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Regularized continuity equations are represented by characteristic flows
Statement
Assume AC. Let be the Gaussian-regularized solution from the preceding lemma on , and write . There is a unique maximal local flow solving , . For -almost every x the path exists on all of , the map from x to its path is Borel on this full-measure domain, and for every ,
Statement references
Finite-action continuity equation in Euclidean space
Gaussian regularization preserves finite-action continuity equations
Local flows for time-measurable fields with integrable local bounds
Assuming countable choice, Borel probability measures on Polish spaces are inner regular
Fubini's theorem for L^1 functions on a sigma-finite product
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Monotone convergence for the integral
Holder's inequality for integrals, including the endpoint cases
Euclidean spaces admit a smooth compactly supported unit-mass bump
The mollifier family generated by a unit-mass smooth bump
Convolution with a mollifier is smooth, and derivatives pass under the integral sign
AC implies DC implies countable choice
The Axiom of Countable Choice ()
Ambrosio, Gigli, and Savaré, Gradient Flows, Chapter 8, §8.1 (characteristics and regularization)
Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.3
Facts & Assumptions
Given: AC, the positive smooth densities , the locally time-integrably Lipschitz vector field , its distributional continuity equation, and finite action.
The Gaussian-regularized pair has positive spatially smooth density, solves the continuity equation, and has finite action. Gaussian regularization preserves finite-action continuity equations
A Borel field with integrable local magnitude and Lipschitz bounds has a unique maximal local flow; its time maps are diffeomorphisms between their open domains and images, and an interior maximal endpoint requires escape from every compact set. Local flows for time-measurable fields with integrable local bounds
A finite Borel probability on a Polish space is inner regular; on a Euclidean open set, compactly supported continuous functions are uniformly approximated by smooth compactly supported functions by convolving their zero extensions with a unit-mass bump of sufficiently small support. Assuming countable choice, Borel probability measures on Polish spaces are inner regular Euclidean spaces admit a smooth compactly supported unit-mass bump The mollifier family generated by a unit-mass smooth bump Convolution with a mollifier is smooth, and derivatives pass under the integral sign
Tonelli and Fubini apply to the nonnegative action and integrable first-derivative terms; Holder bounds first moments by the square root of finite second action. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product Fubini's theorem for L^1 functions on a sigma-finite product Holder's inequality for integrals, including the endpoint cases
AC supplies Countable Choice, so every Borel probability on a Polish space is inner regular; a nonzero finite Borel measure inherits this by normalization. An open is Polish: is a complete compatible metric, since a -Cauchy sequence has a Euclidean limit and bounded reciprocal distance prevents that limit from lying on ; the case uses its Euclidean metric. The Axiom of Choice AC implies DC implies countable choice The Axiom of Countable Choice () Assuming countable choice, Borel probability measures on Polish spaces are inner regular Polish spaces are separable completely metrizable spaces
Dominated convergence applies to sequences bounded by an integrable function on either finite measure. Dominated convergence
Monotone convergence passes increasing nonnegative truncations through the measures and time integral. Monotone convergence for the integral
Proof
Apply [F2] to and denote by the open set of initial points whose trajectories exist from time 0 through t, and by its open image. Fix and . For and , the set of states whose trajectories exist from r to t, define ; extend it by zero outside . Since is compactly contained in , its backward images form a compact subset of the flow domain. Thus has compact spatial support uniformly in r, is continuously differentiable in x, and is absolutely continuous in r locally. The start-time derivative from [F2] and the flow identity give almost everywhere.
For this fixed t define the restricted finite pushforward on by for Borel . The set is Borel because is continuous on the open domain ; preimages preserve disjoint unions, so is a finite Borel measure of mass . The weak continuity-equation identity extends from smooth compact tests to compactly supported tests that are in x and absolutely continuous in r with locally integrable time derivative: multiply by a time cutoff, convolve in time and space on a fixed compact neighborhood, and pass to the limit. The terms converge because is locally bounded, is locally integrable in time and space by finite action, and the test and its spatial gradient converge uniformly while its time derivative converges in . Apply this extension to from step 1.1 for every smooth compactly supported time cutoff . The transport equation leaves , so is constant on . Continuity of the flow and of extends the identity to r=0,t, giving for every . Uniform mollification extends equality to every ; both measures are finite, so uniform limits pass through their integrals. For a compact , choose n sufficiently large that the closed -neighborhood of K is compactly contained in and set . Then and , so [F6] gives . By [F5], both finite Borel measures on the Polish space are inner regular; their agreement on compact sets therefore proves .
For every , step 2.1 gives equality of the restricted finite measures on . Applying it to and letting by [F7] yields . Let . This domain is relatively open in and is continuous on it: cover any compact trajectory segment through by finitely many local flow neighborhoods from [F2] and patch their continuous dependence on the initial point; time continuity follows from the integral equation. Thus the integrand is Borel; extend it by zero off . Tonelli [F4] then gives Thus for -almost every x the path has finite squared speed integral up to its maximal endpoint. Holder then makes its total path length finite. Such a path is Cauchy at any finite endpoint; it cannot escape every compact set, contradicting [F2] if an endpoint lies in . At T it has a finite limit and extends continuously to T. Thus .
For each t, step 2.1 identifies with , where this restricted pushforward is the finite measure defined in step 2.1. Since and by step 3.1, . Hence , and the equality of restricted measures extends to all Borel subsets of . Because is open and is continuous there, extend to all of by setting it to zero off ; this is Borel and its pushforward is since . Thus . This proves the claim for every t, with the unique flow given by [F2].
Depends on
- Finite-action continuity equation in Euclidean space
- Gaussian regularization preserves finite-action continuity equations
- Local flows for time-measurable fields with integrable local bounds
- Assuming countable choice, Borel probability measures on Polish spaces are inner regular
- Fubini's theorem for L^1 functions on a sigma-finite product
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Holder's inequality for integrals, including the endpoint cases
- Dominated convergence
- Monotone convergence for the integral
- Euclidean spaces admit a smooth compactly supported unit-mass bump
- The mollifier family generated by a unit-mass smooth bump
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- The Axiom of Choice
- AC implies DC implies countable choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Borel probability law on a polish space
- Measures on sigma-algebras
- Polish spaces are separable completely metrizable spaces
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Sources
- Luigi Ambrosio, Nicola Gigli, and Giuseppe Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, Chapter 8, §8.1 (characteristics and regularization) (standard reference, not scraped)
- Filippo Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.3 (standard reference, not scraped)