61
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Analysis of a semi-Lagrangian numerical method in a cell dwarfism model

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 30 Apr 2022, Accepted 20 Nov 2022, Published online: 27 Dec 2022
 

Abstract

In this work, we introduce a new semi-Lagrangian numerical method proposed to solve a cell population balance model which describes cell dwarfism, by allowing cell division at any size. We analyse its convergence and derive an optimal rate. Numerical experiments are reported to demonstrate the predicted accuracy of the scheme. Finally, the good behaviour of the numerical method is exhibited in stressed conditions that can provoke lack of smoothness and simulations are included to show how the increase in the division rate of small size-cells promotes dynamics in which nonfunctional dwarf cells are saturating the total cell population.

AMS SUBJECT CLASSIFICATIONS:

Acknowledgments

The authors are very grateful to the anonymous referees for his/her careful reading of the original manuscript and his/her aid to improve it.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded in part by project MTM2017-85476-C2-1-P of the Spanish Ministerio de Ciencia e Innovación,and European FEDER funds  [grant numbers PID2020-113554GB-I00/AEI/10.13039/501100011033, RED2018-102650-T] funded by MCIN/AEI/10.13039/501100011033 [research grant number VA193P20] of the Junta de Castilla y León, Spain, and European FEDER funds (EU).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.