非发散型椭圆均匀化问题的最优收敛速率:分析与数值实例

Timo Sprekeler, H. Tran
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引用次数: 10

摘要

在齐次Dirichlet边界条件下,研究了形式为$-A(x/\varepsilon):D^2 u^{\varepsilon} = f$的线性椭圆方程周期均匀化的最优收敛率。我们证明了$u^{\varepsilon}$收敛到W^{1,p}$-范数对应的齐次化问题的解的最优速率为$\mathcal{O}(\varepsilon)$。在L^p$-范数中考虑了校正项,进一步得到了最优梯度和Hessian界。然后,我们提供了一个显式的$c$-bad扩散矩阵,并用它进行了各种数值实验,证明了所得到的速率的最优性。
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Optimal Convergence Rates for Elliptic Homogenization Problems in Nondivergence-Form: Analysis and Numerical Illustrations
We study optimal convergence rates in the periodic homogenization of linear elliptic equations of the form $-A(x/\varepsilon):D^2 u^{\varepsilon} = f$ subject to a homogeneous Dirichlet boundary condition. We show that the optimal rate for the convergence of $u^{\varepsilon}$ to the solution of the corresponding homogenized problem in the $W^{1,p}$-norm is $\mathcal{O}(\varepsilon)$. We further obtain optimal gradient and Hessian bounds with correction terms taken into account in the $L^p$-norm. We then provide an explicit $c$-bad diffusion matrix and use it to perform various numerical experiments, which demonstrate the optimality of the obtained rates.
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