A Maximization Problem Involving a Fractional Laplace Type Operator

C. Qiu
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Abstract

Fractional Laplacian is an important nonlocal operator which has many applications in different kinds of differential equations. Recently, optimization problems involving the fractional Laplacian have been studied a lot by many authors. However, most of these papers are focusing on the optimization problems related to the first eigenvalue of the equation. Optimization problems related to the energy functional of the equation have not been investigated well enough. In this paper, we are going to study a maximization problem related to the energy functional of an equation involving a fractional Laplace type operator. Firstly, by using suitable variational framework in a fractional Sobolev space, we can show that a fractional equation has a solution which is in fact the global minimum of the corresponding energy functional. Moreover, by using reduction to absurdity we can obtain the uniqueness of the solution of the fractional equation. Then, we focus on a maximization problem related to the equation which takes the energy functional as the objective functional. Finally, by carefully analysing the properties of an arbitrarily choosen minimizing sequence and the tools of the rearrangement theory, we can prove that the maximization problem is solvable.
涉及分数阶拉普拉斯算子的最大化问题
分数阶拉普拉斯算子是一种重要的非局部算子,在不同类型的微分方程中有着广泛的应用。近年来,许多学者对涉及分数阶拉普拉斯算子的优化问题进行了大量的研究。然而,这些论文大多集中在与方程的第一个特征值有关的优化问题上。与该方程的能量泛函相关的优化问题还没有得到充分的研究。在本文中,我们将研究一个涉及分数阶拉普拉斯算子的方程的能量泛函的最大化问题。首先,通过在分数阶Sobolev空间中使用合适的变分框架,我们可以证明分数阶方程的解实际上是相应能量泛函的全局最小值。此外,利用荒谬还原法可以得到分数阶方程解的唯一性。然后,重点研究了以能量泛函为目标泛函的方程的最大化问题。最后,通过仔细分析任意选择的最小序列的性质和重排理论的工具,我们可以证明最大化问题是可解的。
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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