Jaynes' MaxEnt, Steady State Flow Systems and the Maximum Entropy Production Principle

被引:4
作者
Niven, Robert K. [1 ]
机构
[1] Univ New S Wales, ADFA, Sch Informat Technol & Engn, Canberra, ACT 2600, Australia
来源
BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING | 2009年 / 1193卷
关键词
MaxEnt; maximum entropy production; thermodynamics; steady state; dissipative; complex system; INFORMATION-THEORY;
D O I
10.1063/1.3275639
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Jaynes' maximum entropy (MaxEnt) principle was recently used to give a conditional, local derivation of the "maximum entropy production" (MEP) principle, which states that a flow system with fixed flow(s) or gradient(s) will converge to a steady state of maximum production of thermodynamic entropy (R.K. Niven, Phys. Rev. E, 80(2) (2009) 021113). The analysis provides a steady state analog of the MaxEnt formulation of equilibrium thermodynamics, applicable to many complex flow systems at steady state. The present study examines the classification of physical systems, with emphasis on the choice of constraints in MaxEnt. The discussion clarifies the distinction between equilibrium, fluid flow, source/sink, flow/reactive and other systems, leading into an appraisal of the application of MaxEnt to steady state flow and reactive systems.
引用
收藏
页码:397 / 404
页数:8
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