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Revised 8th Edition According to the Latest Syllabus .J
ENGINEERING MATHEMATICS Volum.e-IIIA for 3rd Semester (For CSE & IT) B.K.PAL, K.DAS,
M.Sc.,Ph.D.
M.Sc.,B.Ed.,Ph.D
•.
COMPUMENTAR'fC Y ~01 FOR SALE
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Preface
MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY, W. B.
Engineering Mathematics being one of the most essential subjects of the B.Tech., course offered by the Engineering or Technological Institutes. This text book is written according to the syllabus of WBU Tech covering the entire course and also as reference book to the all India Engineering Courses in four separate volumes. The present volume (Vol IlIA) has been designed for B. Tech 3rd semester, i.e. Second year 1st semester for the sudents of Computer Science & Information Technology under WBU Technology syllabus . Sincere attempts have been made to present the topics in a simple and lucid manner to create interest into the subject along with various types of worked out problems for securing high marks in the examination . Valumes I, II and IV, published previously, have achived acceceptation to the Professors and have become popular to the students considering the utility of the same. We take this opportunity to express our gratitude to all the Teachers & Professors who recomended our books to the Students and sent their valuable comments. We are thankful to Dr. Purnendu Dhar, M. Sc.(Chem)., Ph.D.,Director, Mis. U. N. Dhur & Sons Pvt. Ltd. for publishing the book in time. Any positive suggestion shall be acknowledged with thanks. This work would not also be possible without the constant encouragement and enthusiasm of our family members. Kalyani Govt. Engg. College Nadia, West Bengal. Dated: July, 2005.
Bidyut Kumar Pal Kalidas Das
Syllabus for B. Tech in CSE & Information Technology (Applicable from the academic session 2018-2019) Subject Code: BSC 301, Category: Basic Science Course Subject Name: Mathematics- III Semester : Third [L-T-P : 2-0-0 ] Credit:2: Pre- Requisites: No-prerequisiteCourse Content: MODULE1: Sequences and series [8L] Convergence of sequence and series, tests for convergence, power series, Taylor's series. Series for exponential, trigonometric and Logarithmic functions. MODULE 2: Multivariable Calculus (Differentiation) [7L] Limit, continuity and partial derivatives, Chain rule, Implicit function, Jacobian, Directional derivatives, Totalderivative; Maxima, minima and saddle points; Gradient, curl and divergence and related problems. MODULE3: Multivariable Calculus (Integration) [8L] Double and triple integrals (Cartesian and polar), change of order of integration in double integrals, Change of variables (Cartesian to polar). Theorems of Green, Gauss and Stokes (Statement only) and related problems. MODULE4: Ordinary Differential Equation [9L] First Order Differential Equation, Exact, Linear and Bemoulli 's equations, Equations of first order but not of first degree: equations solvable for p, equations solvable for y, equations solvable for x and Clairaut's form, general & singular solution. [5L] Second order linear differential equations with constant coefficients, D-operator method, method of variation of parameters, Cauchy Euler equation. [4L] MODULE5: Graph Theory [8L] Basic Concept of graph, Walk, Path Circuit, Euler and Hamiltonian graph, diagraph. Matrix Representation: Incidence & Adjacency matrix. Tree: Basic Concept of tree, Binary tree, Spanning Tree, Krus Kal and Prim's algorithm for finding the minimal spanning tree.
Conten.ts
https://www.instagram.com/ranjan_mahato_rkm/ CONTE TS [II]
(MODULE-II
1-73 1-75 1-76 1-82
QUESTIONS
ANSWERS
I[J]
[III]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
Ib;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;S;.E;;;;Q;.v;;;;E;;;;N
C;;;;E;;;;;;;;;;;;;;;&;;;;S;;;;E;;;;R;;;;IE;;;;;;;S
1.1.1. Introduction. 1.1.2. Sequence. 1.1.3. Monotone Sequence. 1.1.4. Bounded Sequence. 1.1.5. Limit of a Sequence. 1.1.6. Convergent, Divergent and Oscillating sequences. 1.1.7. A few Basic Theorems. 1.1.8. A useful sequence. 1.1.9. Theorems on Limits of Sequences. 1.1.10. Illustrative Examples. I.I~ II. Infinite Series. 1.1.12. Two Important Infinite Series. 1.1.13. Some Properties of an Infinite Series. 1.1. 14. Power series. 1.1.15. Interval of Convergence. 1.1.16. Properties of power series. 1.1.17. Test of Convergence of Series of non-negative terms. 1.1.18. Comparison Test. 1.1.19. Illustrative Examples. 1.1.20. D' Alembert's Ratio test. 1.1.21. Illustrative Examples. 1.1.22. Cauchy's Root test. 1.1.23. Illustrative Examples. '1.1.24. Raabe's test. 1.1.25. Illustrative Examples. 1.1.26. Alternating Series. 1.1.27. Illustrative Examples. 1.1.28. Absolute and Conditional Convergence. 1.1.29. Illustrative Examples. EXERCISE
[I]
LONG ANSWER
IX
SHORT ANSWER ANSWERS
QUESTIONS
1-1 1-\ 1-2 1-2 1-3 1-3 1-4 1-6 1-9 1-10 1-19 1-21 1-22 \-23 1-23 1-24 1-24 1-26 1-27 1-40 1-41 1-48 1-48 1-5\ 1-52 1-62 1-63 1-65 1-66 \-69 1-69 1-72
1.2.1. 1.2.2. 1.2.3. 1.2.4. 1.2.5.
Introduction. Taylor's Infinite Series. Different Forms of Taylor's Infinite Series. Maclaurin's Infinite Series. Illustrative Examples.
1-83 \-83 1-84 1-84 1-85 1-89 1-92 1-93 1-93
EXERCISE ANSWERS
[ I]
MULTIPLE
CHOICE
QUESTION
ANSWERS
IMODULE-2I
I~.ll ~_
SEVERAL
VARIABLE
--;;;;;;;;;;;;;;;;;D;;;;;;;;I F;;;;F;;;;E;;;;R;;;;E;;;;N;;;;T;;;;I;;;;A;;;;T;;;;IO;;;;N;;;;;;;;O;;;;F;;;;;;;;F;;;;U;;;;N;;;;;C;;;;;;T;;;;;I O;;;;;N;;;;;;;;O;;;;;;;;;F
2.1.1. 2.1.2. 2.1.3. 2.1.4. 2.1.5. 2.1.6. 2.1.7. 2.1.8. 2.1.9. 2.1.10. 2.1.l1. 2.1.12. 2.1.13. 2.1.14.
Introduction. Function of Two or More Variables. Geometrical Interpretation of a Function of Two Variables. Limit and continuity of a Function of Two Variables. Illustrative Examples. Repeated Limit. Partial Derivative. Illustrative Examples. Higher Order Partial Derivatives. Illustrative Examples. Function of functions: Chain Rule Illustrative Examples. Chain Rule for Functions of three or more Variables. Illustrative Examples.
2-1 2-1 2-1 2-2 2-3 2-5 2-7 2-8 2-14 2-15 2-23 2-23 2-25 2-25
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x
ENGINEERING
2.1.15. 2.1.16. 2.1.17. 2.1.18.
Differentiation of Implicit Function. Total Differentiation. Second Order Differential. lllustrative Examples.
[I]
SHORT ANSWER
MATIIEl\IATICS-III.\
EXERCISE QUESTIONS
ANSWERS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[III]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
2-31 2-35 2-36 2-37 2-46 2-46 2-49 2-49 2-55 2-56 2-59
I~I~~J_A_CO_B_IAN~_&~H_O_M_O_G_E_NE~OU_S~F;;;U~N;;;;;CT;;;I~O~N
2.2.1. 2.2.2. 2.2.3. 2.2.4. 2.2.5.
Jacobians. lllustrative Examples. Homogeneous Functions. Euler's Theorem. lllustrative Examples. EXERCISE
[I]
SHORT ANSWER
QUESTIONS
ANSWERS
[II]
Lone
ANSWER
QUESTIONS
ANSWERS
[III]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
IMI
MAxiMA
&
MINIMA LAGRANGE MULTIPUER
2.3.1. 2.3.2. 2.3.3. 2.3.4. 2.3.5.
Introduction. Maximum and Minimum of a function of two variables: Illustrative Examples. Lagrange's Method of Undetermined Multipliers. Illustrative Examples.
[I]
SHORT ANSWER
EXERCISE
ANSWERS
2-60 2-61 2-65 2-65 2-66 2-78 2-78 2-79 2-79 2-80 2-81 2-83
QUESTIONS
2-84 2-84 2-88 2-97 2-98 2-116 2-116 2-117
CONTENTS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[III]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
XI
2-118 2-120 2-121 2-122
IMI;;;;;;;;;;;;;;;;;;;;;G;;;;;R;;;;;AD;;;;;;;;;;I;;;;;E;;;;;N;;;;;T;;;,D;;;;I;;;;VE;;;;;;;;;;R;;;;G;;;;;E;;;;N;;;;;C;;;;E;;;;A;;;;;N;;;;;D;;;;;;;C;;;;;U;;;;R;;;;;;;;;;;L
2.4.1. 2.4.2. 2.4.3. 4.4.4. 2.4.5. 2.4.6. 4.4.7. 2.4.8. 2.4.9. 2.4.10. 2.4.11.
Introduction. Scalar and Vector Fields. Gradient. Directional Derivative of a Scalar Point Function. Tangent Plane and Normal to a Level Surface. Illustrative Examples. Divergence of a Vector Point Function. Curl of a Vector Point Function. The Laplacian Operator V2• Important Identities. Illustrative Example.
[I]
SHORT ANSWER
EXERCISE QUESTIONS
ANSWERS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[Ill]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
2-123 2-123 2-123 2-127 2-130 2-131 2-137 2-138 2-140 2-140 2-143 2-151 2-151 2-153 2-153 2-155 2-156 2-158
IMODULE-3I I~I~;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;D;;;;;O;;;;;;;U;;;;;;;B;;;;;;;L;;;;;;;E;;;;;;;I;;;;;;;N;;;;;;;T;;;;;;;EG;;;;;;;R;;;;;;;A;;;;;;;L;;;;;;S
3.1.1. 3.1.2. 3.1.3. 3.1.4. 3.1.5.
Introduction. Definition of Double Integral. Evaluation of Double Integral by Repeated Integral. Transportation of Double Integral. Application of Double Integrals.
[I]
SHORT ANSWER
EXERCISE QUESTIONS
3-1 3-1 3-2 3-14 3-19 3-29 3-29
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XII
ENGINEERING
ANSWERS LONG ANSWER QUESTIONS ANSWERS MULTIPLE CHOICE QUESTIONS ANSWERS
[II] [III]
I~I 3.2.1. 3.2.2. 3.2.3. 3.2.4. [I] [II] [III]
IMI 3.3.1. 3.3.2. 3.3.3. 3.3.4. 3.3.5. 3.3.6. 3.3.7. [I] [II] [III]
MATHEMATICS-iliA
3-32 3-33 3-38 3-39 3-41
TRIPLE
Introduction. Definition of Triple Integral. Evaluation of Triple Integral by Repeated Applications of triple integrals. EXERCISE SHORT ANSWER QUESTIONS ANSWERS LONG ANSWER QUESTIONS ANSWERS MULTIPLE CHOICE QUESTIONS ANSWERS
THEOREM
OF GREEN,
Introduction. Line Integral in the Plane. Line Integral in space. Surface Integrals. Green's Theorem in the Plane. The Divergence Theorem of Gauss. Stoke's Theorem. EXERCISE SHORT ANSWER QUESTIONS ANSWERS LONG ANSWER QUESTIONS ANSWERS MULTIPLE CHOICE QUESTIONS ANSWERS
INTEGRALS
Integral.
GAUSS
&
3-42 3-42 3-42 3-56 3-63 3-63 3-64 3-64 3-66 3-66 3-67
STOKES 3-68 3-68 3-73 3-77 3-82 3-89 3-100 3-108 3-108 3-110 3-111 3-114 3-114 3-117
XIII
CONTENTS
IMODULE-4I
I~I 4.1.1. 4.1.2. 4.1.3. [I] [ II] [III]
~ 4.2.1. 4.2.2. [I] [II] [Ill]
19] 4.3.1. 4.3.2.
4.3.3.
EXACT EQUATIONS
Introduction. Exact Equations. Integrating factor (I. F). EXERCISE SIIORT ANSWER QUESTIONS ANSWERS LONG ANSWER QUESTIONS ANSWERS MULTIPLE CI IOICE QUESTIONS ANSWERS
LINEAR AND BERNOULLI'S Linear equations. Bernoulli's equation. EXERCISE SHORT ANSWER QUESTIONS ANSWERS LONG ANSWER QUESTIONS ANSWERS MULTIPLE CHOICE QUESTIONS ANSWERS
4-1 4-1 4-5 4-14 4-14 4-15 4-15 4-17 4-18 4-20
EQUATIONS 4-21 4-24
4-32 4-32 4-33 4-33 4-35 4-36 4-38
DIFFERENTIAL EQUATION OF FIRST ORDER AND HIGHER DEGREE 1ntroduction. Equations solvable EXERCISE-A ANSWERS Equations solvable EXERC/SE-B
for p.
for y.
4-39 4-39 4-42 . 4-43 4-43 4-47
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ENGINEERI
G MATHEMATICS-iliA
4-47 4-48 4-53 4-61 4-61 4-61 4-62 4-62 4-63 4-66
ANSWERS
4.3.4. 4.3.5.
Equations solvable for x. Clairaut's Equation. EXERCISE D
[I]
SHORT ANSWER
QUESTIONS
ANSWERS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[III]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
xv
CONTE
TS
4.6.1.
Cauchy-Euler Homogeneous Linear Equations. EXERCISE
[I]
SHORT ANSWER
QUESTIONS
ANSWERS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[III]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
IMODULE-5I 4.4.1. 4.4.2. 4.4.3.
Introduction. Theorems. Rules for finding CF,
4-67 4-67 4-68 4-71 4-71
EXERCISE-A ANSWERS
4.4.4.
Rules for finding the particular integral (P.I.) by operator method. 4.4.4.1. The inverse operator. 4.4.4.2. General method for finding P. I. 4.4.4.3. Short methods for finding P. I. in some special cases. EXERCISE B [I] SHORT ANSWER QUESTIONS ANSWERS
[II]
LONG ANSWER
[III]
MULTIPLE
QUESTIONS
ANSWERS
•...~ 4.5.1.
..
CHOICE
QUESTIONS
ANSWERS
METHOD
OF
VARIATION
OF
EXERCISE SHORT ANSWER
[II]
LoNG
QUESTIONS
ANSWERS ANSWER
ANSWERS
QUESTIONS
I~
I~;;;;G;;;;RAP=H;;;;' ;;;;D;;;;I-G=RAP=H=&;;;;I;;;;T;;;;S ;;;;F;;;;U;;;;ND;;;;;;;;AM;;;;;;;;;;;;;;;E;;;;:;NT;
5.1.1. 5.1.2. 5.1.3. 5.1.4. 5.1.5. 5.] .6.
Introduction to Graph Graph and Related Terms Isomorphic Graphs Di-Graph (Directed Graph) Theorems of Graph. Illustrative Examples EXERCISE
[I]
SHORT ANSWER
QUESTIONS
ANSWERS
[I I]
LONG ANSWER
QUESTIONS
ANSWERS
[Ill]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
5-] 5-] 5-]6 5-23 5-26 5-34 5-42 5-42 5-44 5-45 5-55 5-57 5-65
I~I~==;;;;;M=A;;;;;TRIX=;;;;;R=EP;;;;;R;;;;;E;;;;;S;;;;;E;;;;;N;;;;;TA;;;;;T;;;;;IO;;;;;N=O;;;;;F;;;;;G;;;;;RA=P;;;;;;;;;H
PARAMETERS
Method of variation of parameters to find P. I.
[I]
4-72 4-72 4-73 4-74 4-89 4-89 4-90 4-90 4-92 4-96 4-100
4-115 4-122 4-122 4-123 4-123 4-124 4-126 4-127
4-100 4-]1] 4-111 4-112 4-112 4-113
5.2.1. 5.2.2. 5.2.3 5.2.4 5.2.5. 5.2.6.
Introduction Incidence Matrix of a Connected Graph. Incidence Matrix of a connected Di-Graph. Incidence Matrix of Disconnected Graph / Di-graph Permutations of Rows/Columns of an Incidence Matrix. Adjacency Matrix ofa Graph (or, Connection Matrix)
5-66 5-66 5-68 5-70 5-72 5-75
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G MATII£l\1ATICS-IIIA
XVI
5.2.7. 5.2.8.
Adjacency Matrix of a Di-Graph Adjacency Matrix for Disconnected Graph / Di-Graph.
5-77 5-79 5-82 5-82 5-86 5-87 5-92 5-93 5-99
EXERCISE
[I]
SIIORT ANSWER
QUESTIONS
ANSWERS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[II I]
MULTIPLE
CHOICE
QUESTIONS
ANSWERS
1MI 5.3.l. 5.3.2. 5.3.3. 5.3.4. 5.3.5. 5.3.6. 5.3.7. 5.3.8. 5.3.9. 5.3.10. 5.3.11. 5.3.12. 5.3.13. 5.3.14. 5.3.15.
;;;T;;;R;;;EE;;;S __ A;;;N;;;D;;;S;;;P;;;A;;;N;;;N;;;IN;;;G__
Introduction Trees and Related terms: Theorems on Trees. Theorems on Binary Trees. Spanning Tree and Co-Tree. Breadth First Search (BFS) Algorithm for construction of a spanning tree. Depth First Search Algorithm for construction of a spanning Tree. Theorems on Spanning Tree. Illustrative Examples. Finding all Spanning Trees in a Graph. Weight of an edge and Weighted Graph. Minimal Spanning Tree (or, Shortest Spanning Tree). Kruskal's Algorithm of finding Minimal (or, shortest) Spanning Tree. Prim's Algorithm of finding Minimal (or, shortest) Spanning Tree. Miscelleneous Examples. EXERCISE
[I]
SHORT ANSWER
QUESTIO
S
ANSWERS
[II]
LONG ANSWER
QUESTIONS
ANSWERS
[III]
T;;;R;;;E;;;;;;E
MULTIPLE ANSWERS
CIIOICE
QUESTIONS
5-100 5-100 5-103 5-108 5-109 5-113 5-114 5-116 5-117 5-119 5-12 I 5-123 5-125 5-127 5-131 5-136 5-136 5-140 5-141 5-150 5-152 5-159
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I MODULE-II 1[]I~OiiiiiiiiiiiiiiOiiiiiiiiiiiiiiOiiiiiiiiiiiiiiOiiiiiiiiiiiiiiOiiiiiiiiiiiiiiOiiiiiiiiiiiiiiSiiiiiiiiEiiiiiiiiQ~UiiiiiiiiEiiiiiiiiNiiiiiiiiCEOiiiiiiiiiiiiii&OiiiiiiiiiiiiiiSiiiiiiiiEiiiiiiiiRliiiiiiiiEiiiiiiiiS
1.1.1. Introduction. The present chapter introduces briefly the theory of sequence and infinite series. Unlike finite series the sum of an arbitrary infinite series may not. be obtained. When it is obtained the infinite series is named convergent series. We begin with- definitions of convergence and divergence and oscillatory series. We introduce a number of useful tests for the convergence of series. In first few sections we deal only with series of positive terms. In the later sections we consider series whose terms are not restricted to be positive, introducing the notion of absolute convergence. We then demonstrate a theorem, called Leibnitz's theorem which is useful for testing convergency of alternating series. By its use we .exhibit such an infinite series which converges but which fails to converge absolutely. But first of all, we discuss some basic concepts on 'Sequence' which is very useful for studying Infinite Series. 1.1.2 Sequence. A collection S of real numbers (not necessarily distinct) is said to be a sequence of numbers if corresporiding to every positive integer n, there exist a unique element of S. Note. (1) The element of S corresponding to the positive integer n is usually denoted by an' (2) A sequence of numbers can be written in the form -a1 , a2, a3 . Notation. -A sequence consisting of ai' a2' {ai' a2,
••••••
}
is usually denoted by
or briefly by { an}.
Illustration. (i)
{5, 7, 9, ll} is a finite sequence.
--Ill}. _ I (ii)" { 1,-,-,-, ... 1.e.,{an}wherean=-, 2 3 4 n known as harmonic sequence. (Hi) The sequence {an} where an It is {5, 5, 5, }. E.M:3A-l
=5
IS
a sequence.
It is
for all n is a constant sequence.
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E GlNEERlNG MATHEMATICS-lllA
1-2
(iv) . The sequence
{an}
where an = ~ {I + (_1)"-I}, where n is
natural number, i.e., the sequence is {I, 0, 1,0,
}.
3.1.3. Monotone Sequence. Monotonic Increasing Sequence A sequence {an} of real numbers is said to be monotonic increasing ifal Sa2 Sa3 Sa4 S ,i.e.,aj Saj+1 forl=I,2,3, Monotonic Decreasing .Sequence.
.
A sequence {an} of real numbers is said to be monotonic decreasing if al
a2 ~ a3 ~
~
Monotonic
0,
.
Sequence.
~ sequence sequence
, i.e., aj ~ aj+1 for i = 1,2,3,
{an}
{an}
of real numbers is said to be monotonic
if the
is either monotonic increasing or monotonic decreasing.
ote. A sequence can neither be increasing nor decreasing e.g. {I, 0, 1, } is neither monotonic increasing nor monotonic decreasing.
1.1.4. Bounded Sequence. A sequence {an} of real numbers is said to be bounded above if there exist a real number M such that all S M, for n = 1,2, . A sequence {an} of real numbers ~s said to be bounded below if there exist a real number m such that an ~ m, for n = 1,2, 3, . Definition. A sequence {all} of real numbers is said to be bounded if the sequence is bounded above as well as bounded below. ote. Obviously a sequence of real numbers is said to be bounded if and only if there exist a positive number k such that I an I S k, for n = 1, 2, . i.e., ..-k San S k, for n = 1,2, Illustration. (i) . The' sequence
{I, 2\ ' ·3\ ,.'.} (ii) 2
{I, 3, 3 , below).
. where
is bounded because
The sequence ••• }
{an}
{a n}
is not bounded,
.
°
an
< an
where an although
=
1 n2
i.e.,
the
sequence
S 1 for all +ve integer n. = 3n-l,
that is the sequence
all ~ 1 'if n EN (i.e.,
bounded
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SEQUENCE & SERIES
1.1.5.
1-3
Limit of a Sequence.
{a n}
A sequence
of real numbers is said to tend to a limit I, if for
every e ~ 0, there exist a positive integer N depending on e, such that for
Ian :- II < e.
every n > N,
,,~oo - = I or simply
Then we write lim a" that is -a" ~ I as 11 ~ 1.1.6.
Convergent,
lim a"
=I
00,
Divergent
Convergent Sequence. Jim an is finite,
and Oscillating
{a,,}
A sequence
sequences.
is said to be Convergent if
n......• 00
Illustration.
-{-II-I}
The sequence _ _ hI, were
1,-, -2'''' -, 3 3 3" an
=n 3
IS
i.e. the sequence
..,
'1' convergent, smce
{an}
Divergent Sequence. A sequence
1111 ,,--+00
{a,,}
1 = 0, a" = I'1111 n ,,--+00
3
is said to be Divergent if lim
a"
11-+00
is not finite i.e. if lim a" .
= + 00 or -
Illustration. (i) The sequence
{an}
where
lim an n--+ 00
_(ii)
00,
n-+ct'J
The sequence {- 4 lim
n-.oo
an =
n}
=
a"
3
=n
lim n3
n --+ 00
is divergent, .as
=+
00,
is divergent as
lim
(-4") = -
00,
11-+00
Oscillating- Sequence. A. sequence which is neither convergent divergent is called an Oscillating sequence, Illustration. The sequence {-I, 1,-1, 1,
} that is, {(-I)"} is oscillatory,
Here «, =(_I)n, Jim
Ozn
n~oo
n400
-I'1m a
+1
211
11--+00
= -lim (_1)2/1 = 1 = I'1m (1)2n+1 = - 1, 11-+00
nor
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1-4
ENGINEERING MATHEMATICS -ilIA
lim
does not exist and hence the sequence is not convergent
all
n --. 00
and not divergent also. 1.1.7. A few Basic Theorems. In this article six important theorems on sequence will be discussed; these theorems are useful in solving problems of convergence of sequences. Theorem I. A convergent sequence determines its limit uniquely. Proof: If possible, II and 12 be two distinct limits of a convergent sequence {xn}' Since II and 12 are distinct, II
* 12, we can take
II - 12 = 8 , where 0
is a non-zero positive number. Now, let us choose a positive number suchthat
E
xn for all n
EN. and as
say
xIIi,
{XII:
is not bounded above, there exists at least one number,
of the sequence such that
XIII>
M,
M being a large positive
number, and since {xn} 'is monotonic increasing
Xm+2,
•••••
are all
Theorem VI. A monotonic decreasing sequence diverges to bounded below:
-00,
if not
XI/HI'
greater than M .Therefore, xn > M, for all n ~ m i.e. lim xn
= 00
n-+a:>
Hence, the sequence
{xn}
diverges to
+00
The proof is similar to that of Theorem V, taken above.
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1-6
ENGINEERING MATHEMATICS -ilIA
r
1.1.8. A useful sequence. Toprove that the sequence
where
{xn},
xn =
(1 +.;
is convergent.
Proof: It will be enough to show that the given sequence is monotonic increasing and bounded above. By the Binomial theorem, we have x =( n
1+-n
l)n
n
...+
=
n(n-l)
1 =l+n.-+
1
n
2!
