用最优化方法求解一类拟线性边值问题

Pub Date : 2023-06-09 DOI:10.21136/AM.2023.0194-22
Michaela Bailová, Jiří Bouchala
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引用次数: 0

摘要

本文提出了一种用p-拉普拉斯算子求解一类拟线性边值问题的新方法,可以看作是基于山口定理的经典方法的一种替代方法。给出了证明非平凡弱解存在性的一种新方法。我们证明了问题的非平凡解与某一不同于能量泛函的泛函的临界点有关,并且一些解对应于它的极小值。即使对于p = 2,这个想法也是新的。在此基础上提出了一种算法,并将其应用于实际问题。通过数值实验对该算法进行了验证,并与经典方法进行了比较。
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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A new approach to solving a quasilinear boundary value problem with p-Laplacian using optimization

We present a novel approach to solving a specific type of quasilinear boundary value problem with p-Laplacian that can be considered an alternative to the classic approach based on the mountain pass theorem. We introduce a new way of proving the existence of nontrivial weak solutions. We show that the nontrivial solutions of the problem are related to critical points of a certain functional different from the energy functional, and some solutions correspond to its minimum. This idea is new even for p = 2. We present an algorithm based on the introduced theory and apply it to the given problem. The algorithm is illustrated by numerical experiments and compared with the classic approach.

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