Open AccessPositivity-preserving high-order compact difference method for the Keller-Segel chemotaxis model
Author(s) -
Lin Zhang,
Yongbin Ge,
Zhi Wang
Publication year - 2022
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2022319
Subject(s) - nonlinear system , chemotaxis , scheme (mathematics) , stability (learning theory) , order (exchange) , mathematics , term (time) , mathematical optimization , algorithm , computer science , mathematical analysis , physics , biochemistry , chemistry , receptor , finance , quantum mechanics , machine learning , economics
The paper is concerned with development of an accurate and effective positivity-preserving high-order compact difference method for solving the Keller-Segel chemotaxis model, which is a kind of nonlinear parabolic-parabolic system in mathematical biology. Firstly, a stiffly-stable five-step fourth-order fully implicit compact difference scheme is proposed. The new scheme not only has fourth-order accuracy in the spatial direction, but also has fourth-order accuracy in the temporal direction, and the computational strategy for the nonlinear chemotaxis term is provided. Then, a positivity-preserving numerical algorithm is presented, which ensures the non-negativity of cell density at all time without accuracy loss. And a time advancement algorithm is established. Finally, the proposed method is applied to the numerical simulation for chemotaxis phenomena, and the accuracy, stability and positivity-preserving of the new scheme are validated with several numerical examples.