Fluctuation-dissipation relation for chaotic non-Hamiltonian systems

TL;DR

This paper extends the fluctuation-dissipation relation to chaotic dissipative systems with many degrees of freedom, showing that projected dynamics can have regular distributions despite the singular invariant measure.

Contribution

It demonstrates that the fluctuation-dissipation relation remains applicable in high-dimensional dissipative systems when considering projected dynamics.

Findings

Projected dynamics have regular probability distributions

Fluctuation-dissipation relation applies to many degrees of freedom

Singular invariant measures do not hinder statistical analysis

Abstract

In dissipative dynamical systems phase space volumes contract, on average. Therefore, the invariant measure on the attractor is singular with respect to the Lebesgue measure. As noted by Ruelle, a generic perturbation pushes the state out of the attractor, hence the statistical features of the perturbation and, in particular, of the relaxation, cannot be understood solely in terms of the unperturbed dynamics on the attractor. This remark seems to seriously limit the applicability of the standard fluctuation dissipation procedure in the statistical mechanics of nonequilibrium (dissipative) systems. In this paper we show that the singular character of the steady state does not constitute a serious limitation in the case of systems with many degrees of freedom. The reason is that one typically deals with projected dynamics, and these are associated with regular probability distributions in the corresponding lower dimensional spaces.