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.
Two-homogeneous measure projection
Definition
Let , let , and let be a finite nonnegative Borel measure on with . Define for . The two-homogeneous projection of is the set function on Borel
It is a finite nonnegative Borel measure: the integrand defines the weighted measure on , and preimages under the continuous map preserve disjoint unions; its total mass is at most . Mass at contributes zero. If or is positively two-homogeneous, this projection records its radial integral on the sphere; the exact identities are stated separately.
Depends on
Used by
- A W2 limit in the two-homogeneous case is globally minimizing Corollary
- A weak two-homogeneous projection limit is stationary on its support Lemma
- Feature and energy identities for homogeneous projections Lemma
- Negative regular sublevels force two-homogeneous projection escape Lemma
- W2 convergence implies weak convergence of homogeneous projections Lemma
- A separating two-homogeneous flow has globally minimizing projection limits Theorem
Dependency tree · two levels
4 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
- Lénaïc Chizat and Francis Bach, On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport (standard reference, not scraped)
- Luigi Ambrosio, Nicola Gigli, and Giuseppe Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures (standard reference, not scraped)