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We propose a new asymptotic expansion for the fractional $p$-Laplacian with precise computations of the errors. Our approximation is shown to hold in the whole range $p\in(1,\infty)$ and $s\in(0,1)$, with errors that do not degenerate as…

Analysis of PDEs · Mathematics 2023-03-09 Félix del Teso , María Medina , Pablo Ochoa

Statistical applications often involve the calculation of intractable multidimensional integrals. The Laplace formula is widely used to approximate such integrals. However, in high-dimensional or small sample size problems, the shape of the…

Computation · Statistics 2016-12-30 Erlis Ruli , Nicola Sartori , Laura Ventura

We calculate the fractional Laplacian for functions of the form $u(x)=(1-|x|^2)_+^p$ and $v(x)=x_d u(x)$. As an application, we estimate the first eigenvalues of the fractional Laplacian in a ball.

Analysis of PDEs · Mathematics 2011-10-27 Bartłomiej Dyda

We apply pseudo-spectral methods to integrate functional flow equations with high accuracy, extending earlier work on functional fixed point equations \cite{Borchardt:2015rxa}. The advantages of our method are illustrated with the help of…

High Energy Physics - Theory · Physics 2016-07-27 Julia Borchardt , Benjamin Knorr

In this paper we propose and analyze an energy stable numerical scheme for the square phase field crystal (SPFC) equation, a gradient flow modeling crystal dynamics at the atomic scale in space but on diffusive scales in time. In…

Numerical Analysis · Mathematics 2019-10-02 Kelong Cheng , Cheng Wang , Steven M. Wise

This paper introduces a new accurate model for periodic fractional optimal control problems (PFOCPs) using Riemann-Liouville (RL) and Caputo fractional derivatives (FDs) with sliding fixed memory lengths. The paper also provides a novel…

Optimization and Control · Mathematics 2023-09-26 Kareem T. Elgindy

We consider the divergent fractional Laplace operator presented in [Dipierro-Savin-Valdinoci, Rev. Mat. Iberoam.] and we prove three types of results. Firstly, we show that any given function can be locally shadowed by a solution of a…

Analysis of PDEs · Mathematics 2021-02-04 Serena Dipierro , Ovidiu Savin , Enrico Valdinoci

We develop a novel a posteriori error estimator for the $L^2$ error committed by the finite element discretization of the solution of the fractional Laplacian. Our a posteriori error estimator takes advantage of the semi-discretization…

Numerical Analysis · Mathematics 2023-03-14 Raphaël Bulle , Olga Barrera , Stéphane P. A. Bordas , Franz Chouly , Jack S. Hale

In this paper, we propose a novel method to approximate the mean field stochastic differential equation by means of approximating the density function via Fokker-Planck equation. We construct a well-posed truncated Fokker-Planck equation…

Numerical Analysis · Mathematics 2025-03-25 Jinhui Zhou , Yongkui Zou , Shimin Chai , Boyu Wang , Ziyi Tan

The spectral properties of the restricted fractional Dirichlet Laplacian in ${\sf V}$-shaped waveguides are studied. The continuous spectrum for such domains with cylindrical outlets is known to occupy the ray $[\Lambda_\dagger, +\infty)$…

Spectral Theory · Mathematics 2024-05-28 Fedor Bakharev , Sergey Matveenko

We review some recent results on minimisers of a non-local perimeter functional, in connection with some phase coexistence models whose diffusion term is given by the fractional Laplacian.

Analysis of PDEs · Mathematics 2012-10-23 Enrico Valdinoci

The study of fractional order differential operators is receiving renewed attention in many scientific fields. In order to accommodate researchers doing work in these areas, there is a need for highly scalable numerical methods for solving…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-28 Max Carlson , Robert M. Kirby , Hari Sundar

In this paper, we provide a framework of designing the local discontinuous Galerkin scheme for integral fractional Laplacian $(-\Delta)^{s}$ with $s\in(0,1)$ in two dimensions. We theoretically prove and numerically verify the numerical…

Numerical Analysis · Mathematics 2021-01-22 Daxin Nie , Weihua Deng

In this paper, we propose a novel overlapping domain decomposition method that can be applied to various problems in variational imaging such as total variation minimization. Most of recent domain decomposition methods for total variation…

Numerical Analysis · Mathematics 2020-06-23 Jongho Park

We propose a Deep-Picard iteration framework for high-dimensional nonlinear space-time fractional diffusion equations.The method is based on a nonlinear fractional Feynman--Kac fixed-point formulation, which replaces direct discretization…

Numerical Analysis · Mathematics 2026-05-04 Zhijun Zeng , Zhitong Chen , Ling Qin , Yi Zhu

We introduce a novel monotone discretization method for addressing obstacle problems involving the integral fractional Laplacian with homogeneous Dirichlet boundary conditions over bounded Lipschitz domains. This problem is prevalent in…

Numerical Analysis · Mathematics 2023-08-15 Rubing Han , Shuonan Wu , Hao Zhou

The use of fractional differential equations is a key tool in modeling non-local phenomena. Often, an efficient scheme for solving a linear system involving the discretization of a fractional operator is evaluating the matrix function $x =…

Numerical Analysis · Mathematics 2022-08-11 Angelo A. Casulli , Leonardo Robol

This work is devoted to the study of the existence of solutions to nonlocal equations involving the fractional Laplacian. These equations have a variational structure and we find a nontrivial solution for them using the Mountain Pass…

Analysis of PDEs · Mathematics 2016-08-30 Giovanni Molica Bisci , Dušan Repovš

We present a new method for approximating real-valued functions on ${\mathbb R}^+$ by linear combinations of exponential functions with complex coefficients. The approach is based on a multi-point Pad\'e approximation of the Laplace…

Numerical Analysis · Mathematics 2026-05-05 Alexey Kuznetsov , Armin Mohammadioroojeh

In this paper, we propose a numerical algorithm based on a cell-centered finite volume method to compute a distance from given objects on a three-dimensional computational domain discretized by polyhedral cells. Inspired by the vanishing…

Numerical Analysis · Mathematics 2023-02-16 Jooyoung Hahn , Karol Mikula , Peter Frolkovič