Numerical simulations for the chemotaxis models on surfaces via a novel characteristic finite element method. (1st July 2019)
- Record Type:
- Journal Article
- Title:
- Numerical simulations for the chemotaxis models on surfaces via a novel characteristic finite element method. (1st July 2019)
- Main Title:
- Numerical simulations for the chemotaxis models on surfaces via a novel characteristic finite element method
- Authors:
- Xiao, Xufeng
Feng, Xinlong
He, Yinnian - Abstract:
- Abstract: In this paper, the chemotaxis partial differential equations models which describe the movement by one community in reaction to one chemical or biological signal are given and solved numerically on surfaces. The models and the numerical method concerned are in terms of a generic form of chemotaxis models. We develop a new semi-implicit finite element scheme based on the gradient and Laplacian recoveries to linearize the equations. Meanwhile, we modify the proposed semi-implicit scheme as a characteristic form and present a novel strategy for the discretization of characteristic derivative on surface. The lumped mass modification is employed for positivity preservation. And the related analysis results are provided. We investigate the accuracy and convergence of the proposed method by numerical tests. And the simulations of blowing-up solution, pattern formulations and aggregations of bacteria demonstrate the applicability of the proposed methods.
- Is Part Of:
- Computers & mathematics with applications. Volume 78:issue 1(2019)
- Journal:
- Computers & mathematics with applications
- Issue:
- Volume 78:issue 1(2019)
- Issue Display:
- Volume 78, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 78
- Issue:
- 1
- Issue Sort Value:
- 2019-0078-0001-0000
- Page Start:
- 20
- Page End:
- 34
- Publication Date:
- 2019-07-01
- Subjects:
- Surface chemotaxis models -- Surface finite element method -- Surface gradient and Laplacian recoveries -- Modified method of surface characteristic -- Positivity preservation
Electronic data processing -- Periodicals
Mathematics -- Data processing -- Periodicals
510.28541 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08981221 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.camwa.2019.02.004 ↗
- Languages:
- English
- ISSNs:
- 0898-1221
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.730000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18712.xml