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.
Quantitative separation of a norm ball from an exterior point
Example
Assume HB. Let be a real or complex normed space, , and with . There is with and . For every in the closed ball , The gap between the displayed upper bound and exterior-point value is . Its midpoint gives uniform margin . For the open ball with , the left bound is strict.
Facts & Assumptions
Under HB every nonzero vector has a norm-one functional with value (Relative dual norming, point separation, and recovery of the norm).
Writing , a separator with uniform margin satisfies (Convex sets and continuous real-hyperplane separation in a normed space).
Verification
Given: HB, , , and .
Since , . Apply dual norming to this vector to get and , a positive real. Put . Linearity gives .
If , then . Thus . If with , the same chain gives .
Set and . Direct subtraction and addition give and . Hence step 2.1 gives , the prescribed uniform margin. For , the closed ball is by norm definiteness and these formulas give margin .
For a numerical instance, take , , , , and . Then , , , and . Every satisfies ; at the left bound is attained. This explicitly realizes gap two and margin one.
Source notes
Brezis Corollary 1.3 and Theorem 1.7, pp.3,7 (quantitative specialization); Teschl Theorem 4.20 proof and Corollary 5.4, pp.116,140.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 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
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, §§1.1–1.2 and §1.3 evaluation paragraph (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis, Theorems 4.13–4.20 and §5.1 (2018 university-hosted copy) (standard reference, not scraped)