2
+n(n-l)(n-2)
1 '-3
n
3!
+
n(n -l)(n - 2)...3.2.1 1 .nn
n!
1+1+~(I-.!.)+~(I-.!.) (1-~)+... + ~!(I-';)(I-;)...(Ii) (1- n-I) + I( 1- ;;1)(1-;;... "2!
n
3!
n
n
n:l)
n!
Replacing
n by (n + I),
xn+1 =
-n-
(I)
we have,
1+1+~(1__1 )+~(I __l )(1__2 )+... 2!
+
n+1
3!
n+1
n+l
1 (1__"n+l 1 )(1 __n+I" 2 ) (I __n+1n )
.(2)
(n+l)!
From (I)" and (2), we observe that: (i) the first two terms of 1
xn
1
and 1"
xn+1
are equal, each being 1;
1
(ii) also .: -< -, 1- -> 1- - ,and so on, thus except the first n+1 n n+1 n two terms, every term of xn+1 is greater than the corresponding term of xn
(iii) xn involves (n + I) terms, while all the terms are positive. Hence," xn+l
~ xn
for "all n
i.e. the sequence
{xn}
xn+l
involves
EN"
is monotonic increasing:
(n + 2)
terms and
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SEQUENCE
& SERIES
1-7
Next, we note that xn ~ 2 for all n EN .
{xn}
i.e. the sequence Also,
Xn
=
is bounded below, and 2 is a lower bound.
I+I+~(l-~)+~(l-~)(l-~)+ 2!
n
3!
n
n
1(
...
1)(02)( n-l) 1- -; ... 1- -n-
+ n! 1- -; 1 1 1 0, there exists a positive integer N1, such that 1 IXn - AI < - E for all n > Nl .2
Also, since lim y" 11-+00
. . N2, such that IYn
If N
±
E
E,
for all n > N2
then for n> N ,
IYn - BI
0, there exists a positive integer
1
- BI 1,
XII
> 1, and then we can write
I
So,
x; = 1+ h .
II
:. x = (1 + hn
. :. hn
x-I
< --
n
r
. ( h; > 0 )
> 1+ nhll
[Bernoulli's inequality]
and hn' ~ 0 , as n ~
00
I
conesequently, x; ~ 1 ' as n~
00
case (3) .. When O c x c l , ..!.
'.
-
x""< 1 and we write .
. Then
. 1 X=
(l+hll)n
I
I
xn =-. -
1 +hn
(hn
> 0)
1
0
Il~C:O
3n Example 5.If un = --1 ' show that {un} . n+
is monotonic
increasing and
bounded above. Find its limit. . Solution: .
. Here un
3n = --
n+l
=
3(n + 1) - 3 n+l
.
= 3---
3 n+l
< 3 forall n EN.
. 3 A gam un+1 = 3--n+2
S
UI
n+
0,
-u 11
=(3 __n +3 2 ) _(3 __n 3+ 1)
"=
Hence
{Un}
3(_1 n+l
1_) n+2
=
3 (n+l)(n+2).
> 0, for all n EN
is monotonic increasing and bounded above.
=
Now, "lim u; n ...• eo
lim(3 - _3_) = 3 n +1
n...• co
So, the limit of un is 3. Example 6. Using definition of convergent sequence of real numbers show that ~he sequence {~} ~onverges to O. Solution:
Let
E
I.!.-
We have , n
be any pre-assigned very small positive number.
01 = I.!.I = .!. < E n
n
whenever n > '
.!. E
I If G be the greatest integer in -, not exceeding it, E
then
I~01
G
Hence {~} converges to O.
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E GI EERING MATHEMATICS -iliA
1-14
Example
7. Consider
the sequence
{;:::}
Examirie (i) whether it is monotonic
increasing
or decreasing;
(ii) whether it is bounded above or below, and (iii) State whether it is convergent. Solution: .
.
4
and
U
So,
1
-37[I3n+4 -
n
n+1 -
7
'3 - 3' 3( n + 1) + 4
Un+ I =
• U
.•
4n + 3 1 ( I 2n + 16 - 7 ) 4 7 == -3 - -3 . 311+ 4 3n+ 4 3 3n +4
u; = --
Here, ..
=
(3n+4)
7
(3n+7)
>
0
for n
E
N
> Un for all n EN. [N = set of natural numbers]
Un+1
Hence, the sequence Un =
is monotonic
{Un}
4
(ii) Again.
:. {un}
1]
- 3n+7
7
increasing.
4
3- 3(3n + 4) < 3 for all
n EN
is bounded above .
. (iii) Since the sequence
{un}
is monotonic
increasing
and bounded
above, it is convergent. Example
8. If
monotonic
decreasing
.
Solution
Xn =
X
I 2n + 1 + 1 2n + I
1 1=
= ..!..[1+ 2 2(n+l)+1
. I( 1
n=2'
{xn}
is strictly
and hence prove that it is convergent.
n+1
x,,+1
Xn+1-
show that the sequence .
xn = -= -. 2n + 1 2
: Here, .
Similarly, .
n+l -2 I' n+
2n+3-2n+l
I)'
1(
1)
= - 1+-2 2n + I
_1_]
..!..[1+ 2 2n+3
-I
--'-":'" log2
(1)
log Thus, by, choosing an integer' N >
E,
log2 We have IXn - 21 XI
X2
or,
'
Here, obviously,
x2
< XI
X2
> xI
Therefore, the sequence is monotonic increasing. From (1) we have,
X;+I
xn - 2 = 0
-
or, x~ -xn -211
Vn be .two series of positive numbers and
v~ is divergent. Then the series (i)
lIn ~ Vn
L:
u; is divergent if
there exists a positive integer N such that
Un ~
kv; for all values
of n ~ N where k is constant" or if lim!!J:L = / where / is a non-zero nwnber (l may be oc) .
(ii)
n~
00 VII
Proof Beyond the scope. ote : (i) of the above theorem gives that if
L vn
is divergent if Theorem . Then (i) if ~
3. Let
>~
Un+1
series
L:
(ii) if ~ U,,+l
L:
Un ~ V n
for all n then
L un
is so.
L:
U/l
and
L:
v" be two series of positive numbers .
and
L:
v" is convergent, then the
for all values of nand
L:
v" is divergent, the series
for all values of
11
V/l+1
un
is also convergent 1). Therefore the series L IIn i.e. the given series is convergent. L
VII
i.e.,
L
-2
log 11
00
Example. 4. Test the series ,
L n=2
rrrt:
"\In
+I
Solution. Let u; (n = 2, 3, ... ) denote the n-th term of the given series. Then for n
2, 3, ... , logn ull = .In+l . 7'
Consider a series
L Vn
' 'un }nn -
N ow,
n--'fOCJ
and 'the series'
LVII
Vn
=
where }' 1m
VII
= ~.
..rniog n
n--'foo..r;+T'
=
n1m
log n
n=v «: ~1
+~
= 00
,
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& SERIES
SEQUENCE
i.e.,
L~
1-29
=~
O.
LU"
i.e.the given series is divergent.
J2 Y2
+
.J3
Y2
+
+ b a.2 2 + b
2
1).
aJ
2
+b
+ ." [W.B. UT 2004]
Un
(n= 1,2, ... ) denote the n-th term of the given series.
Then for n
=
J, 2, ... ,
Un
=
Solution. Let
..In 3/" 0.n/2
+ b
We see in the fraction U," (the degree of the expression in denominator) - (the degree of the expression in numerator) So we consider a series
= ~ - ~ = l.
L v n where v n = ~. II
,.- . B ut liun ,un -. ,,-too vn.
Now
LVn
i.e.
liun
=
n-too
n3 e n
anYz + b
Yz =
liim n-too
n3
U'I
. 3
6. Test the convergence 1/ 3' -
={n + IV
a fini illite num b er.
L ~ is a divergent series (being ap-series
Therefore by comparison test the series divergent. Example.
-,1
anYz + b a
LU
withp
= 1).
i.e., the given series is
n
of the series
n.
LlIn
where
[W.B. UT.2003,2007J
Solution. Here I
={n (l+ nl3)V-n 3
=17
=-,
1·1 -~(~-I).(1) 1+-.-.: [ 3
+-.JJ
1/"
1 (1 : 1
1/-
2!
---,-:-",oo,uptooo.
3
9
n"
-
1/3
)
2
]
+oo'Uptooo-11
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1-30
ENGIN~ERING MATHEMATICS-UIA
Consider a series :. ,
L vn where
~._I- + ... upto 9 n3
lim un = -lim (~Vn n-+oo 3
n-+oo
LUll
Hence by comparison test, both diverge. ,But ~ vn i.e., withp
=
vn =~. n
'and
LVII
(0)
=~,
3
a finite number.
will either both converge or
L nl2 is a convergent
series (being a p-seties
2>" I).
LUll
Therefore the series
i.e., the given series is convergent.
. . 1 22 33 44 Example. 7. Test the convergence 01 the senes 1 + -2 + -3 + 4 + -5 + .... 234 5 [WB.UT. 2005,2016] Solution. Omitting the frrst term, let un (n = 1, 2, ... ) be the n-th term of the given series. Then for n = I, 2; .:.. nil
U
----7"
II -
(n+1)n+1'
Since the difference of degree of the denominator and numerator is 1,
LVn
so.we considera series . , lim un
vn
nn+1
=
=~. n
11m ---_
n-+covn
n-+co(n+1)11+1
., 1 1un -------:-
= ,
n-+co
I' II
~moo
1
1
=-
e
(
1 )11+1
1+n 1
r.
(1 + ~ (1 + ;) 1
=: -;. (l
LV
where
+ 0) [
':
lim (I +
II-' 1, is convergent.
1·rm n~oo
L
+ ~ + ~ + ~+ ....
is so. 1 logn
[c.p 1998]
>! , for all >2 11
11
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SEQUE CE & SERIES
1-35
Let us compare the given series with the divergent series
L:>" =!+!+!+
...-:-!+...
2 3 4 n Each term of the given series exceeds the corresponding term ofthe
LVII .
diverge~t series
Hence, the given series is also divergent. 1 J L00(1 -srn + vn-l ,------;
Example. 19. Test the convergence of the series. Solution:
Denoting the given series by 1
1
u; = r + ,J
We have
vn .
I
"n(n-l)
1'1-1
LVII , where
vn
=
l
(~.+ Fn)Fn
U
lim _"
=
VI1
11••••• 00
L t!" ,
~+Fn
=
Let us introduce a comparison series .
,,=2
lim -'--~;=====-00 ~n(n -1)
11•••••
I
1
1
1
Example 20. Examine whether the series - - - +- - -+ 11 2.3 3.4 4.5 convergent. Solution : Den~ting the given series by . 1
1
1
Iunl=n(n+l) =-;;- n+l s, =·ilunl= (1_!)+(!_!)+
21~,we have, un=(_I)n-l.~),\n+l
So
.
1
2
.
So, lim
00
SI1
tt •...•
2
....:+(! __ 1 ) =1__ 1
3
n.
n+l
=1
Thus the series )
"'-J
u; is absolutely convergent, so it is convergent.
Example 21. Obtain the sum of the series .
Solution:
n+l
Denoting the given series by ..
1
un
=
(n+3) (n+4)
f I
Lilli
1 ) [c.p 2006] (1'1+3)(11+4 ,
we have
. IS
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1-36
ENGINEERING MATHEMATICS-ilIA
s;
If Sn
denote th~ nth partial sum of
I
UII
,
+ U2·+·····+ull I I I 1. =-+-+-+ .... +----4.5 5.6 ·6.7
::·UI
(n+3)(n+4) =(±-±)+(±-i)+(i-~}"""+(n~3 . So . lim -~
S;
.I
- n~4) =±- n~4
.. I Hence the sum~f series is _.
=-
··4
4
Example 22. Test for convergence of the series: . I· I. ~ 1 (i) 1+ - +-+... (ii) L..J J, . 2! . l! 11=1 -Jn). Solution:
(i) Ifwe denote the given series by
I
UII
,
.I .Un=·~,
.
n. we notice ·that Ii! ~ 2n-1 for all n ~ 2 . 1 I·· for all n~2 n! .2n.
:.-:5--1
~ Now, L..J
1
2/1-1 =1
I
1
1
+2" +22 +23. +
being an infinite geometric se-
11=1
ries with common ratio .
.2·
J.. < I,
Hence the given series:
is convergent.
I ~! is also convergent,
(ii) we know, .n! ~ 2n-1 for all n ~ 2 .
or,
II-I
../n! ~ 2 "2 , for all
< _1_. .i.e, ._:_1_ r., -.. vn! -
II-I
.
2
I·./11_
2
n~2
,for all n ~ 2 .
~ < 1 is con1 bei!}g a geometric series with common ratio . v2 2 2. . I . vergent, Hence, J, is also convergent. . vn!
I
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,-
SEQUENCE & SERIES
1-37
Example 23. Test each of the following series for convergence: 1 J 5 (i) 123 + 2.3.4 + 3.4.5 +..... . Solution:
1
1
.Jli + .J2j + .Ji4 +....
(i) Denoting the given series by
L u; ,
2ri -1 =------,-
U
n(n + 1)(n + 2)
n
Let us compare
LU
with
n
2
.
un.
Now,
;,;-=
So, Jim u" .vn·
n-+oo
L
The~ But
1
.(ii)
U".
and
L vn = ~,n
Hence
L
Vn,
where
VII
=~
n
(11 )(211-1) = n.+l ~
(2n-l)n n(n+l)(n+2)
= 2 =t 0,
L
=
(
1 J(2-lJ
1+~
1+~.
and finite
LV
.
n
converge or diverge together.
being a p-seriers with p
=2>1
is convergnet.
i~ convergent.
UII
(ii) If the given series is represented by
L
Un ,
1
'.In=~n(n+l) . Let, us introduce a comparison series ~ . ~ 'I'UD-= u; I'im n-."9
Vn " u-...,
.
L
Vn
R
where vll .
=~
n
n liun 1 == 1 =t 0 an d fimi't e. ~n(n + 1) IHOO. • 1 . L--
n
So, either both But .
Vn ,
L u, and LV
n
converge or both diverge.
= L~ ,being a p-series n
with p
= 1, diverges.
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1-38
ENGINEERING MATHEMATICS - IIIA
Hence' ".
L u; = L
1 is divergent. ~n(n +I) .
. . . 1 1 1 1 Example 24; Testfor convergence of the series.-+-+-+-+ '. . '. . 3.7 4.9. 5.4 . 6.13 Solution : If the given se~ies is represented by . I = ...,-----:-:,-----,-
U
n .
. Let, v n Now
1· = .
(n+2)
.
1')2
,
u
'. IHOOVil
(2n+5) .
LVII is convergent
thus. ".
lirn -II
. n2 .
= 11m
= 2" "* 0
L u;
(p = 2) I'
.
= lim -,----,--,.--.,-
1H0)(1+~)(2+~)
n~0)(n+2)(2n+5) I.
Hence
LUll ,
.
.
and finite.
is .convergent.
.
.
Example 25. Testfor convergece of theseries:
f(Vn4 + 1 ~FnCl) fI=l
Lu; , we have ~FnCl)( V+i +FnCl)
Solution : Denoting the given series by
,( ~ u -
'V+i+FnCl
n -
. .' '" we shall compare ~ Since
.'
ullTI-= Un
fI~OOV • 1/
'" u; with ~
. ,.
rrn
II~'"
"
. and finite and .
- V+i +FnCl V" ,
where
VII
-;:r
== 1
2
1
R="*
n4
n4
2n
I' Im Vrr=: n' + 1 + Vrr=:> n' - 1 tHOO
LV"
1 ="""T
n
2
-
2
R
1+-+
I
I 1--
is convergent, '" ~ u" is convergent.
0
.
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'SEQUENCE & SERIES
1-39
1·2 3·4 5·6 Example. 26. Show that the series 32.42 + 52.62 + 72 .82 + ..... is convergent. Solution, : If we denote the given series by
I u; ,
(2n-I)2n, Un
=
2
, I Let vn = 2' then n ull '2n
I v, 3()2n -
is convergent. 2 4 ' -- n
1
Now, v" = (2n+I)2(2n+2)2 so that Jim~=
, But
I
(2+~)'(2+;)"
=
J
Vn
I1-+CO
L u;
Therefore,
2
I) (2n+2)
' (2n+
I v"
and
v,,' 'is convergent,
either both converge or both diverge.
Lun
Hence,
is convergent
Example. 27. Test for convergence of the series: (1) Isin~;
··) ~ .1 C II ~S102
, . n
, Solution:
,
(i) Let
lI,i
. I = SIn- and n
, Now, Jim 11--+00
I But I
,
till
VII
, ."
VII
SIO-
Un
= lim -'
VfI
11--+00
I
_11
n So,
111 ~
.
= lim ~ 9--+0
-y11
1 =n
• J
,
I 1 r tan-
'C···)'~
n
8
e
, where
=1;tO
I both converge or diverge together. =I~ is divergent. and
VfI
11
,
'
I'
'
Hence "'-' u" =,~~ sin-n is divergent. ' ~,
17
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ENGINEERING MATHEMATICS -iliA
1-40
") H ,,1 C 11 ere, un = SIn2, ,
Iet vn I)
. thus lim·""-= lim . ( ") 1 VII
I1~OO
, ,'2
So,
I
1
n'
, (Sin n-4C1'J
=2
n
=.j" 0, and finite as before . .
n
'1 Here, I ,
I
and
UI1
Vn
both converge or both diverge,
Vn
'
=I
2, being a p-series with p = 2, is convergent.
'n
'
I>n =Isin
, Hence
"') , C 111 Let, ,
un
1 = r '",n
( 1 ) ,n2
, is convergent.'
tan- 1 n
We consider 'a comparison series
,
,'
r:
liri1:un = lim' n~
'Now,
11--+'"
v II
11--+00
'"
n
L
'(
VI1 ,
1)
tan-' tan(1.) = lim ( )
n
1.
11--+""
n So,
L un
But Iv n . Hence 1.1.20.
a~d
L vn
LV
fiX ' being a p-series "I
n
I
n n
= 1~ 0,
'
11
2
and finite
'
are both convergent or both divergent.
1
I
=
I
..In = X
where vn =
with
p
> I , is convergent.
..II) ,
= L.. ..In ta,\
-;; is convergent.
D' Alembert's Ratio test. 00
Let
L
u;
be a series of positive numbers such that lim
n=1
11-t 00
1In+1
exist
ul1
aJ
finitely and let Urn n-too
un+l Un
= I, The series L
divergent if l» 1. When 1 = 1, the test falls, Proof
Beyond scope,
Un
is convergent if I < 1 and
n=l
[WB. lJ.T,2005,2016]
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& SERIES
SEQUENCE
1.1.21. Illustrative
1-41
Examples.
Example. 1. Examine the series for convergence .
.
So
un+1 ,
(n+l)2
_n2
Solution : Here,
1In+1 =
un - -n'
2
. 217
+1.
= (n+ \)2 .~=.!.(1+.!.)2 2'!+1
Un··
n2.
2·
n
Therefore, .lim U,,+l =.!. < 1 u; 2 ,,~!X)
2
IU = I ~ is convergent. 2
Hence the given series
n
. 1 2 3 n Example. 2. Show that the series-+-2 +-3 +...+-n is convergent. . 2 2 2 2 Solution : Denoting the given series ,
. n + 1 2" n+1 lun--).= lim--= n ,,~OO 2 + n ,,-+"" 2n
U,,+)
:. hm--=
,,~oo
by I·u"
Un
.}lence the series
I u;
,
( 1 1) 1 lim -+_. =- I).
LU"
Hence by comparison test the series
is convergent when x
= I.
Thus the given series is convergent when x :::;1. Example. 8. Discuss the convergence of the series 2P 3P 4P 1+. -. + - + - + ... (p > 0). 2! 3! 4!. . Solution, Let
lI."
[W.B. U. T. 2008,2014]
(n = 1,2, ... ) denote the n-th term of the given series.
Then for n = 1,2, ... nP it =-
n!
n
U
-
. ,,+1 -
(n + l)P (n + 1)!
,.
· --= 1111+1 I1m n~a:>
lIn
I'1m n~ 1.
when
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1-46
ENGlNEERING MATHEMATICS -111A
Example. 11. Discuss the convergency of the power series 1
x2
X4
~6
--+--+--+--+
. 2../1 312 4./3 Solution. Let
UI1
...
5../4
.
(n = 1, 2, ... ) denote the n-th term of the given series.
Then for n = 1, 2, ... X2n-2
un
=
en + 1).Jn· X211
U
11+1
=---r===
(n
+ 2)..Jn+f·
.un+I·=·n+l 'n+2
Un
li
~_n_' n+l
=_1_+_;;_1 ~_l_
x2
.
1+ 0
u n+1
n~~
.
2
1+n ~
1+n
2
--;;:= 1+2.0VT+O·,X
x2
1.
2
=x
.
Hence by D' Alembert's ratio test, the given series is convergent when x2
1, when
1
= ----=
(n+l).Jn
n
x2
n
=
1 the test fails.
~2( 1)' _
1+-
/1
LV
Consider a series
. n
where
1
VII= -3
.
/12
I·1m -Un = I'1m -- 1 n~oovn'
= -- 1 = 1 a filn1it e num b er. 1+0 '
n~ool+~
n Now
LVn
i.e.,
L
1 -3
is a convergent series 3
n2
(being a p-series with p So by comparison test 2 X
=.1.
.
L un
=-
2
> 1).
i.e., the given series is convergent when
Hence the given series is convergent if
X2
s 1 and divergent if
X2
> l.
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1-47
CE & SERIES
SEQUE
Example. 12. Test the convergence of the positive term series u+1 1+--+ ~+ 1
(u+1)(2u+1)· .
+
(u+1)(2u+1)(3u+1)
(~+1)(2~+ 1) .
+ ...
(~+ 1)(2~+ 1) (3~+ 1)
Solution. Omitting the first term, let
Un
(n = 1,2, ... ) denote the n-th term
of the given series. Then for n = 1, 2, ... (u+1)(2u+1) . Un =
... (nu·+1)
(nu + 1) ((n + 1)u + 1) (n~+1)((n+1)~+1)·
(u + 1) (2u + 1)
un+1
.
(J3 + 1)(2~+ 1) ... (n~+ 1)
(~+1)(2~+1)
=
lim ulI+1 = (1+0)u+O = U. UII (1+O)~+0 ~
IHex>
Hence by D' Alembert's ratio test, the given series is convergent when u.< 1 i.e., when a < 13 and divergent when, u > 1
p
.
When u
=
13
i.e., when a>
13.
1 i.e., u =~, the test fails.
13 When u
= 13,
un = 1.
Then lim u; = 1 :t; O. n
--+ 00
So, by Note (2) of a previous Theorem, LUll does not converge. Therefore being a series of positive terms, it must diverge. Hence the given series is convergent if f3 > a> 0 and divergent if
a ~f3 > O. Example. 13. Test the convergence of the series
(~)2 + (.!2)2 + (~)2 3
3.5
+ ...
[WB. U. T.2002,2007,201
0,2012]
3.~.7
Solution. Let un(n = 1, 2, ... ) denote the n-th term of the given series. Then for
11 =
1, 2, ... .(
Mil
=
1.2.3...
3.5.7 ...
(211
11
+ 1)
l.2.3 ... n (n lIn+1
=(
)2 .
+ 1)
,2
. 3.5.7... (211 + 1)(2n + 3»)
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1-48
ENGI EERING MATHEMATICS-iliA 2 1 +-1 + 1 ), = 2n + 3 = ( 2 + ~ .
Un+1
-;:
n J2
(n
(1+0)2 --
U';+I I'1m --= ,,--> U"
2+
00
1 =-nwhere. v" .= .!.. n
= lim
I1~OO
< 1 and
l)n = (1 + ~)n ..~
+
= (n
r =
r
L.!.
+.!)n.= e, a fmite number. n
is a divergent series.
n
. So by comparison test the given series i.e., Lun·is divergent when r 1.1.24 .: Raabe's
= l.
test.
co
Let
LU
be a series of positive numbers and suppose that
n
11=1
.
lim n(~ - 1) = I .
n~oo
un+1
.
co
Then the series .
L »:
·n=1
is convergent if I> 1 and divergent if I < 1.:
when 1:= 1, the test fails
Proof Beyond scope. Note. Raabe's test is used when D , Alembert's ratio test fails.
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1-52
ENGINEERING MATHEMATICS -IlIA
. 1.1.25. Illustrative
Examples.
Example. 1. Discuss the convergent of the series Solution. Let for n'= 1,2...
UIl(~ =
I 1.3 -+-+--+
2
1.35
2.4 2.4.6
....
1,2, ...) denote the.';-th term of the given series. Then
.
- ·1.35 ... (2n - I) =
U n
:. UII~I
=
2.4.6 ... 2n
1.35 :...(2n - 1)(2n + I) 2.4.6 ... 2n(2n + 2)
1 . I'Im~= un+1 I· .2n+ 1 I'Im-- n Iffi--= =2+0=1 n-to> U n-too 2n + 2 tI-too 2 . n +_2 2+0 n Thus D' Alembert's ratio test fails 2+-
0) . '. . 1.2 . 1.2.3 Solution. Omitting the first term, let the given series ..
u,;(n =.1, 2, ...) be the n-th term of
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SEQUENCE & SERIES
1-53
Then for n = 1,2, ... u" .
.
:.
