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Symmetric BAOAB one-step weak expansion
Statement
Assume the underdamped model in Underdamped Langevin equation and canonical Gibbs density, with , of linear growth, and globally bounded for . Let as defined in that item, and let be the one-step BAOAB transition operator and the exact SDE transition operator. For there are such that The exponent may depend on the polynomial-growth bounds for and its derivatives. If , one may take ; the constant is uniform over test families with a common bound on all derivatives of orders zero through six. This is a finite-time local weak estimate; it is not an invariant-measure bias statement.
Facts & Assumptions
Given: AC, the smoothness and growth conditions in the statement, , and the BAOAB and exact SDE transition operators.
Underdamped Langevin equation and canonical Gibbs density and Multidimensional Ito formula for Brownian-driven processes: writing and , the SDE has drift and diffusion matrix . It^o's formula therefore gives its generator Define , , and . The deterministic A and B subflows have these first-order generators by the chain rule; the O subflow has generator O by It^o's formula applied to the OU equation. Thus under the displayed model convention.
BAOAB underdamped Langevin splitting and Exact Ornstein–Uhlenbeck momentum transition and covariance: for and a test function , define the exact subflow transition operators by The A and B formulas are their deterministic subflow maps, and the O formula is the exact OU transition. Also write for the exact SDE transition. Operator products are in state-update order: the leftmost transition is applied first. Hence the BAOAB one-step operator is the palindromic composition .
Multidimensional Ito formula for Brownian-driven processes: It^o's formula holds for spatial test functions of the Brownian It^o process, with localized stochastic integrals; expectation and repeated integral identities require the moment bounds established below.
Global strong well-posedness for Lipschitz Itô SDEs: the globally Lipschitz, linearly growing drift gives a global strong solution with a finite second path moment; higher polynomial moments from deterministic starting states are proved below.
Fatou's lemma: the integral of a nonnegative pointwise limit is at most the limit inferior of the integrals.
The Axiom of Choice: AC is inherited through [F3]–[F5]; no further choice enters the operator expansion.
Proof
Given: The assumptions above.
Choose an integer and such that for , and put . For a bounded family choose and a common . The explicit A and B maps are and , where . They have linear growth and uniformly bounded spatial derivatives of orders one through six for , because is bounded for . The O map is affine with centered Gaussian noise of uniformly bounded moments of every fixed order by [F2]. Differentiating these explicit maps and taking Gaussian expectations therefore shows that each , , preserves bounds through any stated order , uniformly for . Each generator maps such bounds through order to bounds through order with weight : its drift coefficients grow at most linearly, their positive-order derivatives are bounded, and its second-order coefficients are constant. Thus a composition with at most three generator applications, even with subflow semigroups between them, uses at most six test derivatives and is bounded by .
For any , direct differentiation of and the linear-growth drift and constant diffusion give . Itô's formula [F3] stopped on a ball, the integral Gronwall estimate, and Fatou [F5] as the stopping radius increases give for . These are estimates from a fixed deterministic starting point; higher weights can be used to justify the localization limits. In particular, by the same coefficient and derivative count as in step 1.1, and . For the bounded-test branch this is the cubic weight , using the same Lyapunov function with exponent , not a higher initial-moment assumption.
Put , , and . The subflow integral identity follows from the explicit A/B maps and Itô's formula for O. It and the weighted derivative bounds in step 1.1 justify differentiating this five-factor product three times, with right derivatives at zero. Explicitly, its third derivative is the finite ordered sum. [F1, F2, F3, given, step 1.1, algebra] Every summand has total generator length three, so step 1.1 bounds it by ; no term with more than three generators is formed. The first derivative at zero is . Grouping the second derivative at zero gives the pure squares and each ordered mixed pair once, hence . Taylor's formula with its third-derivative integral remainder now gives whose remainder is bounded by . This is a second-order Taylor expansion of the product itself, rather than multiplication of five truncated polynomials with higher differential cross-products.
Applying the localized Itô integral identity successively to , and in which the three test functions have respectively six, four and two continuous spatial derivatives, gives the following identity. [A1, F3, F4, F5, given, step 1.1, step 2.1, algebra] The polynomial bounds from steps 1.1 and 2.1 justify taking expectations and removing the stopping times in these three identities. Step 2.1 bounds the remainder by .
Subtracting steps 2.2 and 3.1 cancels all terms through order two and gives . This proves the original polynomial-growth claim with some finite exponent. When the test family has a common bound, in every preceding estimate, so the same argument proves the uniform cubic-growth bound . Neither conclusion is an invariant-measure statement.
Depends on
- Underdamped Langevin equation and canonical Gibbs density
- BAOAB underdamped Langevin splitting
- Exact Ornstein–Uhlenbeck momentum transition and covariance
- The Axiom of Choice
- Global strong well-posedness for Lipschitz Itô SDEs
- Itô SDE data and strong solution
- Multidimensional Ito formula for Brownian-driven processes
- Fatou's lemma
Used by
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Sources
- Benedict Leimkuhler and Charles Matthews, Rational Construction of Stochastic Numerical Methods for Molecular Sampling, §§2–3 and Appendix (standard reference, not scraped)
- Adam Telatovich and Xiantao Li, Strong Convergence Analysis for Numerical Methods for the Langevin Dynamics Model and Higher-order Operator-splitting Schemes, §3.1 and Appendix §8 (standard reference, not scraped)
- Jean-Noël Roux, Stéphane Rodts, and Gabriel Stoltz, Introduction à la physique statistique et à la physique quantique, §5.2.1 (standard reference, not scraped)