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Least-rattling feedback from strong time-scale separation
Phys. Rev. E 97, 032115 – Published 15 March, 2018
DOI: https://doi.org/10.1103/PhysRevE.97.032115
Abstract
In most interacting many-body systems associated with some “emergent phenomena,” we can identify subgroups of degrees of freedom that relax on dramatically different time scales. Time-scale separation of this kind is particularly helpful in nonequilibrium systems where only the fast variables are subjected to external driving; in such a case, it may be shown through elimination of fast variables that the slow coordinates effectively experience a thermal bath of spatially varying temperature. In this paper, we investigate how such a temperature landscape arises according to how the slow variables affect the character of the driven quasisteady state reached by the fast variables. Brownian motion in the presence of spatial temperature gradients is known to lead to the accumulation of probability density in low-temperature regions. Here, we focus on the implications of attraction to low effective temperature for the long-term evolution of slow variables. After quantitatively deriving the temperature landscape for a general class of overdamped systems using a path-integral technique, we then illustrate in a simple dynamical system how the attraction to low effective temperature has a fine-tuning effect on the slow variable, selecting configurations that bring about exceptionally low force fluctuation in the fast-variable steady state. We furthermore demonstrate that a particularly strong effect of this kind can take place when the slow variable is tuned to bring about orderly, integrable motion in the fast dynamics that avoids thermalizing energy absorbed from the drive. We thus point to a potentially general feedback mechanism in multi-time-scale active systems, that leads to the exploration of slow variable space, as if in search of fine tuning for a “least-rattling” response in the fast coordinates.
Physics Subject Headings (PhySH)
- Anomalous diffusion
- Classical statistical mechanics
- Classical transport
- Control & applications of chaos
- Diffusion
- Fluctuations & noise
- Nonequilibrium & irreversible thermodynamics
- Self-organized systems
- Stochastic processes
- Chaotic systems
- Living matter & active matter
- Multiple time scale dynamics
- Stochastic dynamical systems
- Chaos & nonlinear dynamics
- Langevin equation
- Path-integral methods
- Series expansions & exact enumeration
- Stochastic differential equations
Article Text
References (29)
- N. Nikola, A. P. Solon, Y. Kafri, M. Kardar, J. Tailleur, and R. Voituriez, Active Particles with Soft and Curved Walls: Equation of State, Ratchets, and Instabilities, Phys. Rev. Lett. 117, 098001 (2016).
- S.-i. Sasa, Collective dynamics from stochastic thermodynamics, New J. Phys. 17, 045024 (2015).
- M. V. Berry and J. M. Robbins, Chaotic classical and half-classical adiabatic reactions: Geometric magnetism and deterministic friction, Proc. R. Soc. A 442, 659 (1993).
- C. Jarzynski, Thermalization of a Brownian Particle via Coupling to Low-Dimensional Chaos, Phys. Rev. Lett. 74, 2937 (1995).
- E. Lutz, Fractional Langevin equation, Phys. Rev. E 64, 051106 (2001).
- P. R. Zulkowski, D. A. Sivak, G. E. Crooks, and M. R. DeWeese, Geometry of thermodynamic control, Phys. Rev. E 86, 041148 (2012).
- P. R. Zulkowski, D. A. Sivak, and M. R. DeWeese, Optimal control of transitions between nonequilibrium steady states, PLoS ONE 8, e82754 (2013).
- B. B. Machta, Dissipation Bound for Thermodynamic Control, Phys. Rev. Lett. 115, 260603 (2015).
- L. D'Alessio, Y. Kafri, and A. Polkovnikov, Negative mass corrections in a dissipative stochastic environment, J. Stat. Mech.: Theory Exp. (2016) 023105.
- C. Maes and S. Steffenoni, Friction and noise for a probe in a nonequilibrium fluid, Phys. Rev. E 91, 022128 (2015).
- U. Basu, C. Maes, and K. Netočný, Statistical forces from close-to-equilibrium media, New J. Phys. 17, 115006 (2015).
- C. W. Gardiner, Handbook of Stochastic Methods for Physics, Chemistry, and the Natural Sciences, Springer Complexity (Springer, 2004).
- S. Bo and A. Celani, Multiple-scale stochastic processes: Decimation, averaging and beyond, Phys. Rep. 670, 1 (2017).
- R. P. Feynman and F. L. Vernon, The theory of a general quantum system interacting with a linear dissipative system, Ann. Phys. 24, 118 (1963).
- B. Bravi and P. Sollich, Statistical physics approaches to subnetwork dynamics in biochemical systems, Physical Biology 14, 045010 (2017).
- M. P. Magiera and L. Brendel, Trapping of interacting propelled colloidal particles in inhomogeneous media, Phys. Rev. E 92, 012304 (2015).
- L. Corte, P. M. Chaikin, J. P. Gollub, and D. J. Pine, Random organization in periodically driven systems, Nat. Phys. 4, 420 (2008).
- J. Cardy, G. Falkovich, and K. Gawȩdzki, Non-Equilibrium Statistical Mechanics and Turbulence (Cambridge University Press, 2008), Vol. 355.
- G. S. Redner, M. F. Hagan, and A. Baskaran, Structure and Dynamics of a Phase-Separating Active Colloidal Fluid, Phys. Rev. Lett. 110, 055701 (2013).
- V. Schaller, C. Weber, C. Semmrich, E. Frey, and A. R. Bausch, Polar patterns of driven filaments, Nature (London) 467, 73 (2010).
- M. Kardar, Statistical Physics of Fields (Cambridge University Press, 2007).
- O. Peters and W. Klein, Ergodicity Breaking in Geometric Brownian Motion, Phys. Rev. Lett. 110, 100603 (2013).
- M. J. Schnitzer, Theory of continuum random walks and application to chemotaxis, Phys. Rev. E 48, 2553 (1993).
- U. Feudel, C. Grebogi, B. R. Hunt, and J. A. Yorke, Map with more than 100 coexisting low-period periodic attractors, Phys. Rev. E 54, 71 (1996).
- S. Kraut, U. Feudel, and C. Grebogi, Preference of attractors in noisy multistable systems, Phys. Rev. E 59, 5253 (1999).
- I. Tikhonenkov, A. Vardi, J. R. Anglin, and D. Cohen, Minimal Fokker-Planck Theory for the Thermalization of Mesoscopic Subsystems, Phys. Rev. Lett. 110, 050401 (2013).
- J. M. Horowitz, K. Zhou, and J. L. England, Minimum energetic cost to maintain a target nonequilibrium state, Phys. Rev. E 95, 042102 (2017).
- M. J. Todd, G. H. Lorimer, and D. Thirumalai, Chaperonin-facilitated protein folding: Optimization of rate and yield by an iterative annealing mechanism, Proc. Natl. Acad. Sci. USA 93, 4030 (1996).
- J. Spiechowicz, M. Kostur, and J. Łuczka, Brownian ratchets: How stronger thermal noise can reduce diffusion, Chaos 27, 023111 (2017).