(a) Similar matrices have the same characteristic polynomial. (b) Similar matrices have the same eigenvectors. (c) If A is diagonalizable, then the columns of A are linearly independent. (d) If v is an eigenvector of eigenvalue 5, then –v is eigenvector of eigenvalue –5.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Mark each statement T if the statement is always true or F if it’s ever false. Do not assume anything beyond what is explicitly stated.

 

(a) Similar matrices have the same characteristic polynomial.

(b) Similar matrices have the same eigenvectors.

(c) If \( A \) is diagonalizable, then the columns of \( A \) are linearly independent.

(d) If \( \mathbf{v} \) is an eigenvector of eigenvalue \( 5 \), then \( -\mathbf{v} \) is an eigenvector of eigenvalue \( -5 \).
Transcribed Image Text:(a) Similar matrices have the same characteristic polynomial. (b) Similar matrices have the same eigenvectors. (c) If \( A \) is diagonalizable, then the columns of \( A \) are linearly independent. (d) If \( \mathbf{v} \) is an eigenvector of eigenvalue \( 5 \), then \( -\mathbf{v} \) is an eigenvector of eigenvalue \( -5 \).
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