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Probability-flow ODE has the same one-time marginals
Statement
Let , , and let be Borel probability laws on for . Suppose each has a positive finite Lebesgue density with . Let and , where , and put . Assume is symmetric, all displayed derivatives exist continuously, and time derivatives at the endpoints are one-sided. Suppose satisfies the forward Fokker–Planck equation
Define and , and set . Assume has a global flow of diffeomorphisms for , with the identity, , , and , where denotes the Jacobian matrix in the state variable. For with law , let . Then has law for every . Thus the deterministic probability-flow ordinary differential equation (ODE) has the same one-time marginals as the probability-law solution of the displayed forward equation; no equality of path laws is asserted.
Write for continuously differentiable real-valued functions with compact support. Here a time-dependent family of probability laws weakly solves if, for every continuously differentiable with a common compact spatial support,
Statement references
Facts & Assumptions
Given: The positive density family, Fokker–Planck equation, coefficient regularity, global flow, and initial law in the Statement.
All derivatives in the Statement exist continuously, and the flow is global, jointly , and consists of diffeomorphisms satisfying both displayed flow derivative identities.
The marginal score is at every point where is positive, finite, and spatially differentiable. Marginal score function
If are measurable and , then . Monotone convergence for the integral
A class containing a -system that generates the Borel -algebra and is a -system contains that -algebra. Dynkin's pi-lambda theorem
The law of a random element is its probability pushforward; equality of laws means equality on every Borel set. Law or distribution of a random element
Proof
Given: The hypotheses and notation in the Statement.
For symmetric , the product rule gives , since . By [F1], . Substitution into the Fokker–Planck equation therefore yields . For a time-dependent test with common compact spatial support, differentiate , substitute this equation, and integrate by parts; this gives exactly the weak continuity identity stated above.
For and any continuously differentiable time-dependent test with common compact spatial support, the pathwise chain rule gives . The derivative is bounded on the compact support by continuity of and , so it is integrable; taking expectations and integrating in time proves that satisfies the same weak continuity equation and has .
Fix and , and set for . The flow identities in [A1] imply ; the support stays compact because it is the image of under the continuous maps on the compact interval . Applying the weak equation from steps 1.1 and 1.2 gives . Thus and agree on every test.
For a bounded rational open box , let be for , for , and for . Its derivative is on and is at the joins, so is nondecreasing and . Set and . Then , , and pointwise. Step 2.1 and [F2] give . Bounded rational open boxes, together with and , form a -system. They generate the Borel sets because every point of an open set lies in a bounded rational open box contained in that set. The class contains , is closed under complements by equality of the total masses, and is closed under disjoint countable unions by countable additivity; hence it is a -system. By [F3], [F4], and the definition of law, on all Borel sets, proving equality of the one-time marginals.
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Sources
- Yang Song et al., Score-Based Generative Modeling through Stochastic Differential Equations, Section 4.3 and Appendix D.1 (standard reference, not scraped)
- Simo Särkkä and Arno Solin, Applied Stochastic Differential Equations, Section 5.2, Theorem 5.4 and proof (standard reference, not scraped)
- Maxim Raginsky, Stochastic Differential Equations: A Systems-Theoretic Approach, Section 2.3 (standard reference, not scraped)