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The Hilbert lift induces the localized Wasserstein continuity equation
Statement
Assume AC and the feature-measure energy hypotheses. Let have finite energy and be concentrated on , and let be the Hilbert gradient flow of the localized lift from . Define , , and where is the minimum-norm element of the full shifted set for , and extend by for . Then is Borel, for each , and in distributions on . The curve is in , and is the minimum-action velocity, satisfying .
Statement references
Feature-measure energy and its regularity assumptions
Localized Hilbert lift of the feature energy
A lower-bounded semiconvex Hilbert energy generates a unique gradient flow
The localized lifted subdifferential is a pointwise constrained subdifferential
Finite-action continuity equation in Euclidean space
Facts & Assumptions
Given: AC, the localized lift, the initial law, and its Hilbert gradient flow.
The Hilbert flow is locally absolutely continuous, has a Bochner derivative, and its derivative is the negative Hilbert subgradient almost everywhere. A lower-bounded semiconvex Hilbert energy generates a unique gradient flow
The Hilbert subdifferential is the smooth feature gradient plus the measurable pointwise constrained potential subgradient. The localized lifted subdifferential is a pointwise constrained subdifferential
Bochner paths have strongly measurable representatives and their integrals commute with bounded linear functionals. Finite partition energy yields Hilbert-valued AC2 paths Bounded linear maps commute with Bochner integration
A curve satisfying the finite-action continuity equation is -absolutely continuous with squared metric speed bounded by its action. Finite-action continuity equations generate AC2 Wasserstein curves
AC is the inherited axiom in the flow and transport suppliers. The Axiom of Choice
The minimum integrated action among Borel finite-action fields solving the same continuity equation equals the integral of the squared metric derivative. AC2 curves admit a unique minimum-action velocity field
Scalar domination passes limits through finite-measure integrals. Dominated convergence
Given: AC and the data above.
Proof
Since is the image of under Bochner integration, [F3] and the Lipschitz bound on show is continuous. The full shifted selection is jointly Borel on by [F2]; extending by zero outside the closed set gives a Borel field on . Here is continuous. By [F1] and [F2], a representative of the Hilbert derivative satisfies for almost every . Its squared integral is .
For , the scalar chain rule along the almost-everywhere absolutely continuous label paths gives for almost every . The right side is integrable: the test derivatives are bounded, is a probability, and [F1] gives finite velocity action on . Integrating in and , Fubini and the vanishing of near give the weak continuity-equation identity for .
The coupling gives . Cauchy–Schwarz in time and [F1] imply for . Thus on . Alternatively [F4] applies to the continuity equation and the action bound from step 1.1.
Fix a time and put . On this function is bounded, lower semicontinuous and semiconvex, with a nonempty subdifferential and minimum section bounded uniformly on compact time intervals by [F2]. For small let minimize and let be the minimum value. The resolvent proof in [F2] gives Lipschitz. Comparing the envelope at using , and at using , bounds the difference from by locally. Thus is and its gradient is . The monotonicity estimate from [F2] gives on , with a semiconvexity coefficient; the same proof gives pointwise convergence to . Dominated convergence yields convergence in . Each gradient belongs to the closure of gradients of compactly supported smooth functions: multiply the envelope by smooth cutoffs equal to one on , with derivative , and then mollify. On the envelope stays between the fixed lower bound and upper bound of , so the cutoff derivative term tends to zero in ; the other tail tends to zero by the bound just proved. Mollification converges uniformly in on each compact set. Therefore belongs to the spatial gradient closure in .
Let be a minimum-action field for as in the AC² minimal-velocity theorem. Subtracting its continuity equation from that of and using time tensor tests shows for almost every , simultaneously for a countable set of compactly supported smooth dense in on each compact ball. Such a set is obtained by rational polynomial approximations and fixed smooth cutoffs; extend the equality to every compactly supported smooth test by uniform gradient approximation. By step 2.3, belongs to the closure of these gradients. Hence , and therefore almost everywhere. Thus is a minimum-action field; [F6] identifies its action with . The constraint is included: for any absolutely continuous label path in , at a two-sided differentiability time and every , the inequalities for both signs of give . Thus normal-cone terms contribute no velocity pairing, and the constrained minimum cannot be replaced by an unconstrained selection.
Depends on
- Feature-measure energy and its regularity assumptions
- Localized Hilbert lift of the feature energy
- A lower-bounded semiconvex Hilbert energy generates a unique gradient flow
- The localized lifted feature energy is semiconvex
- The localized lifted subdifferential is a pointwise constrained subdifferential
- Wasserstein gradient flow for a feature-measure energy
- The selected pointwise field is a strong Wasserstein subgradient
- Superposition for finite-action Euclidean continuity equations
- Finite-action continuity equations generate AC2 Wasserstein curves
- AC2 curves admit a unique minimum-action velocity field
- The Euclidean quadratic Wasserstein space
- The quadratic Wasserstein distance is a metric
- Bounded linear maps commute with Bochner integration
- Change of variables for expectation
- Dominated convergence
- The Axiom of Choice
- Finite partition energy yields Hilbert-valued AC2 paths
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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, Gigli, and Giuseppe Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures (standard reference, not scraped)