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We study the minimization of a spectral functional made as the sum of the first eigenvalue of the Dirichlet Laplacian and the relative strength of a Riesz-type interaction functional. We show that when the Riesz repulsion strength is below…

Analysis of PDEs · Mathematics 2021-03-09 Dario Mazzoleni , Berardo Ruffini

This paper is concerned with volume-constrained minimization problems derived from Gamow's liquid drop model for the atomic nucleus, involving the competition of a perimeter term and repulsive nonlocal potentials. We consider a large class…

Analysis of PDEs · Mathematics 2021-05-04 Marc Pegon

In this article, I present a volume average regularization for the second functional derivative operator that appears in the metric-basis Wheeler-DeWitt equation. Naively, the second functional derivative operator in the Wheeler-DeWitt…

General Relativity and Quantum Cosmology · Physics 2018-07-31 Justin C. Feng

We present a class of models of elastic phase transitions with incompatible energy wells in any space dimension, where an abundance of Lipschitz global minimizers in a hard device coexists with a complete lack of strong local minimizers.…

Analysis of PDEs · Mathematics 2023-06-06 Yury Grabovsky , Lev Truskinovsky

We focus on the analysis of local minimizers of the Mahler volume, that is to say the local solutions to the problem $$\min\{ M(K):=|K||K^\circ|\;/\;K\subset\R^d\textrm{ open and convex}, K=-K\}, $$ where $K^\circ:=\{\xi\in\R^d ; \forall…

Optimization and Control · Mathematics 2015-03-19 Evans Harrell , Antoine Henrot , Jimmy Lamboley

The general problem is studied on a simple example. A quantum particle in an infinite one-dimensional well potential is considered. Let the boundaries of well changes in a finite time $T$. The standard methods for calculating probability of…

Quantum Physics · Physics 2019-01-15 I. F. Ginzburg

Consider the setting where each vertex of a graph has a function, and communications can only occur between vertices connected by an edge. We wish to minimize the sum of these functions. For the case when each function is the sum of a…

Optimization and Control · Mathematics 2018-11-29 C. H. Jeffrey Pang

We obtain regularity conditions of a new type of problems of the calculus of variations with second-order derivatives. As a corollary, we get non-occurrence of the Lavrentiev phenomenon. Our main result asserts that autonomous integral…

Optimization and Control · Mathematics 2008-02-23 Moulay Rchid Sidi Ammi , Delfim F. M. Torres

We study a symmetric random walk (RW) in one spatial dimension in environment, formed by several zones of finite width, where the probability of transition between two neighboring points and corresponding diffusion coefficient are…

Statistical Mechanics · Physics 2017-04-03 A. V. Nazarenko , V. Blavatska

In this paper we study vector-valued almost minimizers of the energy functional $$ \int_D\left(|\nabla\mathbf{u}|^2+2|\mathbf{u}|\right)\,dx . $$ We establish the regularity for both minimizers and the "regular" part of the free boundary.…

Analysis of PDEs · Mathematics 2021-12-02 Daniela De Silva , Seongmin Jeon , Henrik Shahgholian

We prove a threshold phenomenon for the existence of solitary solutions of the dispersion management equation for positive and zero average dispersion for a large class of nonlinearities. These solutions are found as minimizers of nonlinear…

Analysis of PDEs · Mathematics 2016-10-31 Mi-Ran Choi , Dirk Hundertmark , Young-Ran Lee

We consider a multidimensional random walk in a product random environment with bounded steps, transience in some spatial direction, and high enough moments on the regeneration time. We prove an invariance principle, or functional central…

Probability · Mathematics 2015-05-13 Firas Rassoul-Agha , Timo Seppalainen

Time analysis of oscillations of a particle between wells in the one-dimensional double-well potential with infinite high outside walls, based on wave packet use and energy spectrum analysis, is presented. For the double-well potential of…

Nuclear Theory · Physics 2007-05-23 Sergei P. Maydanyuk

We investigate minimizers defined on a bounded domain $\Omega$ in $\mathbb{R}^2$ for singular constrained energy functionals that include Ball and Majumdar's modification of the Landau-de Gennes Q-tensor model for nematic liquid crystals.…

Analysis of PDEs · Mathematics 2021-11-17 Patricia Bauman , Daniel Phillips

In this paper we show that any increasing functional of the first k eigenvalues of the Dirichlet Laplacian admits a (quasi-)open minimizer among the subsets of R^N of unit measure. In particular, there exists such a minimizer which is…

Functional Analysis · Mathematics 2011-12-02 Dario Mazzoleni , Aldo Pratelli

We consider quantum tunnelling in asymmetric double-well systems for which the local minima in the two wells have the same energy, but the frequencies differ slightly. We derive a generalization of instanton theory for these asymmetric…

Chemical Physics · Physics 2020-09-04 Elena Jahr , Gabriel Laude , Jeremy O. Richardson

We study a nonlocal perimeter functional inspired by the Minkowski content, whose main feature is that it interpolates between the classical perimeter and the volume functional. This problem is related by a generalized coarea formula to a…

Analysis of PDEs · Mathematics 2018-03-06 Annalisa Cesaroni , Serena Dipierro , Matteo Novaga , Enrico Valdinoci

We prove a non-standard functional limit theorem for a two dimensional simple random walk on some randomly oriented lattices. This random walk, already known to be transient, has different horizontal and vertical fluctuations leading to…

Probability · Mathematics 2007-05-24 Nadine Guillotin-Plantard , Arnaud Le Ny

We introduce a class of multi-scale systems with discrete time, motivated by the problem of inviscid limit in fluid dynamics in the presence of small-scale noise. These systems are infinite-dimensional and defined on a scale-invariant…

Mathematical Physics · Physics 2023-04-19 Alexei A. Mailybaev , Artem Raibekas

The objective of a two-stage submodular maximization problem is to reduce the ground set using provided training functions that are submodular, with the aim of ensuring that optimizing new objective functions over the reduced ground set…

Data Structures and Algorithms · Computer Science 2023-11-03 Shaojie Tang
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