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LINEAR ALGEBRA

AND

APPLIED MATRIX THEORY

 

 

by

R.K.S. Rathore

(Ph.D.: I.I.T. Delhi, D.Sc.: Delft University, The Netherlands)

Professor, Department of Mathematics

Indian Institute of Technology, Kanpur

Kanpur – 208016 (UP) India

rksr@iitk.ac.in

 

 

 

 

 

 

 

 

 


Lecture Notes in Mathematics

© R.K.S. Rathore, 609, I.I.T. Kanpur

 

Contents

Chapter 1 Fields

 Links

 1

1.

Groups

 

PROBLEMS

2.

Permutation Groups

 

PROBLEMS

3.

Rings

 

PROBLEMS

4.

Fields

 

PROBLEMS

5.

Vector Spaces and Algebras over a Field

 

PROBLEMS

6.

Polynomials over a Field

 

PROBLEMS

7.

The Division Algorithm

 

PROBLEMS

8.

HCF of Polynomials

 

PROBLEMS

9.

Prime Factorization of Polynomials

 

PROBLEMS

10.

Extension of Fields

 

PROBLEMS

 

 

Chapter 2 Matrix Theory

 Links

 1, 2, 3

1.

Matrices

 

PROBLEMS

2.

Matrix Addition

 

PROBLEMS

3.

Matrix Multiplication

 

PROBLEMS

4.

Scalar Multiplication

 

PROBLEMS

5.

Block-Partitioned Matrices and Block Operations

 

PROBLEMS

6.

Vector Spaces of Matrices

 

PROBLEMS

7.

The Standard Inner Product in R n and C n

 

PROBLEMS

8.

Linear Independence of Matrices

 

PROBLEMS

9.

Some Standard Matrices

 

PROBLEMS

10.

Elementary Row and Column Operations

 

PROBLEMS

11.

Row-Reduced Echelon Form

 

PROBLEMS

12.

Determinant of a Square Matrix

 

PROBLEMS

13.

Properties of the Determinant Function

 

PROBLEMS

14.

Cofactor Expansion

 

PROBLEMS

15.

Rank of a Matrix

 

PROBLEMS

16.

The System of Linear Equations: Ax = b

 

PROBLEMS

17.

Eigenvalues and Eigenvectors

18.

Companion Matrices and Characteristic Polynomial

19.

Method of Danilevsky for Characteristic Polynomial

 

PROBLEMS

20.

Matrices with a Full-Set of Eigenvectors

 

PROBLEMS

21.

The Cayley-Hamilton Theorem

 

PROBLEMS

22.

Triangulization and Unitary Diagonalization of a Matrix

23.

Schur’s Lemma and the Spectral Theorem

 

PROBLEMS

24.

The Equation: AX-XB = C

 

PROBLEMS

25.

Circulants and the Discrete Fourier Transform (DFT)

 

PROBLEMS

26.

DFT of a Vector Signal and Solution of a Circulant System

 

PROBLEMS

27

l -Matrices and Similarity

 

PROBLEMS

28.

Elementary Transformations on l -Matrices

 

PROBLEMS

 

 

Chapter 3 Canonical Factorizations

 Links

 1

1.

Row-Reduced Echelon Form

2.

Hermite Canonical Form

3.

Rank Factorization

4.

Rank Factorization (Rectangular Form)

5.

Rank Factorization (Left Invertible and Right Unitary)

6.

Triangular Reduction

7.

Conjugate Diagonal Reduction of Hermitian Matrices

8.

Triangular Reduction by a Unitary Matrix

9.

QR-Decomposition

10.

Gram-Schmidt Triangular Reduction

11.

Simultaneous Reduction of Positive Definite A and Hermitian B

12.

Non-Singular LU-Decomposition

 

PROBLEMS

13.

Cholesky LL* -Decompostion

 

PROBLEMS

14.

Singular Value Decomposition

 

PROBLEMS

15.

Polar Decomposition

 

PROBLEMS

16.

When do the Polar Factors Commute?

17.

Unicity of Polar Decomposition

18.

Equivalence of Polar Decomposition and SVD

19.

To Rotate a Vector in the Direction of another Vector

20.

Tridiagonalizing a Hermitian Matrix by Householder Reflections (in n-2 steps)

21.

QR-Algorithm for Hessenberg Matrices

 

 

Chapter 4 Vector Spaces

 Links

 1, 2, 3, 4

1.

Vector Space over a Field

 

PROBLEMS

2.

Linear Independence of Vectors

 

PROBLEMS

3.

Bases in a Vector Space

 

PROBLEMS

4.

Dimension of a Vector Space

 

PROBLEMS

5.

Direct Sum Decomposition of a Vector Space

 

PROBLEMS

6.

