Causality stability and synchronization

Kathpalia, Aditi and Nagaraj, Nithin (2019) Causality stability and synchronization. Chaos, 29. 091103-1.

[img] Text
Restricted to Registered users only

Download (597kB) | Request a copy
Abstract: Synchronization of chaos arises between coupled dynamical systems and is very well understood as a temporal phenomenon, which leads the coupled systems to converge or develop a dependence with time. In this work, we provide a complementary spatial perspective to this phenomenon by introducing the novel idea of causal stability. We then propose and prove a causal stability synchronization theorem as a necessary and sufficient condition for complete synchronization. We also provide an empirical criterion to identify synchronizing variables in coupled identical chaotic dynamical systems based on intrasystem causal influences estimated using time series data of the driving system alone. For this, a recently proposed measure, Compression-Complexity Causality (CCC), is used. The sign and magnitude of the estimated CCC value capture the nature of dynamical influences from each variable to rest of the subsystem and are thus able to determine whether or not the variable, when used to couple another system, will drive that system to synchronization.
Item Type: Journal Paper
Additional Information: Published under license by AIP Publishing.Copyright belongs the authors
Subjects: School of Humanities > Consciousness Studies
Programmes > Consciousness Studies Programme > Measures of Causality
Divisions: Schools > Humanities
Date Deposited: 25 Sep 2019 07:20
Last Modified: 17 May 2021 19:07
Official URL:
Related URLs:
    Funders: Cognitive Science Research Initiative (CSRIDST) [Grant No. DST/CSRI/2017/54(G)] and Tata Trusts
    Projects: UNSPECIFIED

    Actions (login required)

    View Item View Item