Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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Kantorovich–Rubinstein duality for endpoint masses on a compact interval

Example

Let X=[0,1] with the Euclidean metric, let μ=δ0 and ν=δ1, where δa(A)=1 if a∈A and 0 otherwise for each Borel set A. For the base point x0=0, the coupling cost is W1X(μ,ν)=1, and the supremum over 1-Lipschitz functions f with f(0)=0 is also 1, attained by f(x)=−x.

Facts & Assumptions

Given: The probability measures, compact interval, and base point are as in the Example.

[F2]

W1X is the infimum of the integral of the metric over Borel probability couplings with the prescribed marginals. The coupling definition of the 1-Wasserstein cost on a compact metric space

[F3]

The Dirac set function is a probability measure, and integrating a nonnegative measurable function against it evaluates that function at the point. The Dirac set function at a point A Dirac set function is a probability measure Integration against a Dirac measure evaluates at its point

[F4]

A real function is integrable when its positive and negative parts have finite nonnegative integrals, and its signed integral is the difference of those integrals. Integrable real and complex functions, and their integrals

[F6]

A measure is countably additive on disjoint measurable sets; this implies monotonicity and finite subadditivity. Measures on sigma-algebras

Verification

1.1givenF1F2F3F5construct

By [F1], X=[0,1] is a compact metric space, so [F2] applies. The point (0,1) is Borel by [F5], and [F3] makes δ(0,1) a Borel probability measure. Its coordinate marginals are δ0 and δ1, so it is admissible; [F3] gives its cost as d(0,1)=1. Thus W1X(μ,ν)≤1.

1.2givenF3F4algebra

Let h be any feasible real-valued function, so it is 1-Lipschitz and hence continuous and Borel measurable. Its parts h+=max⁡{h,0} and h−=max⁡{−h,0} are nonnegative measurable functions by [F4]. Applying [F3] to each part, for c∈{0,1} we get ∫h+ dδc=h+(c)<∞ and ∫h− dδc=h−(c)<∞. Thus [F4] makes h integrable against both endpoint masses and gives ∫h dδc=h+(c)−h−(c)=h(c). In particular, f(x)=−x is feasible and has integrals f(0)=0 and f(1)=−1, so its objective is 1. Every feasible g has objective g(0)−g(1)≤∣g(0)−g(1)∣≤1, so the dual supremum is exactly 1.

2.1givenF2F3F5F6step 1.1algebra

For any admissible coupling γ, the marginal conditions give γ({0}×X)=1 and γ(X×{1})=1. The complement of their intersection has measure zero: each of the two complements is null, and finite subadditivity follows from the measure axioms [F6]. Their intersection is {(0,1)}. For any Borel E, if (0,1)∈E then γ(E)=1, while if (0,1)∉E then E lies in the null complement of that singleton, so γ(E)=0; hence γ=δ(0,1). Therefore every admissible cost is 1, and step 1.1 gives W1X(μ,ν)=1.

3.1step 1.2step 2.1∎

Steps 1.2 and 2.1 compute the primal and dual values as 1, proving the example's claimed equality.

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