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onsider the following matrix: 1 24 0 4 12 0 10 0 0 6 1= 0 -6 1 -1 -3 0 12 0 2 6 0 -20 0 0 -12 Find the distinct eigenvalues of A, their multiplicities, and the corresponding number of basic eigenvectors. Number of Distinct Eigenvalues: 1 Eigenvalue: 0 has multiplicity 1 and corresponding number of basic eigenvectors 1 Determine whether the matrix A is diagonalizable.

onsider the following matrix: 1 24 0 4 12 0 10 0 0 6 1= 0 -6 1 -1 -3 0 12 0 2 6 0 -20 0 0 -12 Find the distinct eigenvalues of A, their multiplicities, and the corresponding number of basic eigenvectors. Number of Distinct Eigenvalues: 1 Eigenvalue: 0 has multiplicity 1 and corresponding number of basic eigenvectors 1 Determine whether the matrix A is diagonalizable.

Advanced Engineering Mathematics
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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Consider the following matrix: 1 24 0 4 12 0 10 0 0 6 A=0 -6 1 1 -3 0 12 0 2 6 0 -20 0 0 -12 a) Find the distinct eigenvalues of A, their multiplicities, and the corresponding number of basic eigenvectors. Number of Distinct Eigenvalues: 1 Eigenvalue: 0 has multiplicity 1 and corresponding number of basic eigenvectors 1 b) Determine whether the matrix A is diagonalizable. Conclusion: < Select an answer > < Select an answer > A is diagonalizable A is not diagonalizable SUBMIT AND MARK
Transcribed Image Text:Consider the following matrix: 1 24 0 4 12 0 10 0 0 6 A=0 -6 1 1 -3 0 12 0 2 6 0 -20 0 0 -12 a) Find the distinct eigenvalues of A, their multiplicities, and the corresponding number of basic eigenvectors. Number of Distinct Eigenvalues: 1 Eigenvalue: 0 has multiplicity 1 and corresponding number of basic eigenvectors 1 b) Determine whether the matrix A is diagonalizable. Conclusion: < Select an answer > < Select an answer > A is diagonalizable A is not diagonalizable SUBMIT AND MARK
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