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A priori estimation of memory effects in reduced-order models of nonlinear systems using the Mori–Zwanzig formalism

机译:使用Mori-Zwanzig形式主义对非线性系统降阶模型中的记忆效应进行先验估计

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摘要

Reduced models of nonlinear dynamical systems require closure, or the modelling of the unresolved modes. The Mori–Zwanzig procedure can be used to derive formally closed evolution equations for the resolved physics. In these equations, the unclosed terms are recast as a memory integral involving the time history of the resolved variables. While this procedure does not reduce the complexity of the original system, these equations can serve as a mathematically consistent basis to develop closures based on memory approximations. In this scenario, knowledge of the memory kernel is paramount in assessing the validity of a memory approximation. Unravelling the memory kernel requires solving the orthogonal dynamics, which is a high-dimensional partial differential equation that is intractable, in general. A method to estimate the memory kernel a priori, using full-order solution snapshots, is proposed. The key idea is to solve a pseudo orthogonal dynamics equation, which has a convenient Liouville form, instead. This ersatz arises from the assumption that the semi-group of the orthogonal dynamics is a composition operator for one observable. The method is exact for linear systems. Numerical results on the Burgers and Kuramoto–Sivashinsky equations demonstrate that the proposed technique can provide valuable information about the memory kernel.
机译:简化后的非线性动力学系统模型需要闭合,或对未解析模式进行建模。 Mori-Zwanzig过程可用于导出解析物理学的形式上封闭的演化方程。在这些方程式中,未封闭的项被重新映射为涉及所解析变量的时间历史的内存积分。尽管此过程不会降低原始系统的复杂性,但这些方程式可以作为数学上一致的基础,以基于内存近似来开发闭包。在这种情况下,内存内核的知识对于评估内存近似的有效性至关重要。解开内存内核需要解决正交动力学问题,这是一个通常很难处理的高维偏微分方程。提出了一种使用全序解决方案快照先验估计内存内核的方法。关键思想是求解具有方便的Liouville形式的伪正交动力学方程。这种假设源自这样一个假设,即正交动力学的半群是一个可观察到的合成算子。该方法适用于线性系统。在Burgers和Kuramoto-Sivashinsky方程上的数值结果表明,所提出的技术可以提供有关内存内核的有价值的信息。

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