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Global Lipschitz ODE flows and the C1 density formula

Statement

Assume Countable Choice and Dependent Choice. Let T>0, let d,m≥1, and let b:[0,T]×Rd×Rm→Rd be jointly continuous on the product Euclidean domain. Suppose that for every compact K⊆Rm there are nonnegative Lebesgue-measurable aK,LK∈L1([0,T]) such that for almost every t, simultaneously for all y∈K and x,x′∈Rd, ∣b(t,0,y)∣≤aK(t),∣b(t,x,y)−b(t,x′,y)∣≤LK(t)∣x−x′∣. Here L1([0,T]) means the functions have finite Lebesgue integral of their absolute values. Then for every x0∈Rd and y∈Rm there is a unique continuously differentiable solution xy(⋅;x0) of x˙(t)=b(t,x(t),y),x(0)=x0, on all of [0,T]. Its terminal map Ty(x0):=xy(T;x0) is a bijection with jointly continuous forward and inverse maps in (x0,y), and for all x0,x1 and y∈K, ∣Ty(x0)−Ty(x1)∣≤e∫0TLK(t)dt∣x0−x1∣,∣Ty−1(x0)−Ty−1(x1)∣≤e∫0TLK(t)dt∣x0−x1∣.

In the separate C1 clause, suppose additionally that the state derivative Dxb exists and is jointly continuous. Then for fixed y, Ty is a bijection and both Ty and its inverse are continuously differentiable. For a measurable map S and a measure μ, define its image measure by S#μ(E):=μ(S−1(E)). The derivative Ay(t,x0):=Dx0xy(t;x0) solves A˙y(t,x0)=Dxb(t,xy(t;x0),y)Ay(t,x0),Ay(0,x0)=Id, with Liouville formula det⁡Ay(t,x0)=exp⁡ ⁣(∫0ttr⁡Dxb(s,xy(s;x0),y) ds). Consequently, if a probability measure η on Rd has Lebesgue density q, meaning η(E)=∫Eq(x) dx for Borel E, the image measure Ty#η has density z⟼q(Ty−1(z)) ∣det⁡DTy−1(z)∣. The global Lipschitz clause alone gives a bi-Lipschitz flow and does not assert a Jacobian density formula.

Facts & Assumptions

Given: Countable Choice, Dependent Choice, and the jointly continuous drift and integrable uniform-in-space bounds in the Statement; the additional spatial differentiability assumptions only in its C1 clause.

[F1]

The space C(J,Rd) with the supremum norm is complete on every compact interval J. Continuous Rn-valued curves on a nonempty compact interval form a complete supremum-metric space

[F2]

Every contraction of a nonempty complete metric space has a unique fixed point, obtained by iterating from any initial point. A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point

[F4]

The indefinite integral of an integrable scalar function is continuous and absolutely continuous; integrals of nonnegative functions are nonnegative and monotone. The indefinite integral of an L1 function is absolutely continuous, Monotonicity and nonnegative homogeneity of the nonnegative integral

[F5]

The primitive of a continuous Euclidean-valued curve is continuously differentiable, coordinatewise by the scalar fundamental theorem, with one-sided derivatives at the endpoints. The first fundamental theorem: if f is integrable on [a,b] and continuous at c, then F′(c)=f(c); in particular a continuous f has F as a primitive The Banach-valued version is also available: Fundamental theorem of calculus for Banach-valued continuous curves

[F6]

A continuous real function on a compact metric space is uniformly continuous. Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous

[F7]

The difference-quotient proof of C1 dependence applies on a common compact time interval when a compact state tube around the reference trajectory lies in the field domain and solutions through nearby initial states exist there; continuity of Dxb on that tube gives the variational equation and continuous dependence of its matrix solution. Here, after fixing y, the field domain is [0,T]×Rd, which contains such a tube, and steps 2.1 and 4.1 give common existence and continuous dependence. This is the local use of C1 dependence of solutions on initial data.

[F8]

The chain rule for total derivatives gives the derivative of a composition of C1 Euclidean maps. The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a)

[F10]

A C1 diffeomorphism of open Euclidean sets satisfies the change-of-variables formula for every nonnegative Lebesgue-measurable integrand under Countable Choice. A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions

[F12]

L1([0,T]) consists of measurable functions whose absolute values have finite Lebesgue integral. The class L1(μ) of integrable functions

[F13]

Joint continuity is continuity for the product Euclidean topology and is preserved by composition with a continuous curve. Continuity of a map of topological spaces at a point and globally

[F14]

A continuous scalar function on a compact interval is bounded and Riemann integrable; under Countable Choice its Riemann and Lebesgue integrals agree. Apply this to each coordinate and to the norm of every continuous vector integrand below. Thus the componentwise vector integral and the norm integral in [F3] may be compared using Lebesgue almost-everywhere inequalities and the integrable bounds aK,LK; these bounds need not be Riemann integrable. A continuous function on [a,b] is Riemann integrable, by Heine-Cantor and Riemann's criterion, A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral

Proof

Given: The drift, bounds, axioms and notation in the Statement.

1.1F4F5F6F12F13givenconstruct

Fix a compact parameter set K. Let C(t)=∫0tLK(s)ds. By [F4] and [F12], C is continuous and nondecreasing on [0,T], and [F6] makes it uniformly continuous. Choose a finite partition 0=t0<⋯<tN=T with mesh small enough that C(ti+1)−C(ti)=∫titi+1LK(s)ds≤1/2 on each cell. On a cell J=[ti,ti+1], with initial value zi, consider the closed supremum-norm ball of radius R=2(1+∣zi∣+∫JaK) about the constant curve zi. For z in that ball define Tz(t)=zi+∫titb(s,z(s),y) ds. The integrand is continuous by [F13], so Tz is continuous.

