[1 2 3 4 5 2 4 6 8 10 2. Let A= 3 6 9 12 15 4 8 12 16 20 5 10 15 20 25 (a) Find a vector v such that A = vv and show that v is an eigenvector of A. (b) Find the dimension of the nullspace of A. (c) Find all eigenvalues and their geometric multiplicities. (Hint: the nullspace of A is the 0-eigenspace of A.) (d) Diagonalize A, that is, find an invertible matrix X such that X-¹AX is a diagonal matrix.

Linear Algebra: A Modern Introduction
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ISBN:9781285463247
Author:David Poole
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Chapter4: Eigenvalues And Eigenvectors
Section: Chapter Questions
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[1
2
3
4
5
2
4
6
8
10
2. Let A= 3
6
9
12 15
4
8
12 16 20
5 10 15 20 25
(a) Find a vector v such that A = vv and show that v is an eigenvector of A.
(b) Find the dimension of the nullspace of A.
(c) Find all eigenvalues and their geometric multiplicities. (Hint: the nullspace of A is the 0-eigenspace
of A.)
(d) Diagonalize A, that is, find an invertible matrix X such that X-¹AX is a diagonal matrix.
Transcribed Image Text:[1 2 3 4 5 2 4 6 8 10 2. Let A= 3 6 9 12 15 4 8 12 16 20 5 10 15 20 25 (a) Find a vector v such that A = vv and show that v is an eigenvector of A. (b) Find the dimension of the nullspace of A. (c) Find all eigenvalues and their geometric multiplicities. (Hint: the nullspace of A is the 0-eigenspace of A.) (d) Diagonalize A, that is, find an invertible matrix X such that X-¹AX is a diagonal matrix.
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