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The canonical Gibbs measure is stationary for underdamped Langevin dynamics
Statement
Assume the data of Underdamped Langevin equation and canonical Gibbs density. Suppose , and are globally bounded, and Also assume , so the initial Gibbs state has a finite second moment as required by the strong-solution interface. Then the underdamped Langevin SDE has a unique global strong solution, and its normalized canonical Gibbs probability is invariant: if is -measurable and independent of , then for every . This stationarity claim does not assert uniqueness of the invariant law, ergodicity, or any BAOAB invariant-bias estimate.
Facts & Assumptions
Given: AC, the model conventions in Underdamped Langevin equation and canonical Gibbs density, the regularity and integrability hypotheses above, and the underdamped Langevin SDE.
Global strong well-posedness for Lipschitz Itô SDEs: globally Lipschitz coefficients with linear growth on a complete usual Brownian filtration give a unique global strong solution with finite second moments on every finite time interval.
Multidimensional Ito formula for Brownian-driven processes: for a test function of a Brownian It^o process, the drift term is the generator and the stochastic term is an It^o integral.
Uniqueness of a law from its characteristic function and Cramer wold device: scalar characteristic functions determine scalar Borel laws, and all one-dimensional projection laws determine a finite-dimensional Borel probability law.
Dominated convergence: pointwise convergence under an integrable majorant permits passage to the limit in the integral.
On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n} and Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: under , the -dimensional Lebesgue integral of a nonnegative Borel function is its product-measure integral and Tonelli factors nonnegative product integrands.
Gaussian integral for a positive-definite quadratic form: for symmetric positive-definite , .
If are differentiable on with integrable, then : integration by parts holds for continuously differentiable functions on each compact coordinate interval; with [F5], it applies coordinatewise to the compactly supported cutoff integrals below.
The Axiom of Choice: AC is inherited through [F1]–[F7]; all local cutoff limits use the fixed radii .
Proof
Given: The assumptions above.
Write and . The bounded Hessian makes globally Lipschitz with linear growth. By [F5], the phase-space Lebesgue measure in the definition of is on Borel sets, and Tonelli applied to the nonnegative Borel Gibbs factor gives Applying [F6] with yields so is finite and positive. To verify the momentum second moment, let be the smallest eigenvalue of . Then . The function is bounded on , so for a finite , The right side has finite integral by [F6] with . Tonelli now gives , while the stated -moment assumption gives . Thus the Gibbs initial state is square-integrable. With the -measurability and future-increment independence in the Statement, [F1] gives a unique global strong solution. Since the coefficients are time-independent, the law of the state after duration depends only on the starting state and elapsed time; write its transition operator as . For or , the solution map is twice differentiable in its initial state: its first derivative solves , , hence ; its second derivative solves the corresponding variation equation with forcing and is bounded on every finite interval because is bounded. Difference quotients in the integral equation and these bounds justify differentiating under expectation, so and its first two spatial derivatives are bounded and continuous.
Uniqueness of the strong solution and independence of future Brownian increments give . Apply [F2] to over a short interval : as , where [A1, F1, F2, F4, given, step 1.1] Continuity of and the finite second-moment bound in [F1] give this limit. Hence ; the right side is integrable against because the derivatives of are bounded, has Gaussian tails, and the stated integrability controls .
For the generator in step 2.1, the Gibbs density has derivatives and . Its formal adjoint is [given, step 2.1, algebra] The -transport term equals and the force part of the -divergence equals , so they cancel. The friction part is . Direct differentiation gives , so diffusion cancels friction and .
Define for and for , then . This smooth function equals one for , zero for , and has bounded first and second derivatives; every right derivative of tends to zero at the origin. The product cutoffs are smooth because each factor is constant near its origin; they equal one when , vanish when either norm is at least , and satisfy , . For , multiply the divergence terms by and integrate by parts coordinatewise using [F7]; product-measure integration is justified by [F5]. The -cutoff boundary term is bounded by times the Gibbs density; the -cutoff terms are bounded by times that density, with second-derivative cutoff terms bounded by . These bounds are integrable by Gaussian tails and the hypotheses on and . Dominated convergence and step 3.1 therefore give . By step 2.1, has derivative zero and is constant.
Apply step 4.1 to and for arbitrary . The resulting scalar characteristic functions of projections of and agree; [F3] and the Cramér–Wold device identify the phase-space laws. Thus for every . AC is inherited through [A1].
Depends on
- Underdamped Langevin equation and canonical Gibbs density
- On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Gaussian integral for a positive-definite quadratic form
- If $u,v$ are differentiable on $[a,b]$ with $u',v'$ integrable, then $\int_a^b u v' = u(b)v(b)-u(a)v(a) - \int_a^b u'v$
- The Axiom of Choice
- Itô SDE data and strong solution
- Global strong well-posedness for Lipschitz Itô SDEs
- Multidimensional Ito formula for Brownian-driven processes
- Cramer wold device
- Uniqueness of a law from its characteristic function
- Dominated convergence
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Sources
- Jean-Noël Roux, Stéphane Rodts, and Gabriel Stoltz, Introduction à la physique statistique et à la physique quantique, §5.2.2, pp. 85–87 (standard reference, not scraped)
- Assyr Abdulle, Gilles Vilmart, and Konstantinos C. Zygalakis, Long time accuracy of Lie-Trotter splitting methods for Langevin dynamics, §§2.2–3.1 (standard reference, not scraped)