Consider the following. A = 1 0 0 661 9 0 1 List the eigenvalues of A and bases of the corresponding eigenspaces. (Repeated eigenvalues should be entered repeatedly with the same eigenspaces.) smallest -value has eigenspace span 12= has eigenspace span largest λ-value 13 = has eigenspace span Determine whether A is diagonalizable. Yes ○ No Find an invertible matrix P and a diagonal matrix D such that P-1 AP = D. (Enter each matrix in the form [[row 1], [row 2], ...], where each row is a comma-separated list. If A is not diagonalizable, enter NO SOLUTION.) (D, P) =
Consider the following. A = 1 0 0 661 9 0 1 List the eigenvalues of A and bases of the corresponding eigenspaces. (Repeated eigenvalues should be entered repeatedly with the same eigenspaces.) smallest -value has eigenspace span 12= has eigenspace span largest λ-value 13 = has eigenspace span Determine whether A is diagonalizable. Yes ○ No Find an invertible matrix P and a diagonal matrix D such that P-1 AP = D. (Enter each matrix in the form [[row 1], [row 2], ...], where each row is a comma-separated list. If A is not diagonalizable, enter NO SOLUTION.) (D, P) =
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.1: Introduction To Eigenvalues And Eigenvectors
Problem 35EQ
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