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Complete global bounded-Lipschitz mean-field characteristic evolution

Statement

Let Z=Td×Rd be the dimensionless phase space from Smooth periodic finite-N and scaled mean-field phase data, let k be the odd, bounded, smooth, Lipschitz force in that definition, and put B=∥k∥∞ and A=∥Dk∥∞ using its stated operator norm. Let μ0 be any Borel probability on Z with finite first velocity moment ∫Z∣v∣ dμ0(x,v). Then there is a unique global characteristic evolution (Xs,Vs) with

X˙s(z)=Vs(z),V˙s(z)=∫Zk(Xs(z)−Xs(z′)) dμ0(z′),(X0,V0)(x,v)=(x,v),

and μs is the push-forward of μ0 by Ss(z):=(Xs(z),Vs(z)); here the push-forward is defined by μs(A)=μ0(Ss−1(A)) for each Borel set A⊆Z. It is narrowly continuous with finite first velocity moment for every s∈R. It satisfies the weak Vlasov equation: for every time-dependent C1 function φ(s,x,v) that is bounded with bounded first derivatives and periodic in x,

dds∫Zφ(s,z) dμs(z)=∫Z(∂sφ+v⋅∇xφ+Fμs(x)⋅∇vφ)(s,z) dμs(z),Fμs(x):=∫Zk(x−y) dμs(y,w).

For the density clause, use dx=mTd and dv=λd, the normalized torus probability and Euclidean Lebesgue measure defined in The one-dimensional torus and its normalized Haar integral. If μ0 has a smooth probability density ρ0 with respect to dx dv and all velocity moments ∫Z(1+∣v∣r)ρ0(x,v) dx dv are finite for integers r≥1, then Fμs is jointly smooth in (s,x) and the transported density is a classical smooth solution of this Vlasov equation.

Facts & Assumptions

Given: The dimensionless force k and scales in Smooth periodic finite-N and scaled mean-field phase data, a Borel probability μ0 with finite first velocity moment, and the differential and weak formulations in the Statement.

[F1]

Smooth periodic finite-N and scaled mean-field phase data: k=−∇xΦ is smooth, periodic and odd; B=∥k∥∞<∞, A=∥Dk∥∞<∞ in the Euclidean operator norm, and k(0)=0.

[F2]

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.

[F3]

Dominated convergence: on an arbitrary measure space, pointwise almost-everywhere convergence under one common integrable majorant permits passage of limits through the integral.

[F4]

Change of variables on oriented manifolds: an orientation-preserving diffeomorphism preserves integrals of compactly supported smooth top forms on oriented manifolds.

[F5]

Explicit compactly supported smooth cutoffs: for every n≥1 there is χ∈Cc∞(Rn) with 0≤χ≤1, equal to one on the unit ball and zero outside the radius-two ball; χR(v):=χ(v/R) has the corresponding radius-R and radius-2R properties.

[F6]

Monotone convergence for the integral: for nonnegative measurable fn↑f, ∫fn↑∫f on any measure space.

[F7]

Smooth compact tests determine phase-space probabilities: two Borel probabilities on Z that agree on smooth compactly supported tests are equal.

[F8]

Wasserstein-1 coupling cost on dimensionless phase space: Z has the metric dZ((x,v),(y,w))=dTd(x,y)+∣v−w∣, which generates its Borel sigma-algebra.

[F9]

The one-dimensional torus and its normalized Haar integral: dx is the normalized probability induced from Lebesgue measure on the fundamental cube of Td, and dv=λd is Lebesgue measure on Rd.

[F10]

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: dx dv denotes the product measure mTd×λd on the product Borel sigma algebra; the factors are sigma-finite and the product measure has the rectangle formula.

Proof

1.1F1F3construct

Choose h>0 with Ah2<1; when A=0 any finite h is allowed. For a bounded continuous displacement u(s,x,v) in Rd on [0,h]×Z, periodic in x and with u(0,⋅)=0, set (Tu)(s,x,v):=∫0s(s−r)∫Zk(x+rv+u(r,x,v)−y−rw−u(r,y,w)) dμ0(y,w) dr. with torus arguments understood modulo Zd. On the closed set sup⁡∣u∣≤Bh2/2, the map has the same bound because ∣k∣≤B. For every convergent sequence of (s,x,v), the integrand is pointwise continuous in those variables and bounded by B on (Z,B(Z),μ0); [F3] therefore gives joint continuity of Tu. Uniform limits preserve continuity, periodicity and the initial condition, so this closed function space is complete in the supremum norm.

2.1F1step 1.1constructalgebra

For any two displacements u,u~, the force arguments change by at most 2sup⁡∣u−u~∣. The Lipschitz bound A and ∫0s(s−r) dr=s2/2 give sup⁡∣Tu−Tu~∣≤Ah2sup⁡∣u−u~∣. Starting with u0=0 and iterating un+1=Tun, successive differences are bounded by a geometric sequence with ratio Ah2<1; hence (un) is uniformly Cauchy. Its limit u belongs to the closed complete set, and the Lipschitz estimate gives Tu=u. The same estimate makes this fixed point unique.

