What is the fractional Laplacian? A comparative review with new results
The fractional Laplacian in R d, which we write as (− Δ) α/2 with α∈(0, 2), has multiple
equivalent characterizations. Moreover, in bounded domains, boundary conditions must be …
equivalent characterizations. Moreover, in bounded domains, boundary conditions must be …
Numerical methods for nonlocal and fractional models
Partial differential equations (PDEs) are used with huge success to model phenomena
across all scientific and engineering disciplines. However, across an equally wide swath …
across all scientific and engineering disciplines. However, across an equally wide swath …
Gradient regularity in mixed local and nonlocal problems
Minimizers of functionals of the type w ↦ ∫ Ω [ | D w | p - f w ] d x + ∫ R n ∫ R n | w ( x ) - w (
y ) | γ | x - y | n + s γ d x d y \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} …
y ) | γ | x - y | n + s γ d x d y \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} …
The normal derivative lemma and surrounding issues
DE Apushkinskaya, AI Nazarov - Russian Mathematical Surveys, 2022 - iopscience.iop.org
The normal derivative lemma and surrounding issues - IOPscience This site uses cookies. By
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A direct method of moving planes for the fractional Laplacian
In this paper, we develop a direct method of moving planes for the fractional Laplacian.
Instead of using the conventional extension method introduced by Caffarelli and Silvestre …
Instead of using the conventional extension method introduced by Caffarelli and Silvestre …
A fractional Laplace equation: regularity of solutions and finite element approximations
This paper deals with the integral version of the Dirichlet homogeneous fractional Laplace
equation. For this problem weighted and fractional Sobolev a priori estimates are provided …
equation. For this problem weighted and fractional Sobolev a priori estimates are provided …
Error estimates of residual minimization using neural networks for linear PDEs
We propose an abstract framework for analyzing the convergence of least-squares methods
based on residual minimization when feasible solutions are neural networks. With the norm …
based on residual minimization when feasible solutions are neural networks. With the norm …
Nonlocal problems with Neumann boundary conditions
We introduce a new Neumann problem for the fractional Laplacian arising from a simple
probabilistic consideration, and we discuss the basic properties of this model. We can …
probabilistic consideration, and we discuss the basic properties of this model. We can …
Nonlocal elliptic equations in bounded domains: a survey
X Ros-Oton - Publicacions matematiques, 2016 - JSTOR
In this paper we survey some results on the Dirichlet problem \left{_u=g^Lu=f_inR^n\Ω^inΩ\
right. for nonlocal operators of the form Lu\left(x\right)=PVR^n\left{u\left(x\right) …
right. for nonlocal operators of the form Lu\left(x\right)=PVR^n\left{u\left(x\right) …
The Pohozaev identity for the fractional Laplacian
In this paper we prove the Pohozaev identity for the semilinear Dirichlet problem (-Δ)^ su= f
(u)(-Δ) su= f (u) in Ω, u\equiv0 Ω, u≡ 0 in\mathbb R^ n \ Ω R n\Ω. Here, s ∈ (0, 1) s∈(0, 1) …
(u)(-Δ) su= f (u) in Ω, u\equiv0 Ω, u≡ 0 in\mathbb R^ n \ Ω R n\Ω. Here, s ∈ (0, 1) s∈(0, 1) …