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.
Closed epsilon-pseudospectrum in the spectral norm
Definition
For a complex matrix with and , its closed -pseudospectrum is
where is the smallest singular value from The singular values of a linear map as the eigenvalues of the positive square root of T^*T. This is the unstructured complex perturbation convention in the spectral norm The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||. In particular, real is regarded as a complex matrix and admissible perturbations may be complex. The non-strict inequality fixes the boundary: points with are included.
Depends on
Used by
- A Jordan eigenpair residual can be much smaller than its eigenvalue error Example
- The closed epsilon-pseudospectrum of the two-by-two Jordan block is a disk Example
- A certified computed smallest singular value encloses pseudospectrum membership Theorem
- Closed pseudospectrum equals the resolvent, singular-value, and perturbation tests Theorem
Dependency tree · two levels
9 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Youcef Saad, Numerical Methods for Large Eigenvalue Problems, 2nd ed., §3.5 (standard reference, not scraped)
- Mark Embree, Matrix Theory course notes, §5.3 (standard reference, not scraped)