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O X
F O R
D
I B
D
I P L O
M
A
M AT H E M AT I C S
P
R
O
G R
A
M AT H E M AT I C S
C O M PA N I O N
Josip Harcet
Lorraine Heinrichs
Palmira Mariz Seiler
Marlene Torres-Skoumal
M
E
HI GH E R
DI S C R E T E
C O U R S E
M
LE V E L
:
3
Great
Clarendon
Oxford
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A
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What constitutes misconduct?
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at
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v
Contents
Chapter
1
Making
A
Introduction
1.1
Number
1.2
Integers,
brief
systems
prime
Diophantus
Linear
Prime
1.3
Strong
1.4
The
of
different
number
systems
2
factors
and
13
divisors
20
21
equations
26
30
induction
Theorem
of
Arithmetic
and
33
multiples
37
Modular
From
Congr uence
2.2
Modular
2.3
The
Pigeonhole
2.4
The
Chinese
2.5
Using
ari thmetic
Gauss
modulo
inverses
to
and
i ts
applications
40
41
cr yptography
42
n
and
linear
48
congr uences
53
Principle
Remainder
Theorem
or
systems
of
57
congr uences
cycles
for
powers
modulo
n
and
Fermat’s
Little
Theorem
3
Recursive
patterns
Modelling
Introduction
and
Recurrence
relations
3.2
Solution
first-degree
3.3
Modelling
of
applications
to
Financial
and
sequences
recurrence
relations
and
constant
83
recurrence
relations
90
91
interest
92
problems
homogeneous
coefficients
89
89
compound
linear
77
and
problems
first-degree
probability
Second-degree
exercise
using
amor tizations
Investments
with
problems
problems
and
Games
solving
linear
counting
with
76
78
3.1
Loans
64
72
exercise
Chapter
3
4
bases
numbers
2.1
Review
through
2
Alexandria
mathematical
common
linear
vi
and
numbers,
Diophantine
Introduction
3.4
numbers
exercise
Chapter
Review
of
jour ney
Fundamental
least
Review
sense
recurrence
relations
94
99
Chapter
4
From
Terminology
What
4.2
puzzles
Introduction
Introduction
4.1
folk
is
a
and
Weighted
Directed
Simple
of
a
graph
classification
graph
Classification
to
to
and
what
new
of
mathematics
104
graphs
its
104
elements?
108
graphs
108
graphs
109
graphs
109
graphs
Connected
110
graphs
111
Trees
Complete
Bipar tite
4.3
Different
4.4
Planar
same
115
graph
119
of
relation
life
Hamiltonian
Eulerian
119
graphs
for
planar
application
4.6
–
120
graphs
The
soccer
124
ball
126
cycles
circuits
and
129
trails
133
exercise
Chapter
5
Applications
Fur ther
Introduction
Graph
Shor test
Chinese
5.3
Travelling
The
of
exercise
141
Dijkstra’s
142
142
Problems
Dijkstra’s
146
147
Postman
149
151
algorithm
153
Problem
Neighbour
ver tex
148
Algorithm
problem
Salesman
Nearest
Deleted
methods
and
and
140
Problems
postman
Chinese
Theory
Algorithm
Limitation
5.2
Graph
Kr uskal’s
Connector
Path
Dijkstra’s
of
algorithms
algorithms:
Minimum
Review
the
trees
4.5
5.1
of
118
Complements
Review
113
representations
Spanning
Real
112
graphs
graphs
graphs
Euler
102
103
theor y
of
are
branch
Algorithm
algorithm
for
lower
for
upper
bound
bound
154
155
160
Answers
165
Index
177
vii
Making
1
CHAPTER
numbers
OBJECTIVES:
10.1
Strong
10.2
Division
induction.
gcd(a,
and
b),
Euclidean
and
the
10.3
Linear
10.5
Representation
Before
of
sense
least
Diophantine
you
algorithms.
of
common
equations
integers
greatest
multiple,
ax
in
The
+
by
=
different
common
lcm(a,
b),
of
divisor ,
integers
a
and
b
c
bases.
start
3
1
Prove
statements
directly
by
factorization,
1
a
Show
that
n
2
e.g.
n
+
9n
+
20
+
n
−
n
is
divisible
by
6
−
n
is
divisible
by
30
+
is
an
even
number
for
all
for
all
n
∈ Z
2
∈ Z
since
n
+
9n
+
20
≡
(n
+
4)(n
+
5) 5
b
which
is
a
product
of
two
Show
that
n
consecutive +
for numbers.
