Table of contents : Contents Preface Chapter 1 Vectors and Matrices 1 Vectors in Rn 2 Dot Product 3 Subspaces of Rn 4 Linear Transformations and Matric Algebra 5 Introduction to Determinants and the Cross Product Chapter 2 Functions, Limits, And Continuity 1 Scalar and Vector Valued Functions 1.1 Parametrized Curves 1.2 Scalar Functions of Several Variables 1.3 Vector Functions of Several Variables 2 A Bit of Topology in Rn 3 Limits and Continuity Chapter 3 The Derivative 1 Partial Derivatives and Directional Derivatives 2 Differentiability 3 Differentiation Rules 4 The Gradient 5 Curves 6 Higher Order Partial Derivatives Chapter 4 Implicit and Explicit Solutions of Linear Systems 1 Gaussian Elimination and the Theory of Linear Systems 2 Elementary Matrices and Calculating Inverse Matrices 3 Linear Independence, Basis, And Dimension 3.1 Abstract Vector Spaces 4 The Four Fundamental Subspaces 5 The Nonlinear Case: Introduction to Manifolds Chapter 5 Extremum Problems 1 Compactness and the Maximum Value Theorem 2 Maximum/Minimum Problems 3 Quadratic Forms and the Second Derivative Test 4 Lagrange Multipliers 5 Projections, Least Squares, and Inner Product Spaces Chapter 6 Solving Nonlinear Problems 1 The Contraction Mapping Principle 2 The Inverse and Implicit Function Theorems 3 Manifolds Revisited Chapter 7 Integration 1 Multiple Integrals 2 Iterated Integrals and Fubini's Theorem 3 Polar, Cylindrical, and Spherical Coordinates 4 Physical Applications 5 Determinants and n-Dimensional Volume 6 Change of Variables Theorem Chapter 8 Differential Forms and Integration on Manifolds 1 Motivation 2 Differential Forms 2.1 The Multilinear Setup 2.2 Differential Forms on Rn and the Exterior Derivative 2.3 Pullback 3 Line Integrals and Green's Theorem 3.1 The Fundamental Theorem of Calculus for Line Integrals 3.2 Finding a Potential Function 3.3 Green's Theorem 4 Surface Integrals and Flux 4.1 Oriented Surfaces in R3 and Flux 4.2 Surface Area 5 Stoke's Theorem 5.1 Integrating over a General Compact, Oriented k-Dimensional Manifold 5.2 Stoke's Theorem 6 Applications to Physics 6.1 The Dictionary in R3 6.2 Gauss's Law 6.3 Maxwell's Equations 7 Applications to Topology Chapter 9 Eigenvalues, Eigenvectors, and Applications 1 Linear Transformations and Change of Basis 2 Eigenvalues, Eigenvectors, and Diagonalizability 2.1 The Characteristic Polynomial 2.2 Diagonalizability 3 Difference Equations and Ordinary Differential Equations 3.1 Differential Equations 3.2 Systems of Differential Equations 3.3 Flows and the Divergence Theorem 4 The Spectral Theorem 4.1 Conics and Quadric Surfaces Glossary Answers 1 2 3 4 5 6 7 8 9 Index