EconPapers    
Economics at your fingertips  
 

An Application of Miller–Ross-Type Poisson Distribution on Certain Subclasses of Bi-Univalent Functions Subordinate to Gegenbauer Polynomials

Ala Amourah, Basem Aref Frasin and Tamer M. Seoudy
Additional contact information
Ala Amourah: Department of Mathematics, Faculty of Science and Technology, Irbid National University, Irbid 21110, Jordan
Basem Aref Frasin: Faculty of Science, Department of Mathematics, Al al-Bayt University, Mafraq 25113, Jordan
Tamer M. Seoudy: Department of Mathematics, Jamoum University College, Umm Al-Qura University, Makkah 21955, Saudi Arabia

Mathematics, 2022, vol. 10, issue 14, 1-10

Abstract: The Miller–Ross-type Poisson distribution is an important model for plenty of real-world applications. In the present analysis, we study and introduce a new class of bi-univalent functions defined by means of Gegenbauer polynomials with a Miller–Ross-type Poisson distribution series. For functions in each of these bi-univalent function classes, we have derived and explored estimates of the Taylor coefficients a 2 and a 3 and Fekete-Szegö functional problems for functions belonging to these new subclasses.

Keywords: Poisson distribution series; Gegenbauer polynomials; bi-univalent functions; analytic functions; Fekete-Szegö problem (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/14/2462/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/14/2462/ (text/html)

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:gam:jmathe:v:10:y:2022:i:14:p:2462-:d:863212

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2462-:d:863212