For
any
two
consecutive
all
n
∈ Z
integers,
2
one
is
of
the
them
product
positive
must
Prove
of
integer
an
e.g.
even,
odd
making
statements
induction,
be
and
it
using
Prove
and n
an
+
9n
+
20
even
even.
mathematical
the
2
a
statement
Prove
the
question
two
1
statements
using
the
in
principle
of
n
i
:
P
n
n 1
i (2
)
2
(n
1)
mathematical
induction.
2
i 1
b
Proof:
When
n
=
Using
the
principle
of
mathematical
1, induction
prove
that
1
LHS
=
1
×
2
=
2,
RHS
=
2
+
0
=
2. n
n (n
Therefore
P
is
tr ue.
1
Assume
that
P
is
tr ue
for
some
k
≥
1)( 2
i 1
1.
k k
i
i.e.
i (2
k 1
)
2
(k
1)
2
i 1
When
n
=
k
+
1,
k 1
i
k 1
i (2
)
2
(k
1)
2
k 1
(k
)
i 1
k+1
=
2
+
2
k+1
(k
−
1
+
k
+
1)
=
2
+
2k (2
)
k+2
=
2
⇒
+
k
P
×
is
2
tr ue.
k+1
Since
P
is
tr ue
and
it
was
shown
that
if
P
1
is
tr ue
k
then
P
is
also
tr ue,
it
follows
by
k+1
the
principle
of
mathematical
induction
that
P
is
true
for
all n
n
2
Making
sense
of
numbers
1 ,
n
.
Q.E.D .
i (i
2)
1)( 2n
6
7)
A
brief
One
journey
would
numbers
that
because
tribal
have
people
difficulty
to
number
in
the
is
think
limited,
what
we
makes
Throughout
track
base
dates
and
of
60
they
had
are
are
all
a
Here
the
not
to
much
However,
to
have
count.
a
lear n
the
number
ver y
the
skill
quantity
different
to
4.
from
although
how
good
However,
developed
beyond
not
able
people
The
3100
them
beings
ability
have
dierent
our
count
systems
sense
studies
of
show
counting
When
other
it
comes
species
number
and
of
sense
this
is
different.
back
allowing
are
our
who
histor y
to
human
kingdom.
us
far
back
of
we
quantity .
as
that
discer ning
sense
animal
through
as
devised
Mesopotamians
3400
BC.
The
special
to
have
and
up
the
Egyptians
symbol
count
Egyptian
BC
to
for
one
symbols
the
systems
had
a
aid
number
Egyptian
used
to
base
different
keeping
system
number
10
in
their
powers
using
system
of
system
10,
million.
for
the
powers
of
ten
from
10
to
one
million.
10
In
100
Europe,
system.
was
1000
Roman
One
of
developed
the
10 000
100 000
numbers
most
around
were
ancient
400
AD,
used
1
million
before
systems
is
our
the
appoximately
current
Mayan
1000
number
system
years
ahead
which
of
Chapter
1
3
European
The
counter par ts.
picture
1
below
4
But
as
it
a
6
was
in
used
The
some
numbers,
Rules
of
debt
A
for tune
the
which
about
Until
made
and
base
in
their
in
the
was
20
first
then,
wester n
arithmetic
with
came
system.
Mayan
system.
23
introduced
revolutionized
Brahmagupta
operations
numbers
20
numbers
zero
zero
indirectly
later.
mathematician
rules
the
17
number
and
centuries
negative
minus
zero
minus
minus
debt
that
used
of
ver y
wester n
arithmetic
cumbersome.
up
positive
zero.
Brahmagupta
A
Zero
some
11
number
numerals
Indian
with
A
India
many
Roman
Mayans
9
conceptual
arithmetic
The
illustrates
zero
is
is
subtracted
of
a
zero
a
debt.
is
for tune.
zero.
from
zero
a
zero
is
multiplied
a
for tune.
The
product
The
product
of
zero
by
The
product
or
quotient
of
two
for tunes
The
product
or
quotient
of
two
debts
The
product
or
quotient
of
a
debt
The
product
or
quotient
of
a
for tune
multiplied
a
by
debt
zero
or
is
is
and
for tune
is
one
one
a
is
zero.
zero.
for tune.
for tune.
for tune
and
a
debt
is
a
debt.
is
a
debt.
