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.
Any two completions of a normed space are uniquely linearly isometric
Statement
Let be a normed space, and let and be two completions of . Then there is a unique linear isometric isomorphism such that
Facts & Assumptions
Given: A normed space and two completions and of .
Any two metric completions are related by a unique isometry commuting with the dense embeddings (A completion is unique up to a unique isometry fixing the original space, and uniformly continuous maps into complete spaces extend through it).
Bounded linear maps extend uniquely across a completion (Bounded linear maps extend uniquely across the completion).
A linear isometric isomorphism is a bijective linear isometry (Linear isometries and isometric isomorphisms, Completion of a normed space).
Proof
By [L1], there is a unique isometry with .
On the dense subspace , the map is linear and norm-preserving. Applying [L2] to this dense linear isometry extends it to a bounded linear map with .
Both and are continuous maps extending the same map on , so the uniqueness in step 1.1 forces . Hence is linear.
Since is already an isometry by step 1.1, it is a linear isometric isomorphism. Uniqueness of such a map is again the uniqueness from [L1].
Depends on
Used by
Dependency tree · two levels
33 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)