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作 者:钱紘 QIAN Hong(Department of Applied Mathematics University of Washington Seattle, WA 98195-3925, USA)
机构地区:[1]Department of Applied Mathematics,University of Washington
出 处:《中国科学:生命科学》2017年第3期257-261,共5页Scientia Sinica(Vitae)
摘 要:化学动力学和信息论,作为物理学思维与方法的发展,在描述生物细胞个体的行为、逻辑及功能中有着极其重要的地位.基于最近随机化学动力学与吉布斯化学热力学统一理论的发展,本文尝试着将化学动力学与信息论在同一个随机动力学的框架内讨论,提出了信息为熵力之假设.Chemical reaction kinetics and information theory, as continuous developments of the methodologies and thinkings originating in physics, have played prominent roles in describing the behaviors, logics, and functions of individual biological cells. Based on a recently developed unifying theory of mesoscopic chemical kinetics and Gibbsian macroscopic chemical thermodynamics, this paper attempts to discuss both chemical kinetics and information theory in the single framework of nonlinear, stochastic dynamical systems, and proposes the hypothesis that information is a form of entropy force.
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