Investigation
Work
34
×
out
11
What
Does
do
by
Repeat
discrete
focus
will
23
from
make
your
or
be
above
for
we
to
29
results?
×
11
Work
out
some
more
products
with
the
product
numbers,
4
par ticularly
the
always
and
are
that
of
three-digit
numbers
by
111
and
explain
your
bases
interested
that
var y
belong
at
different
number
base
to
another,
as
Making
sense
of
well
bases
to
only
in
values
continuously .
the
as
numbers
integers
and
doing
lear n
some
and
11?
works.
multiplication
positive
look
two-digit
etc...?
integers ,
that
var y
Hence,
and
the
subsets
+
thereof,
of
conjecture.
values
variables
11
five-digit
systems
opposed
on
a
conjecture
mathematics
as
×
your
work
four-digit
Number
discretely ,
and
steps
products:
11
notice
11
why
the
×
conjecture
about
Explain
In
you
your
What
following
71
numbers
1.1
the
.
In
how
this
to
section
conver t
elementar y
you
from
arithmetic.
will
one
results.
Since
the
of
a
ver y
digits
a
0
number
depends
This
is
on
age
based
4
it
a
placed
the
table
2
coefficients
of
that
can
=
2
×
+
3
4
i.e.
f
We
(x)
are
=
+
by
toes
used
and
–
only
toes.
four’
–
in
In
inter nal
the
The
a
the
the
10
as
between
×
⇒
of
of
the
a
0
polynomial
and
9
as
a
digit
number.
+
4
×
in
10
with
follows:
1
10
ve
in
is
a
0
10
+
7
×
10
for
a
toe.
20
of
for
4
toes.
the
(base
processing
system,
and
as
foot
4’
The
from
can
ngers
the
foot
number
19.
2),
for
system
of
and
three’
‘rst
the
(base
binar y
used
hand
as
be
systems
that
was
Egyptians
also
directly
output
locations
calculations
ngers
ngers
would
binar y
number
all
‘second
three
translate
and
our
whereas
Greenlanders
use
data.
do
fingers.
system,
‘second
input
storage
10
translates
would
often
mathematics
Mayan
hand
16)
of
the
10
Native
rst
So
we
have
number
electronics
representing
memor y
we
eight
the
that
base
In
system.
Greenlandic
digital
the
system
base
word
and
23 047
because
10
hexadecimal
for
=
reason
or
ngers
in
(10)
this
nger
14
and
f
the
base
ngers
and
and
7
Greenlandic
and
useful
components
0
using
resulting
systems
8)
+
to
number
all
storage
especially
10
2
+
probably ,
hence
count
meaning
(base
value
representation
base
values
4x
means
used,
fact
you
hand.
in
civilizations
Latin
were
Computer
octal
+
Most
ngers,
meaning
second
3x
many
Digitus
the
value
7
10
accustomed
mechanically .
adopted
where
with
the
3
2x
so
×
system
0
3
10
10
understand
10
number
take
base
to
below .
4
4
23 047
the
the
how
system
1
this
using
taught
in
10
0
think
been
were
decimal
10
3
can
have
Y ou
is
in
3
10
2
you
9.
on
where
illustrated
10
We
early
through
is
computer
be
in
only
Base
one
of
two
states,
on
or
off.
This
system
uses
only
two
either
1
and
0.
The
table
below
illustrates
an
example
of
how
ten
is
called
digits:
to
decimal
or
understand denar y.
the
value
4
of
a
binar y
3
2
2
2
1
1
2
0
Once
number
more
we
2
1
can
denar y .
0
2
0
in
1
think
of
the
number
as
a
polynomial
in
2
2 ×
with
coefficients
that
can
4
10 011
=
1
×
=
16
=
19
take
values
3
2
+
0
×
2
0
or
2
+
0
×
2
1
as
follows:
1
+
1
×
2
0
+
1
×
2
2
1
+
2
+
1
10
In
the
as
synthetic
core
number
in
book
we
introduced
division.
base
The
table
Hor ner’s
also
algorithm,
helps
us
to
also
calculate
known
the
10.
Chapter
1
5
Denition
A
positive
integer
N
in
base
b
notation
is
represented
by
+
N
=
(d
d
n
The
d
n−1
value
...
d
n−2
of
d
1
N
in
)
0
=
d
×
b
+
d
×
hexadecimal
=
d
is
a
×
b
∈
+
≤
d
+
system
N
in
d
×