A stability testing algorithm for incommensurate fractional differential equation systems

Abstract We consider the question of determining whether or not a given system of fractional-order differential equations is (asymptotically) stable. In particular, we admit systems where each constituent equation may have its own order, independent of the orders of the other equations in the system, i.e. we discuss the so-called incommensurate case. Exploiting ideas based in numerical linear algebra, we present an algorithm that answers this question and that is much simpler than known methods. We discuss in detail the case of linear problems where the ratios of orders are rational and indicate how known techniques can be used to apply our findings also to general nonlinear problems with arbitrary orders. A MATLAB implementation of the code is provided.

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Publication Details

Journal
Numerical Algorithms
Published
2026-07-16
DOI
https://doi.org/10.1007/s11075-026-02440-6
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

A stability testing algorithm for incommensurate fractional differential equation systems

Kai Diethelm, Safoura Hashemishahraki
Numerical Algorithms
Fractional Differential Equations Solutions
article

A stability testing algorithm for incommensurate fractional differential equation systems

Kai Diethelm, Safoura Hashemishahraki
article en

Abstract

Abstract We consider the question of determining whether or not a given system of fractional-order differential equations is (asymptotically) stable. In particular, we admit systems where each constituent equation may have its own order, independent of the orders of the other equations in the system, i.e. we discuss the so-called incommensurate case. Exploiting ideas based in numerical linear algebra, we present an algorithm that answers this question and that is much simpler than known methods. We discuss in detail the case of linear problems where the ratios of orders are rational and indicate how known techniques can be used to apply our findings also to general nonlinear problems with arbitrary orders. A MATLAB implementation of the code is provided.

Numerical Algorithms
Technical University of Applied Sciences Würzburg-Schweinfurt (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Fractional Differential Equations Solutions
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