For a linear operator $A$ on a finite-dimensional complex vector space $V$, the spectrum of $A$ is simply the subset of the complex numbers consisting of the eigenvalues of $A$.

In the case that $V$ is an infinite-dimensional complex separable Hilbert space, the (normal) eigenvalues only form the *discrete spectrum*. Instead, the full spectrum is the set of all $\lambda \in \mathbb{C}$ for which the resolvent $(A-\lambda I)^{-1}$ is not a bounded operator.

In other words, the spectrum is the complement of the subset of complex numbers for which the resolvent is a bounded operator.

If $A$ is a bounded linear operator on a complex separable Hilbert space, then the spectrum $\sigma(A)$ is a compact subset of $\mathbb{C}$.

The set $\sigma_d(A)$ of ordinary normal eigenvalues of $A$ is a subset of $\sigma(A)$ called the *discrete spectrum* of $A$. In particular case when $A$ is a compact operator the spectrum consists of the discrete spectrum only, except for possible addition of point $0$.

See also

- Wikipedia,
*Spectrum (functional_analysis)*

Last revised on May 9, 2022 at 03:03:55. See the history of this page for a list of all contributions to it.