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The localized Wasserstein gradient flow exists, satisfies EVI, and is unique

Statement

Assume AC and the feature-measure energy hypotheses. Let r>0 and let μ0∈P2(Ω) have finite energy and be concentrated on Qr. There is a unique curve μ:[0,∞)→P2(Qr) in ACloc2 that starts at μ0, solves the continuity equation with velocity equal almost everywhere to the negative minimum-norm element of ∂(F′(μt)+ιQr), and satisfies F(μt)−F(μs)=−∫st∫∣vq(u)∣2dμq(u)dq(0≤s≤t<∞). Writing λr=λV−LrAr2−NrBr, it also satisfies the evolution variational inequality 12ddtW22(μt,η)+λr2W22(μt,η)≤F(η)−F(μt) for each fixed η∈P2(Qr) and almost every t>0 (with the exceptional null set allowed to depend on η). Any two such localized flows obey W2(μt,νt)≤e−λrtW2(μ0,ν0).

Facts & Assumptions

Given: AC, r, μ0, and the model regularity hypotheses.

[F1]

The localized lift is a proper lower-bounded semiconvex energy on a separable Hilbert space; its gradient flow exists uniquely for all time and satisfies the Hilbert energy identity. A lower-bounded semiconvex Hilbert energy generates a unique gradient flow The localized lifted feature energy is semiconvex

[F2]

The Hilbert flow pushes forward to a finite-action continuity-equation solution and an AC2 Wasserstein curve with the displayed minimum pointwise velocity. The Hilbert lift induces the localized Wasserstein continuity equation

[F3]

The model energy has the all-coupling strong subgradient inequality with coefficient λr. The selected pointwise field is a strong Wasserstein subgradient

[F4]

Along a finite-action continuity equation, squared distance to a fixed measure has derivative bounded above by the velocity-pairing with any optimal coupling. Derivative of squared W2 distance along a finite-action continuity equation

[F5]

Any two localized continuity-equation solutions with these velocities satisfy the stated W2 stability estimate. One-sided semiconvex characteristics give W2 uniqueness and stability

[F6]

AC is the inherited axiom in [F1]–[F5]. The Axiom of Choice

Proof

Given: AC, r, μ0 and the hypotheses in the Statement.

1.1F1F2F6construct

Form the label Hilbert space K=L2(μ0;Rd) and the initial vector X0(s)=s. This Euclidean Borel label space is countably generated, so its d-vector L2 space is separable under the generalized label-space interface. It has finite Er because F(μ0)<∞. [F1] yields the unique Hilbert gradient flow Xt for all t≥0. Define μt=(Xt)#μ0. By [F2] this curve solves the localized continuity equation with the prescribed minimum-norm velocity and is in ACloc2.

2.1F1F2step 1.1

The Hilbert energy identity in [F1] is Er(Xt)−Er(Xs)=−∫st∥X˙q∥K2dq. By [F2], X˙q(s)=vq(Xq(s)) almost everywhere and Er(Xq)=F(μq). The change-of-variables identity for the pushforward therefore gives the displayed Wasserstein energy identity.

2.2F3F4step 1.1

Fix η∈P2(Qr) and a time where [F4] applies. Choose an optimal coupling γt of μt,η. The derivative estimate [F4] gives 12ddtW22(μt,η)≤∫(x−y)⋅vt(x)dγt=−∫gμt(x)⋅(x−y)dγt. By [F3], F(η)≥F(μt)+∫gμt(x)⋅(y−x)dγt+λr2W22(μt,η). Combining the inequalities proves the EVI.

3.1F5step 1.1∎

If μ and ν are two such solutions, [F5] gives their stability estimate; equal initial data imply W2(μt,νt)=0 for every t, hence equality of the measures and uniqueness. The construction in step 1.1 proves existence.

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