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We investigate in this paper the existence of a metric which maximizes the first eigenvalue of the Laplacian on Riemannian surfaces. We first prove that, in a given conformal class, there always exists such a maximizing metric which is…

Analysis of PDEs · Mathematics 2013-10-18 Romain Petrides

Building on seminal work of Nadirashvili and previous work of the authors, we prove the existence of metrics maximizing the area-normalized first eigenvalue of the Laplacian on every closed nonorientable surface, and give a simple new proof…

Differential Geometry · Mathematics 2025-05-09 Mikhail Karpukhin , Romain Petrides , Daniel Stern

In recent years, eigenvalue optimization problems have received a lot of attention, in particular, due to their connection with the theory of minimal surfaces. In the present paper we prove that on any orientable surface there exists a…

Differential Geometry · Mathematics 2018-01-23 Mikhail Karpukhin

Given a conformal action of a discrete group on a Riemann surface, we study the maximization of Laplace and Steklov eigenvalues within a conformal class, considering metrics invariant under the group action. We establish natural conditions…

Spectral Theory · Mathematics 2026-01-27 Denis Vinokurov

We introduce and study Laplacians on a finite metric graph endowed with generalized densities, that is, measures of finite mass. One important motivation is that this setting provides a common framework for several interesting classes of…

Spectral Theory · Mathematics 2025-12-24 Kiyan Naderi , Noema Nicolussi

The paper is concerned with the maximization of Laplace eigenvalues on surfaces of given volume with a Riemannian metric in a fixed conformal class. A significant progress on this problem has been recently achieved by Nadirashvili-Sire and…

Differential Geometry · Mathematics 2020-05-19 Mikhail Karpukhin , Nikolai Nadirashvili , Alexei V. Penskoi , Iosif Polterovich

In the present paper, we study sharp isoperimetric inequalities for the first Steklov eigenvalue $\sigma_1$ on surfaces with fixed genus and large number $k$ of boundary components. We show that as $k\to \infty$ the free boundary minimal…

Differential Geometry · Mathematics 2021-09-24 Mikhail Karpukhin , Daniel Stern

A theorem of J. Hersch (1970) states that for any smooth metric on $S^2$, with total area equal to $4\pi$, the first nonzero eigenvalue of the Laplace operator acting on functions is less than or equal to 2 (this being the value for the…

Spectral Theory · Mathematics 2007-05-23 Miguel Abreu , Pedro Freitas

This paper is devoted to the study of the conformal spectrum (and more precisely the first eigenvalue) of the Laplace-Beltrami operator on a smooth connected compact Riemannian surface without boundary, endowed with a conformal class. We…

Differential Geometry · Mathematics 2014-07-29 Nikolai Nadirashvili , Yannick Sire

We study the existence and properties of metrics maximising the first Laplace eigenvalue among conformal metrics of unit volume on Riemannian surfaces. We describe a general approach to this problem and its higher eigenvalue versions via…

Spectral Theory · Mathematics 2014-03-13 Gerasim Kokarev

This paper deals with the numerical optimization of the first three eigenvalues of the Laplace-Beltrami operator of domain in the Euclidean sphere in $\mathbb{R}^3$ with Neumann boundary conditions. We address two approaches : the first one…

Analysis of PDEs · Mathematics 2023-03-23 Eloi Martinet

We prove the existence of metrics maximizing the first eigenvalue normalized by area on closed, non-orientable surfaces assuming two spectral gap conditions. These spectral gap conditions are proved by the authors in \cite{MS3}.

Differential Geometry · Mathematics 2019-09-09 Henrik Matthiesen , Anna Siffert

We prove the existence of nonconstant harmonic maps of optimal regularity from an arbitrary closed manifold $(M^n,g)$ of dimension $n>2$ to any closed, non-aspherical manifold $N$ containing no stable minimal two-spheres. In particular,…

Differential Geometry · Mathematics 2022-07-28 Mikhail Karpukhin , Daniel Stern

We show that for any positive integer k, the k-th nonzero eigenvalue of the Laplace-Beltrami operator on the two-dimensional sphere endowed with a Riemannian metric of unit area, is maximized in the limit by a sequence of metrics converging…

Differential Geometry · Mathematics 2019-03-01 Mikhail Karpukhin , Nikolai Nadirashvili , Alexei V. Penskoi , Iosif Polterovich

We associate a sequence of variational eigenvalues to any Radon measure on a compact Riemannian manifold. For particular choices of measures, we recover the Laplace, Steklov and other classical eigenvalue problems. In the first part of the…

Spectral Theory · Mathematics 2020-12-08 Alexandre Girouard , Mikhail Karpukhin , Jean Lagacé

It was proved by Montiel and Ros that for each conformal structure on a compact surface there is at most one metric which admits a minimal immersion into some unit sphere by first eigenfunctions. We generalize this theorem to the setting of…

Spectral Theory · Mathematics 2018-09-24 Donato Cianci , Mikhail Karpukhin , Vladimir Medvedev

We give a sufficient condition for branched minimal immersions of spheres into ellipsoids to be embedded: we show that if the coordinate functions of the branched minimal immersion are first or second eigenfunctions with respect to a…

Differential Geometry · Mathematics 2023-04-25 Romain Petrides

In 1970, Lawson solved the topological realization problem for minimal surfaces in the sphere, showing that any closed orientable surface can be minimally embedded in $\mathbb{S}^3$. The analogous problem for surfaces with boundary was…

Differential Geometry · Mathematics 2024-02-21 Mikhail Karpukhin , Robert Kusner , Peter McGrath , Daniel Stern

The Laplace eigenvalue problem on circular sectors has eigenfunctions with corner singularities. Standard methods may produce suboptimal approximation results. To address this issue, a novel numerical algorithm that enhances standard…

Numerical Analysis · Mathematics 2025-05-16 Thomas Apel , Philipp Zilk

Eigenmaps are important in analysis, geometry, and machine learning, especially in nonlinear dimension reduction. Approximation of the eigenmaps of a Laplace operator depends crucially on the scaling parameter $\epsilon$. If $\epsilon$ is…

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