Spectral Mapping Theorem

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Your reference is talking about matrices. Which spectral mapping theorem are you interested in? For example, here's one version (see e.g. Rudin, "Functional Analysis", theorems 10.28 and 10.33):

Suppose $T$ is a bounded linear operator on the complex Banach space $X$, $\Omega \subseteq \mathbb C$ open with $\sigma(T) \subset \Omega$, and $f$ analytic in $\Omega$. Then the holomorphic functional calculus defines $f(T)$ such that, among other things (where $\sigma_p$ denotes point spectrum):

  1. $f(\sigma(T)) = \sigma(f(T))$
  2. $f(\sigma_p(T)) \subseteq \sigma_p(f(T))$
  3. If there is no connected component of $\Omega$ on which $f$ is constant, then $f(\sigma_p(T)) = \sigma_p(f(T))$.

However, without that restriction the statement would be false. Consider e.g. an operator $T$ which has no point spectrum, and let $f$ be identically $0$. Then $\sigma_p(f(T)) = \sigma_p(0) = \{0\}$, but $f(\sigma_p(T)) = \emptyset$.