2022
DOI: 10.3390/sym14102064
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Minimum Superstability of Stochastic Ternary Antiderivations in Symmetric Matrix-Valued FB-Algebras and Symmetric Matrix-Valued FC-⋄-Algebras

Abstract: Our main goal in this paper is to investigate stochastic ternary antiderivatives (STAD). First, we will introduce the random ternary antiderivative operator. Then, by introducing the aggregation function using special functions such as the Mittag-Leffler function (MLF), the Wright function (WF), the H-Fox function (HFF), the Gauss hypergeometric function (GHF), and the exponential function (EXP-F), we will select the optimal control function by performing the necessary calculations. Next, by considering the sy… Show more

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Cited by 3 publications
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“…The stochastic models were used by many authors in the literature: The single time-delayed stochastic integral equations via orthogonal functions are implemented by Seyyedeh N. Kiaee et al [23]. The minimum superstability of stochastic ternary antiderivations in symmetric matrix-valued are used by [24]. Similarly, the stochastic analysis of train running safety on a bridge with earthquake-induced irregularity under aftershock was studied by the author [25] and the stochastic SIRS epidemic model using the spectral technique by [26].…”
Section: Introductionmentioning
confidence: 99%
“…The stochastic models were used by many authors in the literature: The single time-delayed stochastic integral equations via orthogonal functions are implemented by Seyyedeh N. Kiaee et al [23]. The minimum superstability of stochastic ternary antiderivations in symmetric matrix-valued are used by [24]. Similarly, the stochastic analysis of train running safety on a bridge with earthquake-induced irregularity under aftershock was studied by the author [25] and the stochastic SIRS epidemic model using the spectral technique by [26].…”
Section: Introductionmentioning
confidence: 99%