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This paper outlines an energy-minimization finite-element approach to the modeling of equilibrium configurations for nematic liquid crystals in the presence of internal and external electric fields. The method targets minimization of system…

Computational Physics · Physics 2014-07-14 J. H. Adler , T. J. Atherton , T. R. Benson , D. B. Emerson , S. P. MacLachlan

We investigate the effect of linear diffusion and interactions with the domain boundary on swarm equilibria by analyzing critical points of the associated energy functional. Through this process we uncover two properties of energy…

Analysis of PDEs · Mathematics 2019-08-27 Daniel A. Messenger , Razvan C. Fetecau

Inspired by R. Bartnik's mass minimization problem in general relativity, we investigate a dual problem of maximizing the capacity among asymptotically flat extensions (with nonnegative scalar curvature) of some fixed two-dimensional…

Differential Geometry · Mathematics 2026-02-16 Jeffrey L. Jauregui

We consider a minimization problem that combines the Dirichlet energy with the nonlocal perimeter of a level set, namely $$ \int_\Om |\nabla u(x)|^2\,dx+\Per\Big(\{u > 0\},\Om \Big),$$ with $\sigma\in(0,1)$. We obtain regularity results for…

Analysis of PDEs · Mathematics 2013-06-25 Luis Caffarelli , Ovidiu Savin , Enrico Valdinoci

To investigate solutions of (near-)optimal control problems, we extend and exploit a notion of homogeneity recently proposed in the literature for discrete-time systems. Assuming the plant dynamics is homogeneous, we first derive a scaling…

Optimization and Control · Mathematics 2021-09-24 Mathieu Granzotto , Romain Postoyan , Lucian Buşoniu , Dragan Nešić , Jamal Daafouz

Motivated by complex microstructures in the modelling of shape-memory alloys and by rigidity and flexibility considerations for the associated differential inclusions, in this article we study the energy scaling behaviour of a simplified…

Analysis of PDEs · Mathematics 2025-03-18 Angkana Rüland , Antonio Tribuzio

This paper is concerned with minimization of a fourth-order linearized Canham-Helfrich energy subject to Dirichlet boundary conditions on curves inside the domain. Such problems arise in the modeling of the mechanical interaction of…

Numerical Analysis · Mathematics 2017-09-27 Carsten Gräser , Tobias Kies

The consequences of the gauge-coupling dependent normalization-factor of $1/g^{\alpha}$ in the transfer-matrix of 2d U(1) lattice gauge theory are explored. It is seen by the $\alpha=1$ choice that the lowest energy develops a minimum at…

High Energy Physics - Lattice · Physics 2020-08-24 Narges Vadood , Amir H. Fatollahi

By adjusting the tunnelling couplings over longer than nearest neighbor distances it is possible in discrete lattice models to reproduce the properties of the lowest energy band of a real, continuous periodic potential. We propose to…

Other Condensed Matter · Physics 2007-08-20 Rune Piil , Klaus Molmer

We study two minimization questions: the nature of curves $\gamma \subset \mathbb{H}$ which minimize the Loewner energy among all curves from 0 to a fixed $z_0 \in \mathbb{H}$, and the nature of $\gamma$ which minimize the Loewner energy…

Complex Variables · Mathematics 2024-02-21 Tim Mesikepp

We derive a rigorous lower bound on the average local energy for the Ising model with quenched randomness. The result is that the lower bound is given by the average local energy calculated in the absence of all interactions other than the…

Disordered Systems and Neural Networks · Physics 2009-11-13 Hidetsugu Kitatani , Hidetoshi Nishimori , Akira Aoki

This paper is part of a program to combine a staggered time and staggered spatial discretization of continuum mechanics problems so that any property of the continuum that is proved using vector calculus can be proven in an analogous way…

Numerical Analysis · Mathematics 2019-01-15 Stanly L. Steinberg

We consider volume-constrained minimizers of the fractional perimeter with the addition of a potential energy in the form of a volume inte- gral. Such minimizers are solutions of the prescribed fractional curvature problem. We prove…

Analysis of PDEs · Mathematics 2016-03-01 Annalisa Cesaroni , Matteo Novaga

Understanding the properties of the stochastic phase field models is crucial to model processes in several practical applications, such as soft matters and phase separation in random environments. To describe such random evolution, this…

Numerical Analysis · Mathematics 2023-03-13 Jianbo Cui , Dianming Hou , Zhonghua Qiao

Optimisation problems in science and engineering typically involve finding the ground state (i.e. the minimum energy configuration) of a cost function with respect to many variables. If the variables are corrupted by noise then this…

Quantum Physics · Physics 2016-03-08 Nicholas Chancellor , Szilard Szoke , Walter Vinci , Gabriel Aeppli , Paul A. Warburton

We consider the question of quantitative stability of minimisers for a well-known variational problem for which the infimum of the energy is not achieved in the classical sense, namely for the Dirichlet energy of degree $1$ maps from closed…

Analysis of PDEs · Mathematics 2026-03-27 Melanie Rupflin , Sebastian Woodward

We study the dynamics of a chain of coupled particles subjected to a restoring force (Klein-Gordon lattice) in the cases of either periodic or Dirichlet boundary conditions. Precisely, we prove that, when the initial data are of small…

Dynamical Systems · Mathematics 2009-11-13 D. Bambusi , A. Carati , T. Penati

We study the discrete-to-continuum limit of ferromagnetic spin systems when the lattice spacing tends to zero. We assume that the atoms are part of a (maybe) non-periodic lattice close to a flat set in a lower dimensional space, typically a…

Analysis of PDEs · Mathematics 2018-03-16 Andrea Braides , Marco Cicalese , Matthias Ruf

We consider an elastic manifold of internal dimension $d$ and length $L$ pinned in a $N$ dimensional random potential and confined by an additional parabolic potential of curvature $\mu$. We are interested in the mean spectral density…

Disordered Systems and Neural Networks · Physics 2020-04-22 Yan V. Fyodorov , Pierre Le Doussal

It was recently proposed that neural networks could be used to approximate many-dimensional probability distributions that appear e.g. in lattice field theories or statistical mechanics. Subsequently they can be used as variational…

Statistical Mechanics · Physics 2022-11-17 Piotr Białas , Piotr Korcyl , Tomasz Stebel