非局部梯度迪里夏特能量的紧凑性结果及其应用

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED Numerical Methods for Partial Differential Equations Pub Date : 2024-09-14 DOI:10.1002/num.23149
Zhaolong Han, Tadele Mengesha, Xiaochuan Tian
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引用次数: 0

摘要

我们证明了具有有限迪里希特能的半空间非局部梯度函数空间的两个紧凑性结果。在每一个结果中,我们都提供了内核函数序列的充分条件,以保证相关非局部函数空间渐近紧凑地嵌入到平方可积分函数类中。此外,我们还将证明非局部函数空间序列在适当意义上收敛于极限函数空间。作为应用,我们证明了半空间梯度算子序列的统一波恩卡列式不等式。我们还将应用紧凑性结果来证明适当参数化的非局部异质各向异性扩散问题的收敛性。我们将为这类问题构建渐近兼容方案。另一个应用涉及非局部最优控制问题的收敛性和稳健离散化。
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Compactness results for a Dirichlet energy of nonlocal gradient with applications
We prove two compactness results for function spaces with finite Dirichlet energy of half‐space nonlocal gradients. In each of these results, we provide sufficient conditions on a sequence of kernel functions that guarantee the asymptotic compact embedding of the associated nonlocal function spaces into the class of square‐integrable functions. Moreover, we will demonstrate that the sequence of nonlocal function spaces converges in an appropriate sense to a limiting function space. As an application, we prove uniform Poincaré‐type inequalities for sequence of half‐space gradient operators. We also apply the compactness result to demonstrate the convergence of appropriately parameterized nonlocal heterogeneous anisotropic diffusion problems. We will construct asymptotically compatible schemes for these type of problems. Another application concerns the convergence and robust discretization of a nonlocal optimal control problem.
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来源期刊
CiteScore
7.20
自引率
2.60%
发文量
81
审稿时长
9 months
期刊介绍: An international journal that aims to cover research into the development and analysis of new methods for the numerical solution of partial differential equations, it is intended that it be readily readable by and directed to a broad spectrum of researchers into numerical methods for partial differential equations throughout science and engineering. The numerical methods and techniques themselves are emphasized rather than the specific applications. The Journal seeks to be interdisciplinary, while retaining the common thread of applied numerical analysis.
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