Explain why each of the following algebraic rules will not work in general when the real numbers a and b are replaced by n n matrices A and B. (a) (a + b) 2 = a2 + 2ab + b2 (b) (a + b)(a b) = a2 b2
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Table of Contents
1
Matrices and Systems of Equations
1.1
Systems of Linear Equations
1.2
Row Echelon Form
1.3
Matrix Arithmetic
1.4
Matrix Algebra
1.5
Elementary Matrices
1.6
Partitioned Matrices
2
Determinants
2.1
The Determinant of a Matrix
2.2
Properties of Determinants
2.3
Additional Topics and Applications
3
Vector Spaces
3.1
Definition and Examples
3.2
Subspaces
3.3
Linear Independence
3.4
Basis and Dimension
3.5
Change of Basis
3.6
Row Space and Column Space
4
Linear Transformations
4.1
Definition and Examples
4.2
Matrix Representations of Linear Transformations
4.3
Similarity
5
Orthogonality
5.1
The Scalar Product in Rn
5.2
Orthogonal Subspaces
5.3
Least Squares Problems
5.4
Inner Product Spaces
5.5
Orthonormal Sets
5.6
The GramSchmidt Orthogonalization Process
5.7
Orthogonal Polynomials
6
Eigenvalues
6.1
Eigenvalues and Eigenvectors
6.2
Systems of Linear Differential Equations
6.3
Diagonalization
6.4
Hermitian Matrices
6.5
The Singular Value Decomposition
6.6
Quadratic Forms
6.7
Positive Definite Matrices
6.8
Nonnegative Matrices
7
Numerical Linear Algebra
7.1
Floating-Point Numbers
7.2
Gaussian Elimination
7.3
Pivoting Strategies
7.4
Matrix Norms and Condition Numbers
7.5
Orthogonal Transformations
7.6
The Eigenvalue Problem
7.7
Least Squares Problems
Textbook Solutions for Linear Algebra with Applications
Chapter 1.4 Problem 12
Question
Let A = a11 a12 a21 a22 Show that if d = a11a22 a21a12 = 0, then A1 = 1 d a22 a12 a21 a11
Solution
Given A = a11 a12 a21 a22
We have, d = a1
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full solution
full solution
Title
Linear Algebra with Applications 9
Author
Steven J. Leon
ISBN
9780321962218