Algebra 2 -1 - Let A 1 2 -1 -1 -1 2 The characteristic polynomial of...
Algebra 2 -1 - Let A 1 2 -1 -1 -1 2 The characteristic polynomial of A is X(A - 3)2. (a) Find the eigenspaces of A and verify that the dimension of each eigenspace is equal to the multiplicity of the corresponding eigen value (b) Write down a matrix P that orthogonally diagonalises A You must show all your working Algebra 2 -1 - Let A 1 2 -1 -1 -1 2 The characteristic polynomial of A is X(A...
1 Compute and completely factor the characteristic polynomial of the following matrix: 0 A= -4 5 0 1 1 For credit, you have to factor the polynomial and show work for each step. B In the following, use complex numbers if necessary. For each of the following matrices: • compute the characteristic polynomial; • list all the eigenvalues (possibly complex) with their algebraic multiplicity; • for each eigenvalue, find a basis (possibly complex) of the corresponding eigenspace, and write the...
Consider the following A= 0-51 0 0 6 (a) Compute the characteristic polynomial of A det(A - Ar)0 (b) Compute the eigenvalues and bases of the corresponding eigenspaces of A. (Repeated eigenvalues should be entered repeatedly with the same eigenspaces.) has eigenspace span (smallest A-value) has eigenspace span has eigenspace span (largest A-value) (c) Compute the algebraic and geometric multiplicity of each eigenvalue 1 has algebraic multiplicity i2 has algebraic multiplicity 3 has algebraic multiplicity X and geometric multiplicity 1...
Let A be an n x n matrix. Then we know the following facts: 1) IfR" has a basis of eigenvectors corresponding to the matrix A, then we can factor the matrix as A = PDP-1 2) If ) is an eigenvalue with algebraic multiplicity equal to k > 1, then the dimension of the A-eigenspace is less than or equal to k. Then if the n x n matrix A has n distinct eigenvalues it can always be factored...
o-point Point 43003 Consider the following (a) Compute the characteristic polynomial of A det(A - - (b) Compute the eigenvalues and bases of the corresponding eigenspaces of A. (Repeated eigenvalues should be entered repeatedly with the same eigenspaces.) has eigenspace span (smallest value) has eigenspace span has eigenspace span (largest A-value) (c) Compute the algebraic and geometric multiplicity of each eigenvalue. à has algebraic multiplicity and geometric multiplicity 2, has algebraic multiplicity and geometric multiplicity 2, has algebraic multiplicity and...
3. (a) For the following matrix A, compute the characteristic polynomial C(A) = det(A ?): A-1 1 (b) Find all eigenvalues of A, using the following additional information: This miatrix has exactly 2 eigenvalues. We denote these ??,A2, where ?1 < ?2. . Each Xi is an integer, and satisfies-2 < ?? 2. (c) Given an eigenvalue ?? of A, we define the corresponding eigenspace to be the nullspace of A-?,I; note that this consists of all eigenvectors corresponding to...
LINEAR ALGEBRA What are the eigenvalues of the matrix 2-31 1 -2 1 What is the characteristic polynomial of this matrix? (That is, the polynomial you use to find the eigenvalues). 1-32 p() = -13 +212 -1. op() = X(4-1)(-2) op() = 12 + 1 OPW) = 12 -2X + 1. Let M = 2-31 1 -2 1 1-32 (this is the same as the previous problem). Find the eigenvalues of M (they are not listed according to multiplicity). Let...
1. Consider the matrix (a) Find the characteristic polynomial and eigenvalues of A (b) Find a basis for the eigenspace corresponding to each eigenvalue of A. (c) Find a diagonalization of A. That is, find an invertible matrix P and a diagonal matrix such that A - POP! (d) Use your diagonalization of A to compute A'. Simplify your answer.
4 0 5 A 6-1 6 L5 0 4 (a) Compute the characteristic polynomial of A. det(A - A) - (b) Compute the eigenvalues and bases of the corresponding eigenspaces of A. (Repeated eigenvalues should be entered repeatedly with the same eigenspaces.) λι ] has eigenspace span "L (smallest λ-value) has eigenspace span has eigenspace span (largest λ-value)
5. Consider the matrix A-1-6-7-3 Hint: The characteristic polynomial of A is p(λ ) =-(-2)0+ 1)2. (a) Find the eigenvalues of A and bases for the corresponding eigenspaces. (b) Determine the geometric and algebraic multiplicities of each eigenvalue and whether A is diagonalizable or not. If it is, give a diagonal matrix D and an invertible matrix S such that A-SDS-1. If it's not, say why not.