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Non-normal drift structures and linear stability analysis of numerical methods for systems of stochastic differential equations

机译:随机微分方程系统的非正态漂移结构和数值方法的线性稳定性分析

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摘要

We investigate mean-square asymptotic stability of equilibria in linear systems of stochastic differential equations with non-normal drift coefficients, with particular emphasis on the role of interactions between the drift and diffusion structures that act along, orthogonally to, and laterally to the flow. Hence we construct test systems with non-normal drift coefficients and characteristic diffusion structures for the purposes of a linear stability analysis of the θ-Maruyama method. Next we discretise these test systems and examine the mean-square asymptotic stability of equilibria of the resulting systems of stochastic difference equations. Finally we indicate how this approach may help to shed light on numerical discretisations of stochastic partial differential equations with multiplicative space-time perturbations.
机译:我们研究具有非正态漂移系数的随机微分方程线性系统中平衡点的均方渐近稳定性,尤其着重于漂移和扩散结构之间的相互作用的作用,这些结构沿流动,正交于流动和垂直于流动。因此,我们构建了具有非正态漂移系数和特征扩散结构的测试系统,以用于θ-Maruyama方法的线性稳定性分析。接下来,我们离散化这些测试系统,并检验所得随机差分方程组均衡的均方渐近稳定性。最后,我们指出了该方法如何有助于阐明具有时空扰动的随机偏微分方程的数值离散。

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