somewhere near the beginning.

Spectral Mapping Theorem

Filed under: Mathematics — Alex @ 9:59 am 6/14/2006

Let A \in M_n(\C) be a square matrix of order n, and p a polynomial, then show \sigma(p(A)) = \{p(\lambda) : \lambda \in \sigma(A)\}, where \sigma(A) is the spectrum of A– the set of eigenvalues. This result is known as the spectral mapping theorem, and can be written more concisely as

\sigma(p(A)) = p(\sigma(A))

One inclusion is trivial (\Leftarrow), the other is trickier.

Now use the spectral mapping theorem to characterize the spectrum of an idempotent matrix A (i.e., A^2 = A).

Here’s a harder one: can we have matrices A,B \in M_n(\C) such that AB - BA = I?

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