Under what kind of parametric fluctuations is spatiotemporal regularity the most robust?

TL;DR

This study examines how different types of parametric fluctuations affect the robustness of spatiotemporal regularity in coupled chaotic maps, finding that spatially uniform temporal fluctuations most enhance stability.

Contribution

It introduces an analysis of the impact of various parametric noise types on spatiotemporal fixed points in coupled chaotic systems, highlighting the robustness under specific fluctuations.

Findings

Quenched spatial fluctuations are most detrimental to regularity.

Spatiotemporal fluctuations produce effects similar to constant parameters.

Spatially uniform temporal fluctuations enhance robustness of the fixed point.

Abstract

It was observed that the spatiotemporal chaos in lattices of coupled chaotic maps was suppressed to a spatiotemporal fixed point when some fraction of the regular coupling connections were replaced by random links. Here we investigate the effects of different kinds of parametric fluctuations on the robustness of this spatiotemporal fixed point regime. In particular we study the spatiotemporal dynamics of the network with noisy interaction parameters, namely fluctuating fraction of random links and fluctuating coupling strengths. We consider three types of fluctuations: (i) noisy in time, but homogeneous in space; (ii) noisy in space, but fixed in time; (iii) noisy in both space and time. We find that the effect of different kinds of parameteric noise on the dy- namics is quite distinct: quenched spatial fluctuations are the most detrimental to spatiotemporal regularity; spatiotemporal fluctuations yield phenomena similar to that observed when parameters are held constant at the mean-value; and interestingly, spatiotemporal regularity is most robust under spatially uniform temporal fluctuations, which in fact yields a larger fixed point range than that obtained under constant mean-value parameters.