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.
A fine Euclidean approximation lands in a prescribed tubular neighbourhood
Statement
Let be a closed embedded smooth submanifold with tubular neighbourhood , and let be continuous. Then there exists a positive continuous error function on such that every smooth map satisfying
for all has image contained in .
Facts & Assumptions
Given: A continuous map and a tubular neighbourhood of the embedded image .
A positive continuous error function is a continuous map into (Positive continuous error functions for strong approximation).
Euclidean embedded submanifolds admit tubular neighbourhoods (The Euclidean tubular neighbourhood theorem).
Proof
For each , the point lies in the open set , so its Euclidean distance to the closed complement is positive. Define Because is continuous and the distance-to-a-fixed-closed-set function is continuous, [F1] shows that is a positive continuous error function.
If , then lies in the open Euclidean ball of radius around . By the definition of , that ball is contained in . Hence .
Therefore every approximation with error bound lands in the prescribed tubular neighbourhood .
Depends on
Used by
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
- John M. Lee, Introduction to Smooth Manifolds, 2nd ed., Smooth Approximation of Maps Between Manifolds (standard reference, not scraped)