Un+1
=
=
•. U,,+I
. I' .. 1m ,,--+00
1.2.3
+ n) .
a+n n+ 1
I' nn
U,,+I = U
n
a( a + 1)(a + 2) (a . 1.2.3 ... n()n + 1
--=--
u;
a(a+l)(a+2) ...(a+n-l)
,,--+00
"
a -+1
a + n __. lirn --n n+1
n--+oo
1
1+n
0+ 1_ -_ -- 1 1+ 0
So D' Alembert's ratio test fails. Now n(~-I) ,.
I·
=n(~-I)= a +n
u,,+1
(Un
.", 1m n -n--+OO
-
1) = lirn ---'----'n(l-a)
U,,+I·
n--+oo
a +n
n--+oo
. =(l-a)lim
n(l-a) a +n
I
1 .. =(l-a).-=l-aO,
1+ 0
.
given]
00
:. By Raabe's test,
LU
n
is divergent.
n=1
Hence the given series is divergent. Ex~m·ple. 3. Test for convergence the power series .J 3.6 1 +-:-x+--x 7 7.10
(
0)
Solution. Omitting the first term, let u,,(n
= 1,2,
given series. Then for 3.6.9
.un =
2
11
3.6.9 7.10.13
+--x
= 1,2, ...
(3~1)
7.l0.l3 (3n+4)x
".
3
+ ... x>
...) be n-th term of the
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ENGINEERING MATHEMATICS - IlIA
I-54 .
. :. un+l
3.6.9 (3n)(3n+3) n+l 7.l0.l3 (3n + 4)(3n + 7) x
=
UII+l _ 3n+ 3 -----x 3n+7 II
.•
•• ·U
=x
. lilIn--un+l· -1'· 3n+3· Im.--x 11-+.00 un . n-+oo 3n + 7
..
3 3+lim--n- 7 =x--=x 3+0 3+ .3 + 0
n-+ 1 . When x = 1,the ratio test fails For x=1, . 3n+.7 ~.-=--
. un
3n+ 3·
,un+l
.. n(~-I) .•
=n(3n+7 _1)=~=_4 3n+3 3n+3
UII+1
. u
.,. linn(Un --11-+00 U 1 . . . n+. .
3+l n
1) =hm--=--=-> . 4 3 3 +4 0 43 11-+00
.
:. By Raabe's test
n
1
3 +-: n
is convergent.
Hence..the given serie~ is convergent if x ~ 1 and divergent if x> 1. Example: 4. Test the convergencet of the power series x 1 x3 1.3 x5 -+-.-+-.-+--.-+ ·1 2 3 2.4 5
1.35
7
x
2.4.6 7
... (x>O)
Solution. Omittirig the first term, let ulI(n = 1,2, ...) denote the n-th term of the given series. Then for n = 1,2, ... UII
=
1.35... (2n
x2n+l
2.4.6... 2n
2n + 1
-1)
(211 + 1)
1.35 ... (2n .~.ulI+l =
-1)
2.4.6... 2n
()
211
+2
211
+3
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& SERIES
SEQUENCE
. U':+I
. (2n
=
.. un
]-55
+ 1)2
(2+~J
x2
(2n+2)(2n+3)'
.
= (2+~)(2+~)'X
. (2+!)2
.. --!!±!. u. = lim :. lim IHoo ":
2
n
2
.x2 =
(2 + 0)
.
(2+0)(2+0).
Hoo(2+~)(2+~)
.x2 = X2
00
if 1
L
:. By Ratio test, the series X 2 > 1. .But test fails when For X2 = 1, UM1
«;
:. Jim n~oo
=
_ 4n2+4n+l
(2n+2)(2n+3)""
Un+1
.•
is convergent if X2 < 1 and divergent
1.
(2n+l/
_
-1) =
. n(~
X2 =
U"
,,=1
4n2 +10n+6
6_1]-
6n2 + 5n - 4n2 + 4n + 1
n(4n2 + IOn + 4n2 + 4n + 1·
n(-.5L - 1)
\.UTI n~CXl
ulI+1
5 6'+2 6n +5n \' i1. 6+0 3 = UTI =. =_ > 1 4n2 + 4n + 1 I/~CXl 4 + + _1_ 4 + 0 + 0 2 n n2
.± 00
:. By Raabe's test, the series
L
U"
is convergent.
11=1
. Hence the given series is convergent when X2 > 1. .
X2 ~
1 and divergent when
Example, 5~Apply Raabe's test to examine the convergence of : 1+ !.!+ Q .!+ 1.3.5 ..!_ +.... 2 3 2.4 5 2.4.6 7 Solution: Denoting the given series, by UII
=
l.3.5
(2n
-1)
2.4.6 .... 211
2n .,·1
L u; ,
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E
1-56
(2n + 1)
l.35 and
un+1
so,
Un+1 =
=.
Therefore
1
).-_.
2.4.6..2n 2n + 2 2n + 3
(2n + 2)(2n + 3)
un
.
(
(2n + 1)2 .
{Un
}
lirn n --
- 1
Un+1
'/1~ao
Hence the series
=
. n(6n + 5) lim ( ) 2 2n + 1
3 >I 2
=-
/1~ao
L u; .is convergent. L
Example.6. 'Examine the convergence of the' series h were
.
Un =
11/1 ,
. 3.6.9.... .3n
7.1 0.13. .. (3n + 4)
· H 3.6.9.... .3n S0I ution : ere, un = () . 7.10.13 ... 3n+4 and
and
3.6.9
un+1
U
so' that
_n_
7.1 0.13 ... (3n + 4 )(3n + 7)
Iim n{~-l}= n~ao
3n(3n + 3)
= ----'-----,-----'-:-.,.-~-
un+1
Iim n{3n+7 -I} 3n + 3
Un+1
=
n~ao
.Hence by Raabe's test, the series
L u"
3n+7
= __
3n+ 3
Iim ~=i>l 3n + 3
3
n~oo
is convergent.
Example. 7. Examine the convergence of the series:
±+(fJ +(%r ~(i)\······ SOlutiO~ : Denoting the given seriesby
So .
'
· ( Un ).!.n = I"lm--= n 1im /1~ao 2n + 1
,,~oo
.
LU" , here u;
I'un--=-< I 2 1 +n
,,~ao
1 2
=
(2n:
I
Hence, by Cauchy's Root test, the given series is convergent. Example. 8. Examine the convergence of the power series: . 3x2 2x+-+-+
8
4x3
27
(x >'0)
1)"
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SEQUENCE.&
SERIES
I-57
L un is positive
Solution: Since x> 0, each term of the given series
. Here,
(n + 1)xn ==
Un
~
n
3
n+2
==
SO'U +1 n
n3
n+1
(n+l)3x
3
1
n (n+2)
·(n+l)'-;n-;::: (n+lt
.x
2
1+n
- (1+~J.x-->x,as _
~Y D'Alembert's
n-->OO
L
ratio test,
is convergent,
Un
x < 1, and'
if
divergent when x > 1 For,. x == i,the test fails. When
x
n+ 1 n3
.
= 1,
U
n
==--
LV
Let us consider another series
L v" Now,.
1·1m -.un'
Since
L
VII
+I ,,~oo n
n == 1· 1m --
Vn
is convergent,
== 1· lffi n-+oo
(1 + -1) n
LUll
Thus, the given series is convergent Example.
9. Examine 2
2.. 2 x +-.x 3.4
4
2
2
if
+
fini irute number.
x ~ 1 , and divergent if x > 1 . of
2
6
== . I , a
is also convergent.
the convergence
2.4 +--.x. 3.4.5.6
n
> 1, is convergent.
being a p-series with p== 2
n-t'OO
1 v n == 2
where
n ,
262
2.4. 8 x + 3.45.6.7.8
Solution: Denoting the first term by uo' 2 2 .42 .62 ..... ( 2n )2 Un
. and Un+l ==
==
(
) (
3.4.5... 2n + 1 2n + 2
2 2 .42 .62 .... ( 2n )2 ( 2n + 2 )2 ()
3.4.5..... 2n+3
(
2n+4 ).x
211+2 ) .x 2n+4
(
)
x>O
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1-58
ENGINEERI1'lG
SO,
Un+l _ . - ( Un
:. lim UII+l 11-+00U II ,
(2n + 2)2 )( 2n+32n+4
= 11-+00 lim (
-iliA
2
).x
( 1+-1)2
3 1+2n
MATHEMATICS
)n(. 2 )
2
= x2
.X
1+n
Therefore, the series is convergent, if x2 < 1, i.e. if -I < x < 1 The ratio test fails when x2 test. When x =.± 1 we have
= 1, i.e. when
x
= ±l,
and we apply Raabe's
!~Hu::,-ll!~H(2n(:~~~;2+4) -I}] 8
6+-
2
= lim
6n + 8n = lim n-+00(2n+2)2 1H00(2+~r
n=
2> 1 2
,Hence the given series is convergent, when x = ± 1 Thus the given series is convergent, if -1 ~ x ~ 1, and divergent, if x> 1 or x < -1· Example. 10. Examine the convergence of the following series: x2 x3 x4 x+,-+~+-+ ... , 2 3 4 Solution: De~oting the series by Un+l h ere, I'un -n-+oo UII
=
1·
n.x
lffi --
11-+00n + 1
=
LUll ,
1·
1
im --I
n-+oo 1
'
.x
=X
+-
n So the series is convergent if x < i and divergent, if x > 1 . The ratio test fails, if, x When x
= 1, the
=
1 1
1
1
series becomes 1+ - + - + -+ ..... 234 .which is divergent by p-test (here p = 1) Hence the series is convergent for 0 < x < 1, and divergent for x ~ 1
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1-59
SEQUENCE & SERlES
Example. 11. Test for convergence of the series: . 2 6 2 14 3 30 4 1+-x+-x +-x +-x +... 5 9 17 .. 33 Solution : Ignoring the first term, U
n
=
2n+1 211 -t-
_
1
2
+ l'
n
.x
Un+1
2n+2
=
2
-
2 2n+
n+1
+1
.x
So, ,
By Ratio test the series converges, if x < 1, and diverges, if x> 1. Ratio test fails, when x
For x
=
. 1, lim u"
= 1.
..
= lim
n-+oo
2n+1
n-+oo
n 1
2
2
_
+
+
So, the series diverges when x
1
=
. lim 11-+00
(l)n
1-"2
(1 )"+1
. = 1-:t; 0
1+ 2
= 1.
Hence, the series converges if x < 1 and diverges if x ~ 1 . Example 12. Examine the convergence of the series: a
a(a+l)
. b + b( b + 1) +
a(a+l)(a+2) b( b + 1)(b + 2) +
where a and b are non-negative integers and b -:t; 0 . Solution : If we denote the given series by
(b) n 1,. ..as n a n (1 +-
L u; ,
n 1+-
. here,
un
b+n
un+1
a + 11
--.= --
=
) --t
.
n
--t
00
, [C.P. 1997]
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ENGINEERING MATHEMATICS - IJIA
)-60
So, D'Alernbert's Ratio test fails, and we proceed to Raabe's test. . I·Imn{Un ---1 11-+00
}
UII+I
=
I} = limn(b-a) a +n
I·1mn {b+n --a +n
=b-a
n-+oo
n-+oo
Hence, the series is convergent, if b - a > 1 , and divergent, if b - a .< 1 , when b == a, the series becomes 1+ 1+ 1+.... which is obviously divergent. Example 13. Examine the convergence of the series: I+a (l+u)(2+u) 1+ 1+~ + (1+~)(2+~)
(l+u)(2+u)(3+u) + (1+~)(2+~)(3+u)
[C.P. 1965]
+.....
where u· i= ~ Solution : Ignoring the first term, here (l+u) Un =
(2+u)
(n+u)
(n +~)
(1 + ~)(2 + ~)
1
-+1+-
u
I·Hfl 1 + n + u = I·Hfl n n =1 1 + n + ~. n-+oo lIP . -+ +n n So Ratiotest fails, and we proceed to Raabe's test.
Thus
I·1m
11->00
Un+1 --
u;
=
n-+OO
n{~ -
. limo n-+OO
I}
=
.UII+I
lim n-+oo
n{ 1+~ u- u+ n } = lim 1+P -1+u u
=P-
U
n->oo
,
.
n
Hence the given series is convergent if
P-
u > 1 and divergent.
When ~ - u < 1 and u > 0, ~ > 0 Raabe's test is inconclusive, when
u
1
P-
=
when ~ - u = 1 ,i.e. ~ = n + 1 , we have.
=
u n
u(u + l)(u+ (00 VII
I·im . 11->00 U
n
+ 1/ + l
·n= I·un n->OO U
u +1
--+ II
n
wh'ich is divergent.
= 1] . 1
=u> 0
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1-61
SEQUENCE & SERIES
se.
L
UtI
is' divergent.
p-
Hence the given series is convergent for
a> 1, and divergent for
p-a$1. Example. 14. Determine the region of convergence ofthe following series: 2
3
2!
3!
..) 1 x x X ( II +-+-+-+
1!
"
2
.
3
X' x . x ... ~ ... (1.1.1.)'1 +-+-+-+ 2! 3! 4!
. x-3 -1 (x-3f (v) --+2 .3 2.3 Solution:
1
(x-3)3
3
3
+-.
+
3
.
(i) The series: 1 +x +x2 +x3 +.... , being a geometric series, is
Ix! < 1, and divergent if Ix! > 1 .
absolutely convergent for When x
=
Again, if ;
1 , the series is obviously divergent.
= -1 , the
series becomes 1- 1+ 1-1 +.....and it oscillates
finitely between 0 and 1, and the series is not convergent. From above discussions it is clear that the; interval of convergence is
!x!< 1, i.e. -1 < x < + 1. x
x3
x2
(ii) The series is: 1 +-+-+-+ ..... 1! 2! 3! .
Ignoring the first term, .'
n
Un
n+l
= ~,
Un+1
n!
= _x_
n+ 1
By D'Alembert's ratio test,
. I~n+ll= .
lim :"-+00
lun (
UtI
n-+oo
x,,+1
I I -70 0 for all n.
un > un+1 for all n.
;.
So the sequence {un} is a monotonic decreasing. · . 1un un -
Now
1· 1 n 1 nn -. 2· = _ lim n~oo 2 (n+ 1) 2 n~oo
1
n
= 0\ 1)2 1+n Hence by Leibnitz's theorem, the given series is convergent. n~oo
.
(
.
L: CDS2 n7r • 00
Example. 4. Discuss the convergence of the series .
11=1
n +1
. . can bee wri (-1)11 [ .; CDS ntt S o I·ution, Th·e given series written as ~ L. -2 11=1 n + 1 . ~ nIl .i.e., L... (-1) ull WlereU =-2-. I1 n=1 n .+ 1 So the given series is an alternating series. 1
Now,
U~·~ Un+l·
.
1 - (. 1)2 1 n + n+ +
= -2 -1
=
Il~oo
(n + l)(n2 + 2n + 2)
{un}
So the sequence Also· lim
2n+ 1
.
un
2
= lim Il~oo
> 0 for all n.
is a monotonic decreasing. I
-2 -
n +I
.
I 2
= lim _n_ = O. n~oo
·1. 1
+-;:;-. n~
= ( - 1)11]
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1-65
CE & SERIES
SEQUE
Hence by Leibnitz's theorem the given series is convergent.
ttre convergence of the series
Example. 5. Examine 1
1
'1
1
----+-----+···(a>O, a a + b a + 2b a + 3b
b>O). '
Solution. The given series is an alternating series which can be written , ~ II_I 1 as L.. (-1) un where Un = ' . 11=1 a+(n-l)b Now,
=
Un - un+f
,
=
1
.
+ (n - l)b
a
----
1
a + nb
b
(a+nb){a+(n-l)b}
>
°
for all n.
Un > U,,+i for all n.
So the sequence .
Now lim 'n-too,
Un
{tI,,}
is a monotonic decreasing. 1
= lim
n =0. II-too!!..+b_!!. , n 11
1
= lim
Il-tooa+(n-l)b
Hence by Leibnitz's theorem, the given series is convergent. l.l.28.
Absolute and Conditional
Convergence.
00
L u,
An infinite series
of real numbers is said to be absolutely
n=1 00
L Iunl
convergent if the series
is convergent.
n=1 00
An infinite series
L
un of real numbers is said to be conditionally
11=1 00
convergent, if the series
L ull is convergent
but not absolutely convergent
n=1
[which is known as non-absolute convergence]. 00
Theorem.
If the series
L ull
of real numbers is absolutely convergent,
/1=1
then it is c.onvergent. Proof. Beyond the scope of the book. E.M.3A-5
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1-67
SEQUENCE· & SERIES '.
.
2
.
X
3
n
+-X - ...+ ()n+l -1
X
+... is 2 3 n absolutely convergent when [x] < 1 and conditionally convergent when [WB. U.Tech.2001,2007,2016] x=l.
Example. 3. Prove that the senes
X - -
.
-
00
Solution.
The
given
series
can
be written
as
n
Un =(~I)n+l .
..
L u"
where
,,~
~ . .
n
lu~1= Ixln . n
So,
Ixln+1 lu +11=--1 n+ n
lim
U,,+1 U"
. 11-+00
= .
.
lim ,,-+00
_n_lxl = n+l·
lim _1-1 Ixl = Ix], 1+n
n-+oo
00
By D' Alembert's ratio test the series
L Iunl is
convergent if [x] < 1
/1=1
and divergent if [x] > 1. But the test fails when [x]
=
1.
Hence the given series is absolutely convergent when Ixl 1
, L..
is convergent, by.Leibnitz's test.
[see Ex.24.]
!x!~ 1 and divergent
Hence the given series is convergent when
.
X2
Example. 5. Test the convergence of the senes x - -
12
The given series can be written as'
I
x3
+-
when
x4
--
J3 .,f4 + ...
(_1),,-1 x" Un
where
r:
1I" =
vl1
Ixln+1
:. !un+d= -cr=rt : n +1 lim ",••, ~ lim ~ n U
n~oo
n +1
II~OO II
Ixl ~
lim ~ II~OO
.
1
11
Ixl = Ix].
+n
2: Iulll
Therefore by D' Alembert's r~tio test, the series if
But
Ixl < 1i.e. if -I < x < 1 and are divergent Ixl > 1. i. e. if x > 1 or x < -l. the test fails if [x] = 1 i.e. when x = ±l.
When x
.'
= 1 the
111 series becomes 1- - + -
Evidently the sequence { );;} Also .},; ~ 0 as n ~
L
. (-1)"
00.
1
J;i
if
12J3.,f4 -
alternating series and can be written
is convergent.
as ;2: (~1)"
is convergent
-
+ ... which is an
~.
is a monotonic decreasing.
Hence by Leibnitz's
theorem
the series
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SEQUENCE
1-69
& SERIES
Again when x = -1, the series becomes 1·
.- ( 1 +
1
.fi + .J3 + ...
)
.
=-
1
L ..r;;
which is divergent being a p-series, with p = ~ < 1. Hence the given series is convergent for -1 < x ~ 1. EXERCISE [I]
SHORT ANSWER QUESTIONS
1. Show that the sequence {xn} defined by 1 I I xn =--+-- .. +n+ I n +2 2n is monotonic increasing and also show that it is bounded Is it convergent? 2. If
Xn
.
=
n+l ( ) 2n + I' n EN,
show that the sequence
{xn}
is
strictly
monotonic decreasing and hence prove that it is convergent. Find limx.,
.
.
.
3. Show that the sequence {xn} defined by xn
( =
)n+1 1+ ~
is monotonic
decreasing. 4. Show that the sequence
3/1
{x
l1}
defined by
XI1
=
+I
n +2
' is strictly
monotonic incerasing sequence. Is the sequence convergent? Justify your answer. Also find its limit. .. .. . 3n + 1 5. (i) Show that the sequence {xn}, where xn = ~ is bounded Evaluate limx; (ii) Show t~at the sequence
{:n:;}
is bounded and monotone
increasing. Is it convergent. Find the limit (iii) Show that the sequence {x n} ,where
1 x" = 5 + 6n is decreasing
and bounded. Is the sequence convergent? Find limx,.
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1-70
ENGINEERING MATHEMATICS- I1JA
3n° (iv) Ifun = --1' show that n+ above. Find its limit. °
o
{un}
is monotonic increasing and bounded
°
(v) Show that the sequence {~;:
~} is increasing. Find its limit
6.(i) Discuss the bOehaviourof the sequence number.
{xn} , where x is any real
°
(ii) Prove that the sequence °
{rn}
lim r" {I} (iii) Show that the sequence -;;
is convergent, if °
Irl < 1.
°
Test, the convergence ,
1
7. 1+ u
1
+;
4/3
0
of the following series :-
1
u + u + '"
9/3
16/3
1
°
3
5
8. -+--+--+ ... 1.2.3 2.3.4 3.4.5
00. °
f fn +,In+l' 1
9
converges to O.
2 3 4 5 10. 15+25+)5+7+'"
°
• n=1
00 .
1 1 I 11.1+-+-2 +-3 + ... 1.2 2.2 3.2 °
1 I ,-sin-.
°
13. ~
"n
14.
I
1
O). 14 24 3
2·4 2·4·6 {xv)-+--+ 3·5 3·5·7'
'
2·4·6·8 3·5·7·9
2J:s + 3A
+ ...
[WB.UT. 2002]
1 1·3 ... (xvi) 1+-+-+--+ 2 2·4
Ln
3
+ 4$
1·3·5
...
2·4·6
00
7. Discuss the convergencey
of
4e-1/2
1/=1
[WB.UT. 2005]
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SEQUENCE & SERIES
1-75
8. Examine the convergence of the following series :(ii) "
L...
(iv)
(l+nx)" n"
1 L ;"=-x n +1 2
(x> 0) .
n,
[WB. U. T 2006] 9. Examine the' convergency and conditional convergency of the following senes :1 1 1 1 -----+-----+ ... (ii) ~-~+~-~+ ../2+1 ../3+1 ./4+1./5+1 2 5 10
(i)
. 1
1
1
1
log3
log4
-log5
(iii) -----+-----+ log2
.....
•
00
(IV)~
(1~+?
(-1)")
10. For what values of x are the following series convergent .
Xl
XS
x7
3 5-7+
. (1) x-
+
••
X2
Xl
X4
11) x-2T+Y-42+
...
...
11. Prove that the following series converges absolutely
ANSWERS 5. (ii) 2.. 6. (i) Convergent. (:.) 11 C onvergent Iif
p - -1 > 1
(iii) Convergent if
p >~
.22
.2.
(iv) Convergent.
an d di vergent
and diver~ent if
rr
1 p - -1 ~ 1.
p
s ~. 2
(v) Divergent.
(vi) Convergent for a < 1,a > 1 but divergent for a = 1 .(vii) Divergent (viii)Convergent if x < 1 and divergent if (ix) Convergent jf x < 1 and divergent if (x)Convergent.if
x ~ I. X ~
... 17
I.
x s 1 and divergent if x> 1.
".
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1-76
ENGINEERING
(xi) Convergent if
s
x
and divergent if x > 1.
1
(xii) Convergent if x < 1 and divergent if (xiii) Convergent if
x
(xiv) Divergent
MATHEMATlCS-
x ~ I.
s 1 and divergent if x > 1. (xv) Divergent
(xvi) Divergent
7. Convergent. 8. (i) Convergent if x < 1 and divergent-if
x ~ I.
(ii) Convergent if x < 1 and divergent if
x ~ I.
(iii) Convergent if x < 1 and divergent if
x ~ I.
(iv) Conv for 0 < x < 1 and div for x> 1. 9. ·(i) Convergent.
(ii) Convergent.
(iii) Convergent; conditional convergent (iv) Convergent 10. (i)-l 0
16. Art infinite geometric (a)
-l 1
(b) p> 1
(c)
p-l.
4. Expand .log, x in power series in (x - I). 5. Expand cos x in power of x in infinite series. 6. Expand (1 + xf, x in infinite series.
n being a negative integer or a fraction, in power of
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EXPANSION OF FUNCTION
7. Assuming
the possibility
1-91
of expansion,
expand tanx, as far as the term
in x5.
8. Assuming the possibility of expansion, expand e' log(l + x) in ascending ofx
powers
9. Assuming
validity of expansion, ~in(:+8)=
10. Assuming
show that
~{1+8-~~-~:+
the validity of expansion,
....
smx
.. -} show that
(x-%r (x-~r
+~---'--
=j-
2!
4!
[Hint: sinx = sin(2: + x - 2:) = sin(a + h),a + 2:"h = x - ~ ]
.
2
2
2
2
11. Expand in power series in h:
(i)
ex+h,
(ii) eh sin(x + 11)
12. Show that 1ogx=(x-l)--(x-l) ·23 13. Expand
1
2
1 +-(x-l)
3
. -····IS true
for Ob if exists and suppose lim (y) = 1 y->b
=1
Thus lim lim {(X,y) .
y->bx->a.
This limit is called repeated limit of the function {(x,y)
as x ~ a and
then as y ~ b . Similarly the other repeated limit
lim lim {(x,y)
x-oa y-sb
can be constructed.
This is not ensured that the two repeated limits liin lim {(x,y) lim lim {(x,y).
x->ay->b
and
y->bx->a
will be always equal.
Moreover the simultaneous limit lim {(x,y) x->a y->b
may not be equal to the
repeated limits. Even it may happen that the two repeated limits exist and become equal but that equal value is not the limit lim {(x, y) . x->a y->b
However the following result is very interesting. Theorem.
For a function {(x,y)
.
.
if
lim
{(x,y)
(x,y)->(a,b)
andif both the two repeated limits Jim lim {(x,y) .
•
x->a y-l,b
exist then lim lim {(x,y) .
