Problem 1. ? ? ? ? ? Are the following statements true or false for a square matrix A? If Ax = λx for some vector X and some scalar λ, then λ is an eigenvalue of A. To find the eigenvalues of A, reduce A to echelon form. A matrix A is singular if and only if 0 is an eigenvalue of A. An n x n matrix A is diagonalizable if A has n linearly independent eigenvectors. A number c is an eigenvalue of A if and only if the equation (A - cl)x: 0 has a nontrivial solution X. =

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Problem 1.
?
?
?
?
?
Are the following statements true or false for a square matrix A?
If Ax= =
λx for some vector x and some scalar λ, then is an eigenvalue of A.
To find the eigenvalues of A, reduce A to echelon form.
A matrix A is singular if and only if 0 is an eigenvalue of A.
An n x n matrix A is diagonalizable if A has ʼn linearly independent eigenvectors.
A number c is an eigenvalue of A if and only if the equation (A - cI)x = 0 has a nontrivial solution X.
Transcribed Image Text:Problem 1. ? ? ? ? ? Are the following statements true or false for a square matrix A? If Ax= = λx for some vector x and some scalar λ, then is an eigenvalue of A. To find the eigenvalues of A, reduce A to echelon form. A matrix A is singular if and only if 0 is an eigenvalue of A. An n x n matrix A is diagonalizable if A has ʼn linearly independent eigenvectors. A number c is an eigenvalue of A if and only if the equation (A - cI)x = 0 has a nontrivial solution X.
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