Detailed Information
Cited 0 time in 
Cited 3 time in 
Cited 3 time in
Metadata Downloads
Best approximation of (G(1), G(2))-random operator inequality in matrix Menger Banach algebras with application of stochastic Mittag-Leffler and H-Fox control functionsopen access
- Issue Date
- Jan-2022
- Publisher
- SPRINGER
- Keywords
- Stochastic matrix control function; Mittag-Leffler; (G(1), G(2))-random operator inequality; Menger Banach algebra; H-Fox function
- Citation
- JOURNAL OF INEQUALITIES AND APPLICATIONS, v.2022, no.1, pp.1 - 17
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF INEQUALITIES AND APPLICATIONS
- Volume
- 2022
- Number
- 1
- Start Page
- 1
- End Page
- 17
- ISSN
- 1025-5834
- Abstract
- We stabilize pseudostochastic (G(1), G(2))-random operator inequality using a class of stochastic matrix control functions in matrix Menger Banach algebras. We get an approximation for stochastic (G(1), G(2))-random operator inequality by means of both direct and fixed point methods. As an application, we apply both stochastic Mittag-Leffler and H-fox control functions to get a better approximation in a random operator inequality.
- Files in This Item
- Appears in
Collections - 서울 자연과학대학 > 서울 수학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Park, Choonkil
- COLLEGE OF NATURAL SCIENCES (DEPARTMENT OF MATHEMATICS)