Proof.
x->a y->b
.
exists and equals I .
and lim lim {(x,y) y-sb x-w
= lim lim {(x,y) = 1. y-vb x->a
.
Kept beyond the scope of this book.
ote. From this theorem it is obvious that lim lim {(x,y);t:
x->a y->b
lim lim ((x,y)
y->b x->a
Illustration (1) Consider the function ':\
{(
2 3
x,y, =x y
+
logxsiny y
if
then (x.yl)i~(a.b){(x,y) does not exist.
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2-6
ENGINEERING
MATHE:VIATICS-IIIA
Let x ~ 2 and y is kept constant. Then ""
""
11ml(x,y)
?
= lun(x-y
x~2
3
+
logxsiny
= 22
=4y
i + "log2 sinyy
3
+log2--
)
Y
x~2
.: y is kept constant
siny y
"Next let y~O" Then
Jim lim f(x,y) Y--70
=
2
X~
Jim(4y3
+ log2 sin y)
Y
y~O
= 4x 0 + log 2 x 1= log 2 and
(2 3
"" f( x,y ) = I"un I"rrn x y +---==----'10gXSiny)" li m Iim x~2y~0
Y
"x~2y~0
2
=lim(x xO+logxxl)
.: xisconstant
x~2
= 0+ log 2 = 10g2
Here we see the two repeated (2) Consider
the function
"Here we see for y
limits are same"
f(x,y)=
*0 = 3y
Iimf(x,y)=lim2x+3Y x~o
Then
x~o
lim ~im f(x,y)
X"#
y~O
:. lim Urn f(x.,y) x:-+o y~O
4
-4y
=_~
4
=-~
4
0",
lim f(x,y) y~O
x -4y
= iim (~~)
y~O x-..o
Again) for
2x+3y x-4y
"
. 2x+3y 2x = lim =-=2 y~O x ~ 4 Y x
= Urn 2 = 2 x~o
Here we see the two repeated limits are not same.
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2-7
Moreover we see if (x,y) ~ (0,0) along the line y =mx then lim
f(x,y)=
limf(x,mx)
x~o
(x,y)~(O,O)
= lim x~o
2x+3mx X - 4mx
2+3m
2+3m
= lim--=-x~o 1- 4m
1- 4m
which depends on m i.e.,
lim'
f(x, y) has different value as (x, y) ~ (0,0) along different
(x,y)~(O,O)
"
direction. So
'lim
f(x, y) does not exist
(x,y)~(O,O)
2.1.7. Partial Derivative. Let z = f(x, y) be a function. The derivative of f(x, y) with respect to x, keeping y constant is called the Partial Derivative of f(x, y) w.r.t x. It is denoted by
:
or
fx(x,y)
etc.
f(x + h,y) - f(x,y) . ..' . IS the partial derivative at (x, y). h , Similarly, the derivative of f(x,)I) with respect to y, keeping x constant, I'
8f So, -
ax = h~Oun
,
of
is c~lIed the Partial Derivative of f(x, y) w.r.t. y. It is denoted by' or ,t;,(x,y)." S0,
tly
,
aj 'I'
= im
f(x,y+k)-
f(x,y)
.
'" the partialderivative
at (x, y). 8y k~O k This definition of partial derivative can be extended for function of more variables. -' -
IS
= I(x}, x2, 'oz of Then --=--=/x e.g., let z
oX2 =
•••
iJX2
: f(x) I1m
2
'~2
xn) be a function of n number of variables. (x},x2"""Xn)
+ h, X3
.•. Xn) - f(X»
h~O
is the partial derivative of f(x}, x2,
X2, X3,
: •• Xn)
h •••
xn) w.r.t. x2 at (x,; x2,
..•
XII)'
Note. Unlike function of single variable existence of partial derivatives does not ensure continuity of a function f(x,y,···). See an Example in "Illustrative Examples".
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2-8
ENGINEERING
2.1.8. Illustrative
MATHEMATICS
-lIIA
Examples.
"
1"
Example. 1. Let f(x,y)=x+ysin-, "
X
x #0
=0 Prove that
lim
f(x,y)
= O.
(X,y)-+(O,O)
Then find, if possible,
the repeated" limits
lim lim f(x,y)
and
y-+Ox-+O
lim iim f(x,y) %-+Oy-+O
Solution. We see !t(x,y)-Ol =
Ix + YSin~-ol
=
~I" C
Ix + YSi~l~1
~ Ixl+ Iyljsin
s Ixj"+lyl
ISin~1~
1)
e'e " e E < 2 +2 whenever Ixl < 2 and Iyl < 2 .. If{x, y) -
Thus "
01 -:
e whenever Ix"-
01 < .:: and 2
Iy -
01 < .:: 2
lim" f(x,y) exists and equals 0". (%,y)-+(O,O)
"
Now keepingy constant lim f(x,y)= %-+0
lim(x+ ysin~)which %-+0
does not
X
exist as we know lim sin ~ does not ex..ist.So we conclude the repeated " %-+0 x limit lim Jim f(x,y) does not exist." y-+Ox-+O
Again fo~'costant x lim f(x,y) "
:. lim lim f(x,y) %~O y~O.
y-+O
= lim(x + ysin-l-) = x + 0 = x X
y-+O
= lim x = 0 %-.0
Example. 2. Find, from definition, the partial derivative of the function f(x,y)=
x12e>' w.r.t. x at the point (1,2)
" Solutlon, Here we have to find
"
Ix (1,2) = (If\ -)
""
ox
. (1,2)
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2-9
According to definition fx(1,2)=(aj) ax
="Iim f(1+h,2)-f(1,2) h~O h
(1,2)
"3/
=
3/
. (1+h)12e2_e2 11m , u-:» h
"" 2.z2-12 1i
=e
IIm
"
1i
3
3
3 2
--I
= e2• -12
=-e
2
Example. 3. Find"
[Putting z
z-1
"z~l
81
=
(I+h)12_1 e lim ~---'-_ h~O h 2.
and
oy"
= 1+ h]
2
(81) oy
where f(x,y)
= X3y2 + exy2.
(1,.0)
According to definition of partial derivative we would keep x constant at th~ time of finding iJ f " dy Solution. So, -8f oy
=-
.
a { x 3y 2 + e~y2}
oy
= ; (x3y2)+ = x3
;
a "
(exi) ?
a
Oy (y2) + eXY- Oy (xy2)
= x3 .2y + e~2 .x~(y2) " oy
" (8f) "
oy
=2x
[.: x constant]
[.: x is constant]
13 x 0 + 2 xl;' 0 x e1x02
= 0 + 0 = o.
(1,0)
auoz and (au) Oz
p
x +y 2 +z 2 )--
2
Example. 4. Find
1
where u(x,y,z)=
2
(
and P=(1,O,-I).
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2-10
ENGINEERING .
- IlIA
I
0 (2 2 Solution. -. =- x + Y +z OZ OZ 1 ?? =--(x2+y-+z-) 2. .
MATHEMATICS
OU
1.)--
2
_3.. 0 ?? 2_._(x2+y+z_)
oz
[Here x and yare constant] 3
_~(x2
=
+ y2 + z2)""2 (0 + 0 + 2z) [.: x,y are constant] 3
.= -z (x2 +/
=(ou) . (ou) OZ OZ p
.
+z2) -"2. =1(12+02+12)-%=2-%.
(1,0,-\)
.
Example. 5. If
2
ft x, y) = x - xy , (x, y)
#-
(0, 0)
x+y
=0
= (0, 0)
, (x, y)
Find fx(O, 0) and 1;,(0,0). . . By de fiiruuon .. So Iution, .
f x (0, 0) = I'Im-~/.:.-(h_+_O~,O...:..)_~..::..../...:..(O~, 0...:..) h
h~O
=
lim I(h, h-+O
0) - 1(0,0) h
h2 -h x h+O = lim ._!.!..2.~ h-+O h h-O = lim --=1. h-+O h Similarly !y(0, 0) can be evaluated. Example. 6. Given {(x,y)
.
0
__
(2,3)
= 2xy,
(x,y)
:;5,
(x,y) = (2,3)
#-
°_
Prove that this function is not continuous at (2,3) and
exist. Solution. :. f(x~y)
.
1im
(x,y)->(2,3)
f(x,y)=
lim
(x,y)->(2,3)
2xy=2x2x3=12~f(2,3)
is not continuous at (2, 3).
of, of do not
ax ay
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DIFFERENTIATION
(
of) ax
OF FUNCTION
OF SEVERAL
t(2 + h, 3) - f(2, 3) h--+O h
(2,3)
2·(2+h)·3-5 h
h--+o
.
6h+7
= lim h ...• O
does not exist finitely,
h--+O
Of) (
Similarly
.
av
,
does not exist also.
(2.3)
J
.... Example.
6(h+2)-5 h ..
= lim -h-
x3+/
.' f(x,y)
7. For the function
=
Prove that f(x,y)
x
·' Iurn
f(
(X,y)--+(o.o)
)
3
I'
= im
x--+o
3 3
2
lirn
f(x,y)
3
{I +(l-mx
x--+o
=~
m
ax
at (0,0)
= limo f(O+h,O)-f(O,O) 00
,
h
h--+u
h3 +03 . . ---0 = lim f(h,O)-f(O,O) = lim h-O h--+o h . . h--+O h 2
= lim h h--+O
of) 8y
=
(
(0,0)'
u
lm
k--+O
h
= lim h = h--+O
°
.f_(.:..-O-=-,O_+_k~) --.!f...:.,(O--:.., O~) k
r:
then 2)3}
mx3
which depends on m.
does not exist
is.not continuous
Now, (Of)
.
x
(for different value of m)
(X,y)--+(O,O)
:. f(x,y)
an d
.
exist at (0, 0).
=lim-~-.....,--~
tends to different value as (x,y) ~.(O,o)
- mx3
.
)3
m
x--+o
..
ax oy
x +(x-mx ) 3 "X - (x - mx)
= lim1+(1-mx So f(x,y)
y
(0,0) along the curve y = x - mx3
4
.
X,y
=
x", Y
at (0,0) but of, of
'is not continuous
Solution. If (x, y)
,
x-y
=0,
=' x
2-11
= lim
= lim
y
VARIABLES
.
along different
curve
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2-12
u =
IIn
k-)O
of
f(O,k)-f(O,O) k
.af
03+e ---0
,.
---,O,,---.:..k,,--'_ = 1111= filii k-)O k k-)O
k )=0 .
( -
.
:. -
ax and -.oy
exist at (0 0)
,
,.2
Example.
8. If
e = 'I
n
e
find what value of n will make
41,
(TV.B.U. T 2012] r2
Solution. Here 8 = t 11 e
(I)
.41
or 08) or or
~(r2
.{ 1.
2
3
3r 8 + r
=
2t .
.
. = -21.
8)
3 r
= ~(_
(8)} -21 r
+ r3
-~(3r20 2t
=-
08) or
(
1 2 r8 4 ) 2t 3r 8 - 2:t
.
r12:r(r2~~)=-~(%-~:J .0s . Again -
= ntn-1e
--r2
+tne
41
--r r2 ( 41
2)
S
=.-
4t2
ot 1 a ( 2 as) as ? Or r ar =a;
-'
gives
( n +_r2 )
t
4t
- ~(~-C) = ~ (n C) t
2
41
+
t
4t
3
n=-"2'
i.-e. Example.9.Ifz(x+y)=x · . G iven z (x + y)
=
2
2
+y 2
2
x +Y .
(OZ
Oz)2
ox oy
,.showthat ---
(
OZ OZ)
ox
=4 1----.
0)'
( 1)
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2-13
Differentiating partially w.r.t. x we get oz -(x+y)+z(l+O)=2x "ox " d z 2y-z Similarly we get - = --. " dy x+ y
_ 2y_z)i x+y
So, (OZ _ Oz)2 =(ix-z ox dy x+y "Also
4(1-
oz 2x-z or, -=--. ox x+y
=4(X_y)2 x+y
"oz _ oz),;,_" _4_{x+ y-2(x+ ox oy x+y
=_4_{x x+y
+ y-2(x
+ y)+2. X2 + x+y
l}
Hence proved.
"
Example. 10. If x
="rcose
ax a
,y
/F
ax
1
ar
8r
x
ax
Again ae ~ ae
(rcose)
From the given relation,
ax
!(X2
=rcosS=cosS r
-:1=-.
" ax" a"
1 .', ae
"I
=-
r
sinS .
"" = -rsine
.
tanS = E :. e = tan-IE x x
Hence
ax
1" ae
-:1=-.
ae
ax
1 :1= ae
ax
l
:.: =~(XZ + /f"i ~x2 + /
and as
ax
I
=~(xZ+/r2.2x= 2 " Hence
"
ax
1
prove -;::--:1=-a & r
.
I
"
= 4 (x _ y)2 x+y
ax
= rsine
Solution. Here -=-(rcose)=coss "" 8r 8r From the given ~elation we have rZ = XZ+ or, "r =(x2+
y)+2z}
+/)"
.
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E CI EERINC MATHE:vtATICS-llIA
2-14
2.1.9.
Ilighcr Order Partial Derivatives.
For simplicity we consider a function lex, y) of two variables. 0J"U\\ ix(x, y) and !y(x,y) are also function of x and y (Because the value of the partial derivatives vary from point to point). So they may also possess partial derivatives. The partial derivatives of and /.v(x, y) are called second order partial derivative of lex, y). Thus there are four kinds of second order partial derivatives of lex, y) which are:
f.(x, y)
The definition of the above second order partial derivatives would be r ( Jx x
a,
b)=l'
.
1;,),(a, b) = .
im
fx(a+h,b)-fx(a,b)
,,~O
h
. !yea, b + k) - fv(a, b) lim .
k
k~O
'. '. !y(a + h, b) - !yea, b) fx y (a, b) = lun --'------"--,,~O h r (
Jyx a,
.
'b)= I'
. 1m
k~O
fx(a,b+k)-
fx(a, b) k
.
ote. (1) If any of the above limits does not exist, we say the corresponding partial derivative does not exist. . (2) fxy(a •.b) may not be equal to t;'x(a,b) for every function f(x,y) .
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2.~.1 O. Illustrative
Examples.
,
;iu
if1u
??
Example, 1. If u = log (x" + Y-) find --, ,--, ,-d x: d y' d Solution. Here u is a function of x and y.
2 + y 2})
OU {} { =log (x
(}x
ox.
1 =?
x- + Y
-du = - 0 oy
·oy
=
2
(2x)
1 . (2y) x2 +.y2
02U =~(ou)=~( ,ox oy OX d y
=
=
1 2
x +y
2
0 (}x
-(x-
,
(iu. x
,
+ y-)
2x 2 x~ + Y
=,
{ 2 2} log (x + y
=
2
1
.
2
x +yoy
0
-(x-
,
+Y2)
2y .xl + y2
ox
2-15
2y )=2Y~(X2+y2)-1 x2 + y2 ox
·';"·2y(":"1)(x2+y2)-2.2x=
4xy (x2 + y2)2
(}Y
(}lU
and -,.,-,.,-. cya
x
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ENGINEERING MATHEMATICS -iliA
2-16
Example. 2. Given the function I(x,y)=
.
XY(X2 _ y2) ~ 2,(X,y):;t(0,0) X- + Y = 0, (x, y) = (0,
Ix y (0, 0) and /y x (0, 0).
find, from definition,
Ix/o,
0)
0) =/yx(O,
Verify whether
0).
[WB.
o.t:
2003,2015,2016]
Solution. Now; according to definition, . ly(O+h,O)-I),(O,O) 11m
Ixy(O,O)=
=
h
11--.0
. ly(h,O}-ly(O,O) 11m . h
h--.O
. ..
Now,
1 (h, 0) ~ lim I(h, 0+ k) - I(h, 0). y k--.O k hk (h
=
lim
2
k
-
2
lim
f ih, k)
k--.O.
°
(h
2 -
02
- 1(17, 0) k
)
h2 + k2 h2 + 02 --:-=--.:.....:..:..---""""'-'-------=---"----
k
k40
h(h2_k2)
.
=
h x
)
=
(1)
11m ---'--=-----=--'k--.O h2+k2
h xh2 =--=h h2
/y
(0,0)
= 0.
h-O So, from (1) f~yCO, 0) = lim -. . h--.O h Again Jy1r .
J.
v
.,
(0 0) _ 1·1m .;c..:clx,-CO_, _0+_k....;..)_:-..:...:lx:....;.(O_, -,-0) --k--.O k ,
-
=
lim
Ix (0, k) - Ix (0, 0) . k
k--.O
ow,
= 1.
Ix (O~Ii)
== lim
1 (0 + h, k) - 1 (0, k) h
h-+O
=
lim ICh,k)11--.0
ICO,k) .
h
(2)
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2-17
hk(h2.-k2)
0.k(02_k2) 2 = lim _h:..:..2---'-+....:ck::.... __ ---'0::....2_+.:......:..::k_2_ h~O h
=.
linTI -~--:-'hk(h 2 - k2 ) h~O h (h2 + k2)
.
:.
I, (0,0)
2
=
Jim k(h -k h-.+O h2+k2
=
0. .
fyx (0, 0) =
So, from (2),
.
hm
2
) =-k. '. -k-(-O)
k~O
.Therefore,
1:0,(0,0)"#
= -1.
k
fyx(O, 0).
Note. From the above illustration
we see that f'xy
(x,y) may not be
t;x
equal to. (x,y) for every function f( x,y) . There are some theorem's which state the conditions under which the above equality hold. Among those theorems, Schwarz's theorem is well known. Example. 3. Show that z=log{(x-a)2 02 Z 02 Z --2 + --2 = except at (a, b). ox oy
+(y_b)2}
°
•.
Solution. z oz
~
ox
=
log (x2 + y2 - 2ax - 2by + a2 + b2). . 2x - 2a
= -".--;(2V oV _ 2X) + ot/>(2V OV _ oa . ox ob ox
be thr ee functi unctions ot .
side)
0) + ot/>(2V OV _ 0) = 0 OC ox
v°t/>.ov _x0t/> +v°t/>.ov +v°t/>.ov =0 oa ox oa ob ox OC ox ov(ot/> ot/> ot/»· ot/> v oxoa + ob + oC =X oa ~ ov (at/> + at/>+ at/» = o.if> x ox oa db OC d a at/> v dv da = -::-,----~--:-:X ox ot/>+ ot/>+ ot/>. d a db OC
Similarly
we can show
04>
&
vov and ~
oz
=
04>
04>
-+-+--
04>
oa ob oc
Adding these we get
~ OV +~ ov +~ OV =1 d x yay Z oz
.x or,
ov yoy
1 dv : 1
OV ZOZ 1
~-+--+--=-. x dx
1 v
of
2005.2014]
t/>(a, b, c) = o.
at/>= 0 (Differentiating w.r.t. x both ox .. ot/>.oa +ot/>.ob +ot/>.oc = 0 oa ox ob ox oc ox
2-27
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2-28
ENGINEERING
MATHEYlATICS
Example. 5. If x=u+v+w,y=vw+wu+uv,z=lIVW and function of x, y, z show that
of of of of of of u-+v-+w-=x-+2y-+3z-~-. ou OV ow ox oy az Solution. After transformation F becomes a function of . "oF oFox oFoy By chain rule -" -=--+--+-du ox du d y ou or,
of
-
ou or,
of"
of
= -.1 +-.
ox
of
(w
4-
v) + -(
oy
.".
of ov
of ox
if F is a
v and w also.
oFoz oz ou vw)
oz
of of" of" "-=-+(w+v)-+vwou ox dy
Similarly,
1I,
- IlIA
(
of oz
)oF oy
of oz
-"-=-+ w+u -+ wu-
of of of of -=-+(u+v)-+uvow ox oy oz of of of L.H.S. =u-+v-+w, du dv ow " of of of =u-+u(w+v)-+uvw-+v-+ " ox oy oz
and
of ox
of
v(w+u)cy
of of of of +vwu- + w- + w(u+ v)- + wuvoz ox .d y oz of =(u + v+w)-+2 "ox " of of =x-+2y-+3z-. ox " dy Example.
of of (uv+wu+vw)-+3uvw-" dy oz of OZ
6. Prove that; by the transformation
. I . partia. Id'ffi" 1 erentia equation
2
0 Z --2
or,
2
ff Z re duces to --0 = C2 --2
01 OZ 8z ou oz ov -=-.-+-.-=-c-+cot OU 01 ov 01 2
ct, v = x + ct
u =x -
ox oz "ou
Z
du dv
oz ov
z)
0 Z 0 (0 Z 0 Z ) { 0 (0 0 (0 Z )} 012= c 01 OV- 01.1= C 01 ov - 01 ou
= 0.
the
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. DIFFERENTIATION
OF FUNCTION
If
02
OU { tlUOV·-;3I+
=C
Z
VARIABLES
2-29
OV 02 Z OU C2 Z OV} .-;31- C1I2 ·Of - OUOV·Ot
Z
oi
. {iiz
OF SEVERAL
Ifz
ciz}
Ifz
--(-C)+-) (C)--, (-C)---C OU OV OVOUOU OV
=c
.
{
2
=C
,
-2~+~+ OU OV
2
0 S·lilli-Iar Iy .--,
2}
OV-
0 ~ . OU-
2
Z
ox-
_.
..,2
2
2
0 Z + 2 -_.0 Z- + --. 0 Z 2 2 Ou OU OV ,? 0- Z
== --
ov
0- Z
Putting these in the given relation __ , - = ("2 ;::)2
. -or
-
v z
.
.
--,
OX-
we get --=0.
OU OV
.
Example.
7.
If
Solution.
In fact
X)/2
z=e
,x=fcost~y=tsint,
dz . az dx
= eX/
:
dz dt at
1=2
7r
z becomes function of t only. az dy
:. By chain rule dt = & . dt + . or,
obtain
0' . dt
./(COsf-tsint)+exi n
rt
.x2y.(sinc+lcost)
7r
Now when t =-,X
=-
:.(\...dZ) . = /Hr dt I=l:. _
.(~)2(cos~_~sin~)+eo{~r
2
2
0 and y=-
cos-=
2
2
2
2
2
rt 2 .0.2.~
2
2
. 7r 7r or,
..,
(~~
}=l:. = (~
.
2
Example. 8. .)
Ox
222
=-
u(x,Y)=f(x2
r -zx -au + (?X- -
? (
If
J(-~)
rr; .
+2yz,y2 +2zx) prove that
yz ) -au + (2z - xy ) -all
0'
7r
(SIll-+-COS-
oz
=0
)
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ENGINEERING
2-30
Solution.
Let
v=x2+2yz
.
.
..
and
w=/+2zx
au auOv au ow -=-:-+-·-=2x-+2z'Ox Ov Ox Ow ox
by chain rule
.
MATHEYIATICS
:.u=f(v,w) au av
-iliA
. au Ow
au = au . ov + ~. Ow = 2z au + 2 y ~ oy .irv oy away ov Ow
= 2 x 0 x au + 2·x 0 x au = 0 .
ov
Ow
Example. 9. It u =
show that
.:
J( ax2 +2hxy+by2),V = ~(ax2+ 2hxy+ b/)
(u :)
=
!(u ~)
[C.H.1934]
:.~(uOV)=u02V +Ou.ov . Oy ax . OyOx ay ax and
~(uav)=u ax Oy.
02V + au. ov oxoy Ox Oy
(2)
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DIFFERENTIATlO
OF FUNCTIO
OF SEVERAL
Solution. . Let G = ax2 + 2hxy + by' and H
:.u=/(G)
VARIABLES
2-31
= ax2 + 2hxy +by2
and v=(H)
.:.Ov = d.'oH = '(H){2ax+2hy) = 2'(H)(ax+ hy)
ax dH
and
&
8v ~2'(H)(by+lq)
By.
au ~ 1'( G) 8G = (2ax + 2hy )I'( G) = 2(ax + hy )I'{ G) Ox &
au =1'(G)8G =2(by+hx)f'(G) By By au·Ov
:.By .ax = 2 (by +hx)J'(G)·2{ax
+hy){H)
,,;4(ax + hy){by + hx)/'( G)'(H) and
au oV
&.8; = 2(ax+hy)f'(G).2(by+hx)'(H) . = 4(ax
+ hy)(by +hx)l'( G) ' (H)
Putting these in (1) and (2) "" get;
(u :)
=
!(u ~)
2.1.15 .. Differ.entiation of Implicit Function. Implicit Functions. An equation such as F (x, y, z) = 0 defines one variable, say z, in terms of a function of other two variables x and y. In that case z is called implicit function of x and y. This can be displayed as z F (x, y, I(x,
= ft x, y).
This will give
y») = o.
Illustration. (i)
X2
+ / - t2 = O·is an equation. 1
t
= (x 2 + /)2".
From this we can express .
Here t becomes an implicit function of .r, y.
(ii) x + y2 = 5 is an equation .. From this we get x = 5 - y2. Here x bec?mes implicit funtion of y.
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2-32'
ENGI EERING i\IATHE:\lATlCS-ll:A
Theorem
1.. (Two variables, One equation)
If i(x,
y) =.0 gives y as an implicit function of x in a region on x-y
oP . d
plane then
-
"F
.z = _ 0 x dx
provided ~
.
.
dF so -=.0. dx
Proof;'J'. Since F(x,y)=O,
ButdF dx
=oF+oF dy .0 x 0 y . dx ' of
dy -..
dx
= -
~ O.
oy .
O~ dy
i.e. of +oF.dy=o. 0x
0 Y dx
ox er oy
Theorem 2. (Three var iables, One equation) If F (x, y, z) gives z as ari implicit function ofx and y in a region on X-)' plane then Fy (a) -=--, (b) -=--, where Fz~O.
oz
r,
ax
oz
.Fz
oy
F;
Proof Beyond the scope of the book. Illustrative Examples . . Example. 1. Find dy if(cosxV
= (sin j-)".
d"
Solution.