2.1A1F1F2F3F5F14step 1.1givenalgebra

Use [F14] throughout to identify the continuous integrands' Riemann and Lebesgue integrals. Put qJ=∫JLK≤1/2. The triangle inequality and spatial Lipschitz bound with x′=0 give ∣b(s,z(s),y)∣≤aK(s)+LK(s)∣z(s)∣ almost everywhere. Hence ∥Tz−zi∥∞≤∫JaK+qJ(∣zi∣+R)≤R, so the ball maps into itself. For two curves, [F3] and the Lipschitz bound give ∥Tz−Tw∥∞≤qJ∥z−w∥∞. The ball is nonempty and complete by [F1], so [F2] gives a unique fixed point, which solves the integral equation and hence the ODE on J by [F5]. Applying this construction successively on the finite partition, with each cell's endpoint as the next initial value, gives a solution on all of [0,T].

3.1A1F3F14step 2.1givenalgebra

For solutions x(t),x′(t) with the same y and initial values x0,x0′, subtract their integral equations and use [F3] to obtain ∣x(t)−x′(t)∣≤∣x0−x0′∣+∫0tLK(s)∣x(s)−x′(s)∣ ds. The forward clause of the integrable-coefficient Grönwall lemma gives the factor exp⁡(∫0tLK), proving uniqueness and the forward Lipschitz bound. Applying the same existence and uniqueness construction to the reversed drift bˉ(s,z,y)=−b(T−s,z,y) gives a backward solution from any terminal value; uniqueness shows that its time-zero map is the inverse of Ty and the same estimate gives the inverse Lipschitz bound.

4.1A1F3F4F6F14step 3.1givenalgebra

From the integral equation and [F3], ∣xy(t;x0)∣≤∣x0∣+∫0TaK+∫0tLK(s)∣xy(s;x0)∣ds. The integrable Grönwall estimate therefore gives ∣xy(t;x0)∣≤(∣x0∣+∫0TaK)exp⁡(∫0TLK), uniformly in t and for x0,y in compact sets. Thus all such trajectories lie in a common compact state ball. The drift is uniformly continuous on the product of this ball, [0,T], and K by [F6]. Choose a compact K containing a convergent sequence yn and its limit. For (xn,yn)→(x,y), subtract the integral equations along xyn(⋅;xn) and xy(⋅;x); the result is bounded by ∣xn−x∣+Tω(∣yn−y∣)+∫0tLK(s)∣xyn(s;xn)−xy(s;x)∣ds, where ω(r)→0 is a modulus from [F6]. Grönwall proves uniform convergence of the paths. Repeating for the reversed drift proves continuity of the inverse map in initial value and parameter.

5.1F7F8step 2.1step 3.1step 4.1given

In the C1 clause, fix y and an initial state x0. Steps 2.1 and 4.1 give common existence and continuous dependence for nearby initial states on [0,T]. Their trajectories and the line segments joining corresponding states lie in a common compact state ball, so [0,T] times that ball is a compact state tube in the field domain. On this tube Dxb is bounded and uniformly continuous. The difference-quotient argument in [F7] therefore applies on [0,T]: the map x0↦xy(t;x0) is C1 for every t, and its derivative is the solution of the variational equation. Apply the same argument to the reversed drift bˉ(s,x,y)=−b(T−s,x,y); its time-T map is Ty−1 by uniqueness in step 3.1. The two maps are consequently C1 inverses, so Ty is a C1 diffeomorphism.

6.1F5F7F8F9F11step 5.1givenalgebra

Write B(t)=Dxb(t,xy(t;x0),y) and A(t)=Ay(t,x0). Step 5.1 applied on each restricted interval [0,t] shows that the time-t flow is a C1 diffeomorphism, so A(t) is invertible for every t (and A(0)=Id). The path B is continuous. By [F5], G(t):=∫0ttr⁡B(s) ds is differentiable on (0,T) with G′(t)=tr⁡B(t) and has the corresponding one-sided endpoint derivatives. For 0<t<T, the total-derivative chain rule [F8] and the invertible-matrix formula in [F9], applied to the variational equation A′=BA, give ddtdet⁡A(t)=Ddet⁡(A(t))[A′(t)]=det⁡A(t)tr⁡(A(t)−1B(t)A(t))=det⁡A(t)tr⁡B(t), using cyclicity of trace; continuity extends this identity to the endpoints. By the scalar product and chain rules in [F11], e−G(t)det⁡A(t) has derivative zero on (0,T), so the mean-value theorem makes it constant on [0,T]. Its value at t=0 is 1; hence det⁡A(t)=exp⁡(G(t)), the asserted Liouville formula.

7.1A1F10step 5.1givenalgebra∎

If η(dx)=q(x)dx, then for every Borel E⊆Rd, Ty#η(E)=∫Ty−1(E)q(x)dx. Apply [F10] to the diffeomorphism Ty−1 and the nonnegative measurable integrand x↦1Ty−1(E)(x)q(x). This rewrites the last integral as ∫Eq(Ty−1(z))∣det⁡DTy−1(z)∣dz, which proves the stated density formula. The first part of the Statement used no C1 assumption; therefore global Lipschitzness alone yields only the bi-Lipschitz flow conclusion.

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