Unraveling the hidden complexity of quasideterministic ratchets: Random walks, graphs, and circle maps

Carles Blanch-Mercader, Javier G. Orlandi, and Jaume Casademunt
Phys. Rev. E 101, 012203 – Published 7 January 2020

Abstract

Brownian ratchets are shown to feature a nontrivial vanishing-noise limit where the dynamics is reduced to a stochastic alternation between two deterministic circle maps (quasideterministic ratchets). Motivated by cooperative dynamics of molecular motors, here we solve exactly the problem of two interacting quasideterministic ratchets. We show that the dynamics can be described as a random walk on a graph that is specific to each set of parameters. We compute point by point the exact velocity-force V(f) function as a summation over all paths in the specific graph for each f, revealing a complex structure that features self-similarity and nontrivial continuity properties. From a general perspective, we unveil that the alternation of two simple piecewise linear circle maps unfolds a very rich variety of dynamical complexity, in particular the phenomenon of piecewise chaos, where chaos emerges from the combination of nonchaotic maps. We show convergence of the finite-noise case to our exact solution.

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  • Received 6 September 2018
  • Revised 20 March 2019

DOI:https://doi.org/10.1103/PhysRevE.101.012203

©2020 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Carles Blanch-Mercader1,2,*, Javier G. Orlandi1,3, and Jaume Casademunt1,4,†

  • 1Departamento de Física de la Matèria Condensada, University of Barcelona, 08028 Barcelona, Spain
  • 2Departament of Biochemistry, University of Geneva, 1211 Geneva, Switzerland
  • 3Complexity Science Group, Department of Physics and Astronomy, University of Calgary, Calgary, Canada T2N 1N4
  • 4Universitat de Barcelona Institute of Complex Systems (UBICS), Universitat de Barcelona, Barcelona, Spain

  • *Carles.BlanchMercader@unige.ch
  • jaume.casademunt@ub.edu

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Vol. 101, Iss. 1 — January 2020

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