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In this paper, a spectral method based on conformal mappings is proposed to solve Steklov eigenvalue problems and their related shape optimization problems in two dimensions. To apply spectral methods, we first reformulate the Steklov…

Numerical Analysis · Mathematics 2018-05-08 Weaam Alhejaili , Chiu-Yen Kao

We study the efficiency of the first Dirichlet eigenfunction $u$ on bounded convex domains $\Omega \subset \mathbb{R}^N$, defined as the ratio between the mean value of $u$ on $\Omega$ and its maximum value. By exploiting improved…

Analysis of PDEs · Mathematics 2026-04-27 Francesco Della Pietra

We consider the energy of the torsion problem with Robin boundary conditions in the case where the solution is not a minimizer. Its dependence on the volume of the domain and the surface area of the boundary is discussed. In contrast to the…

Optimization and Control · Mathematics 2015-05-07 Catherine Bandle , Alfred Wagner

We consider the problem of minimising the $k$-th eigenvalue of the Laplacian with some prescribed boundary condition over collections of convex domains of prescribed perimeter or diameter. It is known that these minimisation problems are…

Spectral Theory · Mathematics 2024-02-07 Sam Farrington

This paper is concerned with the maximisation of the k'th eigenvalue of the Laplacian amongst flat tori of unit volume in dimension d as k goes to infinity. We show that in any dimension maximisers exist for any given k, but that any…

Spectral Theory · Mathematics 2018-09-06 Jean Lagacé

In this article, we address the problem of determining a domain in $\mathbb{R}^N$ that minimizes the first eigenvalue of the Lam\'e system under a volume constraint. We begin by establishing the existence of such an optimal domain within…

Analysis of PDEs · Mathematics 2024-12-18 Antoine Henrot , Antoine Lemenant , Yannick Privat

We study the maximal Steklov eigenvalues of trees with given number of boundary vertices and total number of vertices. Trees can be regarded as discrete analogue of Hadamard manifolds, namely simply-connected Riemannian manifolds of…

Combinatorics · Mathematics 2025-07-01 Huiqiu Lin , Da Zhao

We present some new bounds for the first Robin eigenvalue with a negative boundary parameter. These include the constant volume problem, where the bounds are based on the shrinking coordinate method, and a proof that in the fixed perimeter…

Spectral Theory · Mathematics 2018-11-26 Pedro R. S. Antunes , Pedro Freitas , David Krejcirik

The Steklov eigenvalue problem, first introduced over 125 years ago, has seen a surge of interest in the past few decades. This article is a tour of some of the recent developments linking the Steklov eigenvalues and eigenfunctions of…

Spectral Theory · Mathematics 2023-09-06 Bruno Colbois , Alexandre Girouard , Carolyn Gordon , David Sher

We show that as the ratio between the first Dirichlet eigenvalues of a convex domain and of the ball with the same volume becomes large, the same must happen to the corresponding ratio of isoperimetric constants. The proof is based on the…

Spectral Theory · Mathematics 2008-06-10 Pedro Freitas , David Krejcirik

In this paper, we analyze an optimization problem for the first (nonlinear) Steklov eigenvalue plus a boundary potential with respect to the potential function which is assumed to be uniformly bounded and with fixed $L^1$-norm.

Analysis of PDEs · Mathematics 2013-11-25 Julian Fernandez Bonder , Graciela Giubergia , Fernando Mazzone

Inside a fixed bounded domain $\Omega$ of the plane, we look for the best compact connected set $K$, of given perimeter, in order to maximize the first Dirichlet eigenvalue $\lambda_1(\Omega\setminus K)$. We discuss some of the qualitative…

Analysis of PDEs · Mathematics 2018-03-28 Antoine Henrot , Davide Zucco

In this paper, using new correction to the Crouzeix-Raviart finite element eigenvalue approximations, we obtain lower eigenvalue bounds for the Steklov eigenvalue problem with variable coefficients on d-dimensional domains (d = 2,3). In…

Numerical Analysis · Mathematics 2019-08-27 Yu Zhang , Hai Bi , Yidu Yang

In this paper we prove the existence of an optimal domain which minimizes the buckling load of a clamped plate among all bounded domains with given measure. Instead of treating this variational problem with a volume constraint, we introduce…

Optimization and Control · Mathematics 2021-10-07 Kathrin Stollenwerk

In this note, we investigate the Steklov spectrum of the warped product $[0,L]\times_h \Sigma$ equipped with the metric $dt^2+h(t)^2g_\Sigma$, where $\Sigma$ is a compact surface. We find sharp upper bounds for the Steklov eigenvalues in…

Spectral Theory · Mathematics 2024-07-04 Jade Brisson , Bruno Colbois

In this paper we find an upper bound for the first Steklov eigenvalue for a surface of revolution with boundary consisting of two spheres of different radii. Moreover, we prove that in some cases this boundary is sharp.

Differential Geometry · Mathematics 2024-07-19 Denis Selutckii

We prove a sharp upper bound on convex domains, in terms of the diameter alone, of the best constant in a class of weighted Poincar\'e inequalities. The key point is the study of an optimal weighted Wirtinger inequality.

Optimization and Control · Mathematics 2012-11-07 Vincenzo Ferone , Carlo Nitsch , Cristina Trombetti

We give a counterexample to the long standing conjecture that the ball maximises the first eigenvalue of the Robin eigenvalue problem with negative parameter among domains of the same volume. Furthermore, we show that the conjecture holds…

Spectral Theory · Mathematics 2015-07-31 Pedro Freitas , David Krejcirik

This paper is motivated by the maximization of the $k$-th eigenvalue of the Laplace operator with Neumann boundary conditions among domains of ${\mathbb R}^N$ with prescribed measure. We relax the problem to the class of (possibly…

Analysis of PDEs · Mathematics 2023-03-22 Dorin Bucur , Eloi Martinet , Edouard Oudet

We consider three different questions related to the Steklov and mixed Steklov problems on surfaces. These questions are connected by the techniques that we use to study them, which exploit symmetry in various ways even though the surfaces…