Fluctuations When Driving Between Nonequilibrium Steady States

Maintained by environmental fluxes, biological systems are thermodynamic processes that operate far from equilibrium without detailed-balanced dynamics. Yet, they often exhibit well defined nonequilibrium steady states (NESSs). More importantly, critical thermodynamic functionality arises directly from transitions among their NESSs, driven by environmental switching. Here, we identify the constraints on excess heat and dissipated work necessary to control a system that is kept far from equilibrium by background, uncontrolled “housekeeping” forces. We do this by extending the Crooks fluctuation theorem to transitions among NESSs, without invoking an unphysical dual dynamics. This and corresponding integral fluctuation theorems determine how much work must be expended when controlling systems maintained far from equilibrium. This generalizes thermodynamic feedback control theory, showing that Maxwellian Demons can leverage mesoscopic-state information to take advantage of the excess energetics in NESS transitions. We also generalize an approach recently used to determine the work dissipated when driving between functionally relevant configurations of an active energy-consuming complex system. Altogether, these results highlight universal thermodynamic laws that apply to the accessible degrees of freedom within the effective dynamic at any emergent level of hierarchical organization. By way of illustration, we analyze a voltage-gated sodium ion channel whose molecular conformational dynamics play a critical functional role in propagating action potentials in mammalian neuronal membranes.

[1]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[2]  F. Takens,et al.  On the nature of turbulence , 1971 .

[3]  P. Anderson More is different. , 1972, Science.

[4]  A G Hawkes,et al.  Relaxation and fluctuations of membrane currents that flow through drug-operated channels , 1977, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  Werner Horsthemke,et al.  Noise-induced transitions , 1984 .

[6]  Young,et al.  Inferring statistical complexity. , 1989, Physical review letters.

[7]  Michael C. Mackey,et al.  Time's Arrow: The Origins of Thermodynamic Behavior , 1991 .

[8]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[9]  J. Patlak Molecular kinetics of voltage-dependent Na+ channels. , 1991, Physiological reviews.

[10]  Evans,et al.  Probability of second law violations in shearing steady states. , 1993, Physical review letters.

[11]  Rolf Landauer,et al.  Statistical physics of machinery: forgotten middle-ground , 1993 .

[12]  J. Crutchfield The calculi of emergence: computation, dynamics and induction , 1994 .

[13]  E. Cohen,et al.  Dynamical ensembles in stationary states , 1995, chao-dyn/9501015.

[14]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

[15]  Bernard Gaveau,et al.  A general framework for non-equilibrium phenomena: the master equation and its formal consequences , 1997 .

[16]  C. Jarzynski Nonequilibrium Equality for Free Energy Differences , 1996, cond-mat/9610209.

[17]  G. Crooks Nonequilibrium Measurements of Free Energy Differences for Microscopically Reversible Markovian Systems , 1998 .

[18]  George Oster,et al.  Energy transduction in the F1 motor of ATP synthase , 1998, Nature.

[19]  G. Crooks Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[20]  G. Crooks Path-ensemble averages in systems driven far from equilibrium , 1999, cond-mat/9908420.

[21]  Peter Dayan,et al.  Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .

[22]  T. Hatano,et al.  Steady-state thermodynamics of Langevin systems. , 2000, Physical review letters.

[23]  S. Laughlin,et al.  An Energy Budget for Signaling in the Grey Matter of the Brain , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[24]  H. Qian Nonequilibrium steady-state circulation and heat dissipation functional. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Bruno A. Olshausen,et al.  Book Review , 2003, Journal of Cognitive Neuroscience.

[26]  Steady State Thermodynamics , 2004, cond-mat/0411052.

[27]  J. García-Ojalvo,et al.  Effects of noise in excitable systems , 2004 .

[28]  S. Nelson,et al.  Homeostatic plasticity in the developing nervous system , 2004, Nature Reviews Neuroscience.

[29]  C Jarzynski,et al.  Experimental test of Hatano and Sasa's nonequilibrium steady-state equality. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Udo Seifert Entropy production along a stochastic trajectory and an integral fluctuation theorem. , 2005, Physical review letters.

[31]  Integral fluctuation theorem for the housekeeping heat , 2005, cond-mat/0507420.

[32]  Application of the Gallavotti-Cohen fluctuation relation to thermostated steady states near equilibrium. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  H. Qian Cycle kinetics, steady state thermodynamics and motors—a paradigm for living matter physics , 2005, Journal of physics. Condensed matter : an Institute of Physics journal.

[34]  C. Jarzynski,et al.  Path-integral analysis of fluctuation theorems for general Langevin processes , 2006, cond-mat/0605471.

[35]  Addressing the Public About Science and Religion , 2006 .

[36]  R. Lipowsky,et al.  Steady-state balance conditions for molecular motor cycles and stochastic nonequilibrium processes , 2007 .

[37]  U. Seifert,et al.  The Jarzynski relation, fluctuation theorems, and stochastic thermodynamics for non-Markovian processes , 2007, 0709.2236.

