Conditioning problems for invariant sets of expanding piecewise affine mappings: Application to loss of ergodicity in globally coupled maps

TL;DR

This paper introduces a systematic method to construct invariant sets in expanding piecewise affine maps using empirical data, transforming a topological problem into a computational geometry problem, and applies it to analyze ergodicity loss in coupled maps.

Contribution

It presents a novel approach to solve the conditioning problem for invariant polytopes, enabling analysis of ergodicity in globally coupled maps with improved accuracy.

Findings

Sharp existence conditions for invariant sets depending on map parameters

Accurate empirical fits of ergodic components

Unanticipated features in conditioning solutions related to face directions

Abstract

We propose a systematic approach to the construction of invariant union of polytopes (IUP) in expanding piecewise affine mappings whose linear components are isotropic scalings. The approach relies on using empirical information embedded in trajectories in order to infer, and then to solve, a so-called conditioning problem for some generating collection of polytopes. A conditioning problem consists of a series of requirements on the polytopes' localisation and on the dynamical transitions between these elements. The core element of the approach is a reformulation of the problem as a set of piecewise linear inequalities for some matrices which encapsulate geometric constraints. In that way, the original topological puzzle is converted into a standard problem in computational geometry. This transformation involves an optimization procedure that ensures that both problems are equivalent. As a proof of concept, the approach is applied to the study of the loss of ergodicity in basic examples of globally coupled maps. The study explains, completes and substantially extends previous achievements about asymmetric IUP in these systems. Comparison with the numerics reveals sharp existence conditions depending on the map parameters, and accurate fits of the empirical ergodic components. In addition, this application also reveals unanticipated features about conditioning problem solutions, especially as the dependence on the set of admissible face directions is concerned.