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.
Nonoptimal partial projections have an escaping sign branch
Statement
Assume AC, a separable real Hilbert space , and the feature-energy hypotheses: is convex and differentiable with locally Lipschitz differential bounded on sublevels, is Fr\acute{e}chet differentiable, is semiconvex, and the nested cutoff sets and derivative-growth bounds in the feature-energy definition hold. Let , , be bounded and continuously differentiable with Lipschitz differential, and be bounded and continuously differentiable with Lipschitz differential; set and . For every , require dense regular values for . Retain either (i) is the closure of a nonempty bounded connected open convex set with boundary and on for every , or (ii) and for every , converges uniformly in to a limit with dense regular values as . Let be a finite signed projection with nonoptimal relaxed objective , set by the signed Bochner-integral convention in the relaxed-objective definition, and define and . Assume at least one of is negative somewhere, as is necessary for a nonempty negative cone. Let be the nonempty set of signs with a negative value, choose a negative regular level for each , and put for and otherwise. For a finite signed measure on , define
where and for Euclidean distance, taking when there are no distinct points. Set . There is such that if and for a Wasserstein gradient flow , then for some ,
The statement retains both sign branches and both source boundary alternatives.
Statement references
Feature-measure energy and its regularity assumptions
Wasserstein gradient flow for a feature-measure energy
Partially one-homogeneous signed measure projection
Relaxed objective for a partially one-homogeneous projection
Correct finite-time bound for partial-homogeneity zero crossing
One-sided semiconvex characteristics give W2 uniqueness and stability
Facts & Assumptions
Given: AC and the full hypotheses in the Statement.
The full globally semiconvex partial-model hypotheses imply ; in particular and their angular gradients are opposite. The bounded branch uses the Neumann premise for . The full global partial-model hypotheses force a constant penalty coefficient
A negative inner sublevel of either sign function has a larger negative outer trap, robust under all sufficiently close time-dependent forcing, in both the bounded and compactified unbounded branches. Negative partial-homogeneity levels trap all sufficiently close forcings
Every flow in the definition has finite total squared action and a superposition by its characteristic paths, without a bounded-initial-weight assumption. Partial feature flows have exact energy and weight-moment identities Superposition for finite-action Euclidean continuity equations
Feature moments factor through the signed projection, not its individual raw or Jordan components. Partially one-homogeneous signed measure projection Relaxed objective for a partially one-homogeneous projection
Proof
Given: The flow and signed projection in the Statement.
Boundedness and Lipschitz differential of give a finite on either domain alternative. In the unbounded alternative, if , Taylor's inequality on a unit segment gives for every unit vector ; the same argument bounds . In the bounded alternative the derivative bounds follow from compactness. For any finite signed , test its BL norm with for unit to obtain (if the assertion is immediate). Local Lipschitz continuity of near then bounds by whenever this BL distance is small. This is a norm bound on the Hilbert forcing, on bounded and unbounded alike.
By [F1] write . Apply [F2] to each nonempty using its level as the inner threshold; if necessary choose a regular outer level strictly between that threshold and zero, also regular for the sphere limit in the unbounded case. The common forcing radius and constant can be chosen for the at most two branches. Whenever , every favorable characteristic starting with and stays in the corresponding outer negative trap, satisfies , and retains its sign. Indeed its angular equation is , and time change by the positive factor gives precisely the normalized curve in [F2]. On each finite interval all quantities are finite and , so this time change is legitimate; if its total normalized time is finite, the same trap follows on every finite physical interval.
Choose so that step 1.1 sends BL distance less than into the forcing ball in step 2.1. Suppose, to the contrary, that after this distance always remains less than . By hypothesis the set of superposed paths starting in the union of the favorable cones has probability . Step 2.1 gives along every such path for almost every later time. Thus for almost every . Integrating on the infinite time interval contradicts the finite total action in [F3]. Hence there is a finite with distance at least , as claimed. This action lower bound is positive before any signed projection is taken, so no opposite-sign mass can cancel it.
Source note
The source's common-time version of Lemma C.18 is unnecessary. The proof uses positive action from retained favorable trajectories, not a claim that their signed projected mass dominates the opposite sign. The full hypotheses and both source boundary alternatives are retained.
Depends on
- Feature-measure energy and its regularity assumptions
- Wasserstein gradient flow for a feature-measure energy
- Partially one-homogeneous signed measure projection
- Relaxed objective for a partially one-homogeneous projection
- The Axiom of Choice
- The full global partial-model hypotheses force a constant penalty coefficient
- Negative partial-homogeneity levels trap all sufficiently close forcings
- Partial feature flows have exact energy and weight-moment identities
- Superposition for finite-action Euclidean continuity equations
Used by
Dependency tree · two levels
68 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)