Consider the following matrix: -2 0 0 -1 24 3 0 4 A = 36 0 3 6 12 0 0 5 a) Find the distinct eigenvalues of A, their multiplicities, and the dimensions of their associated eigenspaces. Number of Distinct Eigenvalues: 1 Eigenvalue: 0 has multiplicity 1 and eigenspace dimension 1 b) Determine whether the matrix A is diagonalizable.
Consider the following matrix: -2 0 0 -1 24 3 0 4 A = 36 0 3 6 12 0 0 5 a) Find the distinct eigenvalues of A, their multiplicities, and the dimensions of their associated eigenspaces. Number of Distinct Eigenvalues: 1 Eigenvalue: 0 has multiplicity 1 and eigenspace dimension 1 b) Determine whether the matrix A is diagonalizable.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Conclusion: A is diagonalizable or A is not diagonalizable

Transcribed Image Text:Consider the following matrix:
[-2 0 0 –1
24 3 0 4
A =
36 0 3 6
12 0 0 5
a) Find the distinct eigenvalues of A, their multiplicities, and the dimensions of their associated eigenspaces.
Number of Distinct Eigenvalues: 1
Eigenvalue: 0 has multiplicity 1 and eigenspace dimension 1
b) Determine whether the matrix A is diagonalizable.
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