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Wasserstein metric and continuity-equation foundations — Examples

1 · Prerequisites

2 · Logical flowchart

3 · Definitions, theorems and proofs

None yet.

4 · Examples, counterexamples and false statements

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Translation of a Dirac mass

Example

Assume AC. Let d≥1 be an integer, T>0, and a,b∈Rd. The curve μt=δa+tb belongs to AC2([0,T];P2(Rd)), has constant metric speed ∣b∣, and the Borel field vt(x)=b solves the continuity equation. Its action is T∣b∣2, equal to the minimum action among fields solving that equation for this curve.

Facts & Assumptions

Given: AC, an integer d≥1, T>0, and a,b∈Rd.

[F1]

A coupling of two Dirac laws is forced to put all mass at the sole pair of support points, so the quadratic Wasserstein distance is W2(δx,δy)=∣x−y∣. The Euclidean quadratic Wasserstein space The Dirac set function at a point

[F2]

For a continuously differentiable scalar function, the total-derivative chain rule and fundamental theorem identify the integral of its derivative with its endpoint difference. The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a) The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a)

[F3]

The minimum-velocity theorem says the least action of any admissible velocity for an AC2 curve is the integral of its squared metric speed. AC2 curves admit a unique minimum-action velocity field

Proof

1.1givenF1

For s,t∈[0,T], any coupling of δa+sb and δa+tb is concentrated at ((a+sb),(a+tb)), hence [F1] gives W2(μs,μt)=∣t−s∣∣b∣. For every bounded continuous f, f(a+tb) is continuous, so the curve is narrowly continuous. Thus it is AC2 with constant metric derivative ∣b∣ (the endpoint difference quotient is exactly ∣b∣ at every interior time).

2.1F2F3step 1.1∎

For φ∈Cc∞((0,T)×Rd), the chain rule gives ddtφ(t,a+tb)=∂tφ(t,a+tb)+∇xφ(t,a+tb)⋅b. The left side integrates to zero over [0,T] because the test vanishes near both time endpoints; this is exactly the weak continuity-equation identity for μt=δa+tb and vt=b. Its action is ∫0T∣b∣2dt=T∣b∣2. By [F3] and step 1.1, this equals ∫0T∣μ˙t∣2dt, the minimum action.

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An isotropic Gaussian Wasserstein geodesic

Example

Assume AC. Let d≥1, m0,m1∈Rd, and σ0,σ1>0. Let ξ have density (2π)−d/2e−∣z∣2/2 on Rd, put mt=(1−t)m0+tm1 and σt=(1−t)σ0+tσ1, and set μt=Law⁡(mt+σtξ) for 0≤t≤1. Then μt is a constant-speed W2 geodesic, meaning W2(μs,μt)=∣t−s∣W2(μ0,μ1) for all s,t∈[0,1], from the laws of m0+σ0ξ to the law of m1+σ1ξ, with W2(μ0,μ1)2=∣m1−m0∣2+d(σ1−σ0)2. The Borel field vt(x)=m1−m0+σ1−σ0σt(x−mt) solves the continuity equation and has action equal to this squared distance, hence is minimum-action. The strict positivity of σ0 and σ1 ensures σt>0 throughout; degenerate covariances are excluded.

Example references

Facts & Assumptions

Given: AC, d,m0,m1,σ0,σ1 as stated, and the standard Gaussian law on Rd.

[F1]
[F2]

Each coordinate has mean zero and variance one by the normal moment theorem; finite sums give Eξ=0 and E∣ξ∣2=d. Under any coupling of the scaled laws, the centered marginals therefore have second moments dσ2 and dτ2. Location-scale normal laws have their stated mean and variance Moments, variance, and covariance on a probability space Linearity, monotonicity, and the modulus bound for expectation Change of variables for expectation

[F3]

Holder bounds the centered cross moment by (E∣U∣2E∣V∣2)1/2. Holder's inequality for integrals, including the endpoint cases

[F4]

The minimum-velocity theorem identifies the least action of an AC2 curve with the integral of its squared metric speed. AC2 curves admit a unique minimum-action velocity field

[F5]

Dominated convergence passes bounded continuous test functions through the Gaussian law as its affine parameters vary continuously. Dominated convergence

Proof

1.1A1F1F2F3algebra

Write μm,σ=Law⁡(m+σξ). Let X,Y be any coupling of μm,σ and μn,τ, and set U=X−m, V=Y−n. Since EU=EV=0, expansion gives E∣X−Y∣2=∣m−n∣2+E∣U∣2+E∣V∣2−2E(U⋅V). By [F1] and [F2], this is at least ∣m−n∣2+d(σ2+τ2−2στ)=∣m−n∣2+d(σ−τ)2. Conversely, couple the two laws by X=m+σξ, Y=n+τξ using the same standard Gaussian vector. The moments in [F1] give E∣X−Y∣2=∣m−n∣2+d(σ−τ)2. Taking the infimum proves W2(μm,σ,μn,τ)2=∣m−n∣2+d(σ−τ)2.

2.1step 1.1algebra

Apply step 1.1 to (ms,σs) and (mt,σt). Their differences are (t−s)(m1−m0) and (t−s)(σ1−σ0), so W2(μs,μt)=∣t−s∣∣m1−m0∣2+d(σ1−σ0)2. This proves the constant-speed geodesic claim and identifies its speed.

3.1A1F1F2F3F4F5F6step 1.1step 2.1algebra∎

For each z, define γz(t)=mt+σtz. Direct differentiation gives γ˙z=m1−m0+(σ1−σ0)z=vt(γz(t)). For any bounded continuous test f, dominated convergence [F4] gives ∫fdμt=E[f(mt+σtξ)] continuously in t, so the curve is narrowly continuous. For a compactly supported smooth test φ, the chain rule [F6] gives ddtφ(t,γξ(t))=∂tφ(t,γξ(t))+∇φ(t,γξ(t))⋅vt(γξ(t)). Integrate over t and the Gaussian law. The FTC [F6] and the test vanishing near both time endpoints make the time integral zero; its derivative is integrable since vt(γξ(t)) is affine in ξ with finite first moment by [F2, F3]. The resulting identity is the weak continuity equation for μt. Also ∫∣vt(x)∣2dμt(x)=E∣m1−m0+(σ1−σ0)ξ∣2=∣m1−m0∣2+d(σ1−σ0)2, using the zero coordinate means and unit variances in [F2]. Its time integral is the squared-distance value from step 1.1, so [F4] makes this velocity minimum-action.

Sources