Let F(x,y)
F;
.
= (cos x)"
= y (cOSX)y-1(-
. ~ = (cosx)"
-(siny)x.
sinx) - (sinv)" log siny
logcosx-x(siny)""-I
.By Theorem (1) above,
cosy.
dy °f/ax dx = - of / . /oy
=
.=
-y (cosxy-I
sinx - (siny)"'" log siny
. (cosx)" log cosx - ~ (sin v):"" cosy Y· (cos x}V-1 sin x
.
+ (cos x)Y log sin y
. (cosx)" (cosx)" log cosx - x . .cosy .
Y tan x + log siny
= ~----="--~ log cosx - x coty
SillY
, from
.
.
the given relation
~
0
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES 2
E~ample.
2. Find dy and d
.;
dx
dxSolution. Here F (x, y) = x3 +
2-33
= 0.
if x3 + yJ - 3xy
i -3.xy.
From the given relation y can be expressed
as function of x.
of . B)I
or,
.
Theorem
dy ox = -, dx of
1 -
oy
o _(x3
dy 'dx
+ y3 -3.xy)
ox
3x2
-
3/
-3x
{i (y + x2 - 2xi)(i
y-x 2 y2 -x'
3y
_x)2
x2)(/_
-x) -(y-
2
2yx
+ x)
(/_ x)3 -2xy
(Y 2 -x )3 . .
.
'.
Example .. 3. From the equation
...
From the equation
ox oy
2x2 - yz + xz2 - 4
Solution. Here F(x,y,z)=2x2 022 -(2x FjI
Now-.=--·
dy
2
= 0,
F,
=
oy
022 -(2x
ox
-yz+xz2
-4.
-yz+xz
-4)
-yz+xz
-4)
.
ox
allti-.
oz
x can be evaluated
z.
function of y and
. oX"'
2
2x - yz + xz = 4 find -
-z 4X+Z2
as
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MATHE~ATICS -iliA
E GINEERING
2-34
and
13x F.. -=--'"' 13z F;;
13 -(2x ...!O...!=-13z 13 -(2x 13x
-=
2
2
- yz+xz
2
- yz+xz
2
..
-4)
=
-4)
y-2xz . 4X+Z2
-y+2xz 4X+z2
.
Example. 4. If a, 13, yare the angles of a triangle such that .
2
. 2
Sill a + Sill
. 2
13 + Sill Y
=
da constant, prove that df3
=
tan 13 - tan y tany-tana
By problem ·a + 13 + y = 1'- Given sin 2 a + sin 2 ,8 + sin 2 y
=k
.
(constant)
9f, sin 2 a + sin 2 ,8 + sin 2 { n - (a + ,8)} = k or, sin2· a + sin2 ,8 + sin2 (a
+ sin
or, 'sin2 a
2
,8 + sin2 (a +,8) - k
= sin2
Let F(a,,8)
+ ,8) = k = O.
a + sin2 ,8 + sin 2 (a +,8) - k.
By Theorem 1, 13F -!p{Sin2 a + sin2 ,8 +sin2(a +,8) ·da 13,8 d,8=-OF = {SID2 a + sin 2 + sin 2 (a + ,B) .13a 13a
p
..£..
=
2 sin 13 cos,8 + 2 sin (a + 13) cas (a + 13) 2 sina cas a + 2 sin (a + ,8) cos (a + ,8)
=
sin 213 + sin 2 (a +13) sin 2a + sin 2 (a + 13) 2 cas
=
'2
= = =
k} k}
sin 2~ - sin 2y = ----=---~ sin 2a - sin 2y
2~+2y. 2~-2y . sm' .
~2
~2~_
2a+2y. 2a-2y cas sin 2 ~ cas (13 + y) sin (,8 - y) cos (a + y) sin (a - r) cos (Jr - a)( sin 13 cas y - cas 13 sin r ) (Jr - ,8) (sin a cosy - cosa sin r)
COS
-cosa (sinfJ cosy - cosfJ sinr) - cos ,8 (sin a cos y - cos a sin y)
tanfJ- tany tan r - tan a .
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DIFFERENTIATION
OF FUNCTION
Example.s.·IfF(x,y,z)=O,
OF SEVERAL
prove that (ox) 8y
.
OX
Applying Theorem 2 we get oy
2.1.16.
F = _--..L
F:
z
VARIABLES
2-35
X(?7) x(~=)
=-1.
r [WB. U.T.200],200Jj 0_
x
ox
when z constant.
Total Differentiation.
Increment.
Let z
and y. Let ~
= f(x,
= dx
x and y. Then
y) be a function of two independent variables x
6y = dy
and Llz
=
increment of the function z
be the increments given to the variables
+ Llx, y + Lly) - f(x,
f(x
= f(x,
y)
= 4f
is called
y)
Differentiability and Total Differential. Let z
=
f(x,y)
be a function of two independent variables x and y.
The function f(x, (x,y) if fx and expressed as
y)
is said. to be' differentiable or total differentiable at
fy exists at
(x.y) and if its increment Llz (or
4/)
.
Llz= of Llx+
aj 6Y+E1Llx+E26y
ox oy oz oz =-. dx+-dY+E1dx+E2dy ox 8y
where E[,E2 are variable depending on Sx, 6y and
"[ ~ 0, "2 ~
°
as L1xand Lly~ 0.
oz
oz
The .expression dz = - dx + - dy ox oy
.
of
or df=-dx+-dy ox
8f dy
is called the total differential orsimply differential ofz or f(x,y). E.M ..3A-9·
c~n be
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E GINEERING
2-36
MATHEYIATICS.-IIIA
If 4z cannot be expressed in above way we say z = f(x, y) is not differentiable .: Obviously f(x,y)
is total differentiable at
E, AX+ E2 AY ~(AX)2
..
-; 0 as AX and Ay -; 0 .
.t(Ay)2
IAZ -dzi
I.e. If
-; 0 as
~(d;)2 + (dy)2
oz oX,
·oz oX2
dz = --dx,
dx, dy -; 0
.
.
1. If z = I(x\> x2,
Theorem
(x,y) if and only if
.••
then
xn)
oz . ox"
+ --dx2
+ ... + --dx
, where the variables x" x2,
.••
XI/
n
may not be independent and dz is total differential of z. Proof. Beyond the scope of the book. Theorem 2. If Jt»,
X2' •••
xn)
= c,
a constant then df
= O.
Proof Beyond the scope of the book.
fx(x,y),fy(x,y) do not ensures at (x,y). See Examples regarding this
[ote. Existence of partial derivatives the total differentiability of
f(x,y)
in the next Article 'Illustrative Examples'. 4.1.17. Second Order Differential. Let z = f(x, y) be a function of two independent variables x and y. The second ·orderdifferential
of z = f(x, y)
is defined by d2 z where
d2z = d(dz): Theorem 3. If. z = ftx, y) is assumed to have continuous second order 2 . 2 ;:)J . 2 0 Z 2 0 Z a: Z J derivative then (i) d z = --2 (dx) + 2--dx dy + --) (cryt
ox
(ii)d2z
ox oy
= (~dx
ox
oy-
+ ~dy)2 z. dy
Proof. Beyond the scope of this book. Note. (1) The above theorem can be generalised
z
= ft x,
x2,
Here
? d-z=
.•• XII)
•
(0oX
--dx1
I
0ox .
+--dx2
2
0ox"
+·..+--dx"
J2 z.
for the function
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DIFFERENTIATION
then d2 x = 0 because
(2) Ifx is independent
= Ii ~ (d~)2 = ~(ox)(dx)2
d2x .
ox-
ox
2.1.18 .. Illustrative
Liz = f(x
=
x2y - 3y, find Liz. Hence find whether
= 2.xy.1x =
as
.1x = -0.01,
dz
tu~O
t.y~O.
and
= 2xy.1x ~ (x2 = 2xy dx + (x2
.1y
-' 3) L1y - 3) dy.
2
= Txydx +(x
3. Using
approximate
dz when x = 4, y = 3,
= 0.02.
From the previous
Example.
L1"
txx ~ 0, t.y ~ 0
2. If z = f(x, y) = x2 Y - 3y. determine
Example.
Lly
- 3) L1y + L).1x + c2L1y.
Sx.y + 2xt.y ~ 0 as
The total differential,
Solution.
2x.1x.1y + (.1x)2
the function f(x, y) is differentiable.
Therefore
d::
y +
+ (x2 - 3) ~y + {L1x.y + 2x. L1y}L1.~+ (L1.\:) 2 L1y
c2=(~x)2~0
Solution.
3 (y + .1y)} - (x2)' - 3y)
- 3).1y + (L1x/
= 2..xy.1x + (x2
and
z is
+ L1x, y + .1y) - f(x, y)
= 2xyL1x + (x2
C)
= O.
ox
If so find dz.
= {(X + L1x)2 (y + .1y) -
We see
= ~(1)(dX)2
ox
Examples.
1. If z = f(x,y)
Example.
differentiable. Solution.
2-37
OF FU
-3) dy
problem,
= 2 (4)
the concept
we have (42
(3) (-0.01)+ of total
-
3) (0.02)=
differential
0.02.
compute
the
value of (5.12)2 x 6.85 - 3 x 6.85. Con~ider
the function
jt», y) ~
x2
Y - 3y. We choose
x =
5,
= 0.12; y = 7 and L1y= - 0.15. Since .1x, .1y are small we think dz == Liz. Now ow;
f(x dz
L1,~,y + .1y) - f(x, y) = Liz == dz. 2x; dx + (x2 - 3) dy [see Ex. 1 above]
+
=
= 2 (5)(7)(0.12)
+ (52 - 3)(-0.15)
= 5.1.
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2-38
ENGINEERING MATHD-IATlCS-IIIA f(5 + 0.12,7 - 0.15) - f(5, 7);:;:5.1
So, from above
or, . f(5.12) 6.85);:;: f(5, 7) + 5.1 (5.12)2. x (6.85) - 3 x 6.85;:;: (52 x 7 - 3 x 7) + 5.1
or,
Example, 4. Prove that the
.
(Of)· ox
=
/im
f(O+h,O)-f(o,o).=
(Of)· oy
at, af
ax oy df
=
h--+O
h
=0
(Of) ~ x + (aayf) ~y = ° . ox (0,0)
(mind that for independent variable x, y
,dx
= ~ x,
dy = ~ y )
N=f(o+~~,o+~Y)-f(o,o) = f(~,~Y)-
f(o,o)
=)I~~yl-JQ;O
IN- dfl Now,
0
exist at (0,0) with equal value.
(0.0)
. Now,
.
tun -
=0
.
.
h
(0.0)
~hese show
:. a~(0,0)
=
h
h-+O
f(h,O)-f(O,O)
h--+O
. #-01-..)(0.0)
.
/im
h.
h--+O
(0.0)
= IIm
Similarly
is not total differentiable at
of and of exist at (0,0) and they are equal. ox Oy
(0,0) though Solution.
f(x,y)=~lxYI
= 159.1.
~I~II~YI
+~y2
~~2
=f~I~~YI
+~y2
~~2
~rcose·rsine vr.2 cos2 + r2 sin2 I
. =
.• because as
~sinecose
e
e '.
putting
Sx
= r cos e, ~y = r sill e
which does not tend to
(~,~y)~(O,O),
r~O,emay
°
as
(~,~y) ~ (0,0)
be kept constant.
:. f(x·,y) is not total differentiable at (0,0).
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DIFFERENTIATION 'OF FUNCTION OF SEVERAL VARIABLES
. Example.S,
For the function f(x.y)
2-31)
= 2xy prove that f is differentiable
(i.e .• total differentiable) at a point (a•.b). . . af af . Solution. Obviously ax. and By exist at (a, b). af -=2y. ax f ·:.at(a,b)dz=(a )
af -=2x· ay
f dX+(a ) ax (a.b) iJy ;= Zbdx « 2ady = 2(bdx+ady)
dy (a.b)
= t:. x,
(mind that for single independent variable x, y, dx Now, at. (a,
dy
=
t:. Y )
b),. t:.z = f( a + Sx.b « t:.y) - f( a,b) = 2(a + t:.x )(
b + t:.1) - 2ab
= 2bt:.x + 2at:.y + 2t:.xt:.y = 2bdx + 2ady + 2dx dy :·.at (a, b), t:.z-dz=2dxdy.
. It:.z - dzl Now, . . . ~(dx)2 +(dy)2 :. f(x,y)
2dxdy
=
~O
.
as dx dy=s
~(dX)2 + (dy)2
is differentiable at (a, b) and df = 2(b dx + a dy) .
the total differential
. (xy Example. 6. Show that the function f x,y) .
=~
•
X2 + y2 .
= 0, is not differentlabl~ at-E6, 0) though fx Sol
io~. fx(~;O)=
(0. 0)
(x,y) ~ (0,0)
(x.y)
=
.
lim f(h.O)- f(O,Q) -Jim 0-0 1i40
h
11-+0
=
0
h
Similarly, fy(O.O)=O
At (0,0)
(0. 0)
and fy
(0. 0)
exist.
the total differential df
= Ix
=0
= (0.0)
and fy(O,O) exist.
lim f(O+h,~-f(O.O) h-+O
Thus fx
t)
(0, 0) t:.x+ fy (O.O)"t:.y
.
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2-40
= f(
and increment '6f _ ,
Llx . !!.y
_
0_
- ~Llx2 +Lll
Idf - LVI So, ~ !!.x2 + 6i
0.0) = f(Llx.Lly) - f( 0.0)
0+ Llx.O + Lly) - f(
Llx . Lly
- ~6x2 +Lll
ILlx 6yl (Llx)2
+
(6y)2
.jrcos9rsiliSI. 2
2
r cos S + r = IcosSsin91
.
2,2 SI/1
puttmg 6x=rcos9,6y=rsm9
S
which does not tend to 0 as (Llx.Lly)~(O.O)
when (Llx.6y)~(0.0).
r~Oand9
beC311S\!
'may be kept constant.
.', f(x. y) is not total differentiable (i.e., differentiable) at (0, 0) , Example.7. Show that the function f(x.y)=
is not differentiable at (0,0) though fx(O.O)
-i 2'
x3
(x,y);e(O,O)
2
x +y =0
. (x,y)=(O.O)
and fy(O.O) exist.
h) olution. fx
,,
f(O+h litn "
,
h-tO
(0,0) =
0)-
f(O
h
0)
'=
12-0 lilll-'/,-It
h-+u
= liml = 1 1I-t0
_k3 and
f (00) = /im f(O,O+k),Y'
:.fx(O.O)
k-+o
f(O,O) k
= lim k-tO
=-1
and fy(O.O) exist.
At (0,0), df;::;fx(0.0)6X+fy(0.0)6y At (0, 0),
ek
=6X-6y
N = f(0+6X.0+Lly)-~L1X.LlY)-0 _(Lly)3 (Llx)2 + (!!.y)2
, '(6X)3 :.at(0,0),6f-df=
_(6y)3 ,
f
.~ ,-~6X-6Y)
(~xt +(c.y)"
(6X)3 _(6y)3
-(6X-LlY)(Llx)2 (6X)2 +(6y)2
+(Lly)2)
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DIFFERENTIATION
OF FUNCTION
OF SEVERAL
-t..X(t..y)2 +t..y (t..X)2
(t..x/ +(t..y)2
It..x t..yll( t..x - t..y)1
IN-dfl
3f?
.. ~(t..X)2 + (tW)2
(t..X)2 + (t..y)2 ) -
(
Ir cos 9 r sin911r cas 9 .
(r2 cos2 9 + r2 sin2)
r sill 91 3/2
putting t..x = r cos 9 .. r3lsin9cos91lcos9-sin91 =
r3
Isin9cos911cos9 -sin91
which does not tend to
0 as (t..x,t..y) ~(O,O) because as
(t..x.,t..y) ~ (0,0), r ~ 0 but 9 may be kept constant :. f(x,y)
is not total differentiable at (0,0).
Example. 8. If z
- 3y, determine d2z
= x2 Y
,d-z= , -.a dx+-dya . .
( ox
)2 z
ay
.
az 2 aZz =-, (dx) .+2--dxdY+-2 2
. a2z
(dy)-.
ox
2
.az
a·
ai
=
;i z axay So,
ay·
= -(2xy) = 2y
Here -, ax-
~
a2z,
ax Oy e :
ax-
and
2-41
t..X·t..y(t..X:-t..y)
(t..X)2 + (t..y)2 .
VARIABLES
By (x =
2
-3)= 0
{} ( a.z) axlay
d2z=2y(dx)2 = 2y (dx)2
=
a
2
.
ax (x -3)=2x.
+4xdxdy+O.(dy)2
+ 4x dx dy.
,::.,.y
=
r s i1/ 0
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. ENGI EERING l\1ATHE:\1ATICS- IlIA
2-42, ,
2
Example.
9. If the Kinetic Energy K
= WV , find approximately
the 2g change in the K, E. as W changes from 49 to 49.5 and V changes from 1600 to 1590. Solution" Here K is function of the independent variables Wand V. 2
= oK
dV + oK dW= 2WV dV + V dW oV oW 2g 2g
Now
dK
or, .
. WV V dK=-dV+-dW=. g . 2g
V( WdV+-dW. V)
2
g
Now at W = 49, V = 1600, dW dV
2
= 49.5 - 49 = 0.5 and
= 1590 -1600 = -10. So, from above we get 1600 (49 x -10 + 1600 x 0.5) = -4500. 32 2 Therefore approximate decrease of K is 4500. dK
=
Example. 10 .. The height h and semi-vertical angle a of a cone are measured and from them A, the total area of the surface of the cone including the base is calculated. If h and a are in error by small quantities db and da respectively, find the corresponding error in the area. Show further th~t if a
.
.
=
;r, an error of 1% in h will be approximately
6
...
compensated by an error of - 0.33 degrees in a. Solution. If I be the lateral height of the cone then A =;rrl +;rr2. (1) . . hr. Now, cosa = -. :. 1= hseca and tana = -I.e., r I h •. From (1) A =;r htana hseca +;r h2 tan2 a or,·
..
A=fth
2
= ;rh2
secatana+;rh sina
.
. 1- sina
Here A depends on h and a.
2
2
tan a
2
e
= h tana.
nh tana(seca+tana)
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DIFFERENTIA TION OF FlJNCTION OF SEVERAL VARIABLES
dA
=
aA dci+ aA dh= 1th2 cosa (1- sina)-(-cosa) aa' all (1- sina)2
da + 2Jih sin,a ,.I-sma,
dh
= Jih2 COS(1- sin a~ + si~ a
2-43
sina x
cosa da
(I-slOat'
+27rh sina I-sina
dh=mi
cO,sa ?da+2Jih (l-sma),
sin,a I-sma
dh
trh (h' cosa d a + 2',sm a dh) w h:ICh iISt'th e correspon dimg , I- SIn a I- sm a error in area, Now if, due to an error} % in hand - 0.33 degree in a error in area, dA = ,0 then we understand the error of h is compensated by error of a, or, dA =,
.
,
Puttin g
a
h· ,dh=-we
get
=
,
1(.
. 6'.
da
=
-0.33
degree
= ~0.33 x ~radian . 180"
= -,0027r,
'100
Jd ' [hCOS 7r(-,0027r)
tiA.»
,6
1
I-sin
7r
I-sin
'6
7r 6
' ,
,
=,2,7rh(-..fjhx,0027r+ =
h ] '+2sin7r_ 6100
1~0)=2Jih2(-,Ol+,OI)
(apnroximately)
0, Hence proved,
, Example .. 11. If ~ be the area of a triangle ABC, prove that d~ = R(cosAda+cosBdb+cosCdc) where R is the circum radius of the triangle. Solution. We know, ~
'
= ~s(s-a)(s-'b)(s~c)
or; t'i = s(s~a)(s-b)(s-c)
(%+%-~)
=~(a+b+c>(,-~+%+~)(~-%+~)
. 1 =
"
,
T6(a+b+c)(-a+b+c)(a-b+.c)(a+b-c)
,}
??
= -(2b-:c-
16
.
??
'
??
+2c-a-' +2a-b- -a '. "
444
-b
-c)
f(a
="
b c)
.
(say)
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E Gl EERING MATHE:\1ATICS -iliA
2-44
Taking differential we get 2~ d6.
or
=
8f da+ 8f db+ 8f de 8a 8b 8e
2~ d ~ =J..(4c2a+4ab2 '.
)d
16
+J..(4b2e+4ea2 16
or, 2~·d~=
I~{4a(b2 +e2-J)ch+4l{e2 == -
I
b.
(4be2 +4a2b-4b3
-4a3)da+J..
16
-4c3)dc
.
+J -b2)th+4c{i
)tt}
2
+b2 -e
{4a .2becos A da + 4blea cos B db + 4e.2ab cos C de}
16
.
I = -abe(cosAda . 2.
+ cosBdb + cosCdc) .
I
== -.4~R(cosAda
+cosBdb+cosCde)
.2 .. d6.=R(cosAda+cosBdb+cosCde). sm a
2
Example. 12. If A ~ tth . .' I-sIna variables.
find dA where h and a are independent
Solution. 8~d 8A dA =- a+- dh fu 8h = tih
.
=.
2
_1_2cosa(l-sina)+cosasinad (1-sina)2·
a+
=nn
cosu 2
(I-sina)
do. + Znh
xh (h coso l= sinu i-sina
sinu l=-sincc
2-' IlJ1
sino; l=-sinu
''/ ((,/
dh
d a+ 2·Slfl O,d'/1)
.
Example. 13. If P dx + Qdy + Rdz can be made a perfect differential of some function x, y, z on multiplication by a factor, prove that [C.fl.195-1]
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DIFFERENTIATION
OF FUNCTION
OF SEVERAL
VARIABLES
2-~5
Let j (x,y,z) be the factor such that
Solution.
f Pdx + f Qdy+ I Rdz = a perfect differential (1)
=dU·
o
.
0 So, oy (f R) = oz (f Q) oR Of or, I oy + R oy
=
oQ Of I oz T Q oz
~(f P) =~(f ozox
R)
or I oP + P Of , oz oz
=I
~(fQ) ox
P)
=~(f oy
or I oQ + Q Of , ox· ax
=I
(2)
oR + R 01 ox oX
(3)
oP + P Of oy oy
(4)
(5)
From (3),
oR
OP j-= OXOZ
f--
or IQ(OR _ oP)= , ax oz .~P _
From (4), j 0 ' y
fa
oj P--R-, OZ
ox
PQol _RQol oz oX
(6)
oQ _ of _pol -Qa 0 x x y
.. R( 8P _ aQ} = Q~ of ._P R of ay' ox ax ay
or, j
01
(7)
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2-46
ENGINEERING
MATHEMATICS
-IlIA
Adding (5). (6), (7) we get
I{P(OQ _ Og)+)OR _ OP)+R(OP _ OQ1}=0 , oz oy ~lox oz ,oy, ox) o~,
JOQ_OR)+JOR_OP)+R(OP J
loz
oy
_OQ)=o
~ ox oz
oy ox
EXERCISE
rI]
SHORT ANSWER
QUESTIONS
I. Evaluate the following limits
(a) "lim(2y
- 3x)
(b)
x-+4 'y-+-I
(')c
I'. un (x,y)-)
(1'.2)
. Iirn
(e)
(x.y)-)
lim
(.\y-3x+4)
tx,y) -) (2.1)
3-x+y + x - 2y
(d)
4
lim (x,y)-)
(0.0)
,
~x - )' x " +)'2
xsin(x2+y2) x2 + y2,
(0, 0)
2. Investigate the continuity of the following functions at the given points (a)
x
.
at (0, 0) 3x + 5y , (c) l(x,y)=(x2
=
!b) xy
+ 6x at (1, 2)
2 1 2,(x,y):;t:(0,0) x +y 0, (x, y) ::!(O,0) at (0, 0) +y2)sin
2xy 2 ;(x,y):;t: (0,0) x +y = 0, (x,y) = (0,0) is not continuous at (0,0)
3.(a) Show that I(x,y) ,
. [Hint: TIle limit (b) Verify that (c) Show that .
=
2
lim I(x,y)
{x,y) ..• (o.o)
li1~
(x,)') ..• (O,o)
J(x:y)
=x -
does not exist at all] ,
x + Y does not exist. x - Y
+ )'3 x-y
= Xl
.= 0, [Hint: Consider y
[W.B. U. T. 2006]
,x:;t: y x =Y
mix) and y
=x -
is not continuous at (0,0) . m2x3
]
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2-.J7
4. Find ~he following partial derivatives from first principle (a) af,.a.r at(o,~)whenf(x'Y)=YSinX ax ay. 2
(b) af, af whenf(x,y)=x3y2
(c) .
ax
ay.
.
f a, ax
af when f(x, y) ay
= eXY·
. ar aj. 5. Evaluate _. and when . ax ay 2
(i) ft x, y) = loge (y2 + X 2)
(ii)
ft»; y)
= tan -I
2
+Y
X
x+y (iii) x + y + I (X, y) 6. Let ft x, ;). =
2XY
2'
= loge
I (x, y).
(x, y) # (0, 0)
+y
.x
=.0, f?therwise.
Ix (0,0)
Evaluate •.
= x - y, find af and af at (2, - 1) from the definition.
7. If f(x, y) .
8. If x
x +.y
= rcos8,y
.
X4
9. If z
=
rCi\t~.(O, 0).
log
ax
sin8 find or anci°8 in terms of rand ox oy
=r
+ y4
. 8z find x-+ Ox
x+y
= Iog ( tanx + tany
1.O If u
.ay
8.
