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We consider the weighted eigenvalue problem for a general non-local pseudo-differential operator, depending on a bounded weight function. For such problem, we prove that strict (decreasing) monotonicity of the eigenvalues with respect to…

Analysis of PDEs · Mathematics 2018-08-30 Silvia Frassu , Antonio Iannizzotto

In this paper we consider a class of boundary value problems for third order nonlinear functional differential equation. By the reduction of the problem to operator equation we establish the existence and uniqueness of solution and…

Numerical Analysis · Mathematics 2021-01-26 Dang Quang A , Dang Quang Long

In this paper, using the linearization technique we write the Helmholtz transmission eigenvalue problem as an equivalent nonselfadjoint linear eigenvalue problem whose left-hand side term is a selfadjoint, continuous and coercive…

Numerical Analysis · Mathematics 2016-03-03 Yidu Yang , Jiayu Han , Hai Bi

It is shown that the non-homogeneous Dirichlet and Neuman problems for the $2^{nd}$-order Seiberg-Witten equation admit a regular solution once the $\mathcal{H}$-condition (described in the article) is satisfied. The approach consist in…

Analysis of PDEs · Mathematics 2007-05-23 C M Doria

Our main purpose in this paper is to investigate a supercritical Sobolev-type inequality for the $k$-Hessian operator acting on $\Phi^{k}_{0,\mathrm{rad}}(B)$, the space of radially symmetric $k$-admissible functions on the unit ball…

Analysis of PDEs · Mathematics 2024-04-01 José Francisco de Oliveira , Pedro Ubilla

In this paper, we rewrite the Stokes eigenvalue problem as an Elliptic eigenvalue problem restricted to subspace, and introduce an abstract framework of solving abstract elliptic eigenvalue problem to give the WG scheme, error estimates and…

Numerical Analysis · Mathematics 2023-07-19 Yunying Fan , Qilong Zhai

In this article, we propose two kinds of neural networks inspired by power method and inverse power method to solve linear eigenvalue problems. These neural networks share similar ideas with traditional methods, in which the differential…

Numerical Analysis · Mathematics 2023-07-18 Qihong Yang , Yangtao Deng , Yu Yang , Qiaolin He , Shiquan Zhang

In a multidimensional infinite layer bounded by two hyperplanes, the Poisson equation with the polynomial right-hand side is considered. It is shown that the Dirichlet boundary value problem and the mixed Dirichlet-Neumann boundary value…

Mathematical Physics · Physics 2017-10-17 Oleg D. Algazin

The aim of this article is to analyze numerical schemes using two-layer neural networks withinfinite width for the resolution of high-dimensional Schr{\"o}dinger eigenvalue problems with smoothinteraction potentials and Neumann boundary…

Analysis of PDEs · Mathematics 2024-09-04 Mathias Dus , Ehrlacher Virginie

In this paper, we initially derive the equivalent fractional integral equation to $\Psi$-Hilfer hybrid fractional differential equations and through it, we prove the existence of a solution in the weighted space. The primary objective of…

Dynamical Systems · Mathematics 2021-09-15 Kishor D. Kucche , Ashwini D. Mali

In this paper we analyze a conforming virtual element method to approximate the eigenfunctions and eigenvalues of the two dimensional Oseen eigenvalue problem. We consider the classic velocity-pressure formulation which allows us to…

Numerical Analysis · Mathematics 2024-05-24 Danilo Amigo , Felipe Lepe , Nitesh Verma

We study the variational structure of the complex $k$-Hessian equation on bounded domain $X\subset \mathbb C^n$ with boundary $M=\partial X$. We prove that the Dirichlet problem $\sigma_k (\partial \bar{\partial} u) =0$ in $X$, and $u=f$ on…

Analysis of PDEs · Mathematics 2020-08-28 Yi Wang , Hang Xu

We develop an accelerated gradient descent algorithm on the Grassmann manifold to compute the subspace spanned by a number of leading eigenvectors of a symmetric positive semi-definite matrix. This has a constant cost per iteration and a…

Optimization and Control · Mathematics 2024-06-27 Foivos Alimisis , Simon Vary , Bart Vandereycken

In this paper we give an estimate on the asymptotic behavior of eigenvalues of discretized elliptic boundary values problems. We first prove a simple min-max principle for selfadjoint operators on a Hilbert space. Then we show two sided…

Numerical Analysis · Mathematics 2019-11-01 Jinchao Xu , Hongxuan Zhang , Ludmil Zikatanov

In this work, we prove the existence of local convex solution to the degenerate Hessian equation

Analysis of PDEs · Mathematics 2017-09-14 Guji Tian , Chao-Jiang Xu

In this paper, we concern with the existence of solutions of the weighted complex $m$-Hessian equation $-\chi(u)H_{m}(u)=\mu$ in the class $\mathcal{E}_{m,\chi}(f,\Omega)$ if there exists subsolution in this class, where the given boundary…

Analysis of PDEs · Mathematics 2025-08-19 Nguyen Van Phu

We consider the thin-film equation with linear mobility and a stabilizing second-order porous-medium type term modeling gravity. The model admits self-similar solutions, and our goal is to analyze their stability. We reformulate the problem…

Analysis of PDEs · Mathematics 2026-02-19 Manuel V. Gnann , Slim Ibrahim

To provide mathematically rigorous eigenvalue bounds for the Steklov eigenvalue problem, an enhanced version of the eigenvalue estimation algorithm developed by the third author is proposed, which removes the requirements of the positive…

Numerical Analysis · Mathematics 2018-08-27 Chun'guang You , Hehu Xie , Xuefeng Liu

We describe a general method to obtain weak subconvexity bounds for many classes of $L$-functions. This has applications to a conjecture of Rudnick and Sarnak for the mass equidistribution of Hecke eigenforms (see arxiv.org:math/0809.1636).

Number Theory · Mathematics 2008-09-10 K. Soundararajan

In a series of publications of the second author, including some with coauthors, globally strictly convex Tikhonov-like functionals were constructed for some nonlinear ill-posed problems. The main element of such a functional is the…

Analysis of PDEs · Mathematics 2016-08-10 Anatoly B. Bakushinskii , Michael V. Klibanov , Nikolaj A. Koshev
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