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Dobrushin stability in 1-Wasserstein distance for mean-field flows
Statement
Let have two-variable Lipschitz constant as in Globally Lipschitz mean-field interaction kernel, and let be characteristic solutions from probability measures with finite first moments. For every , The estimate is proved for every prescribed initial coupling before taking the infimum; existence of an optimal coupling is not assumed.
Facts & Assumptions
Given: Two characteristic solutions for the same kernel , with finite-first-moment initial probabilities.
The two-variable kernel difference is at most (Globally Lipschitz mean-field interaction kernel).
Each solution is the pushforward of its initial law by its characteristic flow (Characteristic solution of a probability mean-field equation); the coordinatewise Borel pair maps take values in the Euclidean product Borel space (The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n}).
The relevant values are finite by the product-coupling bound (The coupling infimum is finite for finite-first-moment probabilities).
Tonelli and Fubini justify the nonnegative bounds and exchanges over the coupling and time variables (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Fubini's theorem for L^1 functions on a sigma-finite product).
Dominated convergence gives continuity of the transported cost from the integrable path supremum (Dominated convergence).
If for nonnegative continuous and constants , then (Gronwall's integral inequality with variable and constant coefficients).
Proof
Fix any and transport it by the two flows: Its marginals are . Set . This is finite and continuous by the first moments, the integrable path suprema, and [F5].
For each initial pair, subtract the characteristic equations and apply [F1]. Integrating over yields because the first coordinate difference contributes , while the averaged interaction-coordinate difference contributes another by the marginal identities of . Applying [L1] gives . Since is an admissible coupling, [F3] implies .
The inequality in step 2.1 holds for every . Taking the infimum of its right side gives the Statement by the definition of in [F3]; no minimizer is required.
Depends on
- The coupling definition of the 1-Wasserstein distance
- Globally Lipschitz mean-field interaction kernel
- Characteristic solution of a probability mean-field equation
- The coupling infimum is finite for finite-first-moment probabilities
- The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n}
- Gronwall's integral inequality with variable and constant coefficients
- For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Fubini's theorem for L^1 functions on a sigma-finite product
- Dominated convergence
Used by
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Sources
- François Golse, Mean-Field Limits in Statistical Dynamics, Lecture 1 (standard reference, not scraped)
- Simon Mayer, The Vlasov Equation and Mean Field Limit of a Particle System (standard reference, not scraped)