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Topological localization in out-of-equilibrium dissipative systems.


ABSTRACT: In this paper, we report that notions of topological protection can be applied to stationary configurations that are driven far from equilibrium by active, dissipative processes. We consider two physically disparate systems: stochastic networks governed by microscopic single-particle dynamics, and collections of driven interacting particles described by coarse-grained hydrodynamic theory. We derive our results by mapping to well-known electronic models and exploiting the resulting correspondence between a bulk topological number and the spectrum of dissipative modes localized at the boundary. For the Markov networks, we report a general procedure to uncover the topological properties in terms of the transition rates. For the active fluid on a substrate, we introduce a topological interpretation of fluid dissipative modes at the edge. In both cases, the presence of dissipative couplings to the environment that break time-reversal symmetry are crucial to ensuring topological protection. These examples constitute proof of principle that notions of topological protection do indeed extend to dissipative processes operating out of equilibrium. Such topologically robust boundary modes have implications for both biological and synthetic systems.

SUBMITTER: Dasbiswas K 

PROVIDER: S-EPMC6166820 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Topological localization in out-of-equilibrium dissipative systems.

Dasbiswas Kinjal K   Mandadapu Kranthi K KK   Vaikuntanathan Suriyanarayanan S  

Proceedings of the National Academy of Sciences of the United States of America 20180911 39


In this paper, we report that notions of topological protection can be applied to stationary configurations that are driven far from equilibrium by active, dissipative processes. We consider two physically disparate systems: stochastic networks governed by microscopic single-particle dynamics, and collections of driven interacting particles described by coarse-grained hydrodynamic theory. We derive our results by mapping to well-known electronic models and exploiting the resulting correspondence  ...[more]

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