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Global Lipschitz ODE flows and the C1 density formula
Statement
Assume Countable Choice and Dependent Choice. Let , let , and let be jointly continuous on the product Euclidean domain. Suppose that for every compact there are nonnegative Lebesgue-measurable such that for almost every , simultaneously for all and , Here means the functions have finite Lebesgue integral of their absolute values. Then for every and there is a unique continuously differentiable solution of on all of . Its terminal map is a bijection with jointly continuous forward and inverse maps in , and for all and ,
In the separate C clause, suppose additionally that the state derivative exists and is jointly continuous. Then for fixed , is a bijection and both and its inverse are continuously differentiable. For a measurable map and a measure , define its image measure by . The derivative solves with Liouville formula Consequently, if a probability measure on has Lebesgue density , meaning for Borel , the image measure has density The global Lipschitz clause alone gives a bi-Lipschitz flow and does not assert a Jacobian density formula.
Statement references
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 C clause.
Countable Choice and Dependent Choice are available. They are used through the integrable-coefficient Grönwall estimate and the C change-of-variables theorem. The Axiom of Countable Choice (), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain, Grönwall inequality with an integrable coefficient, A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions
The space with the supremum norm is complete on every compact interval . Continuous -valued curves on a nonempty compact interval form a complete supremum-metric space
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
The norm of a vector-valued integral is bounded by the integral of the norm. For and integrable when , ; for , is integrable
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 function is absolutely continuous, Monotonicity and nonnegative homogeneity of the nonnegative integral
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 is integrable on and continuous at , then ; in particular a continuous has as a primitive The Banach-valued version is also available: Fundamental theorem of calculus for Banach-valued continuous curves
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
The difference-quotient proof of 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 on that tube gives the variational equation and continuous dependence of its matrix solution. Here, after fixing , the field domain is , which contains such a tube, and steps 2.1 and 4.1 give common existence and continuous dependence. This is the local use of dependence of solutions on initial data.
The chain rule for total derivatives gives the derivative of a composition of Euclidean maps. The chain rule for total derivatives:
The determinant differential and Jacobi formula give for invertible ; trace is cyclic. The determinant differential is at every matrix, and Jacobi's formula holds on the invertible locus, For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix, The trace as the sum of the diagonal entries, For and ,
A C 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
The scalar chain and product rules, exponential derivative, and mean-value theorem justify the integrating-factor identity and show that a differentiable function with zero derivative on an interval is constant. The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sum, product, quotient, and chain rules from difference quotients, The exponential function is smooth and , Mean value theorem on a closed real interval
consists of measurable functions whose absolute values have finite Lebesgue integral. The class of integrable functions
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
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 ; these bounds need not be Riemann integrable. A continuous function on 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.
Fix a compact parameter set . Let . By [F4] and [F12], is continuous and nondecreasing on , and [F6] makes it uniformly continuous. Choose a finite partition with mesh small enough that on each cell. On a cell , with initial value , consider the closed supremum-norm ball of radius about the constant curve . For in that ball define The integrand is continuous by [F13], so is continuous.
Use [F14] throughout to identify the continuous integrands' Riemann and Lebesgue integrals. Put . The triangle inequality and spatial Lipschitz bound with give almost everywhere. Hence so the ball maps into itself. For two curves, [F3] and the Lipschitz bound give . 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 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 .
For solutions with the same and initial values , subtract their integral equations and use [F3] to obtain The forward clause of the integrable-coefficient Grönwall lemma gives the factor , proving uniqueness and the forward Lipschitz bound. Applying the same existence and uniqueness construction to the reversed drift gives a backward solution from any terminal value; uniqueness shows that its time-zero map is the inverse of and the same estimate gives the inverse Lipschitz bound.
From the integral equation and [F3], . The integrable Grönwall estimate therefore gives , uniformly in and for 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, , and by [F6]. Choose a compact containing a convergent sequence and its limit. For , subtract the integral equations along and ; the result is bounded by , where 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.
In the C clause, fix and an initial state . Steps 2.1 and 4.1 give common existence and continuous dependence for nearby initial states on . Their trajectories and the line segments joining corresponding states lie in a common compact state ball, so times that ball is a compact state tube in the field domain. On this tube is bounded and uniformly continuous. The difference-quotient argument in [F7] therefore applies on : the map is for every , and its derivative is the solution of the variational equation. Apply the same argument to the reversed drift ; its time- map is by uniqueness in step 3.1. The two maps are consequently inverses, so is a diffeomorphism.
Write and . Step 5.1 applied on each restricted interval shows that the time- flow is a diffeomorphism, so is invertible for every (and ). The path is continuous. By [F5], is differentiable on with and has the corresponding one-sided endpoint derivatives. For , the total-derivative chain rule [F8] and the invertible-matrix formula in [F9], applied to the variational equation , give using cyclicity of trace; continuity extends this identity to the endpoints. By the scalar product and chain rules in [F11], has derivative zero on , so the mean-value theorem makes it constant on . Its value at is ; hence , the asserted Liouville formula.
If , then for every Borel , Apply [F10] to the diffeomorphism and the nonnegative measurable integrand . This rewrites the last integral as , which proves the stated density formula. The first part of the Statement used no C assumption; therefore global Lipschitzness alone yields only the bi-Lipschitz flow conclusion.
Depends on
- Grönwall inequality with an integrable coefficient
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- Continuity of a map of topological spaces at a point and globally
- The class $L^1(\mu)$ of integrable functions
- Continuous $\mathbb{R}^n$-valued curves on a nonempty compact interval form a complete supremum-metric space
- A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
- For $a \le b$ and $f : [a,b] \to \mathbb{R}^m$ integrable when $a<b$, $\bigl\lVert\int_a^b f\bigr\rVert_2 \le \int_a^b \lVert f\rVert_2$; for $a<b$, $\lVert f\rVert_2$ is integrable
- Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
- The indefinite integral of an $L^1$ function is absolutely continuous
- Fundamental theorem of calculus for Banach-valued continuous curves
- Monotonicity and nonnegative homogeneity of the nonnegative integral
- $C^1$ dependence of solutions on initial data
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- The determinant differential is $D\det(A)[H]=\operatorname{tr}(\operatorname{adj}(A)H)$ at every matrix, and Jacobi's formula holds on the invertible locus
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- The trace $\operatorname{tr}(A)$ as the sum of the diagonal entries
- For $A\in M_{m\times n}(F)$ and $B\in M_{n\times m}(F)$, $\operatorname{tr}(AB)=\operatorname{tr}(BA)$
- The exponential function is smooth and $(\exp)'=\exp$
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- Sum, product, quotient, and chain rules from difference quotients
- Mean value theorem on a closed real interval
- A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions
- 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
- 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
Used by
- Conditional flow matching for inverse posteriors Algorithm
- Likelihood-free conditional flow matching without an MH correction Example
- Population regression and exact-flow meaning of conditional flow matching Lemma
- Dimension-uniform conditional flow error for function-valued Bayesian posteriors Open problem
- An exact triangular transport disintegrates to the posterior Theorem
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Sources
- Gerald Teschl, Ordinary Differential Equations and Dynamical Systems, §§2.3–2.6 (standard reference, not scraped)
- Carnegie Mellon University, ODE existence and uniqueness notes, 2026 (standard reference, not scraped)
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 2.47 (standard reference, not scraped)