Variation of Parameters Representations and Lipschitz-Type Stability for Unperturbed Matrix Differential Systems with Initial Time Difference

In this study, we explore the connection between unperturbed matrix differential systems that exhibit variations in both their initial conditions and the starting time. Through the application of variation of parameters methods, we construct integral representations that reveal this relationship. To formulate Lipschitz-type stability criteria under the presence of an initial time shift in nonlinear differential systems, it is essential to employ the variational framework derived from the unperturbed matrix model.

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Publication Details

Journal
Fundamental Journal of Mathematics and Applications
Published
2026-09-30
DOI
https://doi.org/10.33401/fujma.1785134
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

Variation of Parameters Representations and Lipschitz-Type Stability for Unperturbed Matrix Differential Systems with Initial Time Difference

Dilara Karslıoğlu, Coşkun Yakar
Fundamental Journal of Mathematics and Applications
Stability and Control of Uncertain Systems
article

Variation of Parameters Representations and Lipschitz-Type Stability for Unperturbed Matrix Differential Systems with Initial Time Difference

Dilara Karslıoğlu, Coşkun Yakar
article en

Abstract

In this study, we explore the connection between unperturbed matrix differential systems that exhibit variations in both their initial conditions and the starting time. Through the application of variation of parameters methods, we construct integral representations that reveal this relationship. To formulate Lipschitz-type stability criteria under the presence of an initial time shift in nonlinear differential systems, it is essential to employ the variational framework derived from the unperturbed matrix model.

Fundamental Journal of Mathematics and ApplicationsVol. 9(3)
Yeditepe University (TR), Gebze Technical University (TR)
Openalex Percentile: Top 16%
Stability and Control of Uncertain Systems
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