[38]  Reinhard Lipowsky,et al.  Kinesin's network of chemomechanical motor cycles. , 2007, Physical review letters.

[39]  M. Esposito,et al.  Entropy fluctuation theorems in driven open systems: application to electron counting statistics. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[40]  R. J. Harris,et al.  Fluctuation theorems for stochastic dynamics , 2007, cond-mat/0702553.

[41]  K. Mallick,et al.  Fluctuation theorem and large deviation function for a solvable model of a molecular motor. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[42]  Suriyanarayanan Vaikuntanathan,et al.  Dissipation and lag in irreversible processes , 2009, 0909.3457.

[43]  Massimiliano Esposito,et al.  Three detailed fluctuation theorems. , 2009, Physical review letters.

[44]  Suriyanarayanan Vaikuntanathan,et al.  Nonequilibrium detailed fluctuation theorem for repeated discrete feedback. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[45]  Clare Howarth,et al.  The Energy Use Associated with Neural Computation in the Cerebellum , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[46]  Juan M R Parrondo,et al.  Estimating dissipation from single stationary trajectories. , 2010, Physical review letters.

[47]  On thermodynamic and microscopic reversibility , 2011 .

[48]  Susanne Still,et al.  The thermodynamics of prediction , 2012, Physical review letters.

[49]  R. Spinney,et al.  Fluctuation Relations: A Pedagogical Overview , 2012, 1201.6381.

[50]  The Second Law For the Transitions Between the Non-equilibrium Steady States , 2012, 1205.6119.

[51]  Yuhai Tu,et al.  The energy-speed-accuracy tradeoff in sensory adaptation , 2012, Nature Physics.

[52]  E. Lutz,et al.  Information free energy for nonequilibrium states , 2012, 1201.3888.

[53]  David A. Sivak,et al.  Near-equilibrium measurements of nonequilibrium free energy. , 2009, Physical review letters.

[54]  Masahito Ueda,et al.  Nonequilibrium thermodynamics of feedback control. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[55]  U. Seifert Stochastic thermodynamics, fluctuation theorems and molecular machines , 2012, Reports on progress in physics. Physical Society.

[56]  Jeremy L. England,et al.  Statistical physics of self-replication. , 2012, The Journal of chemical physics.

[57]  Surya Ganguli,et al.  A memory frontier for complex synapses , 2013, NIPS.

[58]  Second law for transitions between nonequilibrium steady states , 2013 .

[59]  James P. Crutchfield,et al.  Exact Complexity: The Spectral Decomposition of Intrinsic Computation , 2013, ArXiv.

[60]  Robert Marsland,et al.  Statistical Physics of Adaptation , 2014, 1412.1875.

[61]  K. Funo,et al.  Nonequilibrium equalities in absolutely irreversible processes. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[62]  M. Esposito,et al.  Irreversible thermodynamics of open chemical networks. I. Emergent cycles and broken conservation laws. , 2014, The Journal of chemical physics.

[63]  Jordan M. Horowitz,et al.  Thermodynamic Costs of Information Processing in Sensory Adaptation , 2014, PLoS Comput. Biol..

[64]  Eve Marder,et al.  Cell types, network homeostasis, and pathological compensation from a biologically plausible ion channel expression model. , 2014, Neuron.

[65]  Martin Stemmler,et al.  Power Consumption During Neuronal Computation , 2014, Proceedings of the IEEE.

[66]  Eve Marder,et al.  Cell Types, Network Homeostasis, and Pathological Compensation from a Biologically Plausible Ion Channel Expression Model , 2014, Neuron.

[67]  A. Jayannavar,et al.  Fluctuation theorems for excess and housekeeping heat for underdamped Langevin systems , 2013, 1311.7205.

[68]  Christopher Jarzynski,et al.  Analysis of slow transitions between nonequilibrium steady states , 2015, 1507.06269.

[69]  Jeremy L. England Dissipative adaptation in driven self-assembly. , 2015, Nature nanotechnology.

[70]  J. Vollmer,et al.  Fluctuating currents in stochastic thermodynamics. II. Energy conversion and nonequilibrium response in kinesin models. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[71]  James P. Crutchfield,et al.  Not All Fluctuations are Created Equal: Spontaneous Variations in Thermodynamic Function , 2016, ArXiv.

[72]  Udo Seifert,et al.  Sensory capacity: An information theoretical measure of the performance of a sensor. , 2015, Physical review. E.

[73]  James P. Crutchfield,et al.  Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety , 2016, ArXiv.

[74]  The Evans-Searles Fluctuation Theorem , 2016 .

[75]  Stephen R. Williams,et al.  Fundamentals of Classical Statistical Thermodynamics: Dissipation, Relaxation, and Fluctuation Theorems , 2016 .

[76]  Paul M. Riechers,et al.  Exact Results Regarding the Physics of Complex Systems via Linear Algebra, Hidden Markov Models, and Information Theory , 2016 .

[77]  James P. Crutchfield,et al.  Correlation-powered Information Engines and the Thermodynamics of Self-Correction , 2016, Physical review. E.