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DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-22
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 X be a complex Banach space (Banach space, The Euclidean metric, convergence, Cauchy sequences, and continuity on the complex plane) and let T∈B(X) 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 λ∈C write λI−T for the bounded linear operator x↦λx−Tx (Linear map between vector spaces over the same field).

  • The resolvent set of T is ρ(T):={λ∈C:λI−T is bijective and its inverse is a bounded operator X→X}. For λ∈ρ(T) the inverse R(λ,T):=(λI−T)−1, an element of B(X), is the resolvent operator of T at λ.
  • The spectrum of T is its complement σ(T):=C∖ρ(T).
  • A scalar λ is an eigenvalue of T when ker⁡(λI−T)≠{0}; the nonzero vectors of that kernel are the eigenvectors of T for λ, and Eλ(T):=ker⁡(λI−T) is the eigenspace. The set of eigenvalues is the point spectrum of T; plainly the point spectrum is contained in σ(T), since an operator with nonzero kernel is not injective.
  • For λ∈C the generalized eigenspace of T at λ is Gλ(T):=⋃n≥1ker⁡((T−λI)n), an increasing union of linear subspaces (Linear subspace of a vector space); the union is a linear subspace because the union is increasing. If λ is an eigenvalue and Gλ(T) is finite dimensional, dim⁡CGλ(T) (Finite-dimensional vector space, and its dimension dim⁡FV; infinite-dimensional means having no finite basis) is the algebraic multiplicity of the eigenvalue λ.

Every element of Gλ(T)∖{0} produces an eigenvector, and conversely. If (T−λI)nx=0 with x≠0, let k≥1 be least with (T−λI)kx=0; then y:=(T−λI)k−1x is nonzero and satisfies (T−λI)y=0. So Gλ(T)≠{0} exactly when λ is an eigenvalue. In particular λ∈ρ(T) implies Gλ(T)={0}. If λ is an eigenvalue and Gλ(T) is finite dimensional, then the algebraic multiplicity is defined and is at least dim⁡CEλ(T), because Eλ(T)⊆Gλ(T).

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 σ(T), no openness of ρ(T) and no continuity of λ↦R(λ,T), all of which are proved separately. Since 0I−T=−T, the number 0 lies in σ(T) exactly when T is not invertible with bounded inverse.

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