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Niles
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[SOLVED] Eigenvectors and their inverses
After submitting the first question, I thought of a new one - so there are two questions:
1) I have a n x n matrix A and it has n (not necessarily different) eigenvalues. I can write the matrix A as the product of:
S*D*S^(-1),
where D is the diagonalmatrix which has the eigenvalues as it's entries. S contains the eigenvalues (in the same order as they are written in D) and S^-1 is the inverse of S.
Some places I see they write it as S^(-1)*D*S, and some places as S*D*S^(-1). Is it always the matrix to the left of D that contains the eigenvectors?
2) If I have a matrix A that represents a transformation L from R^4 -> R given by [1 -1 3 0], then how can I determine if L is linear from A?
Thanks in advance,
sincerely Niles.
Homework Statement
After submitting the first question, I thought of a new one - so there are two questions:
1) I have a n x n matrix A and it has n (not necessarily different) eigenvalues. I can write the matrix A as the product of:
S*D*S^(-1),
where D is the diagonalmatrix which has the eigenvalues as it's entries. S contains the eigenvalues (in the same order as they are written in D) and S^-1 is the inverse of S.
Some places I see they write it as S^(-1)*D*S, and some places as S*D*S^(-1). Is it always the matrix to the left of D that contains the eigenvectors?
2) If I have a matrix A that represents a transformation L from R^4 -> R given by [1 -1 3 0], then how can I determine if L is linear from A?
Thanks in advance,
sincerely Niles.
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