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

Abstract

We consider a Riemmaniann compact manifold MM, the associated Laplacian Ξ”\Delta and the corresponding Brownian motion XtX_t, tβ‰₯0.t\geq 0. Given a Lipschitz function V:Mβ†’RV:M\to\mathbb R we consider the operator 12Ξ”+V\frac{1}{2}\Delta+V, which acts on differentiable functions f:Mβ†’Rf: M\to\mathbb R via the operator 12Ξ”f(x)+ V(x)f(x),\frac{1}{2} \Delta f(x)+\,V(x)f(x) , for all x∈Mx\in M. Denote by PtVP_t^V, tβ‰₯0,t \geq 0, the semigroup acting on functions f:Mβ†’Rf: M\to\mathbb R given by PtV(f)(x) := Ex[e∫0tV(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:Mβ†’RF: M \to \mathbb{R} associated to the main eigenvalue Ξ»\lambda for the semigroup PtVP_t^V, tβ‰₯0t \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

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