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.
Numerical range and numerical radius
Definition
Let be a nonzero complex Hilbert space and let be a bounded linear operator (Hilbert space, The operator norm as the least bound and as the unit-sphere or unit-ball supremum). The numerical range of is the set of values of its quadratic form on the unit sphere,
and the numerical radius of is
Well-definedness. The unit sphere of a nonzero Hilbert space is nonempty, so . For Cauchy–Schwarz gives , so is a nonempty subset of the closed disc of radius and the supremum is a real number satisfying (Cauchy–Schwarz: , with equality exactly for dependent pairs). The pairing is linear in its first variable and conjugate-linear in its second, so is the image of the unit sphere under a continuous map, but no closedness is claimed or used here.
The zero space and the zero operator. On the zero Hilbert space the unit sphere is empty; by convention and there, so that the numerical radius of the zero operator is in every dimension. On a nonzero space the zero operator has and directly from the definition (Real and complex inner-product spaces and their induced length for the pairing convention, which is linear in the first variable throughout this page).
Two elementary facts used later. Since for scalars , one has ; and for every , so always. Neither definiteness nor the triangle inequality for is asserted at this point: they are proved on the next page, together with the equality for normal .
Depends on
Used by
Dependency tree · two levels
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Sources
- Joel H. Shapiro, Notes on the Numerical Range, §3, PDF pp.9–11 (standard reference, not scraped)
- Theo Bühler and Dietmar Salamon, Functional Analysis, §5.3, printed pp.235–245 (standard reference, not scraped)