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Smooth compact tests determine phase-space probabilities
Statement
Use and from Wasserstein-1 coupling cost on dimensionless phase space. Let and be Borel probability measures on . If
where means smooth and periodic in position with compact velocity support, then on all Borel subsets of .
Facts & Assumptions
Given: The phase metric and Borel structure on , two Borel probability measures agreeing on smooth compactly supported tests, and the suppliers below.
Wasserstein-1 coupling cost on dimensionless phase space: is a metric generating the product Borel structure on .
Explicit compactly supported smooth cutoffs: there is a smooth cutoff on with , equal to one on the radius- ball and supported in the radius- ball; for each fixed , as .
Dominated convergence: bounded pointwise-convergent integrands under a finite measure may be passed to the limit in their integrals.
Dynkin's pi-lambda theorem: probability measures agreeing on a generating pi-system agree on its generated sigma-algebra.
The one-dimensional torus and its normalized Haar integral: for every , the normalized torus probability is defined by push-forward of Lebesgue measure on , and is Lebesgue measure on ; the product topology has the product Borel sigma algebra.
Proof
Fix a bounded Lipschitz function . Use and from [F5]. Choose the smooth cutoff of [F2] and set on , where ; its integral is positive and finite because on the unit ball and is supported in the radius-two ball. Thus is a nonnegative smooth probability density supported in the unit ball. For , define and periodize it to by , where is any representative. The sum is locally finite and independent of the representative; the fundamental-domain formula for in [F5], followed by the change of variables , gives integral one, and its support satisfies . Set . Differentiating the compactly supported smooth kernels under the integral shows that is smooth, and their nonnegativity and unit integrals give . On their support, and , so . For each , is in , so its integrals agree by the hypothesis. Let and apply [F3] to each probability measure; then let and use uniform convergence. Thus and have equal integrals for every bounded Lipschitz .
If is a nonempty closed set, distance to is 1-Lipschitz by the triangle inequality. Hence is bounded Lipschitz and decreases pointwise to . Step 1.1 gives equal integrals of , and [F3] gives . The empty closed set has mass zero for both. Let . Since and are probabilities, ; equality of total mass makes closed under complements in , and countable additivity makes it closed under countable disjoint unions. Thus is a lambda-system. The sum metric induces the product topology on , so its closed sets form a pi-system containing and generating . Apply [F4] to this pi-system and to get .