2014/04/30 by Greg Byrne, Christopher D. Marcotte, Roman O. Grigoriev
Computer Science · Mathematics · Physics and Astronomy · #Artificial intelligence #Attractor #Chaos control and synchronization #Chaotic #Classical mechanics #Computer science #Control theory (sociology) #Coupled map lattice #Dynamics (music) #Euclidean geometry #Geometry #Homogeneous space #Lagrangian coherent structures #Mathematical analysis #Mathematics #Mechanics #Nonlinear Dynamics and Pattern Formation #Physics #Quantum chaos and dynamical systems #Statistical physics #Synchronization of chaos #Turbulence #nlin.CD
paper · pdf · doi:10.1063/1.4915143
arxiv created 2015/01/20 · openalex publication_date 2015/03/01 · arxiv updated 2015/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Unstable nonchaotic solutions embedded in the chaotic attractor can provide significant new insight into chaotic dynamics of both low- and high-dimensional systems. In particular, in turbulent fluid flows, such unstable solutions are referred to as exact coherent structures (ECS) and play an important role in both initiating and sustaining turbulence. The nature of ECS and their role in organizing spatiotemporally chaotic dynamics, however, is reasonably well understood only for systems on relatively small spatial domains lacking continuous Euclidean symmetries. Construction of ECS on large domains and in the presence of continuous translational and/or rotational symmetries remains a challenge. This is especially true for models of excitable media which display spiral turbulence and for which the standard approach to computing ECS completely breaks down. This paper uses the Karma model of cardiac tissue to illustrate a potential approach that could allow computing a new class of ECS on large domains of arbitrary shape by decomposing them into a patchwork of solutions on smaller domains, or tiles, which retain Euclidean symmetries locally.