3.1F1F3step 2.1

Put Xs(x,v)=x+sv+u(s,x,v) modulo the torus and Vs(x,v)=v+∂su(s,x,v). The Volterra formula and continuity of the integrand imply ∂s2Xs=∫Zk(Xs(x,v)−Xs(y,w)) dμ0(y,w), with X0=x and X˙0=v; thus (Xs,Vs) solves the displayed characteristic system. The bound ∣Vs−v∣≤B∣s∣ gives a finite first moment for every finite s. For bounded continuous ψ, the integrand ψ(Xs,Vs) is pointwise continuous in s and bounded by ∥ψ∥∞, so [F3] gives narrow continuity of μs.

4.1F1F3step 3.1algebra

The force Fμs(x) is continuous in (s,x): for (sn,xn)→(s,x), its integrand converges pointwise and is bounded by B, so [F3] applies on (Z,μ0). Along each characteristic, the chain rule gives ddsφ(s,Xs,Vs)=(∂sφ+Vs⋅∇xφ+Fμs(Xs)⋅∇vφ)(s,Xs,Vs). On any bounded time interval the right side is bounded by C(1+∣v∣), which is integrable by the assumed first moment. Difference quotients have the same common bound; [F3] therefore permits differentiation under the μ0 integral and gives exactly the weak identity in the Statement.

4.2F1step 2.1step 3.1

The fixed-point estimate and force bounds do not depend on the starting time or probability. Repeating the construction on successive intervals of length h therefore gives a unique characteristic solution on every bounded positive interval. For negative times let R(x,v)=(x,−v) and solve the same positive-time problem from R#μ0. If its characteristics are (X~r,V~r), define, for s≤0, Xs(x,v)=X~−s(x,−v) and Vs(x,v)=−V~−s(x,−v). Then X0=x, V0=v, X˙s=Vs, and V˙s=Fμs(Xs): the transformed law has the same position marginal as μs, and the force depends only on position. Thus these are characteristics from μ0 for negative times. Uniqueness on overlapping intervals follows from step 2.1 and continuation, so the positive and negative solutions form one global family.

5.1F1F2givenstep 4.1algebra

Suppose μ0 has the smooth density and all moments in the Statement. Its characteristic field is b(s,x,v)=(v,Fμs(x)). Every state derivative of Fμs is bounded on a finite time slab because it is an integral of a bounded derivative of k. Step 4.1 makes b continuous in time; [F2] gives a smooth state flow Ss,0 and its smooth backward inverse. Its state derivative Js=DSs,0 solves J˙s=Db(s,Ss,0)Js, J0=I, by [F2]. The divergence of b is zero: ∇x⋅v=0 and Fμs is independent of v. Since the inverse flow makes Js invertible, multilinear differentiation of its determinant gives ddsdet⁡Js=det⁡Js tr⁡(Js−1Db Js)=det⁡Js tr⁡(Db)=0; with det⁡J0=1 this yields det⁡Js=1. Define ρs=ρ0∘S0,s relative to dx dv. It is smooth in state, and the chain rule gives the classical transport equation.

6.1F3F4F5F6F7F8F9F10step 5.1constructalgebra

Orient Z by its standard translation-chart volume form vol=dx1∧⋯∧dxd∧dv1∧⋯∧dvd. By [F9] and [F10], its associated volume measure is the product dx dv specified in the statement. Since det⁡Js=1, Ss,0 preserves this orientation. For g∈Cc∞(Z) the top form gρs vol has compact support, so [F4] and step 5.1 give ∫Zg(z)ρs(z) dx dv=∫Zg(Ss,0z)ρs(Ss,0z) dx dv=∫Zg(Ss,0z)ρ0(z) dx dv. Take the cutoffs χR(v) of [F5] for positive integers R. The identity with g=χR gives ∫∣v∣≤Rρs dx dv≤∫ZχRρs dx dv=∫ZχR(Vs(z))ρ0(z) dx dv≤1, since ρs≥0 and 0≤χR≤1. The indicators of the balls {∣v∣≤R} increase to 1, so [F6] implies ∫Zρs dx dv≤1. Now ρs is integrable and χR(v)→1 pointwise. Apply [F3] to both sides of the cutoff identity, with majorants ρs and ρ0, to obtain ∫Zρs dx dv=∫Zρ0 dx dv=1. Thus ρs dx dv is a probability. The identity also says ρs dx dv and the characteristic law μs agree on all smooth compactly supported tests. Apply [F7] to conclude ρs dx dv=μs, so ρs is the density of μs.

7.1F2F3step 3.1step 4.1step 5.1algebrainduction∎

For every time-derivative order r, differentiating Fμs(x)=∫k(x−Xs(z))ρ0(z) dz gives finite sums of bounded derivatives of k times products of characteristic time derivatives. The base bounds ∣Vs−v∣≤B∣s∣ and ∣V˙s∣≤B, followed by induction in the differentiated characteristic equation, bound each order-r integrand by C(r,T)(1+∣v∣r) on ∣s∣≤T. Every such envelope is integrable by the all-moment assumption. Dominated convergence [F3] therefore justifies each time differentiation under the integral, so Fμs is jointly smooth in (s,x). The joint-smooth-time clause of [F2] then makes Ss,0 and ρs jointly smooth, proving the classical branch.

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