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Mean-square dissipativity of numerical methods for a class of resource-competition models with fractional Brownian motion

机译:一类分数布朗运动的资源竞争模型数值方法的均方耗散

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The concept of dissipativity in dynamical systems generalizes the idea of a Lyapunov stability. In this paper the dissipativity is used to designate that the system possesses a bounded absorbing set. Specifically, this paper studies mean-square dissipativity of two numerical methods for a class of resource-competition models with fractional Brownian motion (fBm). Some conditions under which the underlying systems are mean-square dissipative are established. It is shown that the mean-square dissipativity is preserved by the split-step θ-method (SSθ) under some constraints, while the split-step backward Euler method (SSBE) could inherit mean-square dissipativity without any restriction on stepsize. The results of this study indicate that the split-step backward Euler method (SSBE) outperforms the split-step θ-method (SSθ) in terms of mean-square dissipativity. Finally, an example is given to illustrate the effectiveness of the results.
机译:动力系统中的耗散性概念概括了Lyapunov稳定性的思想。在本文中,耗散性用于表示系统具有有界吸收集。具体而言,本文针对分数布朗运动(fBm)的一类资源竞争模型研究了两种数值方法的均方耗散性。建立了基础系统为均方耗散的一些条件。结果表明,在某些约束条件下,均方差耗散度由分步θ方法(SSθ)保留,而分步向后欧拉方法(SSBE)可以继承均方耗散度,而对步长没有任何限制。研究结果表明,就均方耗散而言,分步向后欧拉方法(SSBE)优于分步θ方法(SSθ)。最后,给出一个例子来说明结果的有效性。

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