(i) There exists a matrix that is diagonalizable but not invertible. (j) If A is an eigenvalue of algebraic multiplicity 2, then the 2-eigenspace is 2-dimensional. (k) Matrices A and A' have the same eigenvalues with same multiplicities.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
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.

 

(i) There exists a matrix that is diagonalizable but not invertible.

(j) If λ is an eigenvalue of algebraic multiplicity 2, then the 2-eigenspace is 2-dimensional.

(k) Matrices \( A \) and \( A^T \) have the same eigenvalues with same multiplicities.

Note: This is a transcription of matrix algebra concepts pertaining to eigenvalues and the properties related to diagonalizable matrices and their transposes.
Transcribed Image Text:(i) There exists a matrix that is diagonalizable but not invertible. (j) If λ is an eigenvalue of algebraic multiplicity 2, then the 2-eigenspace is 2-dimensional. (k) Matrices \( A \) and \( A^T \) have the same eigenvalues with same multiplicities. Note: This is a transcription of matrix algebra concepts pertaining to eigenvalues and the properties related to diagonalizable matrices and their transposes.
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