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arXiv 2603.04055math.NAcs.NAmath.AP
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基于标量辅助变量的半隐式方案用于随机Cahn-Hilliard方程

A scalar auxiliary variable-based semi-implicit scheme for stochastic Cahn--Hilliard equation

The Hong Kong Polytechnic University(香港理工大学);Eastern Institute of Technology(宁波东方理工大学)

Jianbo Cui, Jie Shen, Derui Sheng, Yahong Xiang

AI总结:

本文提出基于标量辅助变量的半隐式方案,用于解决由乘性噪声驱动的随机Cahn-Hilliard方程,实现了高阶强收敛性并保持能量演化规律。

摘要:

本文提出了一种新颖的半隐式数值方案,用于由乘性噪声驱动的随机Cahn-Hilliard方程。通过将原始方程重新公式化为等价的随机标量辅助变量(SSAV)系统,我们的方法能够以半隐式方式高效稳定地处理多项式非线性项。为了准确捕捉随机扰动的影响,我们仔细地将Ito校正项纳入SSAV近似中。利用底层半群的平滑性质和非线性项的$H^{-1}$-耗散结构,我们建立了在迹类噪声情况下所提出方案的最佳强收敛阶为1/2。此外,我们证明了修改后的SAV能量渐近地保持能量演变规律。最后,提供了数值实验以验证理论结果,并探讨噪声在尖锐界面极限附近的影响。

英文摘要:

In this paper, we present a novel semi-implicit numerical scheme for the stochastic Cahn--Hilliard equation driven by multiplicative noise. By reformulating the original equation into an equivalent stochastic scalar auxiliary variable (SSAV) system, our method enables an efficient and stable treatment of polynomial nonlinearities in a semi-implicit fashion. In order to accurately capture the impact of stochastic perturbations, we carefully incorporate Itô correction terms into the SSAV approximation. Leveraging the smoothing properties of the underlying semigroup and the $H^{-1}$-dissipative structure of the nonlinear term, we establish the optimal strong convergence order of one-half for the proposed scheme in the trace-class noise case. Moreover, we show that the modified SAV energy asymptotically preserves the energy evolution law. Finally, numerical experiments are provided to validate the theoretical results and to explore the influence of noise near the sharp-interface limit.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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