Synchronization in a network of delay coupled maps with stochastically switching topologies

TL;DR

This paper investigates how stochastic switching of links in a delay-coupled network of chaotic maps can induce synchronization to various states, with analytical stability analysis and numerical validation demonstrating the conditions for synchronization and synchronized chaos.

Contribution

It introduces the effect of stochastic link switching on synchronization in delay-coupled chaotic maps and provides analytical criteria for stability and synchronization states.

Findings

Stochastic switching enables synchronization where static networks do not.

Delay parameter influences the type of synchronized state achieved.

Synchronized chaos can occur for delays greater than two.

Abstract

The synchronization behavior of delay coupled chaotic smooth unimodal maps over a ring network with stochastic switching of links at every time step is reported in this paper. It is observed that spatiotemporal synchronization never appears for nearest neighbor connections; however, stochastic switching of connections with homogeneous delay $(\tau)$ is capable of synchronizing the network to homogeneous steady state or periodic orbit or synchronized chaotically oscillating state depending on the delay parameter, stochasticity parameter and map parameters. Linear stability analysis of the synchronized state is done analytically for unit delay and the value of the critical coupling strength, at which the onset of synchronization occurs is determined analytically. The logistic map $rx(1-x)$ (a smooth unimodal map) is chosen for numerical simulation purpose. Synchronized steady state or synchronized period-2 orbit is stabilized for delay $\tau=1$. On the other hand for delay $\tau=2$ the network is stabilized to the fixed point of the local map. Numerical simulation results are in good agreement with the analytically obtained linear stability analysis results. Another interesting observation is the existence of synchronized chaos in the network for delay $\tau>2$. Calculating synchronization error and plotting time series data and Poincare first return map the existence of synchronized chaos is confirmed. The results hold good for other smooth unimodal maps also.