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Related papers: Symmetrization in nonlocal diffusion problems

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The aim of this paper is to give a stochastic representation for the solution to a natural extension of the Caputo-type evolution equation. The nonlocal-in-time operator is defined by a hypersingular integral with a (possibly…

Analysis of PDEs · Mathematics 2018-10-23 Qiang Du , Lorenzo Toniazzi , Zhi Zhou

We obtain a non-linear generalization of the relativistic diffusion of particles with spin. We discuss diffusion equations whose non-linearity is a consequence of quantum statistics. We show that the assumptions of the relativistic…

High Energy Physics - Theory · Physics 2011-06-20 Z. Haba

We provide symmetrization results in the form of mass concentration comparisons for fractional singular elliptic equations in bounded domains, coupled with homogeneous external Dirichlet conditions. Two types of comparison results are…

Analysis of PDEs · Mathematics 2022-11-16 Barbara Brandolini , Ida de Bonis , Vincenzo Ferone , Bruno Volzone

We establish symmetrization results for the solutions of the linear fractional diffusion equation $\partial_t u +(-\Delta)^{\sigma/2}u=f$ and itselliptic counterpart $h v +(-\Delta)^{\sigma/2}v=f$, $h>0$, using the concept of comparison of…

Analysis of PDEs · Mathematics 2013-03-13 Juan Luis Vázquez , Bruno Volzone

Electrostatic interactions in solvents play a major role in biophysical systems. There is a consensus in the literature that the dielectric response of aqueous solutions is nonlocal: polarization depends on the electric field not only at a…

Numerical Analysis · Mathematics 2021-02-16 Igor Tsukerman

In this paper we establish higher-order Sobolev and Rellich-type inequalities on non-compact Riemannian manifolds supporting an isoperimetric inequality. We highlight two notable settings: manifolds with non-negative Ricci curvature and…

Analysis of PDEs · Mathematics 2026-01-13 Csaba Farkas , Sándor Kajántó

We present a finite element implementation for the steady-state nonlocal Dirichlet problem with homogeneous volume constraints. Here, the nonlocal diffusion operator is defined as integral operator characterized by a certain kernel…

Analysis of PDEs · Mathematics 2019-09-20 Christian Vollmann , Volker Schulz

In this paper, we extend the idea of "geometric reconstruction" to couple a nonlocal diffusion model directly with the classical local diffusion in one dimensional space. This new coupling framework removes interfacial inconsistency,…

Numerical Analysis · Mathematics 2017-12-05 Qiang Du , Xingjie Helen Li , Jianfeng Lu , Xiaochuan Tian

This work is concerned with the derivation of a robust a posteriori error estimator for a discontinuous Galerkin method discretisation of linear non-stationary convection-diffusion initial/boundary value problems and with the implementation…

Numerical Analysis · Mathematics 2012-11-16 Andrea Cangiani , Emmanuil H. Georgoulis , Stephen Metcalfe

We consider an evolution model with nonlinear diffusion of porous medium type in competition with a nonlocal drift term favoring mass aggregation. The distinguishing trait of the model is the choice of a nonlinear $(s,p)$ Riesz potential…

Analysis of PDEs · Mathematics 2025-08-29 Francesco Bozzola , Edoardo Mainini

Here, I present a novel method for normalizing a finite set of numbers, which is studied by the domain of biological vision. Normalizing in this context means searching the maximum and minimum number in a set and then rescaling all numbers…

Adaptation and Self-Organizing Systems · Physics 2007-09-19 Matthias S. Keil

The nonlocal diffusion equation with continuous kernel $K(x,y$, with $ \int_{R} K(y,x) \, d \, y = 1$ has been proposed as a model for some evolution process with diffusion, including population models. However, in general, we don't have $…

Classical Analysis and ODEs · Mathematics 2025-09-22 Antonio Luiz Pereira

Models of reaction diffusion processes usually employ discrete lattice models with particles interacting at the same site, resulting in localized reactions in the continuum limit. Here, various non-local interactions are considered, and two…

Mathematical Physics · Physics 2026-03-30 Chris D Greenman

This paper develops a new method for analyzing nonlinear diffusion equations of porous--medium type with time-dependent growth rates, based on the \emph{localization of solutions} through an associated Bernoulli-type ordinary differential…

Analysis of PDEs · Mathematics 2026-03-17 Dragos-Patru Covei

The latent space of diffusion model mostly still remains unexplored, despite its great success and potential in the field of generative modeling. In fact, the latent space of existing diffusion models are entangled, with a distorted mapping…

Machine Learning · Computer Science 2024-07-17 Jaehoon Hahm , Junho Lee , Sunghyun Kim , Joonseok Lee

We establish sharp pointwise kernel estimates and dispersive properties for the wave equation on noncompact symmetric spaces of general rank. This is achieved by combining the stationary phase method and the Hadamard parametrix, and in…

Analysis of PDEs · Mathematics 2024-10-24 Jean-Philippe Anker , Hong-Wei Zhang

We propose a Bayesian test of normality for univariate or multivariate data against alternative nonparametric models characterized by Dirichlet process mixture distributions. The alternative models are based on the principles of embedding…

Statistics Theory · Mathematics 2023-04-12 Surya T. Tokdar , Ryan Martin

In this paper we study a nonlocal diffusion problem on a manifold. These kind of equations can model diffusions when there are long range effects and have been widely studied in Euclidean space. We first prove existence and uniqueness of…

Analysis of PDEs · Mathematics 2015-11-02 Catherine Bandle , Maria del Mar Gonzalez , Marco A. Fontelos , Noemi Wolanski

In this review article we present regularity properties of generalized functions which are useful in the analysis of non-linear problems. It is shown that Schwartz distributions embedded into our new spaces of generalized functions, with…

Functional Analysis · Mathematics 2014-07-25 Stevan Pilipovic , Dimitris Scarpalezos , Jasson Vindas

An Euler discretization of the Langevin diffusion is known to converge to the global minimizers of certain convex and non-convex optimization problems. We show that this property holds for any suitably smooth diffusion and that different…

Machine Learning · Statistics 2019-12-30 Murat A. Erdogdu , Lester Mackey , Ohad Shamir