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A weak two-homogeneous projection limit is stationary on its support

Statement

Assume AC, d≥2, the feature-energy hypotheses, and positive two-homogeneity of Φ and V on Ω=Rd. Let μt be a Wasserstein gradient flow with finite initial energy. Suppose the finite measures h2(μt) converge weakly on Sd−1 to a finite nonnegative measure ν. Define Gν(θ)=dRmν[Φ(θ)]+V(θ), where mν=∫Sd−1Φ dν. Then Gν=0 for ν-almost every θ.

Facts & Assumptions

Given: AC, the model and flow in the Statement, and weak convergence of their spherical projections.

[A1]

Assume the Axiom of Choice throughout, as required in the Statement and by the path and characteristic suppliers. The Axiom of Choice

[F1]

The flow velocity is a Borel version of the negative minimum-norm subgradient selection almost everywhere; the characteristic construction supplies its canonical pointwise Borel version. Wasserstein gradient flow for a feature-measure energy One-sided semiconvex characteristics give W2 uniqueness and stability

[F2]

Finite-action continuity-equation solutions have a superposition path law with the prescribed marginals and velocity; the energy identity for an arbitrary finite-energy flow is derived in step 1.1. Superposition for finite-action Euclidean continuity equations Wasserstein gradient flow for a feature-measure energy

[F3]

For positive two-homogeneous Φ,V, their integrals factor through h2; weak convergence of h2 on the compact sphere gives norm convergence of the feature moments. Feature and energy identities for homogeneous projections

[F4]

The full flow potential Pt(u)=dRmμt[Φ(u)]+V(u) is two-homogeneous and semiconvex, so its supporting sets and their minimum-norm selections scale by s under u↦su for s>0. Feature-measure energy and its regularity assumptions Wasserstein gradient flow for a feature-measure energy

[F5]

A W2-continuous path of laws has weakly continuous two-homogeneous projections. W2 convergence implies weak convergence of homogeneous projections

[F6]

Scalar Fubini applies to the time/path integrands with finite absolute integral; bounded linear functionals commute with the Bochner integral, so their scalar identities determine Hilbert-valued integrals. Fubini's theorem for L^1 functions on a sigma-finite product Bounded linear maps commute with Bochner integration

Proof

Given: The assumptions and suppliers in [F1]–[F6].

1.1A1F1F2F4F6givenconstruct

Fix T<∞. W2 continuity bounds M2=sup⁡0≤t≤T∫∣u∣2dμt(u)<∞. Positive two-homogeneity and continuity give a constant C such that ∥Φ(u)∥≤C∣u∣2, ∥dΦu∥≤C∣u∣, and ∣V(u)∣≤C∣u∣2; for the derivative bound, the neighborhood condition puts the unit sphere in some cutoff Qr where dΦ is Lipschitz and bounded; differentiating homogeneity away from 0 then gives ∥dΦu∥≤C∣u∣. Thus mt=∫Φdμt is bounded, and ft=∇R(mt) is bounded on [0,T]. By [F2], choose a path law η with marginals μt and γ˙(t)=vt(γ(t)) almost everywhere. Pathwise FTC for Φ, Cauchy--Schwarz, and scalar/Bochner Fubini [F6] give mt−ms=∫st∫dΦu[vq(u)] dμq(u)dq, since ∫0T∫∥dΦu∥∣vq(u)∣dμqdq≤C(TM2)1/2(∫0TA(q)dq)1/2<∞. Hence mt is absolutely continuous. For almost every (t,u), write the selected subgradient as pt(u)=dΦu∗ft+ξt(u) with ξt(u)∈∂λVV(u); subtracting the first-order expansion of the smooth term in the defining subdifferential inequality gives this decomposition. The flow definition gives pt=−vt. Along almost every path, V∘γ is absolutely continuous because V is locally Lipschitz. At times when γ, V∘γ are differentiable and the supporting inequality holds, testing that inequality at γ(t+h) for both signs of h gives (V∘γ)′(t)=⟨ξt(γ(t)),γ˙(t)⟩. These derivatives are integrable: ∣ξt(u)∣≤∣vt(u)∣+C∣ft∣∣u∣, so ∫0T∫∣ξt∣∣vt∣dμtdt<∞. Taking expectations and using the marginals shows that Pt=∫Vdμt is absolutely continuous with Pt′=∫ξt⋅vtdμt. The chain rule for R(mt) now yields ddtF(μt)=⟨ft,mt′⟩+Pt′=∫(dΦu∗ft+ξt(u))⋅vt(u)dμt(u)=−A(t) almost everywhere. Absolute integrability and the scalar FTC give the all-endpoint energy identity. Since F≥0, it follows that ∫0∞A(t)dt≤F(μ0)<∞.

1.2A1F1givenalgebra

Fix t and u≠0. Write Pt(u)=dRmμt[Φ(u)]+V(u). If ξ∈∂Pt(u), the local subdifferential definition applied along (1+s)u gives lim inf⁡s→0Pt((1+s)u)−Pt(u)−s⟨ξ,u⟩∣s∣ ∣u∣≥0. Since Pt((1+s)u)=(1+s)2Pt(u), the one-sided limits for s↓0 and s↑0 are respectively 2Pt(u)−⟨ξ,u⟩ and its negative. Both must be nonnegative, so ⟨ξ,u⟩=2Pt(u). By [F1], vt(u) is the negative of one such vector, giving ⟨vt(u),u⟩=−2Pt(u).

2.1A1F1F4step 1.2algebra

For s>0, substitute z=sy in the local subdifferential definition of ∂Pt(su). Two-homogeneity gives Pt(z)−Pt(su)−sξ⋅(z−su)=s2(Pt(y)−Pt(u)−ξ⋅(y−u)), while ∣z−su∣=s∣y−u∣. Thus ξ∈∂Pt(u) iff sξ∈∂Pt(su); the reverse implication follows by scaling by 1/s. Hence the minimum-norm selection scales by s, and vt(sθ)=svt(θ) wherever the canonical pointwise selection is defined.

3.1A1F3givenalgebrastep 2.1

Apply [F3] to the weakly convergent projections. Then mμt→mν in Hilbert norm. The differentials dRmμt converge in operator norm to dRmν by local Lipschitz continuity; since Φ and V are bounded on the sphere, Gt(θ):=Pt(θ) converges uniformly to Gν(θ). In particular, weak convergence and boundedness of the masses give a(t):=∫Sd−1Gt(θ)2 dh2(μt)(θ)⟶∫Sd−1Gν(θ)2 dν(θ)=:a∞.

4.1A1F2F3F4F5step 1.1step 1.2step 2.1step 3.1∎

By [F5] and the uniform convergence in step 3.1, a(t) is measurable. By [F3] and [F4], positive one-homogeneity of the velocity gives ∫∣vt(u)∣2dμt(u)=∫∣vt(θ)∣2dh2(μt)(θ). Step 1.2 on the unit sphere gives 2Gt(θ)=−⟨vt(θ),θ⟩, so 4a(t)≤∫∣vt(θ)∣2dh2(μt)(θ). Integrating and using step 1.1 yields ∫0∞a(t) dt≤F(μ0)/4<∞. A nonnegative function with a finite integral cannot converge to a positive limit; hence a∞=0. Since Gν2 is nonnegative, its zero integral implies Gν=0 ν-almost everywhere.

Source note

Ambrosio--Gigli--Savaré Theorem 11.2.1 assumes a proper, lower-semicontinuous, coercive energy that is convex along generalized geodesics. The local feature-energy assumptions here do not assert those global hypotheses; the needed energy identity is derived directly in step 1.1.

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