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.
The quotient seminorm is independent of the chosen coset representative
Statement
Let be a normed space and let . If in , then
Therefore the quotient seminorm of The quotient seminorm (|x+M|{X/M}=\inf{m\in M}|x+m|=\operatorname{dist}(x,M)) is well defined.
Facts & Assumptions
Given: A normed space , a linear subspace , and representatives with .
The quotient seminorm is defined by (The quotient seminorm (|x+M|{X/M}=\inf{m\in M}|x+m|=\operatorname{dist}(x,M))).
Two cosets are equal exactly when their representatives differ by an element of (Coset equality, well-defined quotient operations, and the canonical projection with kernel ).
Proof
By [L2], there is with . For every , , and still lies in . Thus .
The same argument with the roles of and reversed gives the reverse inclusion, so the two sets of admissible norms are equal. Their infima are therefore equal, which is exactly the claim of [L1].
Depends on
Used by
- The quotient seminorm satisfies the triangle inequality Lemma
- The quotient seminorm is a norm exactly when the subspace is closed Theorem
Cited to discharge well-definedness by The quotient seminorm (‖x+M‖_X/M=inf_m∈ M‖x+m‖=dist(x,M)).
Dependency tree · two levels
7 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
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)
- Theo Buhler and Dietmar A. Salamon, Functional Analysis (standard reference, not scraped)