EconPapers    
Economics at your fingertips  
 

The averaging principle of Hilfer fractional stochastic pantograph equations with non-Lipschitz conditions

Ramkumar Kasinathan, Ravikumar Kasinathan, Dimplekumar Chalishajar, Dumitru Baleanu and Varshini Sandrasekaran

Statistics & Probability Letters, 2024, vol. 215, issue C

Abstract: This paper is devoted to presenting an averaging principle for Hilfer fractional stochastic differential pantograph equations (HFSDPEs). The probability of the solutions to averaged stochastic systems in the means square sence can be used to approximate the solutions to HFSDPEs under appropriate non-Lipschitz conditions. Furthermore, certain previous results have been significantly generalised by our results. Finally, an example is given to demonstrate the feasibility of the results.

Keywords: Averaging principle; Hilfer fractional stochastic differential system; Means square; Pantograph equations; Probability (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715224001901
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:215:y:2024:i:c:s0167715224001901

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2024.110221

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-31
Handle: RePEc:eee:stapro:v:215:y:2024:i:c:s0167715224001901