190
Views
4
CrossRef citations to date
0
Altmetric
Articles

A collocation method for singularly perturbed differential-difference turning point problems exhibiting boundary/interior layers

ORCID Icon
Pages 1847-1870 | Received 22 Feb 2018, Accepted 10 Jun 2018, Published online: 20 Nov 2018
 

ABSTRACT

In this article, a collocation method for the problems where the second-order derivative is multiplied by a small perturbation parameter ϵ, the coefficient of the convection term vanishes at a point within the domain of interest, and the shift δ is of o(ε) is proposed. Similar boundary value problems are encountered while simulating several real-life processes, for instance, first exit time problem in the modelling of neuronal variability. The presence of turning point results into twin boundary layers or an interior layer in the solution of the problem under consideration. A rigorous analysis is carried out and it has been shown theoretically that the numerical solution generated by the method converges uniformly to the solution of the continuous problem with respect to the singular perturbation parameter. The effect of the small shift on the boundary/interior layer(s) has also been observed. Several numerical examples are presented to support the theoretical analysis developed in this article.

AMS SUBJECT CLASSIFICATIONS:

Acknowledgments

The author would like to express thanks to the anonyms referees for their valuable comments/suggestions which have improved the presentation of this work.

Disclosure statement

No potential conflict of interest was reported by the author.

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 371.00 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.