OZ
y-. 8y
ou = 2 .
. 2 y-;::) , prove t hat at si sm2x- 8u + sm ox oy
[WB. 11.'IfV=~2tan-l~,fllld(02V)
.
..
x
.
ox 8y
(1.1)
.02 I 02 f 12. Show that -= -hold for the function . ox oj; 8yox
f(x,y)
..
= x y+e·l)'2 3
.
.
o.t: 2005]
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2-48
ENGINEERING
.
.
x
13. If lex, y) =
2
-1.Y 2 - - y tan
tan
-1 X
-,
x
prove that
Y
Y2
14~Ifz=tan(ax+y)-(y-ax)
'IATHKVIATIC
2, provethat~=a
.:... X
!,y -
o2z
x=rcos8,y=rsin8prove
x- + y
2
2 .
-2-'
oy
~ .., ov ov x-+y-=r-
that
Y
-
1
o2z
2
ox
15.. If
2
-iliA
ax
~
cv
oy
where
cr
v=v(x,y). 16. If z'=/(x,y),x=eu Oz
Oz
c::
ou
ov
c'.\:
---=x-. 17. Let z = /(x,y) where andy
18. If u =
8y
x = u2v,y = uvl , After putting these value or x
(OZx-+ ax
.u-+v-=3 of of ou . ov
1
y-
--,
x
xy
z - x) --
/I
Y
V=V{x.y}
-
. terms ,y=u- ? fi111d -dv 111 du
and
x=ucosa-vsina
2l. If z = / (u, v) and u = x2 - / ex
2 Oll
ox
.
02
oy
then prove that x
where a is c~nstant then prove that
+ y)- + (x
'oz )
y-
xz
. X I9 . If V=SIn-,x=e
(x
OZ -y-
let /(x,y) be changed to Ftu,v), Show that
20.If.
_ev, show that
+e-V;y=e-ll
oz..= 0
- y)-
. oy
IS
+y
0
2
OU2+;: -:;au = o.
-
oz
0)'
f 1I.
and y=lIi>inC1.+vco:-u
(OV)2 + (oV)2 = (~V)~ ax
ay
+(
cJV1~
\ov)'
\.ou
- 2xy, v = y prove that the equation
equivalent
oz
to -;- = O. uV
verify the fact -.du -dx = 1 for the implicit .... 22. Ven relation dx du
(i) ·1 XU-1 - lie -r. - II 5 = 0 23. If ftx.y, z, w) =0, prove that
.
(ii)
~. ay .~. 0la-awax
e:w -
S111
(x
+ II)
-
1 = O.
~v = 1 [WB.UTech.2005]
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DIFFERENTIA
nON
OF FUNCTION
OF SEVERAL
VARIABLES
2--tlJ
24. Find dy in the following: cases: . dx ~
=0
(I) x sin (x - y) - (x + y)
•
.(ii) e" + eY
(iii) xY + yX = ab (iv)xy sinx + cosy
= 2xy
= 0 at (0,
;).
ANSWERS 1. (a)
(b) 0
-14
(c) 4
2. (a) discontinuous
(b) continuous
(b) 3x2y2,2x3y
4.(a)~,o 2
2x
5.(i)
(d) does not exist
2'
2
(x. + y ). x
ye,T)',xe'"
(c)
+y
2
x2 + 2xy _ y2
(ll) {(x2 + y2)2
+
y2 + 2xy _ x2
ex + y)2}
, {(x2 + y2)2
...) both f(x, y) (III , 1- f(x,y)
.
6.0,0.,
cosO 8. cos8,--
7. -2, -4
+ (x + y)2}
1I- 2 -3-ell
'11. 1 19.
9; 3
r
y + x2 cos (x - y) 24.(i) "----::----"x + x2 cos (x - y)
(II]
(c) continuous
2y
2
..
(e) 0
ell
cos:,
II
eX -2y
...
(ii) ---=-
(iii) :
2x _ex
LONG ANSWER
y-I
yx' xy
x-I
l/
x
+ Y logy +x'
v
log ,v
(iv) 0
QUESTIONS
1. From definition show that (al lim (x-2y)=-1 , x-+I'
.
(b)
lim
(x,y)-+(2.1)
(xy-3x+4)=0.
y~1
2. Find the following partial derivatives from first principle (a)
f~(1, -1)
and fy(O, 2) when f(x, y)
= £y6
+ sin x)' 2
(b) !x(xo,yo)andfy(xo,Yo)whenf(x,y)=2x 3. If f(x,y)=x
3
,
,
.
y+eX)'
2
2
2
'a f
Verify whether -ax ay
= --.a f
ayax
2 a f
a2 f
af
af
ax
ay' ax ,ay
find-'-'--2
-.\y+
a2 f
a2 f
ax ay
ay ax
'-2-'--'--'
y
2
.
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2-50
ENGINEERING
4. (i) If V
=..r;y, find the value =
(ii) If Vex, y, z)
,
,
I
''\jx
02V ax:
(t)
02V
=
and
then prove that
2
(~~t
whereP
x2 + y2 x + Y , prove that
8. Calculate,
[WB.U.T200J]
8z
8y
6. For the functions (a) I(x, y) , Ix)' = !'vx· U
oy
02V
5. If f='(x - y) sin (3x + 2y) find
7. If
.o«:
+-2 +-2 =0.
-2
Find
02V
of -2- + -2-'
1 ., +:y +z
2
02V
MATHE:\1ATICS-IIIA
=
L, !y,
= (-1,
2,0).
Ixx,fyy,lxy'
2x - Y (b) ft x, y) x+y
Iyx at
=x
(0, ~).
tan xy; verify that
(auox - OU)2 ( Oil all) 8y = 4 1- ax: - 8y
r: !.V' t;(0, 0), I (0, 0) for the function y
XY
f(~, y) == ~
2 x
2
+ y2 ~ 0
ifx2
+y
= 0 if ,x = y =
o.
021' 021 9. Show that -=~ hold for the function [i», y) = x-".
,
oxoy,
vYox
,
,
10. Show that for the function I(x, y)
,
=
22, ~ y 2'
x +y
= 0, Ixy(O, 0) = lyxC0, 0). ,
11. If I(x,y)=xy
= 0,
+ 5y2 2'x x +y
x2
x =O,y=
= (0, 0)' [WB. U. Tech.2008]
2
2
+y
2
(x,y)
(x, y);c (0, 0)
°
prove that I).),(0,0) i:- Iyx (0, 0).
;cO
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OF SEVERAL
VARIABLES
2-51
12. Show that for the function
y) = (x2
f(x,
+ y2) tan -I X,
.
1t
='2y
x:;t:
0
X
2
x=O
,
.Jxy(O, 0) = 1and fyx(O, 0) =-:-1. 13. Prove that u;x + uyy
°
=
if
(i) u = tan -I a 'log (x2 + y2) +
P tan -I ~ X
(ii) 11
U
=
tan
_I
2xy 2 2 X -y
.
1
14.If z
=
(1 - 2xy + y2) -'2, show that
15. If V = ke-gx sin (mt - gx), where
k.
g, m are positive constants, and
2
if the equation .
av -aavt = )..l-2ax
_(x2 +i·+z2)
16. Ifu=3(ax+by+cz)2
. o2u o2u. the value of--+--+-and . ox2 oy2 where P
=
hold, prove that g =
o2u
2)..l
and a2 +b2 +c2 =1 find
[o2u o2u --+--+ox2 oy2
oz2
HEn -.
02u) oz2
p
(1, 1,4).
17. If z is a function of x and y and x
=
r cos 8, y
=r
sin 8
then prove that 02z
02z
02z
a,r2 + ay2 = or2
18. If u = (x2 +
au
i + z2) f(xy
(y-z)-+(z-x)-+(x. ox. E.M.3A-IO
1 Oz
+-;.or +;
au oy
1 fiz 002'
[W.B.U.Tech.2002,2008]
+ yi + zx), prove that ou y)-=O. . oz
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2-52
G l\lATHE:\1ATICS-IIIA
19. Ifv=f(x2 .2
(y
+2yz,y2 ~
2
-zx)-+(x Ox'
20. Let .r2
=' x2
+2zx), prove that ~
2
-yz)-+(z By.
+ y2 + z2 and U
222
= r cos e, y. = r sin e,
. 2
2
oro r (i) ox2 + oy2 .
2
.
ox
.
2
(ox)
)2}
. or +(By
(x;to 0, y
;to
0)
oy2
r r + ( :~
(iii) (.:: 22. If
1/1-1
2
e + 0 e =0 2
(ii) 0
2001,2012J
prove that
1 { or
=;
[WB.U.T
rill, prove that
=
o U o·U 0 U '-')-+-2-+-2-=I11(I11+1)r oxoy oz 21. If x
~
-xy)-=O. oz
Jf = ~.(2,x--
=
1.
3y, 3y - 4z, 4z - 2x), prove that
! oW ;! oW +!oW = O. 2 ox
.
23. If
1I
3 oy
4 oz
x
y
z
y ou ou x-+y-+z-=O. ox oy
z
x
= fer, s, I) and r = -, s = -,I = -
prove that
ou·· oz
24. If u = logr and r2 ~ x2 + y2 + z2, prove that r
2(o2u o2u -2-+-2 ox 8y
o2u)_
+-2
OZ .
-1.
25. 'If z = fex, y) and x = eU cos v, y = e" sin v then show that . oz Y ou
8z'
+x ~
=e
2u oz By
[W.B. U. Tech.2006
]
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DIFFERENTIA TION OF FUNCTION OF SEVERAL VARIABLES
26. (i)
2-53
. If the cartesian system of co-ordinate (x, y) is transformed
. polar co-ordinate system 2
(r,8)
to
then prove that
.
-_ - cos 29 . . (1·).~ ax ay r2 .. ax (n)
[H'mt. h ere x
=
r cos9,y
=r
sin e ]
1
a9"* ae . ax
.
.
u
27. If V= V(x,y)andx=e
u
cost,y=e
sint prove that
i;2v + o2V =e2U(02V + o2V). . .. ou2 at2 . ox2 ay2 28. (i) Find dF;dG if F=x3y_4xy2
+8i
and G=8xy2z3
(ii). Express the area of a triangle ABC, da C. Hence show that .
. t1
. (iii) If
x
z
= 0.9. Y = -1.2:
da
L1
-3x2yz.
as a function of a, band
db
= - a + - b . + cot C de.
= tan -I xy,
find
approximate
value
of z
when
. (iv) ind the percentage error in the area of an ellipse if 1% error is made in measuring the major and minor axis. (v) Find the upper bound for the magnitude of the error of the function f(x,y)
= x2 - 3xy+ 5 at (2, 1) when [x - 21:$ 0.1, Iy - 11:$ 0.1.
, (vi) Determine d2z where z=xy2 -x2y (vii) Determi·ne d2z where z (viii) Determine d2z where z 29. (i) If.x
= rcos9;y = rsin9
= xy(x =
xlx2x3
prove that xdy - ydx =·r2d9.
(ii) If U = x2 + 3y2 - xy, compute .1x = -·2. t1y =.1. . (iii) Evaluate ~(3.8)2
+ y)
t1U, dU
where
x
= 5, y = 4,
+ 2(2.1)3 approximately, using differential.
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2-54 .
ENGINEERING MATHEMATICS - IlIA
h change from initial value of
(iv) Suppose that the variables rand (ro, ho) = (1, 5) by the amounts
dr = 0·03 and dh = -0·1. Estimate
the
resulting absolute, relative and percentage changes in the values of the function
v
=
nr2 h.zZZZ
1b
.
(v) The area of a triangle is calculated by using the fOffi1ula"2 c sui
..!..%
If the lengths· band c are liable ·to an error .
.
A.
in measurement and the
4
angle A measured as 60° is liable to an error of 1 minute of angle, find the percentage' error in the value of the area. (vi) Determine d2z where z=sin(x,
+X2 +X3)
where
X"X2,X3
are
independent 30. Prove that
f(x,y) = Ixl + Iyl is not .differentiable at (0,0).
..
31. Prove that the function
f(x,y)
xy
=~
.
.
(x,y) ;t(O,O)
,
(x.y)
x2+i =0
is not differentiable at (0,0) though fx(O.O)
= (0,0)
and fy(O,O)
exist.
2
32. Prove th~t the function f(x.y) .
=
~Y
x +y
x;t 0
4'
=0
,
x=Q
is not differentiable at (0, 0) though it possess first order partial derivatives at (0, 0).
.
.
33. Prove that the function .
f(x,y)
. x3-i =
2
2'
x +y
=0
.
(x,y) ;t(o.o)
(x,y)=(o,o).
is continuous at (0, 0), has partial derivatives at (0, 0) but is not differentiable at (0,0). 34; Find dy I dx from the following: (i) (sin y)" - (cos x)"
=0
(ii) x
=y
log (xy)
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DIFFERENTIATION
OF FUNCTION OF SEVERAL VARIABLES
2-55
2
d --f dx
35. Find
in the following cases:
(i) ·.4 1 x·+y.=
4 axy 2
4
. (iii) x~ 36. If v
=. x
+ y~
=2
.
(log x +Iogy) where x
.
3'
(iv) y3 -3ax2
+y
3
au
2
=0.
= 1, find-.dv dx
+ 3xy
. 37. Evaluate ay from the relations x-y+u
+x3
2
3
+v =l,x+y+u
I'
e =2.
[Hint. apply Th. 3. of ] .;
ax
ax.ay
.
au av au
38.Fmd-,-,-
ay
and ~. whereu
i
uv
2
+v
2
=x
+yand
.
2
u+v=x
ANSWERS 2. (a) ~ - cosl, 0 2
(b) 4xo - Yo, - Xo + 2yo.
2,2
3. 3x y + Y eX) , x ,
3
2
4
2
2
2
3x2 + 2xy3 e~. + 2Y!eX)' 3x2 + 2 yt)3eX)'
'''/
4. (i)-±(x . 5.
-%~Y2+ y -%xY2)
~("+.j3)'~(2"-3.j3),%(,,.j3
+ 2yexl
(ii) -:' 52
. 2 2 3/~ (x: + y )
2
2
y eX)' + 2xe
aJ .-_ 2
'm8y
a2J
= __
8ym
x .2 .1
hold.
~ 52
-2),%(".j3 +3),~(2".j3 +1),~(2"J3
,
(x
2
2 3/2
+y )
28. (i) (3x2y-4y2)dX+(x3
(iii) -.835
,0,0.
+
16. 0, O.
-8xy+24y2)dy,(8y2z3
+ (l6xyz3 (iv) 2%
-3x2z)dY+(24xy2z2
(v) 7
(vi~ -2y (dx)2 + 4 (y - x) dx dy + 2x (dy) (vii) 2 {y(dx)2
2
x3'
. y3
8.
r 2
+ 2xyeX)' ,6.xj + Y e'Y ,4x
+ 2 (x + y)dx dy + x (dy)
(viii) '2xJdxJ'dx2
2
2}
+ 2X2 dx, dXJ + 2xJ dX2 dXJ.
-6xyz)dx -3x2y)dz
I).
_yo
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ENGI
2-56
34. (i)
ytanx
-+- logsiny
logcosx
(ii)
"
- xcoty
EERING
;VIATHE:\IATICS-
y(x - y) x (x + y)
2 (iii) ----::--:(l-x2)~
36. 1+ logxy - x (x2 + y) / Y (y2 + x). u3 + 2ve-v 37:
2u
4
2"
- 6u v
nrn
2u + 1 2v + 1 2u - 1 2v-I 38 • -- x ' -- 4x ' ----2 ' 2
.
MULTIPLE
.
CHOICE QUESTIO
S
. x 1. IIm-= x->0y y->O
(a) 0 2. f,:y
(b) 1
= f •.for x
all function
(c) f(x,y)
(b) no
" (a) yes
= u2 + 1 and
3. Let feu)
(d) does not exist
00
u = 3x2 + y then
Ix
=
(b) df dx 4. If 4>(x,y)
= 0 then
4>x (a)
=
4>y (b) ~
4>,,"
5. If 4>(x,y,z)
dy dx
=
(c) 4>y
(d) none of these
o then
(ay) (ax)" ay z=consl?< az (a) 1
(d) none
(b) -1
x=constau"1 x
(az) ax
(c) 0
= y=constatlI (d) none
IlIA
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DIFFERE
OF FUNCTlO
.
OF SEVERAL VARIABLES
2-57
ou = ax
6. If u -: log (x2 + y2) then -
.
1 (a) X2+y2 7. If f(x,
y)
(a)
x2 _ y2 (b)X2+y2
= Ixl + Iyl then
(d) none
1«0,0)
=
°
(b) 1
(c) does not exist 8. Which of the following f(x,y)
statements
is not true for the function
= X2 +.xy + y2 af
(a) f(x,y)
is continuous at (0,0) (b) -8 exists at (0.0)
x
of (c) 9. ~(xY)
ax
.
ay exists at (0,0)
,
.
10. If x
=
(d) j~y (x,y)
(c) xy logx
(b) yxY
.
,
ax =-or ar ax
rcosO,y =rsmO then -
(a) True
11. If x
,
,
:#=
fyx (x, y)
=
(a) 1
,
(d) none of these
=rcos,S,y =r
(b) False Ox sinS then -
=-
1
or or ax
(a) True
(b) False
(a) xr logx
(b) 0
(c) does not exist
(d) yxy-I
(d) yxy-I
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2-58 .
ENGINEERING
13. If I(x,y)
= X2 + y2 then I
(a) I
xy
[WE,
(x,y) =
(b) 0
,.
MATHEMATICS-iliA
(c) 2
(d) x + y
(c) 1
Cd) 2u
u. T.2007]
X2
14. If u = log-
then xu, + YUv
Y
,
(b) 0 Y
,x'
au
01,1
15. If u= sirr" - + cos-I - then x- + y- = y X ox Oy (a) sin-I'::' y
+ cos " y
(b) 2u
X
(d) 0
(c) 3u .
3322
16.Ifz=log(x
+y
-x
azaz
) then -+-=-OX oy
y-xy
(a) True
17. lim x~o
,
x2
IUTI . y~O x2
1. x+y
(b) False
-l + y2
=
' lirn ,
InTI y~O
x~o
x2 _
y
2
x2 + y2
(b) False
(a) True. , 18 . li1In . 2x Y 2 d'oes not exist x~ox + Y y~O
(a) True
(b) False
19. In the function V = ftu, v) if (a) 0
u
(b) constant
is independent variable then d2u = (c) I
(d) none
20. If the increment of the function z =
0 and fxx(1, 2) = 6 x 1 = 6 > O. So the function has minimum value at (I, 2). The minimum value = 10, 2) = 13+23 - 3 x 1- 12 x 2 + 20 = 2. [Alternatively : we see
if {(dx)2
d2/=(..!..:dx+~dy)2/(X'Y)= ax oy and at (I, 2), d2 f
= (6 X l)dx2
ax
il I
+2
+ 2(O)dx dy + (6
= 6(dx)2 + 12 (dy)2 > O. :. I(x,
dx dy+
ax oy X
il
{·(dy)2 dy"
2)(dy)2
y) has minimum at (1~·2) by Th.3.]
Now H(-I, 2)= 36 x -1 x 2;:: -72 < O. So the function has neither maximum at (-1,2). . . nor minimwn . Now H (1, - 2) = -72 < O. So the function has neither maximum nor minimum at this point. Now H (-1, - 2) = 72 > 0 and Ixx (-1, - 2) = 6 x -1 So I(x,y) =/(-1,-2)=(-.1)3
has maximum value at (-I, -2).
+(_2)3 -3(-1)":'12(-2)+20=38.
= -6
< O.
The maximum value
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VIAXIMA & MINIMA
LAGRANGE
(-1, - 2) d2
[Altern~tively,at
2-89
MULTIPIER
1= -{6(dxl
+ 12(dy)2} < 0
:. f't x, y)
has max value at (-1, - 2) by Th. 3.] Clearly the saddle points are (-1,2) and (1,- 2). Example. 2. A top-open rectangular box has capacity 32 eft. Find the dimension of the box so that the total surface area is minimwn Solution. Let x. y. z be the length, breadth and height of the box. Therefore the volwne, V = xyz . ..
xyz=32.
Surface area of the box, S = x;i
x
y
as 64 ox =y-~
Now,
and
'.
as oy =x-
.
x-
= 4..So fromI l ), z = 2. Now
H(x,y):::z. .
And Sxx(4; 4) =
64
3
4 x4
3
.
= 0 and x - -, = 0 we get x = 4 and y-
2 2 7 a s a s _ {a s}2 2 ax ay2 ax ay
1282
So, . H(4,4)=
4ft, y
64
l'
64
Solving the two equations y - -,
x =
(I)
+ 2xz (since top is open).
64 64 S = xy + - + [putting z from (1)].
..
y
+ 2yz
-1:>0.
2
= 128.128 -1 = 128 x3 y3 x3
i
-1.
.
128
> O. So the surface area, S is minimum when 4 .
= -3
4ft, and
z = 2ft .
. [ Here also. the point of maxima/minima can be identified by using Theorem 3.] Ex.,3. Find the extrema (i.e. max. and min.) of f(x, y) = 4x2 + 4y2 + x3 Y + xyJ - xy - 4 and the saddle points.
Solution. Here; Ix (x, y) J;,(x,y)
= -x
Ixx (x,y)
3
+8y+x =
= 8x + 3x 2 Y + /
- y and
+3x/
8 + 6xy, fyy(x, y) = 6xy + 8, Ixy(x, y) = 3x2 + 3y2 - 1.
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2-90
..
ENGINEERING
Consider
Ix (x,"y) = 0 and
the two equations
8x + 3x2 Y + / -x+8y+x3
- Y
x +y
..
y.=-x.
=
+3xy2 =0..
O. .:
(2)
(x + y)2 + 7 -::P 0.
7} = 0
.
(3)
x(4x2-9)=0
Corresponding.
Therefor~
= 0, that is
(1)
From (1) and (3) we get 9x -4x3 or,
j~ (x, y)
=0
Adding these two we get (x + y) {(x+ y)2 + or,·
MATHEMATICS-iliA
=
0
=> x=O ~ -~. , 2'
1y y
2
= 0 , - -,3 -.3
2 2
we have three critical points (0, 0), (%,-%)and(
Now .H(x,y)
= In Iyy -(fryi = (8+6xy)(6xy+8)~(3x2
-%,%J
+3/ _1)2
= (6xy + 8)2 - (3x2 + 3y2 _1)2 . .
Now,. H (0, 0) = 8
2
- (-1)
·2·
= 63 > 0 and
I.x;, (0,0)
=8>
o.
So f'(», y) is minimum at (0, 0). Again
H(~ - i) = 2'
= -126
(6 x ~ x
2
2
_i2 + 8)2 - (3 x.2.4 + 3 x.2.4 _1)2
< 0.
. So f'( x, y) has neither maximum nor minimum at
(i,2 -~). 2
This point
is saddle point. Now also.
H(~i,})
= -126
. 2 2 .
. .
< o. So I(x,y)
has
no extrema at this p~int
Thus (0, 0) is point of minimum and the min. value (%, -
%)
~nd
(-%, %)
= 1(0, 0) = -4.
are saddle points.
Example 4. Examine the function x2 y2 - 5x2 .: 8xy - 5y2 for extreme values.Indicate
the saddle points, if any.
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MAXIMA & MINIMA LAGRANGE MULTIPIER
HereJ(x,y)
Solution:
"2
c
··fAx,y)=2xy fy(x,y)
2-91
=x2y2 -5x2 -8xy-5y2 -IOx-8y
= 2x2 y -
8x -10y
"Let us solve for x and y from the equations
2xy2 -10x-8y=0 and
or, xy2 -5x-4y=0
2x2y-lOx-lOy::::0
(1)
or, x2y-4x-5y=0
Adding (1) and (2) we get
xy(y + x) -
5(x + y) - 4( x + y) = 0
or, (x+Y)(Ay-9)=0 If x+ y=O
:.x+y=O
i.e. x=-y
or, xy=9
or, _y3+y=0
-1) = O. This gives y = 0, y = 1, y = -1 .
Consequently ,
If xy
+ y) (.-\)'- 5 - 4) = 0
we get from (1),
or, _y3+5y-4y=0 "or, y(i
or, (x
= 9 "i.e.
x = -0 = 0, x = -1, x = -(-1) = 1 y
9
= -,x
and we get from (1),
X.(~)2 -5x-4.~=0
x
81
"X
or, --5x--=0 x or,45-5x2=0 If x =~,
36 X"
45
or, --5x=0 x " or,9-x2=0
:."x=3,-3
" 9" 9 y = 3" = 3. If x = -3 , Y = -3 = -3
" :. the critical points are
(0,0), (1,-1),(3,3)
and (-3.-3)
(2)
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2-92 '
E GINEERING
Now, fxx =2y2.-10,
fyy =2x2 -10
: . .f~fyy
-lO)(2x2
- /\;,
= (2i
•. at (0,0), fxx
f yy -
,
at
(~I,I),
and
l\lATHEJ\IATICS-IllA
!I:Y
=4xy-8
-lO) - (4xy - 8)2
2
),
f xy = (-:10)( -lO) - (-8
t
= 100 - 64 > 0
fufY.Y-f~=(2-10)(2-10)-(-4-8)2
= (-8)( -8) -
(_1.2)2
at (1,-1), fuf
yy -
= 64 -144 '(x;y,z) = 0 and \jI(x,y,z)=0 Let
F(x,y,z)
= f(x,y,z)+
Then 'the values of x.y.z
AI4>(X,y,z) + A2\j1(X,y,z) . obtained from the equations 4>(x,y,z)
. of of \jI(x,y,z) = 0, a.;'= 0,
0,
of
ay = 0 , -;;; = 0
function f(x,y,i)
=
give the critical point of the
(i.e. the point where the functionj'rnay have extremum)
subject to the two given. constraints. A critical point, tbus formed, is a point of Maxima or Minima according as
(i) d2 f < 0 or d2 f > 0 at tbe point where d2 f
is determined
considering two variables say y and z as dependent on the other, x Note. (1) In the above methods the multipliers Lagrange 'sMultipliers .
