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We present the stochastic solution to a generalized fractional partial differential equation involving a regularized operator related to the so-called Prabhakar operator and admitting, amongst others, as specific cases the fractional…

Probability · Mathematics 2017-11-13 Mirko D'Ovidio , Federico Polito

We show that the fractional Laplacian can be viewed as a Dirichlet-to-Neumann map for a degenerate hyperbolic problem, namely, the wave equation with an additional diffusion term that blows up at time zero. A solution to this wave extension…

Analysis of PDEs · Mathematics 2015-04-24 Mikko Kemppainen , Peter Sjögren , José Luis Torrea

We consider computing eigenspaces of an elliptic self-adjoint operator depending on a countable number of parameters in an affine fashion. The eigenspaces of interest are assumed to be isolated in the sense that the corresponding…

Numerical Analysis · Mathematics 2021-03-16 Luka Grubišić , Harri Hakula , Mikael Laaksonen

We study the operator $L=-\Delta+q$ on a bounded domain $\Omega\subset\mathbb R^n$, where $q(x)$ is a distributional potential. We find sufficient conditions for $q(x)$ which guarantee that $L$ is well--defined with Dirichlet and…

Functional Analysis · Mathematics 2009-09-29 M. I. Neiman-zade , A. A. Shkalikov

We study semilinear non-local elliptic problems driven by spectral-type operators of the form $\psi(-L_{|D})$ in a bounded $C^{1,1}$ domain $D\subset \mathbb{R}^d$ with a nonhomogeneous boundary condition. Here $\psi$ is a Bernstein…

Analysis of PDEs · Mathematics 2026-01-30 Ivan Biočić , Vanja Wagner

The purpose of this article is to derive the crossover from the Ornstein-Uhlenbeck process to energy solutions of the stochastic Burgers equation with characteristic operators given in terms of fractional operators, such as the regional…

Probability · Mathematics 2024-12-16 Pedro Cardoso , Patrícia Gonçalves

In this note we set up the elliptic and the parabolic Dirichlet problem for linear nonlocal operators. As opposed to the classical case of second order differential operators, here the "boundary data" are prescribed on the complement of a…

Analysis of PDEs · Mathematics 2013-11-13 Matthieu Felsinger , Moritz Kassmann , Paul Voigt

We analyze a reaction coefficient identification problem for the spectral fractional powers of a symmetric, coercive, linear, elliptic, second-order operator in a bounded domain $\Omega$. We realize fractional diffusion as the…

Numerical Analysis · Mathematics 2019-05-01 Enrique Otarola , Tran Nhan Tam Quyen

We define an operator which extends classical differentiation from smooth deterministic functions to certain stochastic processes. Based on this operator, we define a procedure which associates a stochastic analog to standard differential…

Probability · Mathematics 2016-08-16 Jacky Cresson , Sébastien Darses

The Laplace operator admits infinite self-adjoint extensions when considered on a segment of the real line. They have different domains of essential self-adjointness characterized by a suitable set of boundary conditions on the wave…

High Energy Physics - Lattice · Physics 2015-06-25 G. Bimonte , E . Ercolessi , P. Teotonio-Sobrinho

The aim of this paper is to suggest a new viewpoint to study qualitative properties of solutions of semilinear elliptic PDE's defined outside a compact set. The relevant tools come from spectral theory and from a combination of stochastic…

Differential Geometry · Mathematics 2012-08-07 G. Pacelli Bessa , Stefano Pigola , Alberto G. Setti

Neural operators provide a framework for learning solution operators of partial differential equations (PDEs), enabling efficient surrogate modeling for complex systems. While universal approximation results are now well understood,…

Machine Learning · Computer Science 2026-05-13 Takashi Furuya , Ryo Ozawa , Jenn-Nan Wang

The Heston stochastic volatility process, which is widely used as an asset price model in mathematical finance, is a paradigm for a degenerate diffusion process where the degeneracy in the diffusion coefficient is proportional to the square…

Analysis of PDEs · Mathematics 2011-09-07 Panagiota Daskalopoulos , Paul M. N. Feehan

The spectrum of a selfadjoint second order elliptic differential operator in $L^2(\mathbb{R}^n)$ is described in terms of the limiting behavior of Dirichlet-to-Neumann maps, which arise in a multi-dimensional Glazman decomposition and…

Spectral Theory · Mathematics 2016-01-27 Jussi Behrndt , Jonathan Rohleder

Parabolic partial differential equations (PDEs) are in ubiquitous, very effective use to model diffusion processes. However, there are many applications (e.g., such as in hydrology, animal foraging, biology, and light diffusion just do name…

Numerical Analysis · Mathematics 2025-09-23 Shiping Zhou , Yanzhi Zhang , Max Gunzburger

The article is devoted to the solvability of a system of integro-differential equations in the case of the difference of the standard Laplacian and the bi-Laplacian in the diffusion terms. The proof of the existence of solutions is based on…

Analysis of PDEs · Mathematics 2026-04-28 Vitali Vougalter , Vitaly Volpert

The fractional laplacian is an operator appearing in several evolution models where diffusion coming from a L\'evy process is present but also in the analysis of fluid interphases. We provide an extension of a pointwise inequality that…

Analysis of PDEs · Mathematics 2015-02-06 Antonio Cordoba , Angel D. Martinez

We present a detailed study of the scattering system given by the Neumann Laplacian on the discrete half-space perturbed by a periodic potential at the boundary. We derive asymptotic resolvent expansions at thresholds and eigenvalues, we…

Mathematical Physics · Physics 2020-09-07 Song Ha Nguyen , Serge Richard , Rafael Tiedra de Aldecoa

We consider the fractional elliptic problem with Dirichlet boundary conditions on a bounded and convex domain $D$ of $\mathbb{R}^d$, with $d \geq 2$. In this paper, we perform a stochastic gradient descent algorithm that approximates the…

Analysis of PDEs · Mathematics 2023-09-01 Nicolás Valenzuela

Recent work of the authors and their collaborators has uncovered fundamental connections between the Dirichlet-to-Neumann map, the spectral flow of a certain family of self-adjoint operators, and the nodal deficiency of a Laplacian…

Spectral Theory · Mathematics 2023-03-07 Gregory Berkolaiko , Graham Cox , Bernard Helffer , Mikael Persson Sundqvist
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