非平衡动力系统的景观与通量理论及其在生物学上的应用

IF 35 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER
Jin Wang
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引用次数: 168

摘要

本文综述了近年来发展起来的非平衡动力系统景观和通量理论。我们指出,非平衡系统的相关动力学的全局性质是由两个关键因素决定的:底层景观,重要的是,旋度概率通量。景观(U)反映了状态(P)()的概率,并提供了系统的全局特征和稳定性度量。旋度通量项测量了多少细节平衡被打破,是除景观梯度外的非平衡动力学的两个主要驱动力之一。平衡动力学类似于电场中的电子运动,而非平衡动力学类似于电场和磁场中的电子运动。景观和通量理论有许多有趣的结果,包括(1)不可逆的运动路径不一定穿过景观鞍;(2)小而有限波动最优路径上的新鞍点非平衡过渡态理论;(3)非平衡动力系统的广义涨落-耗散关系,其中响应函数不仅与平衡情况下的稳态涨落相等,而且旋度通量对维持稳态有额外的贡献;(4)非平衡态热力学,其中自由能的变化不仅等于熵的产生,就像在平衡态中一样,而且在维持稳态时,非零旋度通量还起到了额外的保持性作用;(5)规范理论和一种几何联系,其中通量被发现是规范场曲率和拓扑相的起源,类似于量子力学中的Berry相;(6)耦合景观,利用景观通量理论分析非平衡动态下多个景观的非绝热性,非零旋度通量产生涡流;(7)随机空间动力学,其中景观和通量理论可以推广到非平衡场理论。我们提供了生物系统的具体例子来展示景观和通量理论的新见解。这些模型包括(1)细胞周期模型,其中景观将系统吸引到振荡吸引子,而通量驱动振荡环上的相干运动,细胞周期的不同阶段被识别为周期路径上的局部盆地,生物检查点被识别为细胞周期路径上局部盆地之间的局部障碍或过渡状态;(2)干细胞分化,其中Waddington景观的发展以及分化和重编程路径可以量化;(3)癌症生物学,其中癌症可以被描述为具有多种细胞状态的疾病,并且癌症状态和正常状态可以量化为潜在景观上的吸引力盆地,而正常状态和癌症状态之间的转换可以量化为两个吸引子之间的转换;(4)利用等位基因频率依赖选择的具体例子,可以量化超越Wright和Fisher的更一般的进化动力学;(5)生态学,量化捕食者-猎物、合作与竞争的景观和通量以及全球稳定性;(6)神经网络,其中一般不对称连接被认为是学习和记忆;基因自我调节,其中基因表达的非绝热动态可以用扩展维度的景观和通量来描述和分析处理;(7)混沌奇异吸引子,其中通量对混沌动力学至关重要;(8)空间的发展,空间景观可以用来描述过程和格局的形成。本文还对该理论的哲学意义和未来的研究进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Landscape and flux theory of non-equilibrium dynamical systems with application to biology
We present a review of the recently developed landscape and flux theory for non-equilibrium dynamical systems. We point out that the global natures of the associated dynamics for non-equilibrium system are determined by two key factors: the underlying landscape and, importantly, a curl probability flux. The landscape (U) reflects the probability of states (P) () and provides a global characterization and a stability measure of the system. The curl flux term measures how much detailed balance is broken and is one of the two main driving forces for the non-equilibrium dynamics in addition to the landscape gradient. Equilibrium dynamics resembles electron motion in an electric field, while non-equilibrium dynamics resembles electron motion in both electric and magnetic fields. The landscape and flux theory has many interesting consequences including (1) the fact that irreversible kinetic paths do not necessarily pass through the landscape saddles; (2) non-equilibrium transition state theory at the new saddle on the optimal paths for small but finite fluctuations; (3) a generalized fluctuation–dissipation relationship for non-equilibrium dynamical systems where the response function is not just equal to the fluctuations at the steady state alone as in the equilibrium case but there is an additional contribution from the curl flux in maintaining the steady state; (4) non-equilibrium thermodynamics where the free energy change is not just equal to the entropy production alone, as in the equilibrium case, but also there is an additional house-keeping contribution from the non-zero curl flux in maintaining the steady state; (5) gauge theory and a geometrical connection where the flux is found to be the origin of the gauge field curvature and the topological phase in analogy to the Berry phase in quantum mechanics; (6) coupled landscapes where non-adiabaticity of multiple landscapes in non-equilibrium dynamics can be analyzed using the landscape and flux theory and an eddy current emerges from the non-zero curl flux; (7) stochastic spatial dynamics where landscape and flux theory can be generalized for non-equilibrium field theory. We provide concrete examples of biological systems to demonstrate the new insights from the landscape and flux theory. These include models of (1) the cell cycle where the landscape attracts the system down to an oscillation attractor while the flux drives the coherent motion on the oscillation ring, the different phases of the cell cycle are identified as local basins on the cycle path and biological checkpoints are identified as local barriers or transition states between the local basins on the cell-cycle path; (2) stem cell differentiation where the Waddington landscape for development as well as the differentiation and reprogramming paths can be quantified; (3) cancer biology where cancer can be described as a disease of having multiple cellular states and the cancer state as well as the normal state can be quantified as basins of attractions on the underlying landscape while the transitions between normal and cancer states can be quantified as the transitions between the two attractors; (4) evolution where more general evolution dynamics beyond Wright and Fisher can be quantified using the specific example of allele frequency-dependent selection; (5) ecology where the landscape and flux as well as the global stability of predator–prey, cooperation and competition are quantified; (6) neural networks where general asymmetrical connections are considered for learning and memory, gene self-regulators where non-adiabatic dynamics of gene expression can be described with the landscape and flux in expanded dimensions and analytically treated; (7) chaotic strange attractor where the flux is crucial for the chaotic dynamics; (8) development in space where spatial landscape can be used to describe the process and pattern formation. We also give the philosophical implications of the theory and the outlook for future studies.
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来源期刊
Advances in Physics
Advances in Physics 物理-物理:凝聚态物理
CiteScore
67.60
自引率
0.00%
发文量
1
期刊介绍: Advances in Physics publishes authoritative critical reviews by experts on topics of interest and importance to condensed matter physicists. It is intended for motivated readers with a basic knowledge of the journal’s field and aims to draw out the salient points of a reviewed subject from the perspective of the author. The journal''s scope includes condensed matter physics and statistical mechanics: broadly defined to include the overlap with quantum information, cold atoms, soft matter physics and biophysics. Readership: Physicists, materials scientists and physical chemists in universities, industry and research institutes.
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