Shannon entropic temperature and its lower and upper bounds for non-Markovian stochastic dynamics

被引:6
作者
Ray, Somrita [1 ]
Bag, Bidhan Chandra [1 ]
机构
[1] Visva Bharati, Dept Chem, Santini Ketan 731235, W Bengal, India
关键词
PHOTOCHEMICAL ISOMERIZATION; HEAT-CONDUCTIVITY; MAXIMAL ENTROPY; INFORMATION; TIME; NOISE; THERMODYNAMICS; FRICTION; EQUATION; SYSTEMS;
D O I
10.1103/PhysRevE.90.032103
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
In this article we have studied Shannon entropic nonequilibrium temperature (NET) extensively for a system which is coupled to a thermal bath that may be Markovian or non-Markovian in nature. Using the phase-space distribution function, i.e., the solution of the generalized Fokker Planck equation, we have calculated the entropy production, NET, and their bounds. Other thermodynamic properties like internal energy of the system, heat, and work, etc. are also measured to study their relations with NET. The present study reveals that the heat flux is proportional to the difference between the temperature of the thermal bath and the nonequilibrium temperature of the system. It also reveals that heat capacity at nonequilibrium state is independent of both NET and time. Furthermore, we have demonstrated the time variations of the above-mentioned and related quantities to differentiate between the equilibration processes for the coupling of the system with the Markovian and the non-Markovian thermal baths, respectively. It implies that in contrast to the Markovian case, a certain time is required to develop maximum interaction between the system and the non-Markovian thermal bath (NMTB). It also implies that longer relaxation time is needed for a NMTB compared to a Markovian one. Quasidynamical behavior of the NMTB introduces an oscillation in the variation of properties with time. Finally, we have demonstrated how the nonequilibrium state is affected by the memory time of the thermal bath.
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页数:13
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共 76 条
[1]   FOKKER-PLANCK EQUATIONS FOR SIMPLE NON-MARKOVIAN SYSTEMS [J].
ADELMAN, SA .
JOURNAL OF CHEMICAL PHYSICS, 1976, 64 (01) :124-130
[2]   Correlated noise in a logistic growth model [J].
Ai, BQ ;
Wang, XJ ;
Liu, GT ;
Liu, LG .
PHYSICAL REVIEW E, 2003, 67 (02) :3
[3]   CONNECTION BETWEEN MAXIMAL ENTROPY AND SCATTERING THEORETIC ANALYSES OF COLLISION PROCESSES [J].
ALHASSID, Y ;
LEVINE, RD .
PHYSICAL REVIEW A, 1978, 18 (01) :89-116
[4]   ENTROPY AND CHEMICAL CHANGE .3. MAXIMAL ENTROPY (SUBJECT TO CONSTRAINTS) PROCEDURE AS A DYNAMICAL THEORY [J].
ALHASSID, Y ;
LEVINE, RD .
JOURNAL OF CHEMICAL PHYSICS, 1977, 67 (10) :4321-4339
[5]   Heat conductivity and dynamical instability [J].
Alonso, D ;
Artuso, R ;
Casati, G ;
Guarneri, I .
PHYSICAL REVIEW LETTERS, 1999, 82 (09) :1859-1862
[6]   Polygonal billiards and transport: Diffusion and heat conduction [J].
Alonso, D ;
Ruiz, A ;
de Vega, I .
PHYSICAL REVIEW E, 2002, 66 (06) :15-066131
[7]  
[Anonymous], 1963, Statistical Physics
[8]  
[Anonymous], 1998, Physics from Fisher Information
[9]   Noise properties of stochastic processes and entropy production [J].
Bag, BC ;
Banik, SK ;
Ray, DS .
PHYSICAL REVIEW E, 2001, 64 (02) :7
[10]   Information entropy production in non-Markovian systems [J].
Bag, BC .
JOURNAL OF CHEMICAL PHYSICS, 2003, 119 (09) :4988-4990