Γ-convergence涉及具有不同水平的非局部梯度:局部和分数模型的恢复

IF 1.8 3区 数学 Q1 MATHEMATICS, APPLIED
Javier Cueto , Carolin Kreisbeck , Hidde Schönberger
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引用次数: 0

摘要

本工作围绕非局部超弹性模型的严格渐近分析展开。相应的变分问题涉及依赖于非局部梯度的积分泛函,具有有限的相互作用范围δ,称为视界。对相关核函数进行各向同性标度后,证明了在消失视界和发散视界两个临界极限区域的收敛结果。当非局部梯度局部化到经典梯度为δ→0时,我们恢复Riesz分数梯度为δ→∞,与我们开始的非局部梯度无关。除了非局部梯度的严格收敛声明外,我们在这两种情况下的分析都需要在δ中均匀地紧密嵌入作为关键因素。这些工具使我们能够分别推导出具有变视界的拟凸积分泛函的局部和分数对应物Γ-convergence。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Γ-convergence involving nonlocal gradients with varying horizon: Recovery of local and fractional models
This work revolves around the rigorous asymptotic analysis of models in nonlocal hyperelasticity. The corresponding variational problems involve integral functionals depending on nonlocal gradients with a finite interaction range δ, called the horizon. After an isotropic scaling of the associated kernel functions, we prove convergence results in the two critical limit regimes of vanishing and diverging horizon. While the nonlocal gradients localize to the classical gradient as δ0, we recover the Riesz fractional gradient as δ, irrespective of the nonlocal gradient we started with. Besides rigorous convergence statements for the nonlocal gradients, our analysis in both cases requires compact embeddings uniformly in δ as a crucial ingredient. These tools enable us to derive the Γ-convergence of quasiconvex integral functionals with varying horizon to their local and fractional counterparts, respectively.
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来源期刊
CiteScore
3.80
自引率
5.00%
发文量
176
审稿时长
59 days
期刊介绍: Nonlinear Analysis: Real World Applications welcomes all research articles of the highest quality with special emphasis on applying techniques of nonlinear analysis to model and to treat nonlinear phenomena with which nature confronts us. Coverage of applications includes any branch of science and technology such as solid and fluid mechanics, material science, mathematical biology and chemistry, control theory, and inverse problems. The aim of Nonlinear Analysis: Real World Applications is to publish articles which are predominantly devoted to employing methods and techniques from analysis, including partial differential equations, functional analysis, dynamical systems and evolution equations, calculus of variations, and bifurcations theory.
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