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 functions

  • Rezaei Aderyani, Safoura
  • Saadati, Reza
  • Rassias, Themistocles M.
  • Park, Choonkil
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초록

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.

키워드

Stochastic matrix control functionMittag-Leffler(G(1), G(2))-random operator inequalityMenger Banach algebraH-Fox functionHYERS-ULAM STABILITYFIXED-POINT THEOREMEQUATION
제목
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 functions
저자
Rezaei Aderyani, SafouraSaadati, RezaRassias, Themistocles M.Park, Choonkil
DOI
10.1186/s13660-021-02747-z
발행일
2022-01
유형
Article
저널명
Journal of Inequalities and Applications
2022
1
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1 ~ 17

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