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A separating two-homogeneous flow has globally minimizing projection limits

Statement

Assume AC and the full two-homogeneous hypotheses on Ω=Rd, d≥2: convex differentiable risk with the prescribed derivative bounds, positive two-homogeneity of Φ,V, the dense-regular-value condition, and the feature-energy assumptions. Let μt be a Wasserstein gradient flow whose initial support is compact, lies in B(0,rb), and separates raSd−1 from rbSd−1 for 0<ra<rb. If h2(μt) converges weakly as finite measures on Sd−1 to ν, then the measure ν viewed on Rd is a global minimizer of F over finite nonnegative Borel measures, and F(μt)→F(ν)=inf⁡λ≥0F(λ).

Facts & Assumptions

Given: AC, the two-homogeneous flow, its separated initial support, and weak convergence of its projections.

[A1]

AC is inherited by the flow, characteristic, degree and minimum-norm constructions. The Axiom of Choice

[F1]

A weak two-homogeneous projection limit is stationary: Gν=0 ν-almost everywhere. A weak two-homogeneous projection limit is stationary on its support

[F2]

If ν is not a minimizer, convexity and first-variation optimality give a direction where Gν<0; the regular-value hypothesis supplies the compact negative sublevel needed for escape. First variation and optimality over nonnegative measures Negative regular sublevels force two-homogeneous projection escape

[F3]

Spherical separation is preserved for every finite time, and the support is the image of the initial support under the characteristic map. A homogeneous flow preserves spherical support separation

[F4]

In the nonoptimal case, positive mass in the negative cone forces the projection to exit every sufficiently small bounded-Lipschitz neighborhood of ν. Negative regular sublevels force two-homogeneous projection escape

[F5]

Weak convergence of h2(μt) gives convergence of the feature moment in Hilbert norm and convergence of the regularizer integral. Feature and energy identities for homogeneous projections

[F6]

Under AC, an equicontinuous family of continuous functions from a compact metric space to a compact interval has compact closure in the uniform topology. Ascoli–Arzelà in the uniform topology for nonempty compact metric domains

Proof

Given: AC, the flow and convergence in the Statement, and [F1]–[F5].

1.1A1F1F2givenassume-contra

Suppose for contradiction that ν is not a global minimizer. By [F1] and [F2], Gν vanishes ν-almost everywhere but is negative at some sphere point. Choose a negative regular sublevel K with that point in its interior, as in [F2].

2.1A1F3F4F6givenstep 1.1

Weak convergence on the compact sphere implies convergence of total masses by testing the constant function. The bounded-Lipschitz unit ball is equicontinuous and uniformly bounded; Arzelà–Ascoli [F6] gives a finite uniform δ-net for it. Weak convergence controls each member of that finite net, and the convergent masses bound the error from replacing any test by its net representative. Letting δ↓0 proves bounded-Lipschitz convergence. Thus there is t0 after which ∥h2(μt)−ν∥BL<ϵ, where ϵ is the escape radius from [F4]. By [F3], the support at t0 separates some spheres ρaSd−1 and ρbSd−1 with 0<ρa<ρb. For a point θ0∈int⁡K, the radial path r↦rθ0 between these spheres must meet spt⁡μt0. That support point has positive radius and direction in int⁡K; every sufficiently small open neighborhood of it has positive μt0 mass, so the negative cone in [F4] has positive mass.

3.1A1F4step 2.1

Applying [F4] at time t0 gives t1>t0 with ∥h2(μt1)−ν∥BL≥ϵ, contradicting the choice of t0. Thus ν is a global minimizer.

4.1A1F5step 3.1discharge-contradiction∎

By [F5], F(μt)→F(ν). Since ν is a minimizer over all finite nonnegative measures, F(ν)=inf⁡λ≥0F(λ). This proves both conclusions.

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