随机半线性演化方程在极大区间上的动态低秩逼近的存在性。

Yoshihito Kazashi, Fabio Nobile
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引用次数: 6

摘要

给出了一类随机半线性进化方程的动态低秩逼近的存在性结果。DLR解通过确定性基函数和随机基函数乘积的线性组合近似于每个时刻的真解,两者都随时间而变化。我们证明的关键是找到原问题的合适的等价公式。所谓的对偶动态正交公式证明是方便的。在此基础上,将DLR近似转化为一个合适线性空间中的抽象柯西问题,证明了该问题解在极大区间内的存在唯一性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval.

An existence result is presented for the dynamical low rank (DLR) approximation for random semi-linear evolutionary equations. The DLR solution approximates the true solution at each time instant by a linear combination of products of deterministic and stochastic basis functions, both of which evolve over time. A key to our proof is to find a suitable equivalent formulation of the original problem. The so-called Dual Dynamically Orthogonal formulation turns out to be convenient. Based on this formulation, the DLR approximation is recast to an abstract Cauchy problem in a suitable linear space, for which existence and uniqueness of the solution in the maximal interval are established.

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