Averaging of Hamiltonian flows with an ergodic component. (English) Zbl 1156.60038

Summary: We consider a process on \(\mathbb T^2\), which consists of fast motion along the stream lines of an incompressible periodic vector field perturbed by white noise. It gives rise to a process on the graph naturally associated to the structure of the stream lines of the unperturbed flow. It has been shown by M. I. Freidlin and A. D. Wentzell [Random Perturbations of Dynamical Systems, 2nd ed. Springer, New York (1998; Zbl 0922.60006)] and [Mem. Amer. Math. Soc. 109 (1994)] that if the stream function of the flow is periodic, then the corresponding process on the graph weakly converges to a Markov process. We consider the situation where the stream function is not periodic, and the flow (when considered on the torus) has an ergodic component of positive measure. We show that if the rotation number is Diophantine, then the process on the graph still converges to a Markov process, which spends a positive proportion of time in the vertex corresponding to the ergodic component of the flow.


60H10 Stochastic ordinary differential equations (aspects of stochastic analysis)
60J60 Diffusion processes
34E10 Perturbations, asymptotics of solutions to ordinary differential equations


Zbl 0922.60006
Full Text: DOI arXiv


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