English

Diffusion Processes: entropy, Gibbs states and the continuous time Ruelle operator

Probability 2024-07-17 v2 Statistical Mechanics Mathematical Physics Dynamical Systems math.MP

Abstract

We consider a Riemmaniann compact manifold MM, the associated Laplacian Δ\Delta and the corresponding Brownian motion XtX_t, t0.t\geq 0. Given a Lipschitz function V:MRV:M\to\mathbb R we consider the operator 12Δ+V\frac{1}{2}\Delta+V, which acts on differentiable functions f:MRf: M\to\mathbb R via the operator 12Δf(x)+V(x)f(x),\frac{1}{2} \Delta f(x)+\,V(x)f(x) , for all xMx\in M. Denote by PtVP_t^V, t0,t \geq 0, the semigroup acting on functions f:MRf: M\to\mathbb R given by PtV(f)(x):=Ex[e0tV(Xr)drf(Xt)].P_{t}^V (f)(x)\,:=\, \mathbb E_{x} \big[e^{\int_0^{t} V(X_r)\,dr} f(X_t)\big].\, We will show that this semigroup is a continuous-time version of the discrete-time Ruelle operator. Consider the positive differentiable eigenfunction F:MRF: M \to \mathbb{R} associated to the main eigenvalue λ\lambda for the semigroup PtVP_t^V, t0t \geq 0. From the function FF, in a procedure similar to the one used in the case of discrete-time Thermodynamic Formalism, we can associate via a coboundary procedure a certain stationary Markov semigroup. The probability on the Skhorohod space obtained from this new stationary Markov semigroup can be seen as a stationary Gibbs state associated with the potential VV. We define entropy, pressure, the continuous-time Ruelle operator and we present a variational principle of pressure for such a setting.

Keywords

Cite

@article{arxiv.2208.01993,
  title  = {Diffusion Processes: entropy, Gibbs states and the continuous time Ruelle operator},
  author = {A. O. Lopes and G. Muller and A. Neumann},
  journal= {arXiv preprint arXiv:2208.01993},
  year   = {2024}
}

Comments

In section 3 we present a more precise version of what is necessary to use in the previous part of the text

R2 v1 2026-06-25T01:26:37.937Z