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Aggregation equations and Patlak-Keller-Segel (PKS) models for chemotaxis with nonlinear diffusion are popular models for nonlocal aggregation phenomenon and are a source of a number of interesting mathematical problems in nonlinear PDE.…

Analysis of PDEs · Mathematics 2011-09-01 Jacob Bedrossian , Nancy Rodriguez

We study the existence and uniqueness of mild and strong solutions of nonlocal nonlinear diffusion problems of $p$-Laplacian type with nonlinear boundary conditions posed in metric random walk spaces. These spaces include, among others,…

Analysis of PDEs · Mathematics 2024-05-24 Marcos Solera , Julián Toledo

In this paper we study an aggregation equation with a general nonlocal flux. We study the local well-posedness and some conditions ensuring global existence. We are also interested in the differences arising when the nonlinearity in the…

Analysis of PDEs · Mathematics 2014-06-24 Rafael Granero-Belinchón , Rafael Orive Illera

We investigate the asymptotic speed of spread of the solutions of a non-autonomous Fisher-KPP equation with nonlocal diffusion, driven by a thin-tailed kernel. In this paper, we are concerned with both compactly supported and exponentially…

Analysis of PDEs · Mathematics 2023-08-04 Arnaud Ducrot , Zhucheng Jin

We prove short-time well-posedness and existence of global weak solutions of the Beris--Edwards model for nematic liquid crystals in the case of a bounded domain with inhomogeneous mixed Dirichlet and Neumann boundary conditions. The system…

Analysis of PDEs · Mathematics 2013-11-15 Helmut Abels , Georg Dolzmann , YuNing Liu

We consider macroscopic descriptions of particles where repulsion is modelled by non-linear power-law diffusion and attraction by a homogeneous singular/smooth kernel leading to variants of the Keller-Segel model of chemotaxis. We analyse…

Analysis of PDEs · Mathematics 2016-10-05 Vincent Calvez , Jose Antonio Carrillo , Franca Hoffmann

We consider the problem of establishing nonlinear smoothing as a general feature of nonlinear dispersive equations, i.e. the improved regularity of the integral term in Duhamel's formula, with respect to the initial data and the…

Analysis of PDEs · Mathematics 2023-02-08 Simão Correia , Filipe Oliveira , Jorge Drumond Silva

We establish H\"older regularity for the weak solution to a degenerate diffusion equation in the presence of a local (drift) potential and nonlocal (interaction) term, posed in a bounded domain with no-flux boundary conditions. The…

Analysis of PDEs · Mathematics 2025-10-07 Yousef Alamri

In this work we present the mathematical foundation of an assembly code for finite element approximations of nonlocal models with compactly supported, weakly singular kernels. We demonstrate the code on a nonlocal diffusion model in various…

Numerical Analysis · Mathematics 2022-07-11 Manuel Klar , Christian Vollmann , Volker Schulz

This paper solves partially a question suggested by Fontbona and M\'el\'eard in a paper published in 2015. The issue is to obtain rigorously cross-diffusion systems \`a la Shigesada-Kawasaki-Teramoto as the limit of relaxed systems in which…

Analysis of PDEs · Mathematics 2018-07-24 Ayman Moussa

This work addresses the regularity of solutions for a nonlocal diffusion equation over the space of periodic distributions. The spatial operator for the nonlocal diffusion equation is given by a nonlocal Laplace operator with a compactly…

Analysis of PDEs · Mathematics 2022-10-04 Ilyas Mustapha , Bacim Alali , Nathan Albin

In this paper, we numerically study a two-dimensional system modeling the dynamics of dislocation densities. This system is hyperbolic, but not strictly hyperbolic, and couples two non-local transport equations. It is characterized by weak…

Numerical Analysis · Mathematics 2026-02-12 Diana Al Zareef , Ahmad El Hajj , Antoine Zurek

In this study, a spatially distributed reaction-diffusion-advection (RDA) model with harvesting is investigated to signify the outcome of a competition between two competing species in a heterogeneous environment. The study builds upon the…

General Mathematics · Mathematics 2024-12-03 Md. Kamrujjaman , Mayesha Sharmim Tisha

This paper is concerned with a strongly degenerate convection-diffusion equation in one space dimension whose convective flux involves a non-linear function of the total mass to one side of the given position. This equation can be…

Numerical Analysis · Mathematics 2010-07-12 Fernando Betancourt , Raimund Bürger , Kenneth H. Karlsen

We consider the Navier-Stokes-Fourier system with general inhomogeneous Dirichlet-Neumann boundary conditions. We propose a new approach to the local well-posedness problem based on conditional regularity estimates. By conditional…

Analysis of PDEs · Mathematics 2024-09-23 Anna Abbatiello , Danica Basaric , Nilasis Chaudhuri , Eduard Feireisl

We study the regularity of weak solutions to nonlocal in time subdiffusion equations for a wide class of weakly singular kernels appearing in the generalised fractional derivative operator. We prove a weak Harnack inequality for nonnegative…

Analysis of PDEs · Mathematics 2024-09-10 Adam Kubica , Katarzyna Ryszewska , Rico Zacher

In this paper, we study the relationship between a diffusive model and a non-diffusive model which are both derived from the well-known Keller-Segel model, as a coefficient of diffusion $\varepsilon$ goes to zero. First, we establish the…

Analysis of PDEs · Mathematics 2015-06-11 Hongyun Peng , Huanyao Wen , Changjiang Zhu

In this paper, we investigate a Fisher-KPP nonlocal diffusion model incorporating the effect of advection and free boundaries, aiming to explore the propagation dynamics of the nonlocal diffusion-advection model. Considering the effects of…

Analysis of PDEs · Mathematics 2023-09-13 Chengcheng Cheng

Recently, hypergraphs have attracted a lot of attention due to their ability to capture complex relations among entities. The insurgence of hypergraphs has resulted in data of increasing size and complexity that exhibit interesting…

Machine Learning · Computer Science 2021-06-11 Kimon Fountoulakis , Pan Li , Shenghao Yang

Kernel $k$-means clustering is a powerful tool for unsupervised learning of non-linearly separable data. Since the earliest attempts, researchers have noted that such algorithms often become trapped by local minima arising from…

Machine Learning · Statistics 2020-11-13 Debolina Paul , Saptarshi Chakraborty , Swagatam Das , Jason Xu