Minimizers for an Aggregation Model with Attractive–Repulsive Interaction

IF 2.6 1区 数学 Q1 MATHEMATICS, APPLIED
Rupert L. Frank, Ryan W. Matzke
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引用次数: 0

Abstract

We solve explicitly a certain minimization problem for probability measures involving an interaction energy that is repulsive at short distances and attractive at large distances. We complement earlier works by showing that in an optimal part of the remaining parameter regime all minimizers are uniform distributions on a surface of a sphere, thus showing concentration on a lower dimensional set. Our method of proof uses convexity estimates on hypergeometric functions.

具有吸引力-反冲性相互作用的聚集模型的最小化模型
我们明确地解决了涉及相互作用能量的概率计量的某个最小化问题,这种相互作用能量在短距离内是排斥的,在大距离内是吸引的。我们通过证明在剩余参数机制的最优部分,所有最小化量都是球面上的均匀分布,从而显示了在低维集合上的集中,补充了之前的工作。我们的证明方法使用了超几何函数的凸性估计。
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来源期刊
CiteScore
5.10
自引率
8.00%
发文量
98
审稿时长
4-8 weeks
期刊介绍: The Archive for Rational Mechanics and Analysis nourishes the discipline of mechanics as a deductive, mathematical science in the classical tradition and promotes analysis, particularly in the context of application. Its purpose is to give rapid and full publication to research of exceptional moment, depth and permanence.
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