Unconditionally optimal error estimates of linearized Crank-Nicolson Virtual element methods for quasilinear parabolic problems on general polygonal meshes

Yang Wang, Huaming Yi, Xiaohong Fan, Guanrong Li
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Abstract

In this paper, we construct, analyze, and numerically validate a linearized Crank-Nicolson virtual element method (VEM) for solving quasilinear parabolic problems on general polygonal meshes. In particular, we consider the more general nonlinear term a(x,u), which does not require Lipschitz continuity or uniform ellipticity conditions. To ensure that the fully discrete solution remains bounded in L∞ norm, we construct two novel elliptic projections and apply a new error splitting technique. With the help of the boundedness of the numerical solution and delicate analysis of the nonlinear term, we derive the optimal error estimates for any k-order VEMs without any time-step restrictions. Numerical experiments on various polygonal meshes validate the accuracy of the theoretical analysis and the unconditional convergence of the proposed scheme.
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一般多边形网格上准线性抛物问题的线性化 Crank-Nicolson 虚拟元素方法的无条件最优误差估计
本文构建、分析并数值验证了线性化 Crank-Nicolson 虚拟元素法(VEM),用于求解一般多边形网格上的准线性抛物线问题。特别是,我们考虑了更一般的非线性项 a(x,u),它不需要 Lipschitz 连续性或均匀椭圆性条件。为确保完全离散解在 L∞ 规范下保持有界,我们构建了两个新的椭圆投影,并应用了一种新的误差分割技术。借助数值解的有界性和对非线性项的精细分析,我们得出了任何 k 阶 VEM 的最优误差估计值,而不受任何时间步长的限制。在各种多边形网格上进行的数值实验验证了理论分析的准确性和所提方案的无条件收敛性。
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