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Complete global bounded-Lipschitz mean-field characteristic evolution
Statement
Let be the dimensionless phase space from Smooth periodic finite-N and scaled mean-field phase data, let be the odd, bounded, smooth, Lipschitz force in that definition, and put and using its stated operator norm. Let be any Borel probability on with finite first velocity moment . Then there is a unique global characteristic evolution with
and is the push-forward of by ; here the push-forward is defined by for each Borel set . It is narrowly continuous with finite first velocity moment for every . It satisfies the weak Vlasov equation: for every time-dependent function that is bounded with bounded first derivatives and periodic in ,
For the density clause, use and , the normalized torus probability and Euclidean Lebesgue measure defined in The one-dimensional torus and its normalized Haar integral. If has a smooth probability density with respect to and all velocity moments are finite for integers , then is jointly smooth in and the transported density is a classical smooth solution of this Vlasov equation.
Facts & Assumptions
Given: The dimensionless force and scales in Smooth periodic finite-N and scaled mean-field phase data, a Borel probability with finite first velocity moment, and the differential and weak formulations in the Statement.
Smooth periodic finite-N and scaled mean-field phase data: is smooth, periodic and odd; , in the Euclidean operator norm, and .
Smooth state flow for continuous-time smooth-state force fields: a force continuous in time, smooth in state with bounded derivatives, and bounded in magnitude gives a unique complete characteristic flow on every finite interval, smooth in the initial state; its first state derivative solves the variational equation.
Dominated convergence: on an arbitrary measure space, pointwise almost-everywhere convergence under one common integrable majorant permits passage of limits through the integral.
Change of variables on oriented manifolds: an orientation-preserving diffeomorphism preserves integrals of compactly supported smooth top forms on oriented manifolds.
Explicit compactly supported smooth cutoffs: for every there is with , equal to one on the unit ball and zero outside the radius-two ball; has the corresponding radius- and radius- properties.
Monotone convergence for the integral: for nonnegative measurable , on any measure space.
Smooth compact tests determine phase-space probabilities: two Borel probabilities on that agree on smooth compactly supported tests are equal.
Wasserstein-1 coupling cost on dimensionless phase space: has the metric , which generates its Borel sigma-algebra.
The one-dimensional torus and its normalized Haar integral: is the normalized probability induced from Lebesgue measure on the fundamental cube of , and is Lebesgue measure on .
The product measure of two sigma-finite measure spaces and For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique: denotes the product measure on the product Borel sigma algebra; the factors are sigma-finite and the product measure has the rectangle formula.
Proof
Choose with ; when any finite is allowed. For a bounded continuous displacement in on , periodic in and with , set with torus arguments understood modulo . On the closed set , the map has the same bound because . For every convergent sequence of , the integrand is pointwise continuous in those variables and bounded by on ; [F3] therefore gives joint continuity of . Uniform limits preserve continuity, periodicity and the initial condition, so this closed function space is complete in the supremum norm.
For any two displacements , the force arguments change by at most . The Lipschitz bound and give . Starting with and iterating , successive differences are bounded by a geometric sequence with ratio ; hence is uniformly Cauchy. Its limit belongs to the closed complete set, and the Lipschitz estimate gives . The same estimate makes this fixed point unique.
Put modulo the torus and . The Volterra formula and continuity of the integrand imply , with and ; thus solves the displayed characteristic system. The bound gives a finite first moment for every finite . For bounded continuous , the integrand is pointwise continuous in and bounded by , so [F3] gives narrow continuity of .
The force is continuous in : for , its integrand converges pointwise and is bounded by , so [F3] applies on . Along each characteristic, the chain rule gives On any bounded time interval the right side is bounded by , which is integrable by the assumed first moment. Difference quotients have the same common bound; [F3] therefore permits differentiation under the integral and gives exactly the weak identity in the Statement.
The fixed-point estimate and force bounds do not depend on the starting time or probability. Repeating the construction on successive intervals of length therefore gives a unique characteristic solution on every bounded positive interval. For negative times let and solve the same positive-time problem from . If its characteristics are , define, for , and . Then , , , and : the transformed law has the same position marginal as , and the force depends only on position. Thus these are characteristics from for negative times. Uniqueness on overlapping intervals follows from step 2.1 and continuation, so the positive and negative solutions form one global family.
Suppose has the smooth density and all moments in the Statement. Its characteristic field is . Every state derivative of is bounded on a finite time slab because it is an integral of a bounded derivative of . Step 4.1 makes continuous in time; [F2] gives a smooth state flow and its smooth backward inverse. Its state derivative solves , , by [F2]. The divergence of is zero: and is independent of . Since the inverse flow makes invertible, multilinear differentiation of its determinant gives ; with this yields . Define relative to . It is smooth in state, and the chain rule gives the classical transport equation.
Orient by its standard translation-chart volume form . By [F9] and [F10], its associated volume measure is the product specified in the statement. Since , preserves this orientation. For the top form has compact support, so [F4] and step 5.1 give Take the cutoffs of [F5] for positive integers . The identity with gives , since and . The indicators of the balls increase to , so [F6] implies . Now is integrable and pointwise. Apply [F3] to both sides of the cutoff identity, with majorants and , to obtain . Thus is a probability. The identity also says and the characteristic law agree on all smooth compactly supported tests. Apply [F7] to conclude , so is the density of .
For every time-derivative order , differentiating gives finite sums of bounded derivatives of times products of characteristic time derivatives. The base bounds and , followed by induction in the differentiated characteristic equation, bound each order- integrand by on . Every such envelope is integrable by the all-moment assumption. Dominated convergence [F3] therefore justifies each time differentiation under the integral, so is jointly smooth in . The joint-smooth-time clause of [F2] then makes and jointly smooth, proving the classical branch.
Depends on
Smooth periodic finite-N and scaled mean-field phase data
Smooth state flow for continuous-time smooth-state force fields
Dominated convergence
Change of variables on oriented manifolds
Explicit compactly supported smooth cutoffs
Monotone convergence for the integral
Wasserstein-1 coupling cost on dimensionless phase space
The one-dimensional torus and its normalized Haar integral
The product measure of two sigma-finite measure spaces
For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
Smooth compact tests determine phase-space probabilities