Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

Generalized W2 geodesics and strong Wasserstein subgradients

Definition

Assume AC. Let μ0,μ1∈P2(Rd). A generalized W2 geodesic from μ0 to μ1 with base ν∈P2(Rd) is a probability measure π on triples (z,x,y) whose (z,x) marginal is an optimal coupling of ν and μ0 and whose (z,y) marginal is an optimal coupling of ν and μ1; its interpolating curve is μt=((1−t)x+ty)#π. A functional F is λ-convex along generalized geodesics if for every such π its values satisfy F(μt)≤(1−t)F(μ0)+tF(μ1)−λ2t(1−t)∫∣x−y∣2dπ. A vector field gμ∈L2(μ;Rd) is a strong Wasserstein subgradient of F at μ if for every η∈P2(Rd) and every coupling γ of μ and η, F(η)≥F(μ)+∫gμ(x)⋅(y−x)dγ+o ⁣((∫∣y−x∣2dγ)1/2) as the coupling action tends to zero, with a remainder uniform over all such couplings. The definition imposes no global displacement-convexity claim.

Depends on

Used by

Dependency tree · two levels

26 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