Linear Transformations (Operators)

 

PROBLEMS

7.

Change of Bases

 

PROBLEMS

8.

Jordan Canonical Form

 

PROBLEMS

9.

Rank of a Linear Transformation

 

PROBLEMS

10.

Linear Functionals

 

PROBLEMS

11.

The Transpose of a Linear Transformation

 

PROBLEMS

12.

Invariant Subspaces and Direct Sum of Operators

 

PROBLEMS

13.

Norms on Finite Dimensional Real or Complex Vector Spaces

 

PROBLEMS

14.

The Hölder and Minkowski’s Inequalities

15.

Equivalence of Norms on Finite Dimensional Spaces

16.

Matrix Norms

 

PROBLEMS

17.

Inner Product Spaces

 

PROBLEMS

18.

Norm Induced by an Inner Product

 

PROBLEMS

19.

Orthogonality in Inner Product Spaces

 

PROBLEMS

20.

The Angle Between Two Vectors

 

PROBLEMS

21.

Gram-Schmidt Orthonormalization Procedure

 

PROBLEMS

22.

Projections and Orthogonal Projections

 

PROBLEMS

23.

The Kaczmarz Method

24.

The Method of Residual Projections

 

 

Chapter 5 Second Order Forms

 Links

1

1.

Bilinear and Multilinear Expressions on Product Spaces

 

PROBLEMS

2.

Bilinear Forms on a Vector Space

 

PROBLEMS

3.

Symmetric and Skew-Symmetric Bilinear Forms

 

PROBLEMS

4.

Quadratic Forms

 

PROBLEMS

5.

Sesqi-Linear and Hermitian Forms

 

PROBLEMS

6.

Characterization of a Positive Definite Matrix

 

PROBLEMS

 

 

Chapter 6 Simultaneous Triangulization and Diagonalization

 Links

 1

1.

Characteristic and Minimal Polynomials

 

PROBLEMS

2.

T-Invariant Subspaces and T-Conductors

 

PROBLEMS

3.

Triangulization and Diagonalization

 

PROBLEMS

4.

Simultaneous Triangulization and Diagonalization

 

PROBLEMS

5.

Simultaneous Diagonalization

 

PROBLEMS

 

 

Chapter 7 The Primary and The Cyclic Decomposition Theorems

 Links

 1

1.

The Primary Decomposition Theorem

 

PROBLEMS

2.

T-Cyclic Subspaces and Vectors

 

PROBLEMS

3.

The Cyclic Decomposition Theorem

 

PROBLEMS

4.

The Rational Form

 

PROBLEMS

5.

The Invariant Factors

 

PROBLEMS

6.

The Jordan Canonical Form

 

PROBLEMS

7.

A Rank Based Determination of the Jordan Canonical Form

 

PROBLEMS

 

 

Chapter 8 Generalized Inverses

 Links

 1

1.

Definition of a g-Inverse

 

PROBLEMS

2.

Reflexive g-Inverse A-r

 

PROBLEMS

3.

Least-Squares g-Inverse A-r

 

PROBLEMS

4.

Minimum Norm g-Inverse A-m

 

PROBLEMS

5.

Moore-Penrose Inverse A+

 

PROBLEMS

 

 

Chapter 9 Courant-Fischer Min-Max Theorems

 Links

 1

1.

A Variational Characterization of Eigen Values

2.

Given’s Method for a Hermitian Matrix

3.

Eigenvalues of a Tridiagonal Hermitian Matrix

 

 

Chapter 10 Inequalities in Matrix Theory

 Links

 1

1.

The Volume of an m-Dimensional Parallelepiped

2.

Change of Variables in Multiple Integrals

3.

Surface and Volume of a Hyper-Sphere

4.

Volume of an n-Dimensional Ellipsoid

5.

Principal Semi-Axes of a Section of an Ellipsoid

6.

Application of Poincaré Separation Theorem to Ellipsoids

 

 

Chapter 11 Perron-Frobenius Theory of Non-Negative Matrices

 Links

 1

1.

Non-Negative Matrices and Vectors

 

PROBLEMS

2.

Perron’s Theorem on Positive Matrices

 

PROBLEMS

3.

Irreducible Matrices and Directed Graphs

 

PROBLEMS

4.

The Perron-Frobenius Theorem

 

PROBLEMS

5.

The Structure of Cyclic Matrices

 

PROBLEMS

 

 

Chapter 12 Stability of a Matrix

 Links

 1

 

PROBLEMS

1.

Lyapunov’s Stability Theorem

 

PROBLEMS

2.

Equivalent Formulations of Sylvester’s Inertia Theorem

 

PROBLEMS

3.

Some Equivalent Criteria of Stability

 

 

 

 

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