A1,A2'"
are called
. (2) The. .above results can also be extended for function of more than three . variables. But this is beyond the scope of this text.
4.3.5. Illustrative -Examples. Example 1. Find the maximwn value of x3 x +y
= 1,
i
subject to the constraint
using the method of Lagrange's multiplier.
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2-99
= x3y2 . Here it is a function of two variables.
Let /(x,y)
Solution:
The constraint is x + Y ~ 1 = 0
= /(x,y) + A.(x + y -1)
Let· F(x,y)
of
( I)
of
2
J
= x3y2 + A.(x + y -1)
3'
:.-=3x-y +'A. -:;-=2x y+A. ox ' 0' Let us solve for x,y and A. from the equations x+y=1
(2)
3x2/+A.=0
(3)
2x3y+).. = 0
(4)
From (3) and (4) we get 2x3y - 3x2 y2 . ... X=, 0 or y=O
= 0, Y = 0;
=1 x=1
then from (2) we get y
If
then from (2) we get
. ~ ~ If X'= 2" t~en from (2) we get 2" + y 3
2
or, x2 y(2x - 3y) = 0
3y X=- 2
~f x
:. x
=0
= lor,
~ 2" = lor,
y
3
=.- x - = -'
255
Now,
.2
(a
2 . a )2 /=-2 0/ Oy ox
= -dx+-dy
d / ,
ax,
a.r,
2
Now -=3x , 'c7x , 02 f and --=6x oXOy ,
2
:. d2/
,
=
y
2
of
3
2
a2'/
-, =2x y --=6>:>J Oy , ox2 -rr
2
6xy2(dx)2 + 2x3(dy)2 + 2.6x2 ydxdy 2
f)(~'~)
. .
6>~.~(dx)2 5 25 . =
5'5
., ~{4(dx)2 125 E.M.3A-13
a2 f
-2-=2x 8y
y
.
(d2
2
2
0/
+
2
0 /
(dx) +-J (dy) +2-,-dr:dy ',oyoxoy
2.(~) 5
'
}:..dxdy 5
+ 3(dy)2 + 12dxdy}
3
2
=5
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2-100'
ENGINEERING MATJ-iE~IATlCS-I1IA
From the constraint x + y
=1
dx + dy
, we get
=
0
or, dy
=
+dx
Example 2. Find the maximum value 8xyz subject to the condition x2 y2 -+-+-=1 a2 b2.
z2
c2
or, Find the volume of the greatest rectangular paralleopiped that can be .. .. x2 y2 z2 inscribed in the ellipsoid 2 + 2 + 2 = 1 a b c Solution: Let f(x,y,z) = 8xyz x2 y2 z2 x2 v2 z2 Here the constraint is - 2 + - 2 + 2 = lor, 2 + +2 . a b cab c
2
.
(2x
y
- I= 0
2 z2 )
Let F ()X,Y,z =8.xyz+A. 2+-2 +2-1 .' a b c
aF
.
:. -.=8yz+A.2 ax
(2X) a
8F Similarly
Ox
2xl..
= 8yz+-2-
a
2yA. aF = 8xz
+ --;;:-,
a;
2zA.
= 8xy
+
7
. .. x 2 y 2 z2 We shall solve XJl,Z and A. from the equations 2 + -2 + 2 a b c . 2xl.. x); . 8yz+-. -2 = 0 or,4yz+2=0 a a 8xz + 2yA. == 0 . b2
2zA.
8xy+-=0
c2
=1
(l )
(2)
yA. or 4xz+-2 =0 , b.
...
(3)
21.. or, 4xY+-2 c
...
(4)
=
0
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MAXIMA & MINIMA
LAGRANGE
2-)01
MULTIPIER
Multiplying (2), (3), (4) by x, y, z respectively and adding,
2 . 2
2]
we get . (. 12xyz+A ~+L+~ .. a2 b2
=0
c2
or, 12xyz +). x 1 = 0 by (1) or, xyz =
A
-12
(5)
Putting value of yz from (5) in (2) we get . A XA 4x--+-=0 12x a2 2
or, x .
a
-A XA or -+-::;;0 ' 3x a2
2
a
=3
or, x
S·UID·1ar Iy we get y
a
= J3' - J3'
b b = J3'J3
Now z depends on x,y. So we find . a b . 1 I z2 when x = r;;' y = r;;' - + - + - = 1 from (1) . ~3 ~3 3 3 c2
z2 or,
·2
Ie·
;Z=1-3=3
:.z=± J3
Thus there exist many critical points which are
p(~, ~, JJ} Q(- ~,- ~'JJ}~ R( - ~, To find the ~ature of the critical points we find d2 dependent on x and y. Now, I(x,y,z)
a
I
~).etc. assunung z as
= 8xyz
a
:. d2 1= -dx-dy ax Oy
(
~,
0)2
+ -dz oz
f
02I 02I 02I . (dx)2 +-2 (dy)2 +-2 (dz)2 +2-d-aly .ox oy oz oxOy
Ii I
=·_·-2
021 . 021 +2--dydz + 2--dzd, oy8z . 8zox
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G ;\1ATIIE,\IATICS-
2-102
Now, al =8yz, aj =8zx, aj ax .ily az 2 2 a I a2 I a I -=0 -=0 -=0 2 .ax 'ay2 . 'az2 '
a2/
iliA
=8xy a2 I --=8z axay
,
a21
--=8x ayaz
-'-=8y ~ azax
So, from above, d2 j 2
:. (d
I)(~
= =
l!-.~)
:J3'.J3'.J3
16(zdxdy + xdydz +bdzdx) 16 . r;; (cdxdy + adydz + bd:cdx)
-rs
. . 'x2 y2 z2 Now from the given constraint -2 + 2 + 2 , a b c
=
1,
we get by takirig total differential 2xdx + 2ydy + 2zdz a2 b2. c2 . (a :. at P
=0
be)
dx
dy dz + bFJ + =0
=
1~{cdxdy-(adY+bdx)j
FJ' FJ 'FJ ' aFJ
cFJ
or, dz = _(dX + dY) cab Thus (d2/)(..!!-.l!-.,~)
.J3 .J3 .J3
-n
=_~{(adY-bdx)2 FJab 2 Therefore at
dx + dY)} a
b
+~(ady)2 +~(bdX)21
0
(c) fxx(a,b)f;y(a,b)-{fxy(a,b)}2
=0
(d) none of these. 5. f(x,y)
is such that fx(a,b) =/y(a, b) =0., Then (a,b) is saddle point if
(a) f xAa,b)f yy(a,b) -{fxy(a,b)}
2
(b) fu(a,b)/ly(a,b)-{fxy(a,b)}2 (c) /«(a,b)
=0 0
of 0/ . (d) zc: =-= 0, AC> B2 and A < 0 '. ox . Oy
ANSWERS l.b
2.b
3.c
4.a
S.b
6.c
7.d
S.d
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2.4.1.
Introduction.
In this chapter
we shall discuss different vector differential operatorsGradient, Divergence and Curl. These operators when applied on point functions give a new point functions. These operators playa very important role in the study of Fluid dynamics, Electro dynamics and other branches of applied mathematics and also different branches of Engineering. .
.
2.4.2.
Scalar and Vector Fields.
Pointfunctions. A variable quantity whose value at any point in a region of space depends upon the position of the point, is called a point function. There are two types of point functions. (a) Scalar point functions: If to each point p(x, y, z) in a region R of the space, there corresponds a unique number or scalar Ij>( p) i.e. 4>(x,y, z) then 4> is called a scalar point function.
This function together
with R form a scalar field. Illustration. (i) The distribution of atmospheric pressure in space defines a scalar ·field. Here R is the space and. 4>( x,.y, z) is atmospheric pressure at a point
(x, y, z}.
.
(ii) f( x,
v, z) = x3 Y + 5xz
(b) Vector point functions.
defines a scalar field.
If to each point
p(x,
z) in a region R of i.e. l(x, y, z), then 1 y,
space, there corresponds a unique vector l(p) is called a vector point function. This function together with R form a I'ectorfield. .
Illustration. (i) The velocity of a moving fluid at any instant defines a vector field .. [ii)
-
f (x, y,
z)
= xy 2Ai + 3x jA - 2z-,Ax k
defines vector field.
2.4.3. Gradient The Vector Differential
Operator
Del
(V).'
_
The vector differential operator del, (also called nabla) in symbol V, is defined as
-'OA OA OA V=-i +-j+-k
ax
ay
az
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2-124 The vector operator
V can generally be treated as an ordinary
== (~,
whose co-ordinate
~,
vector,
~).
ox oy OZ
Gradient of a Scalar Field. Let point
~(x, y, z) be (x, y, z) in a
. differentiable
certain
(~i ox
It should
~(x,
R of space i.e.
region
scalar field. Then the gradient
V~,
symbolically
V~ =
a scalar point function defined and diffentiable y,
z)
at each
defines
:l
of ~ , denoted by grad ~ or
is defined as
+~
8y
f)~= (o~ox i
J +~
oz
V~
be noted that
scalar point function.
+ o~ J + o~
oy
f)
OZ
is a vector point function
Thus the gradient
when
~ is a
of a scalar field defines a vector
field.
Illustration. grad ~ =
If
~(x,y,
z)
= x2y + i x + z2,
V~ = i o~ + J o~ + f o~ ox
oz
8y
= i(2xy+ y2) + j(x2 :. At the point
V~ = (2 x i.e.,
1 x 1 + 12)i + (12 + 2 x 1 x
IP +
(2 x
1) k
V~ = 37 + 3j + zi, and sufficient
~ to be constant is that
Proof Then
+ 2.xy) + k 2z
(1,1,1),
Theorem 1. The necessary function
then
Let
~(x,y,z)
V~=
for a scalar
for all (x, y, z).
be constant.
o~ = 0, o~ = 0, o~ = ox oy OZ
°.
:. "V~ = i o~+ j 8J+zk.
J, g
+ 2'Vf . 'Vg + g'V2f;
are scalar function
19. Show that the vector (ysinz-sinx)i+(xsinz+2)2").i+(xycus=+/)/~ is irrotational. that A
20.Show
calar function 21 Prove that (x,y,z)
= (6:"9'+z3)T+(3x2 ~z)J+(3xz2 $ such that
fer)
r
A = V$
is irrotational,
:-y)kis irrotational.
Find a
.
r =1
r I, r
position vector of the point
.
22. Prove that the vector solenoidal
r"? is an irrotational
for any value of
11
but is
if n .•.3 = 0 .
23. A vector field is given by fiel~ is irrotational
A = (x2 + xy2)i
and find the scalar potential.
+ (/ + i y).7 .
SI10\\
that the
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2-155
GRADIENT,
DIVERGENCE
24 .. Show
that the vector v=(2x- )'z)[ +(2y-zx)]+(2.:-v)i Find a scalar function 4> such that v = grad
= x2 yz3 + constant
+2(x.l +} -3iy)yk
+2(3x/ +x3 -6x y)4
(iz-24XYZ) -(12i;+2xyz))
+ constant 2·
2
+3x2y-6xl)Zi
(ii) 0
2 2
= .::.- + L + ~ 3
24.
i\IATl-IE\IA1ICS-IIIA
+ (2-\l + 12yz2
+x3)k
30.2a2 1
31.(i) 2 .
[III)
(iii) 0
(ii) -6i + 24) - 32k
r
MULTIPLE
= 3x2 Y -
1. If f (x,y,z)
y3z2
CHOICE ,
then gradf
QUESTIONS at (1,- 2,-1) is equal to
'(a) 12i + 9} + 16k
(b) -12i
(c) i + 9} - 1Qk
(d) none
2. The unit normal to the surface
X2
y + 2xz
= 4 at
-r
9} -16k
the point (2, - 2,3)
are (b) ±~(i - 2) - 2k)
(a) i-2}-2k 1 . (c) J(i+2}+2k)
3
.
(d) none
3. The directional derivative of i
+ 2} + 2k at tile point (1,2,0)
f
= xy
is
10 (a) -
3
·10
. (c)
+ yz + zx in the direction vector
-3
4. The maximal directional derivative of
1
(b) 3
(d) -x3 y2z
1 3
at (1,-2,3) is
(a)
J9l
(b)
(c)
4.J9i
(d) none
-4J91
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GRADIE
T, DIVERGENCE
A D CURL
5. If ~f
= 2xT + 4y} + 8zk
, then f is equal to
(a) x2 - 2y2 + 4z2
(b) 2X2 + 4y2 + 8z2
(c) x2 +'2y2 +4z2
(d) none
r = 1'7 + yJ + zit, then
6. If
2-157
~.
r=
(a) i + j + k
(b) 3
(c) -3
(d)
0
7. The value of b for which
Ii. = (b~2 Y + yz)f'
+(xy2 ~ XZ2)} + (2.xyz -:-2x2 y2)k is solenoidal is
(a) -2
(b) 2
(c) 4
(d) -4
Ii. = 3x2 i + S:>.y2 J + xyz3 k,
8. If ,
then div
(a) 8 (c)
at (1,2,3) is equal to
(b) 10
0'·
(d) 80
9. The curl of .xyz2i + yzx2
J + z x y2k
at the point (1,2,3) is
Wllli~~ (c)
A
~IW+~
lOi +3k ../109
10. If for any vector .
(d) none
A, ~ x A = 0
(a) coplanar
then .
A
is called
(b) irrotational
. (c) solenoidal
(d) none
11. The value of m such that
Ii..= (mx t
y- z3)i +(m-
2)x2
J +(1-
m)xz2k is irrotational is
(a) 0
(b) 4
(c) -4
(d) none
12. T~e.valueof
V2(~)
is .
(a) I
(b) -1
(c) 0
(d) 10
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2-158
ENGINEERING
13. The tangent plane to the surface
MATHE.\1ATICS
+ x2 Y -
xz2
z
- UlA
+ 1 = 0 at the point
(1,- 3,2)is
2x + y + 3z+ 1 = 0 (c) -2x+ y+3z+1=0
(b) 2x- y-3z+1
(a)
14. If
r = xi +y) + zk,
then
(d) none
V x F is
0
(a)
(b) 3
(c) i + j+k
15. If
F = X2 yf
(d) none
+z2k.
+ y2:ij
then
V x CV x i) at
-u + 2j+ k
(a)
=0
(1,-1.0) is
(b)2(i+j+k)
-(c) 2(j+k)
(d) 2(j -k)
(a) 1
(b) -1
(c) 0
(d) none
17. The normal to the surface
x-2
y+l
- z-5
y+l
z-5 -1
x2
+ y2 -
x-2
= 0 at
the point (2, - 1,5) is
x-2 v+I =-5 (b) -4-=' ~2 =--=t
4=-=2=-1-
(a)
(c)-=-=-4 2
Z
(d) none
ANSWERS l.b
2.b
lO.b l1.b
3.a
4.c
5.c
6.b
7.a
S.d
12.c
13.b
14.a
15.d
16.b
17.b
~.b
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I MODULE-3 ·1 3.1.1. Introduction Like a single variable function f(x) we can integrate a continuous function f (x, y) over a region on 2 dimensional plane /3 dimensional space. There are many similarities between the double integrals which are defined here and the single integral i.e. Riemann integral for functions of single variable. All these integrals can be evaluated in stages using the method of single integration which is already in our grip. We use double integrals to find the area of a region, the volume bounded by a surface and a plane. centre of gravity as well as moment of inertia. Because of these double integrals play an important role in the field of Science and Technology. 3.1.2
Definition of Double Integral.
Let. z = f(x,y) be a function defined 'on a region R lying (as shown in the figure).We subdivide Z R into n number of non-overlapping . subregions of area Ml' M2,.·· II
/(x. y)
O.;--+-t-t-+--tt--HHI----+ y
Let the points (XI,YI) (X2,YZ) .... (xll,y,,) belong. to each of these subregions respectively. Consider the sum,
+ f(X2,Y2)M2
Fig.l
x 1/
+····+f(xll,YII)MI/
=
. 00
in such a way that each Mr ~ 0 .
1/
The~ the. sum If(x,.,Yr
Lf(xnYr)Mr 'r=1
Let the number of partition n ~
.
:: =
. Mil R).
(i.e. MI+M2+···M =areaof
f(XI,Yl)Mj
XOy plane
011
00
)M,. varies and if lim Lf(x,.
r=1
Il~
,Yr )Mr exists,
r=1
.
f(x,y) is said to be integrable on R. Th~ value of this limit is called double integral of f(x,y)on
R: It is denoted by
Sf f(x,y)dxdy. R
.
Note. Since the Double integral is nothing but a limit, so the double integral ofa function inay not always exist. However we have the following theorem.
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3-2
ENGINEERING MATHEMATICS-iliA
Theorem If f(x,y) is continuous and sectionally continuous on the region . R, then it is integrable on R. Proof is beyond the scope of the book.
3.1.3. Evaluation (1) Let R bea
of Double Integral" by Repeated
region lying on XOYplane
Integral
and this region be such that
any line parallel to y axis meets the boundary
of R in at most two points.
R shown in the figure is such a type of region . . Then the boundary of R can be partitioned into two curves ACB and
The region
ADB.
y
.Let these two curves be defined by the two functions A
y = J..-( x) and y = h (x) respectively, where fl(x) andf2(:,") are continuous
[a, b] .
in the int~rval Then. if
JJ f(x',y)
C
---------------~- ---........-::'~ c
o
dxdy exists,
B
b
.0
Fig. 2
R
(2) Let R be a. region lying on XOY plane and this region be such that any line parallel to x axis meets the boundary The, region
R shown in the figure 2 is such
of R can be partitioned
boundary
of R in at. most two points.
a
type of region.
into two curves
Then the
CBD and CAD.
Le~ these two curves be defined by the two functions
x where
= «PI (y)
x. = «PI (y)
~en
if
and
and
x
= «P2 (y)
x = «P2 (y)
respectively,
[c,d].
are continuous in the interval
JJ f(x,y)dxdyexists, R
.
.
d X=~2(Y)
Hi(x,y)dxdy.=
I I
R
C
X=+l(Y)
d {X=h(Y)
f(x,y)dxdy
=
f
I
y=c
x='I(Y)'
.
f(x,y)dx
}
dy.
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3-3
DOUBLE INTEGRALS y
. Illustrations. (i) Let R be the region enclosed by the circle (x - 2)2 + (y - 2)2 = I and the straight line y = 2, as shown in Fig
3. Then the. boundary of this region . can be partioned into two curves ADB and ACB which are represented by the functions .y,=2·+~l-(x-2)2
-1-
_-4
--1'---..•. X
0
3
Fig,. 3
=2+~4x-x2-3
and y is defined on] 1, 3].
.
So the double integral of a function {(x, y) is
If !(x,y)dxdy=·J
2+~4Tj~~~y)dxdy
R
y=2
x=1
=
J {2+~4Tf~~~Y)dY}d" y=2
x=1
(ii) L~t R be the region enclosed by the circle x2 parabola y2
=X
+ y2
.
=2
and the
as shown in Fig 4.
Then the boundary . region can bepartioned
of this
Y
into two
curves AOC and ABC represented by the
x = y2
functions
x = ~~i-/
defined
and
-----+--~~3----+x
on the'
interval .-1:::; y.:::; 1; . So the Double Integral of a function,
say' j(x, y) ~ xy is Jfxydxdy= R
Fig. 4
i
. r:::--r 'v2-y-
)'=-1
x=i
f
fxydxdy
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3-4
ENGINEERING
]N
MATHEMATICS
-iliA
2
= fy[x
2
-I
Y
dy
2
= 2"1 f1 y {.(2 -
y2)
-
(y2 )
2}
dy
-I
1
=~
2
.
f y( 2 -l -/ )dy -I
1 I
=2" J(2y_y3_i)dy
.
. -I
.= ~ x
0
[ .: the integrand is an odd function]
2
=0·
Illustrative Examples
"
II
2 "
Ex~mple Solution:
sin(x + y)dxdy . [c.p 1996,2006] o 0 Here the region R is the rectangle formed by the straight lines
L Evaluate
1t
x
= 0,
.
x =. -2 and y =., 0 y
=
1t.
1\
..I f 2
"
~in(x + y)dxdy
x=Oy=O 1t
rt
"
xL U~in(X+ Y)d+X = xL[- cos(x + Y)];.0 dx = +OSXdX = 2 Example
Solution:
. 2. Evaluate
iI R
x-y
Jf ~dy RX+Y
x - y dxdy x+y .
=
.
f {f .
"J
tI
C
fff
dx dyd: =
('
(a) a+b+a+d+e+
f
(b) abcdef
(d) (a + b)
(c) ib - a)(d - c)(I -'e) 4310
2.
4
(ii) ~~ (iv)
e
J(J
3
2C1
(vi)
4. (i) ~(sin9~~in7-.sinIJ-Sin3-2sl11i)
3e
--+e"--
8
8
I.
1
e:" (iii) --
. 3 (IV) .,-
(i.ii)
1,%
(vii) -rra 15
o,
(I)
(iv) log 256
. (iii) 8' '.
4rr
I
(v) -e-I ·2
J.
(iii) 0
(vi) -6
(v) 18 a
X2
(c'+ d)( e + n
.
J J f dx dyd: = :2 I .9
(:1) 4
(b) 5
(c) 2
(d) none of these
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TRIPLE INTEGRAL"
3- 67
3. The value of the triple integral
fHdxdyd::, E
= [0.1;
0.2; 0.3] is
"f.
(b) n
(a) 87r
JHsinx
4. The value of
(c) 47r
(d) 27r
(C)-I
(d) I
(c) 0
(d) 6
siny sin zdxdy dz
R
R: {O:S:;x:S:;2;r, O:S:;y:S:;7r, 0:s:;z:S:;;¢2} (a) 0
(b) 2 ,
I
3
I
•
_~
dx dy dz =
x/z3
J J J
5:
:-_--~
I
(a)
IS
1 (b) 24
12
I I I-x
6. The value of the triple integral
f J f xdzdxdy
o
8
16
32 (b) 5
(a) -
5
(e) -:-
I
4
=: ;)
bounded by the plane x + } + z = 1 and
plane is
1
9.
(d)
)
8. "The volume of the tetrahedron
(a)
1 (d) 7
2 (e) 35
If( Odz )dy )dx
The value of
co-ordinate
is
0
4 (b) 35
(a) 35 7.
i
I
2
1
" (b) "3
Cd)
(e) I
6"
x .;:+.r
J J "f e",·..,-tdxdyd:: = ,) U
0
4
e"
"
e
2
"
"
e4 3e2 3 (b) ---+e--
(a) ---+-3
. 8
e4
(c)
4
8
4
8
3e2
8-4 +e-l
(d) none of these
ANSWERS" I.c
2.a
3.a
4.a
5.c
6.b
7.n
H.d
9.h
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TIIEOREM
OF GREEN,. GAUSS
&
STOKES
3.3.1 Introduction. This chapter
is denoted
surfaces and relationships
to integrals
of vector fields over curves
between such integrals.
surface integrals arc discured throughly,
and
Mainly line integrals and
Some important
integral theorems
are placed in the present chapter by which line integrals can be transformed
as well
into double integrals or into surface integrals he transformed
into surface integrals
uses iri solving
can
and vice versa. There have important
partial differential
used in the sciences
as triple integrals
equations
and in constructing
models
and' engineering.
3.3.2. Line Integral in the Plane , Let z = I(x',y)
be a continuous
in the xy -plane whose parametric x == cD( t ); y ==
\jI ( t )
equation
is
(I)
.. .
tor some real values of
function at every point on a plane curve
Consider
T.
any arc C of the curve (I) enclosed between
two points A. Band
the values of the paw 'meter
l
a. b be for these
points. Divide the arc C into n parts by the points.
Also let
Si
and
~.,.~.
\."' == (1)1\ t I, ) ,., .. -= I
be any point in
.
\1/(/)
I
/".1 =
.,
[/1-\ ,Ii],
i == 1,2·
"/I.
n
Consider
Po
the sum Lf(x"Yi)L\Xi
.
where
~Xi=
X, -X/_1
i=!
ow let the number of partition
11 -t 00
'".insuch a way that
L\ Xi -t ().
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LJSS & STOKES n
n
L f(
Thl:11till: sum
Xi'
Yi )
6.., i varies and if lim
;=1
ihc Iuncuon
3-6Y
II~OO
1(-'" . .1') is line integrable
f f(x,y)dr
L f( X
ff4zdydz 00
'=2 I
I
II F- . ii ds = I J ( o· iA - Y 2 .jA + yz· S2
kA) . ( -iA)
,
'
z=Ox=O
A
[': on S2,
A
11 = -i, X
=0 ]
=0 1
I
II
fIF·nth= ~
(4xz[
-e '}+(ik).j-dxdz
~~
,
[.,' on S3' Y
I I
= 1, n =) ]
=-ffdxdz=-1 00
IfF ·nds=O
[.: on S4
S4 ,
11
ffF.nds=
IIydydz
s,
00
[ ': on
r=
0,
ii = - } J
S5, z = 1, n =
k]
,I
= 2' ffF.nds=O S6
:.,
JJ-F'n Ads' =2-1+-=- 1
, S
3
2 2
From (1) and (2) the divergence theorem is verified.
