arXiv Analytics

Sign in

arXiv:2205.02082 [math.DS]AbstractReferencesReviewsResources

Persistence in Complex Systems

S. Salcedo-Sanz, D. Casillas-Pérez, J. Del Ser, C. Casanova-Mateo, L. Cuadra, M. Piles, G. Camps-Valls

Published 2022-04-11Version 1

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature review is also carried out. We also present and discuss some relevant results on persistence, and give empirical evidence of performance in different detailed case studies, for both short-term and long-term persistence. A perspective on the future of persistence concludes the work.

Related articles: Most relevant | Search more
arXiv:1408.3916 [math.DS] (Published 2014-08-18)
Invariant Manifolds of Complex Systems
arXiv:1512.08464 [math.DS] (Published 2015-12-28)
A contraction based, singular perturbation approach to near-decomposability in complex systems
arXiv:2208.09104 [math.DS] (Published 2022-08-19)
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization