English
Related papers

Related papers: Generalised Solutions for Fully Nonlinear PDE Syst…

200 papers

We consider Dirichlet problems for linear elliptic equations of second order in divergence form on a bounded or exterior smooth domain $\Omega$ in $\mathbb{R}^n$, $n \ge 3$, with drifts $\mathbf{b}$ in the critical weak $L^n$-space…

Analysis of PDEs · Mathematics 2018-11-09 Hyunseok Kim , Tai-Peng Tsai

We establish a general theorem improving regularity of solutions of elliptic pseudodifferential equations. It allows to resolve in a unified way the regularity issue for a broad class of nonlinear elliptic equations and systems appearing in…

Analysis of PDEs · Mathematics 2007-05-23 Denis A. Labutin

The essentials of a new method in solving very large classes of nonlinear systems of PDEs, possibly associated with initial and/or boundary value problems, are presented. The PDEs can be defined by continuous, not necessarily smooth…

General Mathematics · Mathematics 2007-05-23 Elemer E Rosinger

Whether integrable, partially integrable or nonintegrable, nonlinear partial differential equations (PDEs) can be handled from scratch with essentially the same toolbox, when one looks for analytic solutions in closed form. The basic tool…

Exactly Solvable and Integrable Systems · Physics 2017-10-16 Robert Conte

A general formalism to solve nonlinear differential equations is given. Solutions are found and reduced to those of second order nonlinear differential equations in one variable. The approach is uniformized in the geometry and solves…

General Physics · Physics 2007-05-23 Gordon Chalmers

We study a class of second-order boundary-degenerate elliptic equations in two dimensions with minimal regularity assumptions. We prove a maximum principle and a Harnack inequality at the degenerate boundary, and assuming local boundedness,…

Analysis of PDEs · Mathematics 2019-12-17 Brian Weber

We propose a probabilistic definition of solutions of semilinear elliptic equations with (possibly nonlocal) operators associated with regular Dirichlet forms and with measure data. Using the theory of backward stochastic differential…

Analysis of PDEs · Mathematics 2013-06-25 Tomasz Klimsiak , Andrzej Rozkosz

Lie systems form a class of systems of first-order ordinary differential equations whose general solutions can be described in terms of certain finite families of particular solutions and a set of constants, by means of a particular type of…

Mathematical Physics · Physics 2013-03-13 J. F. Cariñena , J. de Lucas

We describe a map-based model which reproduces many of the behaviors seen in partial differential equations (PDE's). Like PDE's, we show that this model can support an infinite number of stationary solutions, traveling solutions, breathing…

solv-int · Physics 2015-06-26 Troy Shinbrot , J. M. Ottino

Partial differential equations (PDEs) describing thermodynamically isolated systems typically possess conserved quantities (like mass, momentum, and energy) and dissipated quantities (like entropy). Preserving these conservation and…

Numerical Analysis · Mathematics 2025-12-01 Boris D. Andrews , Patrick E. Farrell

In this paper we show how a second order scalar uniformly elliptic equation on divergence form with measurable coefficients and Dirichlet boundary conditions can be transformed into a first order elliptic system with half-Dirichlet boundary…

Analysis of PDEs · Mathematics 2021-04-27 Erik Duse

We present an application of error theory using Dirichlet Forms in linear partial differential equations (LPDE). We study the transmission of an uncertainty on the terminal condition to the solution of the LPDE thanks to the decomposition…

Analysis of PDEs · Mathematics 2007-09-18 Simone Scotti

In this paper, we use a probabilistic approach to show that there exists a unique, bounded continuous solution to the Dirichlet boundary value problem for a general class of second order non-symmetric elliptic operators $L$ with singular…

Analysis of PDEs · Mathematics 2015-04-17 Chuan-Zhong Chen , Wei Sun , Jing Zhang

This paper addresses the problem of uniqueness in learning physical laws for systems of partial differential equations (PDEs). Contrary to most existing approaches, it considers a framework of structured model learning, where existing,…

Optimization and Control · Mathematics 2026-02-17 Martin Holler , Erion Morina

In this paper we investigate regularity properties of weak solutions to a PDE system that arises in the study of biological transport networks. The system consists of a possibly singular elliptic equation for the scalar pressure of the…

Analysis of PDEs · Mathematics 2018-01-03 Jian-Guo Liu , Xiangsheng Xu

We develop a higher regularity theory for general quasilinear elliptic equations and systems in divergence form with random coefficients. The main result is a large-scale $L^\infty$-type estimate for the gradient of a solution. The estimate…

Analysis of PDEs · Mathematics 2016-01-27 Scott N. Armstrong , Jean-Christophe Mourrat

In a previous paper we considered a class of infinitely degenerate quasilinear equations and derived a priori bounds for high order derivatives of solutions in terms of the Lipschitz norm. We now show that it is possible to obtain bounds…

Analysis of PDEs · Mathematics 2011-03-17 Cristian Rios , Eric Sawyer , Richard Wheeden

The purpose of this paper is to establish Picard-Lindel\"{o}f theorem for local uniqueness and existence results for first-order systems of nonlinear delay dynamic equations. In the linear case, we extend our results to global existence and…

Classical Analysis and ODEs · Mathematics 2011-03-01 Basak Karpuz

We prove the well-posedness results, i.e. existence, uniqueness, and stability, of the solutions to a class of nonlocal fully nonlinear parabolic partial differential equations (PDEs), where there is an external time parameter $t$ on top of…

Analysis of PDEs · Mathematics 2021-10-11 Qian Lei , Chi Seng Pun

The generalization of neural networks is a central challenge in machine learning, especially concerning the performance under distributions that differ from training ones. Current methods, mainly based on the data-driven paradigm such as…

Machine Learning · Computer Science 2023-12-18 Yige Yuan , Bingbing Xu , Bo Lin , Liang Hou , Fei Sun , Huawei Shen , Xueqi Cheng