Resolvent set

Let X be a Banach space and let ${\displaystyle L\colon D(L)\rightarrow X}$ be a linear operator with domain ${\displaystyle D(L)\subseteq X}$. Let id denote the identity operator on X. For any ${\displaystyle \lambda \in \mathbb {C} }$, let

${\displaystyle L_{\lambda }=L-\lambda \,\mathrm {id} .}$

A complex number ${\displaystyle \lambda }$ is said to be a regular value if

1. ${\displaystyle L_{\lambda }}$ is injective, that is, the corestriction of ${\displaystyle L_{\lambda }}$ to its image has an inverse ${\displaystyle R(\lambda ,L)}$, which:
2. is a bounded linear operator;
3. is defined on a dense subspace of X, that is, ${\displaystyle L_{\lambda }}$ has dense range.

The resolvent set of L is the set of all regular values of L:

${\displaystyle \rho (L)=\{\lambda \in \mathbb {C} \mid \lambda {\mbox{ is a regular value of }}L\}.}$

The spectrum is the complement of the resolvent set:

${\displaystyle \sigma (L)=\mathbb {C} \setminus \rho (L).}$

The spectrum can be further decomposed into the point/discrete spectrum (where condition 1 fails), the continuous spectrum (where conditions 1 and 3 hold but condition 2 fails) and the residual/compression spectrum (where condition 1 holds but condition 3 fails).

If ${\displaystyle L}$ is a closed operator, then so is each ${\displaystyle L_{\lambda }}$, and condition 3 may be replaced by requiring that ${\displaystyle L_{\lambda }}$ is surjective.

• The resolvent set ${\displaystyle \rho (L)\subseteq \mathbb {C} }$ of a bounded linear operator L is an open set.
• More generally, the resolvent set of a densely defined closed unbounded operator is an open set.

• Renardy, Michael; Rogers, Robert C. (2004). An introduction to partial differential equations. Texts in Applied Mathematics 13 (Second ed.). New York: Springer-Verlag. xiv+434. ISBN 0-387-00444-0. MR2028503 (See section 8.3)

• Voitsekhovskii, M.I. (2001) [1994], "Resolvent set", Encyclopedia of Mathematics, EMS Press

• Resolvent formalism
• Spectrum (functional analysis)
• Decomposition of spectrum (functional analysis)