Uniformly Expanding Coupled Maps: Self-Consistent Transfer Operators and Propagation of Chaos

TL;DR

This paper analyzes large systems of uniformly expanding coupled maps, introducing self-consistent transfer operators to approximate measure evolution, proving propagation of chaos, and characterizing invariant measures without requiring identical maps or interactions.

Contribution

It introduces a novel framework for studying measure evolution in coupled maps and proves propagation of chaos under less restrictive conditions than previous work.

Findings

Propagation of chaos holds as N approaches infinity.

Self-consistent transfer operators approximate measure evolution with explicit N-dependence.

Invariant measures close to product measures satisfy exponential concentration inequalities.

Abstract

In this paper we study systems of $N$ uniformly expanding coupled maps when $N$ is finite but large. We introduce self-consistent transfer operators that approximate the evolution of measures under the dynamics, and quantify this approximation explicitly with respect to $N$. Using this result, we prove that uniformly expanding coupled maps satisfy propagation of chaos when $N\rightarrow \infty$, and characterize the absolutely continuous invariant measures for the finite dimensional system. The main working assumption is that the expansion is not too small and the strength of the interactions is not too large, although both can be of order one. In contrast with previous approaches, we do not require the coupled maps and the interactions to be identical. The technical advances that allow us to describe the system are: the introduction of a framework to study the evolution of conditional measures along some non-invariant foliations where the dependence of all estimates on the dimension is explicit; and the characterization of an invariant class of measures close to products that satisfy exponential concentration inequalities.