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Metric derivatives of AC2 Wasserstein curves
Statement
Assume the Axiom of Choice. If and , then the metric derivative exists for almost every , is measurable and belongs to . For all , It is the least nonnegative square-integrable upper control: if and for all , then almost everywhere.
Statement references
The Euclidean quadratic Wasserstein space
Absolutely continuous curves of order two in Wasserstein space
The quadratic Wasserstein distance is a metric
Fundamental theorem of calculus for absolutely continuous functions
The indefinite integral of an function is differentiable almost everywhere
Holder's inequality for integrals, including the endpoint cases
AC implies DC implies countable choice
The Axiom of Countable Choice ()
Ambrosio, Gigli, and Savaré, Gradient Flows, Theorem 1.1.2
Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.2
Facts & Assumptions
Given: AC and a curve with an upper control .
A real absolutely continuous function on a compact interval is differentiable almost everywhere and equals its initial value plus the integral of its derivative; the indefinite integral of an function has derivative equal to that integrand almost everywhere. These scalar facts require Countable and Dependent Choice. Fundamental theorem of calculus for absolutely continuous functions The indefinite integral of an function is differentiable almost everywhere The Axiom of Countable Choice () The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain
AC implies the countable- and dependent-choice principles in [F1]. The Axiom of Choice AC implies DC implies countable choice
Holder on the finite interval gives from . Holder's inequality for integrals, including the endpoint cases
The Wasserstein distance satisfies the triangle inequality, hence the reverse triangle inequality for distance to a fixed point. The quadratic Wasserstein distance is a metric
Proof
Let together with . For each , set . The reverse triangle inequality and the assumed control give , so is absolutely continuous. By [F1], it has a derivative almost everywhere, and because by Holder, at common differentiability points of and , difference quotients give . Since is countable, outside one null set all these derivatives exist and are bounded by . Define there and set on the null set. Difference quotients along give measurable versions of the scalar derivatives, so is measurable; also almost everywhere and hence .
For any , continuity of the curve and density of imply The inequality from right to left is the reverse triangle inequality. For the other direction take with ; then and . For each q, [F1] and step 1.1 give . Taking the supremum proves .
The function is absolutely continuous, and [F1] gives almost everywhere. At a time t where is differentiable and every is differentiable, step 2.1 gives while gives a lower limit at least for every q. Taking the supremum yields a lower limit at least . Thus the metric derivative exists and equals almost everywhere. The interval bound and square integrability follow from step 2.1 and .
Let h be any other nonnegative upper control. Repeating the scalar difference-quotient bound of step 1.1 with h gives almost everywhere for each q. Countability of D lets these inequalities hold off a single null set, so there. By step 3.1, almost everywhere, proving leastness.
Depends on
- The Euclidean quadratic Wasserstein space
- Absolutely continuous curves of order two in Wasserstein space
- The quadratic Wasserstein distance is a metric
- Fundamental theorem of calculus for absolutely continuous functions
- The indefinite integral of an $L^1$ function is differentiable almost everywhere
- Holder's inequality for integrals, including the endpoint cases
- The Axiom of Choice
- AC implies DC implies countable choice
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
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Sources
- Luigi Ambrosio, Nicola Gigli, and Giuseppe Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, Theorem 1.1.2 (standard reference, not scraped)
- Filippo Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.2 (standard reference, not scraped)