The combinatorial structure of Lotka–Volterra equations and the Koopman operator

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Francesco Caravelli , Yen Ting Lin
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引用次数: 0

Abstract

We study an approach to obtaining the exact formal solution of the 2-species Lotka–Volterra equation based on combinatorics and generating functions. By employing a combination of Carleman linearization and Mori–Zwanzig reduction techniques, we transform the nonlinear equations into a linear system, allowing for the derivation of a formal solution. The Mori–Zwanzig reduction reduces to an expansion which we show can be interpreted as a directed and weighted lattice path walk, which we use to obtain a representation of the system dynamics as walks of fixed length. The exact solution is then shown to be dependent on the generator of weighted walks. We show that the generator can be obtained by the solution of PDE which in turn is equivalent to a particular Koopman evolution of nonlinear observables.
Lotka-Volterra方程的组合结构与Koopman算子
研究了一种基于组合学和生成函数的2种Lotka-Volterra方程精确形式解的方法。通过采用Carleman线性化和Mori-Zwanzig约简技术的组合,我们将非线性方程转换为线性系统,允许推导形式解。Mori-Zwanzig约简可以被解释为一个有向和加权的晶格路径行走,我们用它来获得系统动力学作为固定长度行走的表示。精确的解随后被证明依赖于加权行走的生成器。我们证明了发电机可以由PDE的解得到,而PDE又等价于非线性观测的一个特定的Koopman演化。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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