Which of the subsets of Pi given in Exercises 1 through 5 are subspaces of P2? Find a basis for those that are subspaces.
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Table of Contents
1
Linear Equations
1.1
Introduction to Linear Systems
1.2
Matrices, Vectors, and Gauss-Jordan Elimination
1.3
On the Solutions of Linear Systems; Matrix Algebra
2
Linear Transformations
2.1
Introduction to Linear Transformations and Their Inverses
2.2
Linear Transformations in Geometry
2.3
Matrix Products
2.4
The Inverse of a Linear Transformation
3.1
Image and Kernel of a Linear Transformation
3.2
Subspaces of R"; Bases and Linear Independence
3.3
The Dimension of a Subspace of R"
3.4
Coordinates
4
Linear Spaces
4.1
Introduction to Linear Spaces
4.2
Linear Transformations and Isomorphisms
4.3
Th e Matrix of a Linear Transformation
5
Orthogonality and Least Squares
5.1
Orthogonal Projections and Orthonormal Bases
5.2
Gram-Schmidt Process and QR Factorization
5.3
Orthogonal Transformations and Orthogonal Matrices
5.4
Least Squares and Data Fitting
5.5
Inner Product Spaces
6
Determinants
6.1
Introduction to Determinants
6.2
Properties of the Determinant
6.3
Geometrical Interpretations of the Determinant; Cramers Rule
7
Eigenvalues and Eigenvectors
7.1
Dynamical Systems and Eigenvectors: An Introductory Example
7.2
Finding the Eigenvalues of a Matrix
7.3
Finding the Eigenvectors of a Matrix
7.4
Diagonalization
7.5
Complex Eigenvalues
7.6
Stability
8
Symmetric Matrices and Quadratic Forms
8.1
Symmetric Matrices
8.2
Quadratic Forms
8.3
Singular Values
9.1
An Introduction to Continuous Dynamical Systems
9.2
The Complex Case: Eulers Formula
9.3
Linear Differential Operators and Linear Differential Equations
Textbook Solutions for Linear Algebra with Applications
Chapter 4.1 Problem 44
Question
If matrix A represents the orthogonal projection onto a plane V in R3, what is the dimension of the space of all matrices S such thatAS = S1 0 1 0 0 0 0 0 0See Exercise 43.
Solution
Step 1 of 4
The matrix satisfies that
.
Where is the orthogonal projection on a plane
in
.
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full solution
Title
Linear Algebra with Applications 4
Author
Otto Bretscher
ISBN
9780136009269