Literature DB >> 20866211

Physical origins of entropy production, free energy dissipation, and their mathematical representations.

Hao Ge1, Hong Qian.   

Abstract

A unifying mathematical theory of nonequilibrium thermodynamics of stochastic systems in terms of master equations is presented. As generalizations of isothermal entropy and free energy, two functions of state play central roles: the Gibbs entropy S and the relative entropy F , which are related via the stationary distribution of the stochastic dynamics. S satisfies the fundamental entropy balance equation dS/dt = e p - h d/T with entropy production rate e p ≥ 0 and heat dissipation rate h d, while dF/dt = -f d ≤ 0. For closed systems that satisfy detailed balance: Te p(t)=f d(t). For open systems, one has Te p(t) = f d(t)+Q hk(t), where the housekeeping heat, Q hk ≥ 0, was first introduced in the phenomenological nonequilibrium steady-state thermodynamics put forward by Oono and Paniconi. Q hk represents the irreversible work done by the surrounding to the system that is kept away from reaching equilibrium. Hence, entropy production e p consists of free energy dissipation associated with spontaneous relaxation (i.e., self-organization), f d, and active energy pumping that sustains the open system Q hk. The amount of excess heat involved in the relaxation Q ex = h d - Q hk = f d -T(dS/dt). Two kinds of irreversibility, and the meaning of the arrow of time, emerge. Quasistationary processes, adiabaticity, and maximum principle for entropy are also generalized to nonequilibrium settings.

Entities:  

Year:  2010        PMID: 20866211     DOI: 10.1103/PhysRevE.81.051133

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  32 in total

1.  Probing kinetic drug binding mechanism in voltage-gated sodium ion channel: open state versus inactive state blockers.

Authors:  Krishnendu Pal; Gautam Gangopadhyay
Journal:  Channels (Austin)       Date:  2015       Impact factor: 2.581

2.  Nonequilibrium landscape theory of neural networks.

Authors:  Han Yan; Lei Zhao; Liang Hu; Xidi Wang; Erkang Wang; Jin Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-21       Impact factor: 11.205

3.  Stochastic thermodynamics of single enzymes and molecular motors.

Authors:  U Seifert
Journal:  Eur Phys J E Soft Matter       Date:  2011-03-15       Impact factor: 1.890

4.  Continuum mechanics beyond the second law of thermodynamics.

Authors:  M Ostoja-Starzewski; A Malyarenko
Journal:  Proc Math Phys Eng Sci       Date:  2014-11-08       Impact factor: 2.704

Review 5.  Processes on the emergent landscapes of biochemical reaction networks and heterogeneous cell population dynamics: differentiation in living matters.

Authors:  Sui Huang; Fangting Li; Joseph X Zhou; Hong Qian
Journal:  J R Soc Interface       Date:  2017-05       Impact factor: 4.118

6.  Hill's small systems nanothermodynamics: a simple macromolecular partition problem with a statistical perspective.

Authors:  Hong Qian
Journal:  J Biol Phys       Date:  2012-01-06       Impact factor: 1.365

7.  Dynamical characterization of inactivation path in voltage-gated Na(+) ion channel by non-equilibrium response spectroscopy.

Authors:  Krishnendu Pal; Gautam Gangopadhyay
Journal:  Channels (Austin)       Date:  2016-07-01       Impact factor: 2.581

8.  Intrinsic and Extrinsic Thermodynamics for Stochastic Population Processes with Multi-Level Large-Deviation Structure.

Authors:  Eric Smith
Journal:  Entropy (Basel)       Date:  2020-10-07       Impact factor: 2.524

9.  Statistics and Related Topics in Single-Molecule Biophysics.

Authors:  Hong Qian; S C Kou
Journal:  Annu Rev Stat Appl       Date:  2014-01-01       Impact factor: 5.810

10.  Unifying deterministic and stochastic ecological dynamics via a landscape-flux approach.

Authors:  Li Xu; Denis Patterson; Ann Carla Staver; Simon Asher Levin; Jin Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.