For each of the following vectors x, find a rotation matrix R such that Rx = _x_2e1: (a) x = (1, 1)T (b) x = ( 3,1)T (c) x = (4, 3)T
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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 7.5 Problem 15
Question
Let A = Q1R1 = Q2R2, where Q1 and Q2 are orthogonal and R1 and R2 are both upper triangular and nonsingular. (a) Show that QT 1 Q2 is diagonal. (b) How do R1 and R2 compare? Explain. 1
Solution
The first step in solving 7.5 problem number 15 trying to solve the problem we have to refer to the textbook question: Let A = Q1R1 = Q2R2, where Q1 and Q2 are orthogonal and R1 and R2 are both upper triangular and nonsingular. (a) Show that QT 1 Q2 is diagonal. (b) How do R1 and R2 compare? Explain. 1
From the textbook chapter Orthogonal Transformations you will find a few key concepts needed to solve this.
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full solution
Title
Linear Algebra with Applications 8
Author
Steve Leon
ISBN
9780136009290