Let C and D be n x n matrices, with D invertible. Prove that if A is an eigenvalue of C, then A^(-1) is an eigenvalue of D^(-2)C^2D.
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First, we know that A is an eigenvalue of C, which means that there exists a non-zero vector x such that Cx = Ax. Show more…
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