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Exact quadratic feature-energy flow and particle limit

Example

Assume AC. In dimension d≥1, take H={0}, R=0, Φ=0, Ω=Rd, V(x)=∣x∣2/2, and Qr=B‾(0,r) for every r>0. This cutoff family has the required relative-neighborhood property, and sup⁡Qr∥∂V∥=r≤1+r, so C1=C2=1 works. Thus F(μ)=12∫∣x∣2dμ(x). For any μ0∈P2(Rd), the unique Wasserstein gradient flow is μt=(e−tid⁡)#μ0. The corresponding m-particle gradient flow satisfies xi(t)=e−txi(0) under the inner product m−1∑ixi⋅yi. For every empirical probability μm,0 and every t≥0, W2(μm,t,μt)=e−tW2(μm,0,μ0), so any initial convergence in W2 persists uniformly on every compact time interval.

Facts & Assumptions

Given: AC, d≥1, μ0∈P2(Rd), and an empirical initial probability μm,0.

[F1]

Expanding the defining inequality for ∂0V gives V(y)−V(x)−x⋅(y−x)=∣y−x∣2/2≥0, and the first-order directional limit forces every subgradient to equal x. Thus the minimum-norm subgradient is x. Feature-measure energy and its regularity assumptions

[F2]

The quadratic Wasserstein distance is the square root of the infimum of the squared displacement cost over couplings. The Euclidean quadratic Wasserstein space

[F3]

AC is assumed in the flow and transport results. The Axiom of Choice

[F4]

Finite-action continuity-equation solutions are represented by absolutely continuous characteristic paths. Superposition for finite-action Euclidean continuity equations

Proof

Given: The data in the Example.

1.1F1F3F4algebra

The characteristic equation x˙=−x with x(0)=x0 has the solution x(t)=e−tx0, as direct differentiation verifies. Pushing μ0 forward by this map gives a continuity-equation solution with velocity vt(x)=−x. Its action on [0,T] is finite because ∫∣x∣2dμt=e−2t∫∣x∣2dμ0. For compactly supported initial laws it is the flow identified by the global uniqueness theorem. For arbitrary μ0∈P2, the same conclusion follows directly: every finite-action PDE solution with the prescribed smooth velocity −x is represented by its unique characteristics via superposition, so it equals this pushforward, even when μ0 lies in no finite cutoff.

1.2F1algebra

The metric m−1∑ixi⋅yi gives the particle gradient of m−1∑i∣xi∣2/2 equal to (x1,…,xm), so the same scalar ODE gives xi(t)=e−txi(0). Consequently μm,t=(e−tid⁡)#μm,0.

2.1F2step 1.2algebra∎

For a>0, pushing both marginals of any coupling forward by x↦ax multiplies its quadratic cost by a2; applying the inverse scaling gives the reverse inequality for the infimum. Thus W2(a#α,a#β)=aW2(α,β). Apply this with a=e−t, α=μm,0, and β=μ0 to obtain the displayed identity. Since e−t≤1, its supremum for 0≤t≤T is at most the initial W2 error, proving compact-time uniform convergence.

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