Irreversibility of stochastic state transitions in Langevin systems with odd elasticity.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Kento Yasuda
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引用次数: 0

Abstract

Active microscopic objects, such as an enzyme molecule, are modeled by the Langevin system with the odd elasticity, in which energy injection from the substrate to the enzyme is described by the antisymmetric part of the elastic matrix. By applying the Onsager-Machlup integral and large deviation theory to the Langevin system with odd elasticity, we can calculate the cumulant generating function of the irreversibility of the state transition. For an N-component system, we obtain a formal expression of the cumulant generating function and demonstrate that the oddness λ, which quantifies the antisymmetric part of the elastic matrix, leads to higher-order cumulants that do not appear in a passive elastic system. To demonstrate the effect of the oddness under the concrete parameter, we analyze the simplest two-component system and obtain the optimal transition path and cumulant generating function. The cumulants obtained from expansion of the cumulant generating function increase monotonically with the oddness. This implies that the oddness causes the uncertainty of stochastic state transitions.

具有奇数弹性的朗格文系统中随机状态转换的不可逆性。
酶分子等活性微观物体由具有奇异弹性的朗格文系统建模,其中从底物到酶的能量注入由弹性矩阵的反对称部分描述。通过将昂萨格-马赫卢普积分和大偏差理论应用于奇数弹性的朗格文系统,我们可以计算出状态转换不可逆的累积生成函数。对于一个 N 分量系统,我们得到了累积生成函数的形式表达式,并证明了奇异度 λ(量化了弹性矩阵的反对称部分)会导致被动弹性系统中不会出现的高阶累积。为了证明奇异性在具体参数下的影响,我们分析了最简单的双组分系统,并得到了最佳过渡路径和累积子生成函数。由累积生成函数展开得到的累积量随奇异性单调增加。这意味着奇异性导致了随机状态转换的不确定性。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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