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 generic linear projection preserves injectivity and immersion
Statement
Let be a smooth embedding with . Then the set of unit vectors for which the orthogonal projection
makes an injective immersion is dense in .
Facts & Assumptions
Given: A smooth embedding with .
The secant-direction map is defined on , and the tangent-direction map is defined on (Secant and tangent direction maps of a Euclidean embedding).
The image of a manifold of dimension strictly smaller than the target-manifold dimension is a null set (The image of a lower-dimensional manifold is null).
A null subset of a positive-dimensional manifold has dense complement (A null set has dense complement in a positive-dimensional manifold).
Proof
The manifold has dimension , and also has dimension . Since has dimension , [L1] shows that both images and are null subsets of .
By [L2], the complement of the union of those two bad sets is dense in . Fix in that complement.
If , then is parallel to . Because is injective, either or . The second alternative is impossible by step 2.1, so . Thus is injective.
If for some , then is parallel to , so . This again contradicts step 2.1. Hence is injective for every , and is an immersion.
Therefore every outside the secant and tangent images gives an injective immersion after projection, and such form a dense set.
Depends on
Used by
Dependency tree · two levels
11 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., Lemma 6.13 (standard reference, not scraped)
- Marco Gualtieri, Topology I: Smooth Manifolds, Part 11 (standard reference, not scraped)