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Weak transport identity for characteristic mean-field solutions
Statement
Let be the characteristic solution for a globally Lipschitz kernel on . For every and ,
Facts & Assumptions
Given: A characteristic solution in the weighted path-integrability convention of Characteristic solution of a probability mean-field equation, a globally Lipschitz kernel, and . The proof is conditional on that solution.
The flow equation and pushforward formula hold for the characteristic solution (Characteristic solution of a probability mean-field equation); coordinatewise Borel maps into Euclidean products are Borel by the product-sigma identification (The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n}).
Differentiable compositions obey the chain rule (The chain rule for total derivatives: ).
Fubini exchanges integrals for absolutely integrable functions on sigma-finite product spaces (Fubini's theorem for L^1 functions on a sigma-finite product).
Tonelli integrates the nonnegative linear-growth bounds and proves absolute integrability (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
Dominated convergence passes pointwise convergence through an integral under an integrable majorant (Dominated convergence).
Proof
For -almost every label , the path is absolutely continuous. For a fixed label, its velocity is continuous in time: the integrand converges pointwise for almost every second label and is dominated by the integrable path supremum in the definition, so [F5] applies. Thus its path is , and the ordinary chain rule [F2] and defining ODE [F1] give The integrand is absolutely integrable over time and both labels: is bounded, and [F1] bounds by a constant plus , whose label integrals are finite uniformly in . This last bound and [F4] justify the exchanges; [F5] supplies the stated velocity continuity.
Integrate step 1.1 in against . The left side becomes the two displayed measure integrals by the pushforward formula [F1]. By [F3] and the absolute-integrability check in step 1.1, exchange the time and label integrals. Replacing by their pushforward variables gives the right side of the Statement.
Depends on
- Characteristic solution of a probability mean-field equation
- The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n}
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- Fubini's theorem for L^1 functions on a sigma-finite product
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Dominated convergence
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- François Golse, Mean-Field Limits in Statistical Dynamics, Lecture 1 (standard reference, not scraped)