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 by the kernel is isometric to the range with its induced quotient norm
Example
Let be a bounded linear operator between normed spaces, and write . The factor map
is a linear isomorphism. If is equipped with the induced quotient norm
then is an isometry.
Facts & Assumptions
Given: A bounded linear operator and its kernel .
A bounded linear operator is in particular linear (A bounded linear operator between normed spaces).
The kernel and image are the sets and (Kernel and image of a linear map).
The kernel is a linear subspace, and a linear map is injective exactly when its kernel is trivial (The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial).
The quotient seminorm is the infimum over representatives (The quotient seminorm (|x+M|{X/M}=\inf{m\in M}|x+m|=\operatorname{dist}(x,M))).
A linear map that vanishes on a subspace factors uniquely through the algebraic quotient (Universal property of the quotient vector space).
Verification
Since is linear by [L1], the set is a linear subspace by [L3], and certainly . Therefore [L5] gives a unique linear map with . Its range is exactly , so we may read it as a map into .
If , then , so by [L2]. Hence , the zero coset. Therefore is injective by [L3].
If , then by [L2], so . Thus the formula is well defined on , using the quotient seminorm of [L4]. By construction, for every coset, so is an isometry onto .
Steps 1.1, 2.1, and 2.2 show that is linearly isomorphic to the range of , and isometric once the range is given the induced quotient norm.
Depends on
- A bounded linear operator between normed spaces
- Kernel and image of a linear map
- The quotient seminorm \(\|x+M\|_{X/M}=\inf_{m\in M}\|x+m\|=\operatorname{dist}(x,M)\)
- The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial
- Universal property of the quotient vector space
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
14 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
- Theo Buhler and Dietmar A. Salamon, Functional Analysis (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)