Approximate Controllability of Nonlocal Stochastic Integrodifferential System in Hilbert Spaces
Mamadou Pathe LY, Ravikumar Kasinathan, Ramkumar Kasinathan, Dimplekumar Chalishajar, Mamadou Abdoul Diop

TL;DR
This paper establishes the approximate controllability of a class of nonlocal stochastic integrodifferential systems in Hilbert spaces by leveraging resolvent operator properties, fixed point theorems, and approximation techniques.
Contribution
It introduces a novel approach that does not rely on compactness or Lipschitz conditions for nonlocal terms, using resolvent operator theory and fixed point methods.
Findings
Proves controllability of nonlinear stochastic systems without compactness assumptions
Employs Schauder's fixed point theorem and resolvent operator theory
Provides an example validating the theoretical results
Abstract
This project investigates the approximate controllability of a class of stochastic integrodifferential equations in Hilbert space with non-local beginning conditions. In a departure from the conventional concerns expressed in the literature, we will not consider compactness or the Lipschitz criteria concerning the nonlocal term. We use the fact that the resolvent operator is compact. We first prove the controllability of the nonlinear system using Schauder's fixed point theorem, a method known for its robustness; as well, we also use Grimmer's resolvent operator theory. Subsequently, we employ the reliable approximation methods and the powerful diagonal argument to determine the approximate controllability of the stochastic system. To conclude, we present an example that validates our theoretical statement.
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Taxonomy
TopicsNonlinear Differential Equations Analysis · Stability and Controllability of Differential Equations · Neural Networks Stability and Synchronization
