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arXiv 2302.03441math.AP
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具有 $H^1$ 收敛性的 Dirichlet 边界非局部扩散模型

A Nonlocal diffusion model with $H^1$ convergence for Dirichlet Boundary

Tangjun Wang, Zuoqiang Shi

AI总结:

本文提出一种带 Dirichlet 边界条件的 Poisson 方程非局部模型,通过将法向导数作为辅助变量推导边界非局部近似,在保持强制性与对称性下证明了其适定性及 $H^1$ 范数一阶收敛性,并可推广至 Robin 边界问题。

摘要:

本文提出了一种针对 Poisson 方程及相应特征问题且带有 Dirichlet 边界条件的非局部模型。在直接推导该非局部模型时,需要用到 Dirichlet 边界未知的法向导数。为克服此困难,我们将法向导数作为辅助变量,并推导出边界条件的相应非局部近似。对于这一专门设计的非局部模型,我们能够证明其适定性及对相应连续模型的收敛性。该非局部模型经过精心设计,以保持强制性和对称性。基于这些良好性质,我们证明了非局部模型在 $H^1$ 范数下以一阶速率收敛。我们的模型可以自然地推广到带有 Robin 边界的 Poisson 问题及相应的特征值问题。

英文摘要:

In this paper, we present a nonlocal model for Poisson equation and corresponding eigenproblem with Dirichlet boundary condition. In the direct derivation of the nonlocal model, normal derivative is required which is not known for Dirichlet boundary. To overcome this difficulty, we treat the normal derivative as an auxiliary variable and derive corresponding nonlocal approximation of the boundary condition. For this specifically designed nonlocal mode, we can prove its well-posedness and convergence to the counterpart continuous model. The nonlocal model is carefully designed such that coercivity and symmetry are preserved. Based on these good properties, we can prove the nonlocal model converges with first order rate in $H^1$ norm. Our model can be naturally extended to Poisson problems with Robin boundary and corresponding eigenvalue problem.

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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