STOCHASTIC CONTROLLABILITY FOR A NONAUTONOMOUS FRACTIONAL NEUTRAL DIFFERENTIAL EQUATION WITH INFINITE DELAY IN ABSTRACT SPACE

This paper deals with the controllability for a class of nonautonomous neutral differential equations of fractional order with infinite delay in an abstract space. The semigroup theory of bounded linear operators, fractional calculus, and stochastic analysis techniques have been implemented to achieve the main result. We prove the existence of a mild solution and controllability of the system by using the theory of measure of noncompactness, fixed point theorems, and a k-set contractive mapping. An example is given to demonstrate the effectiveness of the abstract result.

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Publication Details

Journal
Rocky Mountain Journal of Mathematics
Published
2024-09-26
DOI
https://doi.org/10.1216/rmj.2024.54.1383
Primary Topic
Stability and Controllability of Differential Equations
Type
article
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article

STOCHASTIC CONTROLLABILITY FOR A NONAUTONOMOUS FRACTIONAL NEUTRAL DIFFERENTIAL EQUATION WITH INFINITE DELAY IN ABSTRACT SPACE

Abdur Raheem, Asma Afreen, Areefa Khatoon
Rocky Mountain Journal of Mathematics
Stability and Controllability of Differential Equations
article

STOCHASTIC CONTROLLABILITY FOR A NONAUTONOMOUS FRACTIONAL NEUTRAL DIFFERENTIAL EQUATION WITH INFINITE DELAY IN ABSTRACT SPACE

Abdur Raheem, Asma Afreen, Areefa Khatoon
article en

Abstract

This paper deals with the controllability for a class of nonautonomous neutral differential equations of fractional order with infinite delay in an abstract space. The semigroup theory of bounded linear operators, fractional calculus, and stochastic analysis techniques have been implemented to achieve the main result. We prove the existence of a mild solution and controllability of the system by using the theory of measure of noncompactness, fixed point theorems, and a k-set contractive mapping. An example is given to demonstrate the effectiveness of the abstract result.

Rocky Mountain Journal of MathematicsVol. 54(5)
Openalex Percentile: Top 82%
Stability and Controllability of Differential Equations
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