How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Spectrum and resolvent of a bounded operator
Definition
Let be a complex Banach space (Banach space, The Euclidean metric, convergence, Cauchy sequences, and continuity on the complex plane) and let be a bounded linear operator (A bounded linear operator between normed spaces, The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators). For a scalar write for the bounded linear operator (Linear map between vector spaces over the same field).
- The resolvent set of is For the inverse , an element of , is the resolvent operator of at .
- The spectrum of is its complement
- A scalar is an eigenvalue of when ; the nonzero vectors of that kernel are the eigenvectors of for , and is the eigenspace. The set of eigenvalues is the point spectrum of ; plainly the point spectrum is contained in , since an operator with nonzero kernel is not injective.
- For the generalized eigenspace of at is an increasing union of linear subspaces (Linear subspace of a vector space); the union is a linear subspace because the union is increasing. If is an eigenvalue and is finite dimensional, (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis) is the algebraic multiplicity of the eigenvalue .
Every element of produces an eigenvector, and conversely. If with , let be least with ; then is nonzero and satisfies . So exactly when is an eigenvalue. In particular implies . If is an eigenvalue and is finite dimensional, then the algebraic multiplicity is defined and is at least , because .
Conventions. Only complex scalars are treated here; the real case is handled by complexification on a later page, so no spectrum is attached here to a bounded operator on a real Banach space. The definition is purely one of vocabulary; it asserts no nonemptiness of , no openness of and no continuity of , all of which are proved separately. Since , the number lies in exactly when is not invertible with bounded inverse.
Depends on
A bounded linear operator between normed spaces
Banach space
The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators
Linear map between vector spaces over the same field
Linear subspace of a vector space
Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis
The Euclidean metric, convergence, Cauchy sequences, and continuity on the complex plane