An adaptive non-uniform L2 discretization for the one-dimensional space-fractional Gray-Scott system

被引:3
作者
Yuan, P. [1 ]
Zegeling, P. A. [1 ]
机构
[1] Univ Utrecht, Budapestlaan 6, NL-3584 CD Utrecht, Netherlands
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2024年 / 138卷
关键词
Fractional Laplacian; L2; method; Moving mesh method; Gray-Scott model; PARTIAL-DIFFERENTIAL-EQUATIONS; NUMERICAL-METHODS; PATTERNS;
D O I
10.1016/j.cnsns.2024.108231
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper introduces a new numerical method for solving space-fractional partial differential equations (PDEs) on non-uniform adaptive finite difference meshes, considering a fractional order alpha is an element of (1,2) , 2) in one dimension. The fractional Laplacian in PDE is computed by using Riemann-Liouville (R-L) derivatives, incorporating a boundary condition of the form u = 0 in R\Omega. The proposed approach extends the L2 method to non-uniform meshes for calculating the R-L derivatives. The spatial mesh generation employs adaptive moving finite differences, offering adaptability at each time step through grid reallocation based on previously calculated solutions. The chosen mesh movement technique, moving mesh PDE-5 (MMPDE5), demonstrates rapid and efficient mesh movement. The numerical solutions are obtained by applying the non-uniform L2 numerical scheme and the MMPDE-5 method for moving meshes automatically. Two numerical experiments focused on the space-fractional heat equation validate the convergence of the proposed scheme. The study concludes by exploring patterns in equations involving the fractional Laplacian term within the Gray-Scott system. It reveals self-replication, travelling wave, and chaotic patterns, along with two distinct evolution processes depending on the order alpha: from self-replication to standing waves and from travelling waves to self-replication.
引用
收藏
页数:23
相关论文
共 43 条
[11]   Fractional calculus for power functions and eigenvalues of the fractional Laplacian [J].
Dyda, Bartlomiej .
FRACTIONAL CALCULUS AND APPLIED ANALYSIS, 2012, 15 (04) :536-555
[12]   Advanced materials modelling via fractional calculus: challenges and perspectives [J].
Failla, Giuseppe ;
Zingales, Massimiliano .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2020, 378 (2172)
[13]   Pointwise-in-time a posteriori error control for higher-order discretizations of time-fractional parabolic equations [J].
Franz, Sebastian ;
Kopteva, Natalia .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2023, 427
[14]   A NUMERICAL STUDY OF 3 MOVING-GRID METHODS FOR ONE-DIMENSIONAL PARTIAL-DIFFERENTIAL EQUATIONS WHICH ARE BASED ON THE METHOD OF LINES [J].
FURZELAND, RM ;
VERWER, JG ;
ZEGELING, PA .
JOURNAL OF COMPUTATIONAL PHYSICS, 1990, 89 (02) :349-388
[15]  
Gorenflo R, 2001, OPER THEORY ADV APPL, V121, P120
[16]   Boundary problems for fractional Laplacians [J].
Guan, QY ;
Ma, ZM .
STOCHASTICS AND DYNAMICS, 2005, 5 (03) :385-424
[17]  
Gutleb TS, 2023, Arxiv, DOI arXiv:2311.10896
[18]  
Huang WZ, 2011, APPL MATH SCI, V174, P1, DOI 10.1007/978-1-4419-7916-2
[19]   MOVING MESH PARTIAL-DIFFERENTIAL EQUATIONS (MMPDES) BASED ON THE EQUIDISTRIBUTION PRINCIPLE [J].
HUANG, WZ ;
REN, YH ;
RUSSELL, RD .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 1994, 31 (03) :709-730
[20]   MOVING MESH METHODS BASED ON MOVING MESH PARTIAL-DIFFERENTIAL EQUATIONS [J].
HUANG, WZ ;
REN, YH ;
RUSSELL, RD .
JOURNAL OF COMPUTATIONAL PHYSICS, 1994, 113 (02) :279-290