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From Continuum Fokker-Planck Models to Discrete Kinetic Models

机译:从连续福克-普朗克模型到离散动力学模型

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摘要

Two theoretical formalisms are widely used in modeling mechanochemical systems such as protein motors: continuum Fokker-Planck models and discrete kinetic models. Both have advantages and disadvantages. Here we present a “finite volume” procedure to solve Fokker-Planck equations. The procedure relates the continuum equations to a discrete mechanochemical kinetic model while retaining many of the features of the continuum formulation. The resulting numerical algorithm is a generalization of the algorithm developed previously by Fricks, Wang, and Elston through relaxing the local linearization approximation of the potential functions, and a more accurate treatment of chemical transitions. The new algorithm dramatically reduces the number of numerical cells required for a prescribed accuracy. The kinetic models constructed in this fashion retain some features of the continuum potentials, so that the algorithm provides a systematic and consistent treatment of mechanical-chemical responses such as load-velocity relations, which are difficult to capture with a priori kinetic models. Several numerical examples are given to illustrate the performance of the method.
机译:在机械化学系统(例如蛋白质马达)的建模中,广泛使用了两种理论形式主义:连续Fokker-Planck模型和离散动力学模型。两者都有优点和缺点。在这里,我们提出了一个“有限体积”程序来求解Fokker-Planck方程。该程序将连续方程方程式与离散的机械化学动力学模型联系起来,同时保留了连续介质配方的许多特征。所得的数值算法是Fricks,Wang和Elston先前通过放松势函数的局部线性化近似并更精确地处理化学跃迁而开发的算法的概括。新算法大大减少了达到规定精度所需的数字像元数量。以这种方式构造的动力学模型保留了连续电位的某些特征,因此该算法提供了对机械化学反应(如载荷-速度关系)的系统且一致的处理,而先验动力学模型很难捕获这些化学-化学反应。给出了几个数值示例来说明该方法的性能。

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