截断分数梯度的非局部格林定理和亥姆霍兹分解

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED Applied Mathematics and Optimization Pub Date : 2024-07-04 DOI:10.1007/s00245-024-10160-3
José Carlos Bellido, Javier Cueto, Mikil D. Foss, Petronela Radu
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引用次数: 0

摘要

在这项工作中,我们进一步发展了与奇异分数型算子相关的非局部微积分理论(最初在 Bellido 等人(Adv Nonlinear Anal 12:20220316, 2023)中提出),该算子显示出具有有限相互作用支持的核。该框架对非局部弹性和周动力学理论的适用性吸引了越来越多的兴趣和动力来研究它并找到与其经典对应物的联系。特别是,本文的一个重要贡献是提出了矢量等式、部分积分定理(如发散定理、格林等式)以及亥姆霍兹-霍奇分解。这些估计和沿途进行的分析为证明框架中的其他结果提供了垫脚石,也为数值实现提供了途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Nonlocal Green Theorems and Helmholtz Decompositions for Truncated Fractional Gradients

In this work we further develop a nonlocal calculus theory (initially introduced in Bellido et al. (Adv Nonlinear Anal 12:20220316, 2023)) associated with singular fractional-type operators which exhibit kernels with finite support of interactions. The applicability of the framework to nonlocal elasticity and the theory of peridynamics has attracted increased interest and motivation to study it and find connections with its classical counterpart. In particular, a critical contribution of this paper is producing vector identities, integration by part type theorems (such as the Divergence Theorem, Green identities), as well as a Helmholtz–Hodge decomposition. The estimates, together with the analysis performed along the way provide stepping stones for proving additional results in the framework, as well as pathways for numerical implementations.

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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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