(2)
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LINE & SURFACE INTEGRAL, GAUSS & STOKES
3-93
_
. Example. 2. Verify the divergence theorem for F taken over the region bounded by the cylinder
.. ..
v
s
V.F=~(4x)+~(-i/)+~(z2) ay
.8X
+ y2 =4, z = 0, z = 3.
ffJ V . F dv = ffF .n cis
Divergence theorem, states Now
x2
A 'A ,A = 4xi - 2y- j + z: k
8z
=4-4y+2z. For a particular z, x2 + /
= 4 is a circle whose radius is 2.
- 2 :::;x :::;2 .: But for a value of x, _~4_X2
.. Iff\?·F
For-any (x,y),O~z~3
:::;y:::;~4-x2.
dv
v
2
ee "
J4_x2
J(4-4y+2z)dzdydx
x=-2 v=-J 4--.t2
2
J
, .=
3
J 'J
==0
, (-2' \/4-x
,J(3.1-12y)dydx
-2 _~x2
[.: ~4
'--42J2
'-J4-x-
2dx
-2
=
0fl~ydy=O ]' -J4-x'
82[X~4'-'X2 2,
,4. +-sm 2
_IX]2 2,
.
0
(I)
= 84( 2· ~) = 847t 1
Now
If F . /1ds = If F .Ii ds + If F . Ii ds + If t .Ii ds s
~
~
~
where SI' is the circular base in the plane z
=0
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3-94
ENGINEERING
S2 is the circular top in the plane- z
MATHEMATICS
-iliA
=3
S3 is the curved surface of the cylinder. give by
x2
+/
=4
Z z;:::3
~~X
I
~/
z=o x
II F·n
In the integral
.: s,
n = k and z = o. - If FA . n ds = If (A4xi :. -
~
ds,
n
i.e. z
=
0 plane,
- A) . kA dx dy =- 0 - 2y 2 jA + Ok
-~
In the integral-
is- normal to S"
-
II F . hds, n = k
-
and z;:::;3
S2
.',
JJAFrh
S2
ds
»
_
J(J 4xiA -2y 2Aj+3
2A)A k -k dx dy
S2
:-:9JJ dx dy = 9 (area of S2)
= 9·
n(2)2 == 36n
52
S3 is represented by the-equation x2
+/ - 4 = o. So
V (Xl
+./ - 4)
is normal vector on S3 (See Th. 5 Art 5.3.3).So the unit normal vector,
n=
4) 2xi + 2y] IV(x2 + i -4) 1- ~4x2 +4y2
..
F -11 = 2x- - y
A
V(x2
-
A
~ y2_
')
-
3
=
xi + yj
2
[
~
.: x-
')
+ y- =4
]
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LI E ,& SURFACE INTEGRAL, GAUSS & STOKES
[ .: on S),
X2
+l
=4
:.
3-95
= 2cosO, Y= 2sinO
X
'>7t
=16} (cos20":'sinJO)3dO
= Zdz dO]
= 48(1t-O) =481t
o
.•.
ds
'
:. IfF. n ds == 0 + 361t + 481t = 841t(2} s , :. From (1) and (2) the Divergence Theorem is verified. Example.3.
-
Use divergence
A'
....
theorem
to evaluate
IfF. s
."'.
Puis .where
'.
F = 3xzi +y- j - 3yz k and S is the surface of the cube bounded by
x = O,.y = 0, Z = 0, x = 1,y = 1, Z = 1 . By divergence theorem, we have,
ffF.~ds= fffV.Fdv s
v
o'}
' 0 = Iffv.axa-(3xz)+-(/)+-(-3yz) ,8y
f
)o)o}o , 1
=
1
1
8z
'
dy dx
o0 2
0
Examples 4.
2
1]1
-:-y2 2
dx
y=o,
I
= f dx
::::1
0
IS F· it ds
over the en/ire surface of the region s abovethe xy-plane bounded by the cone z2 = x2 + / and the plane z = 4 . -
where F=4xzi
Eva/~tate
3z2'
yz z=o dy dx ,
1[3- y -
=f
dv
[]1' = !! 2 11
(3z - y) dz dy dx
, = f11(3 f - - Y,)
'.
;,
2 ~
+xyz j+3zk
~
By Divergence theorem, we have
-
'-
'ffF.nds=fJJ"·Fdv s ,v
-
o() xyz2 =JJJ'{o -(4xz)+v ox ,oy
0 +-(3z) oz
} dv
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3-96
As
ENGINEERING
°
in V, for a particular z ,
:VIATHEMATlCS
z
+ y2 = Z2
X2
-iliA
is a circle of radius z so
we
can
assume
y
runs
independently from -z to z where as r X
=
4
.. Jfi.11 ds= J J s
I,
.,
.
~z--y-
0
J
+3)dxL(rdz
(4z+x/
z=Oy=-z x=-Jz2-/ 4
Z
J J
Jz
2_y2
J(4z + 3)dx dy dz
z=oY=-Zx=_~z2_/
°
= 2j(4Z+3)[Y~i
-
o
i
+_;::2 sin-I
2
2
4
;:;2 J(4z + 3)(Z2 sin -I 1)dz o
~l dz
z
4
= 1t J(4z
+ 3) Z2 dz
0
"[4Z4 3. z3]4 4+-3= 3201t.
= rt
0
JJ(/z2[ +z2x2J+/o/f).nds + yt + Z2 = 1 above the xy-plane
Examples. 5. Evaluate part of the sphere
X2
this plane. By divergence theorem, we have
~ ~~ ~ ~ ~ JI(s y' z"! +z-x-j+z
2
~~)
~
yr k ·nds 0
where S is the and bounded by
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LINE & SURFACE
INTEGRAL,
GAUSS & STOKES
3-97
rr
2"
~
. I
J j f
==2
(rcosS)(r2sin2Ssin2J' z = rcosS,
2(!
2rr
=
) 2"
= 2·~
,
2
"2
!
2
sin $ d$)
f(l0
3
2
s
If;::· n ds , where S is a closed
:=
ox
ffJ{~(x)fu v'
surface.
s theorem,
,v a ~ a fff'( -ia ~+-j +-k
v
1
,
f
JJ r· n ds = JJfV. r dv , =
dO (! r'dr 1
cos2]
'I
sin :cose
,
polar co-ordinate
Oy,'
[ where the volume V is enclosed
~l (~~~) . xi + yj +zk
oz
+~(y)
+
'Oy
~(z)} dv = 3ffJv dv = 3 &
x volume
Examples.7. Prove thatfor any scalar function (x, y, z),
fff V dv =If it ds
v, s Let A be an arbitrary
where
n
constant vector. By divergence
v
s
or,
fff ( A . V )dv = A . If CPAds
or,
"
v: 's
A· ffJ V d~ = A . If A. n ds or, fff (V .A )dv = If A. ;1ds v
by S]
s.
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3-98
ENGINEERING
Since A is arbitrary 'constant vector
JJJ V 4> dv
MATIIEMATICS-IIIA
=
v
Examples. 8. Let S be a closed surface and
If n.~
(i)
ds
51rl
n-r.
= xi +
y} + zk . Prove that
if the origin lies outside the volume enclosed by S,
ds = 41£ if the origin lies inside the VOllUl"X! enclosed by S, '
s r
,
(i)
5
r
'
JI -1_13
(ii)
=0
If 4>11ds .
,
Applying divergence theorem on the function
-
!lfV '1
I rr 1
3
we get
-
;1
3
dv ~
lj 1;13
-h ds
(I)
If the' origin does not lie inside V, enclosed by S. So from (1)
fIn. ~)
ds= JJfodv=O v Here we suppose 0 lies
Ir I
5
(ii)
within the enclosed region. Surround () by
r
small sphere s of radius a..
Let 't be the region lying between Sand s. Applying divergence theorem on the function we ge,t
I
~ 13 over the region
r
I I,
't,
,
fffV. .L:3 co- = ff-'-',3 .nds+ ff-'-'3 .nds, '1
IFI
slFI
slrl
in 2nd integral all RHS, the unit normal vector n on s is towards 0 because this is.outside the region
-
or, 0= or,
t
-
HI ~13 -h ds+ HI ~13 -h s r s r
r ' IJ--\·n
sir I'
ds =
r -fJ--3 ·nds
sir I
ds
[ by case (i) ]
(2)
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LINE & SURFACE INTEGRAL. GAUSS & STOKES
3-99
- r N . ow, V.--
I "Xl'
e[ =.OX
2
(X
] +0 [ Oy
2~
+ Y~ +Z )2 ?
J.
Y
(X
2
]
2
+ Y +z
Z
z
OZ?
2
)2
( 2 + Y 2 + 2)~2 - 2"3 (2 X
0 [ +-
2~
X
2
(X-
1
+ Y + Z-
+y
).!.2 . 2y·
] 2~
+Z )2
Y
+-------~--~----(X2 + y2 + Z2)3
=
o
(2X
+Y
2 +Z 2)3 = 0 +i
provided x2 + / -
So, V· -.
r
1 ~
J_
Irl
. towards 0.·
0 i.e., provided (x. y, z):;t (0, O, 0).
.
3 1
Now, on s,
n = --.
:;t
::::: 0 every where within r . .
.r = OP
r = ~r a
(P is a point on s)
because
on s,
1
rI=
radius of s
= a and
n
IS
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3-100
ENGINEERING
MATIIEl\JATlCS-IlIA
Therefore
r Ads =- ffr-·-rI-ds ffs --·n _13 3 0 r s a
1
-~JJlrI2ds
=-~JJr.rd\·= a
.\
0
I .
. I
2 = --JJ 4 .0
a
S
ds == --ffds 2
s
1
= --
2
S
s
0
.
= --
1 0
2 x surface
area of
2
x 4n:0 =-4n:
o . So. from (2) we get
lj 1;1 n ds = 4n:. 3
.
3.3.7. Stoke's Theorem. Let S be an open surface having the .closed curve C and
~IS
its boundary
F be any vector point function having continuous first order partial
derivatives.
n
= HeLirl
fF:dF
Then
c where
F.nds.
s is a unit normal vector
11
at any point of S drawn in the sense in which a right handed screw would advance when r:otated in the sense of description of C. Let z = f(x, the surface
y)
be the equation of
whose .projection
on the
xv-plane· is R. Also let the projection.
X
of C on the xy-plane be C' enclosing the region R.
F; (x, y, z) dx
Then,
c
= f[F; (x,Y,f)dx+O.~y] C'
= f F; (x, C'
y, J) dx
C'
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LINE & SURFACE INTEGRAL, GAUSS & STOKES
= .
H{~(O)-~F; Ox oy
(x,y,!)}dXdY,bY
R
3-101
Green's theorem in the plane .
.
.
..--ff{OF) oF; Oz} dx dy -+-..
oy.
R
Oz
(1)
oy
Let /1 makes angle
P and
c,
n
respectively. So Projection of
along x-axis
J
:. /1 = coso i+ cosf + cosy written as .=!(x,y)-z=O
_.
y with x-axis,
k.
= In
y-axis
Icosu
=
and z-axis coso; etc.
z =f(x,
The surface
y)
can be
0 ~. 0 ~ 0 ~ Of ~ Of ~ ~ + -:;-k = -:;-i + -j - k is also normal to S C~t oy OZ ox oy
Then '\7 = ,::;-i + -j
II ~ S 0, VA. 't' n.
S
0,.
cosu Of
=
cosp Of
Ox Oz cosf .'.-=--, .Oy cosy
..
Again dx dy .. From ..
or
,
=
[
=
cosy -1
oy ]
.: z=!(x,y)·
projection of ds on the xy-plane
I. rF; (x,y,z)dx=-
fJ(OF; ---._-
C
.8
=
H(OF s oz
oy
cosf -
oF; oy
of)
oz
= cosy ds. COSP) cosyds cosy
COSY)
ds
(2)
Similarly we can prove that
H(O;:2 cosys ox
fF2(x,y,z)dy";
c
.
fF3(x,y,z)dz= c .
E.M.3A-23
..
JJ (OF _3 s
~
8F2 COSU)dS
oz
cosu-_3of COsp) ds fu·
(3)
(4)
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E TGINEERING
3-102
MATi-IEMATICS
-iliA
Adding (2), (3) and (4), we get
f(Fidy; + F2dy+ F3dz)
r:
=
aF3 H[( s 8y
- aF2) az
COSU
.
.+(aFj _ aF3)coSB+(aF2 _ aFi)cosy] az ax ax 8y
ds
f F . dF = JJ (V x .F) . n ds = H curl F . it ds .
c
.
s·
s
. Note. By Stoke's theorem, we can transform the line integral into the surface integral and vice-versa. Illustrative
Examples
Example.1.
Verify Stoke's theorem for
F = (2x - y)i - yz2 J -/zk + z2 = 1 and C is
where S is the upper half surface of the sphere X2 + / its boundary.
[W.B.UT 2006,2012,2016,]
The boundaryC of S is a circle in the xy-plane whose equation X 2, + Y 2 = 1,. z = . .
Z
°
So let-the parametric equation of C be
J--~---_Y
x = cost, y
c
= sin r, z = 0, OS; t S; 21t
x ,
'
= H(2x - y)[ _yz2
.. fF,.dr c
c
;" f[(2x-
J - /zk]
. (dxi + dy] + dzk) ,.
y)dx- yz2dy_ /zdz]
C
=
f(2x - y)dx [.: on C, z = 0, .', dz = 0]
c
'
2it
= 'f(2cOSJ -'sint)( o
-)siot
dt
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LI E & SURFACE INTEGRAL, GAUSS & STOKES
. := 20fJt(-
. 2
SIn . t
+
l-Cos2t)d 2
t
= 1t
:;:;:[COS2; +!..: _ sin2t]2Jt 2 2 4 0
Again' curl
3-103
(1)
~ ~ ~'j
F= ax
2.x-y.
-& =k '.
A
Oy
-yi -/
... II curl F ·.n ds = II curl F· n ct:. ? s
s, h-k [ Where S. is the plane region bounded by the circle C]
.
. ,;, II ( k . n) ~ s,
d!. = JI dx dy
k·n
s,
:;:;:area of S, :;:;: 1t
(2)
. (o:·areaoftheregion :. From (1) and (2), we get
S.:;:;:
area of the circle =1t(1)2]
.~F . di = if curl F . n ds
(' s Hence Stoke's theorem is verified. Examples. 2. Verify Stoke's theorem for
F :;:;:'(x2 + /)I - 2xy J
round the rectangle bounded by the lines x
= ± a,
Here i
curl
F.= -axa x2 +/
k
j
a -
8y
a az
-2xy
0
:;:;:-4yk
y E
~
y=b
B
S
II'x
?
II'
~ y
D
y=o
=
a
X A
y = 0, y = b . [WB.u.rech.2003
taken ]
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ENGINEERING
3-104
n = i ;since S lies on X-Yplane
For the surface S, . curl .
-"lATH Ei\ IATICS -iliA
F . n = -:4 yk .k = -4Y _
b
a
.. fJ curl F . n ds = J J -4y dx dy . .S
y=Ox=-a
b =. -4[']Y2-
(1)
[xJ:o = ~ab2
0
Here C represent the curve DABED· -Now
fF·err
=
f[(X2
+
c
,C
i)i - 2XyJ].[dxi
=f[(x2+/)dx-2xydy] c . = ~[(X2
.
+ /) dx - 2xy dy] +
+ f [(x2 + 8£
i)
+dyJ]
lJ(x
+ i) dx - 2xy dy]
2
dx -2xy dy]+ f [(x2 + /)
.
BD
a
dx -2xy dy]
. b
== fx2dx
[.: on DA,y=O:.
dy=n]+
-~
f(-2ay)dY[':
011
AB,x=a
O'
:. dx
=
0]
-ll
o +f2ay dy [ ': on ED, x = -:a :. dx
=
0]
b ,
"
b.
= J x2dX-0
.
b
= -4aJ
0
b
J2ay dy-
.J (x~ +b2)dx-J2ay
0
-0
0
0
J
y dy'- b2 dx
o =
dy
-4a·-b
-0
I
2
2
2
-b ·2a
=
-4ab
From' (1) and(2), we have
2
(2)
fF·err = II curl F.n
c Hence Stoke's theorem is verified.
S .
ds
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LINE & SURFACE INTEGRAL, GAUSS & STOKES
Exarnples.J. Evaluate
4
F,Qr by Stoke's theorem.
F=/J +x2J -(x+z)k
where'
3-105
and C is the boundary of the triangle with
vertices at (0,0,0),(1,0,0)
and (1,1;0).
y
Here the triangle lies in the xy-plane :.';; = £
. [,
Now, curl F=
Y =
I
j
a -a a m- ay 'azk 2
x 2 -(x+z
0
A(I,O)
X
J + 2(x - y)£
curl P 'n = 2( x - y) , since the triangle is the boundary of the surface S :. By Stoke's theorem
=JJ curl
fF.ar.
c.
F -h ds
,S
,
= Jj2(x00
y)dydx
'
='2J(X2 0
-~ldX 2
C is the
ClIIl'C
ofintersection of
X2
+/ + i
3
0
J (y dx +
Example. 4. Appiy Stoke's theorem to evaluate
,
= 1X2 d. =.!.. Z
dy
+ x dz) where
=a
c 2
and x + z
=
a,.
[WB.U.Tech.200J,20J6
]
Herethe curve C is a circle with the diameter AB where A(a, 0,0), B{o,O~{/). ,
a ,
So, the radius of the circle is
l·f+I·£
J2
.. n=
y
if =n:»
.. J(y C{X +-z dy + x c
= J(yi +zJ +xk).dF c '
J2'
,
dz)
A(a, 0, 0)
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E GI
3-106
. = J curl (y[ + z) + xi.) , Ii ds,
;: sJ - (~i + jA + kA) . (1s
"
+-
:\1AT 11EM ATlCS -llIA
by Stoke's theorem
k)"
.
ds
12 12
.
EERING
.
i A A) 0 [ ': curl ( yi + zj + xk =A
.
ox
!y
fds
:=- ~ v2
.
s
()2
2
.
a·
.
.
~- 12It 12 [': area of the circle bounded
( 12)2 a
by C is
It
Example. 5. By Stoke's Theorem, prove that curl grad = 0 . Let S be any surface, whose boundary is a simple closed curve C. Then by Stoke's theorem, we have
Sf (curl grad $) , ;:,ds ,
=f
grad ' elf
c
We solve the problem by two methods. Now .
grade=dr=
. (8
=
A
8x
~ dx
f grad Hence
.
ay
A
8
az.
A)'(
~.
A
. dxi +dyj+dzk
A)
.
+ ~ dy + 8 dz = d
ox c
8
-i +-j+-k
.
oy
8z
err = f d= 0
[': C is closed curve ]
c
H( curl grad s
:. .curl grad == O.
IP I' + P.2P 11--'2 + , n-1P+ P« ':- 0 1/
1/
)
dy where' P
=
d~ , and PI' P2,
.•.•.•
Pn are functions of x and y.
Since it is a differential equation 'of the first order, its general solutu will contain only one arbitrary constant.
11
In this chapter, we shall discuss three special types of the above equation, in which it is (i)
solvable for p
(ii)
solvable for y
(iii)
solvable for x.
4.3.2. Equations
solvable for p.
Let the eq uation (1) can be put in the form
{p - t. (x,y)} {p - f2(x,y)}
...
{p - t; (x,y)} =
0
which is equivalent to p ~
i.e.,
t, (x,y) = o. P - f2(x,y) = 0, ... P - t; (x.y) = o. : -.t;(x,Y) =0, :
-fi(X,y)=o,
...
(2)
,'d~
-[,,(x,y)=O.
Each of these equations is of first order and first degree and can be solved by the methods discussed previous chapter. Let the solution be .
,
Fl (x.y.c,) = 0, F2(x,y,c2) where c1 ,c2,·
••
= 0, .. ., F"
(x,y,c,.)
=
° .. ,
(3)
,cn are arbitrary constants.
lIenee the general solution of (1) is given by Fl(x,y,c)
F2(x,y,c)
... F,,(x,y,c)
=
°
(4)
where c1 = c2 = .'.. = cn = c, is any arbitrary constant: (We should hav c one 'arbitrary constant because this is a first order differential equation) ,
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E 'GJ!\,EERL
Illustrative
Solution.
X
can be written as (p _ eX) (p _ e -X)
The equation
r.e..
p-
or.
(p - e") = 0 gives dy , dx dy = eidx
vvhich
p-
eX = 0 or
'dy
= eX
+ c1 .
dx
= e-xdx
which on integration
y
gives
=
_e-x + c2
Iknee the general solution of the equation x
(y - eX - c) (y + eExal~lplt' 2.
-
c)
= 0,
The given equation
is an arbitrary
Now
px-2y=O
dy gives -:::_ dx =
= O.
2y x
0 .
gives
w luvh onnucgration
= log c,
lo~y - 210gx
y .. , . -=c x2 1 . ' Y -- C1X2 • ,'. Again py + 3x ..
== 0
gives p
3x ==--
y or. ycly = -3xdx which on integration
gives
y2
3x2
c2
2
2
2'
-=---+y2 +3x2
== c2•
constant.
can be written' as (px - 2y) (py
px - 2y :::0 or- py + 3x :::O.
dy _ 2dx \' x,
C
is
xyp2 + p(3;2 ~ ,2y2) - 6xy
Solve:
i.e.,
or.
0 .
P - e'-X: = 0 gives dy == e-x
,
Solution.
=
e -;x = 0 '
gives y = e"
on integration
or,
+ e-x),+ 1 = O.
p2 - p(e
Solve:
0
111.\
Examples.
ExampleI,
AI
G 1\1ATHE,'\JATICS-
dy , dx
or -=--
3x y
+ 3x)
== ()
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DIFFERENTIAL EQUATIO
OFFIRSTORDER&
HlGHER DEGREE
4-H
Hence the general solution of the equation is (y - ex2) (y2 + 3x2 _ c) =: 0, c is an arbitrary constant.
,
{(dy)2
Example 3.. Solve: xy
.
-)
'.
dx
.
-1
}
= (x
'2
2
dy
- y )-.
dx
Solution. The given equation can be written as xy(p2 -1) or, (xp+ y)(yp-x) =
°
:.
xp + y
= (x'2 _ y2)p.
= 0 ·or yp - x = 0.
Now xp+y=O
gives
dy
x-=-y
dx·
'dy + dx=O y x. which on integration gives or,
logy
+ logx
= loge, dy grves y-~x=O
Againyp-x:;::O
°
dx
or, ydy -xdx = which on integration gives Y2 .
.
c'
X2'
. 2
---=-
2
..
2
.2
22.
Y -x
=.c2•
Hence the general solution of the equation is .(xy - e) (x2
-
y2 + e)
=
0, c is an arbitrary constant.
Example 4. Solve the following differentialequation dy dx x ---=--dx dy y
y [WBUT 2006]
x
. Solution. The given equation can be written as. 1
p--=
X2
p
or,
(P2.':"1)XY
-i xy
.
dy where p=-
= p( x2._ i)
dx
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4-42
E 'GINEERING
or,
p2xy_xy_
or,
(py~x)(px
px2 + py2 =0
+ y)
py-x=O.
=0
or, px+y=O
Now py-x.= p=-
MATIlEM.·\f1CS - lli.\
0 gives
x y
y dy+x dx+t)
or,
which on integration gives
x2.
y2
c1
---=2 '2 ..
y'l. _ X2 -
2 c
1
Again px+y=O
=0 gives
dy + dx =0 y x ..
which on integration gives .. log y+Iog x
= 10gc2
xy -c2'= 0 Thus the required general solution is (Y
2
-x 2 -c ) (xy-c)
=0
where c in an arbitrary constant
EXERCISE-A Solve the following equations :1. . p2 .•. 2py cotx I
d
3. ~21 dYj
12 +xy yd
. \. x..
'
..
=
d x.
y2.
2.
_6y2 =0 .
5. 4y2 p2 +·2pxy. (3x + 1) + 3x3 7. xy (2x +
p3 _ P (x2 + xy + y2) + x2y + xy2 == O.
1{~~)-
y2(~~
r
=
O.
= 2x3
6. p (p
+ y)
= x (x
8; x+yp2=p(1+xy).
+ y).
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DIFFERENTIAL EQUATIONOFFIRSTORDER&
I II. I)'
l'
4-·P
??'J '2.\P-v: p: - 2xy 2 p = 0
'1 I
) J. pI -
IIIGIIER DEGREE
(X
+
2.1' + 1)p3 + (x
2y + 2xy)pZ
-+-
12. (X;l + x }p:l + (X:2 + X - 2xy _ y)p + Y 2 13. X2p2+3xyp+2y2
- 2xyp -
xy
=
=
0
0
=0
ANSWERS l. y fl z cos xj
e
c.
2. (2y-x2-c)(y-ce )(y+x-l-ce- )=0. X
'1')
X
??
.1. (x·y-c)(y-cx-)=O.
4. (2)-x--c)(2y+3x--c)=O.
S. ()'2+x3_C)(y2+~X2_C)=0. . . 2
6. (y--21x:2+C)(Y+X-+-ce- -l)=o.
7. (y2 - X2 - 2c)
X
(3y2. - 4x3
8. (2y - X2 - c) (2x - y2 - c)
= O.
6c)
= o.
-c)(y-c)(XY+Cy+l)=O
) 1. (y - c)(y - x . .
-
~cXeY +ex -C) = 0
9. (y-ceXXY-X2 ltl, (.\"+x