Asymptotic periodicity in nonlinear coupled matrix Sylvester Volterra systems integro-dynamic system on arbitrary time domains

This paper presents both a periodic and an asymptotic periodic solution for coupled Sylvester matrix Volterra integro-dynamic systems on time scales. The vectorization operator first changes the Sylvester matrix into the Kronecker product of the system. We then used Schauder’s fixed point theorem to determine a periodic existence solution for the system. Finally, we got solutions that were periodic and asymptotically periodic. Our system’s analysis brings together discrete and continuous dynamic systems.

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Publication Details

Journal
Boundary Value Problems
Published
2026-05-14
DOI
https://doi.org/10.1186/s13661-026-02294-w
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Asymptotic periodicity in nonlinear coupled matrix Sylvester Volterra systems integro-dynamic system on arbitrary time domains

A. Sreenivasulu, Ahmad Aloqaily, Chintamaneni Harisha, Maryam G. Alshehri et al.
Boundary Value Problems
Matrix Theory and Algorithms
article

Asymptotic periodicity in nonlinear coupled matrix Sylvester Volterra systems integro-dynamic system on arbitrary time domains

A. Sreenivasulu, Ahmad Aloqaily, Chintamaneni Harisha, Maryam G. Alshehri, Nabil Mlaiki, Bhogapurapu Venkata Appa Rao
article en

Abstract

This paper presents both a periodic and an asymptotic periodic solution for coupled Sylvester matrix Volterra integro-dynamic systems on time scales. The vectorization operator first changes the Sylvester matrix into the Kronecker product of the system. We then used Schauder’s fixed point theorem to determine a periodic existence solution for the system. Finally, we got solutions that were periodic and asymptotically periodic. Our system’s analysis brings together discrete and continuous dynamic systems.

Boundary Value Problems
Prince Sultan University (SA), University of Tabuk (SA), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 3%
Matrix Theory and Algorithms
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