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Kantorovich–Rubinstein duality for endpoint masses on a compact interval
Example
Let with the Euclidean metric, let and , where if and otherwise for each Borel set . For the base point , the coupling cost is , and the supremum over 1-Lipschitz functions with is also , attained by .
Facts & Assumptions
Given: The probability measures, compact interval, and base point are as in the Example.
The closed interval is compact in the Euclidean metric. Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
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
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
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
In a metric space each singleton is closed: for , the ball avoids . Coordinate projections are continuous in the product topology, so is closed and hence Borel in . Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space The Borel sigma-algebra of a topological space
A measure is countably additive on disjoint measurable sets; this implies monotonicity and finite subadditivity. Measures on sigma-algebras
Verification
By [F1], is a compact metric space, so [F2] applies. The point is Borel by [F5], and [F3] makes a Borel probability measure. Its coordinate marginals are and , so it is admissible; [F3] gives its cost as . Thus .
Let be any feasible real-valued function, so it is 1-Lipschitz and hence continuous and Borel measurable. Its parts and are nonnegative measurable functions by [F4]. Applying [F3] to each part, for we get and . Thus [F4] makes integrable against both endpoint masses and gives . In particular, is feasible and has integrals and , so its objective is . Every feasible has objective , so the dual supremum is exactly .
For any admissible coupling , the marginal conditions give and . 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 . For any Borel , if then , while if then lies in the null complement of that singleton, so ; hence . Therefore every admissible cost is , and step 1.1 gives .
Steps 1.2 and 2.1 compute the primal and dual values as , proving the example's claimed equality.
Depends on
- The coupling definition of the 1-Wasserstein cost on a compact metric space
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- The Dirac set function at a point
- A Dirac set function is a probability measure
- Integration against a Dirac measure evaluates at its point
- Integrable real and complex functions, and their integrals
- Measures on sigma-algebras
- The product set $\prod_{i \in I} X_i$ of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- The Borel sigma-algebra of a topological space
Used by
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Sources
- Dmitriy Panchenko, Lecture Notes on Probability Theory, §4.4, Theorem 4.14 and proof, pp. 121–124 (standard reference, not scraped)
- Filippo Santambrogio, Introduction to Optimal Transport Theory, §§1.1–1.3, PDF pp. 1–7 (standard reference, not scraped)