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The analysis and computation of nabla Mittag–Leffler functions deduced from the frequency domain

Author

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  • Wei, Yiheng
  • Zhou, Shuaiyu
  • Xu, Qiang
  • Du, Feifei

Abstract

This paper makes a pioneering contribution to discrete-time fractional calculus by focusing on the nabla Mittag-Leffler function. Motivated by identified limitations in the existing time-domain definition, this work systematically develops a frequency-domain definition. Through rigorous mathematical analysis, a novel framework is established to bridge the gap between time- and frequency-domain representations, with particular emphasis on the carefully constructed initial value conditions. Subsequently, a comprehensive suite of analytic properties is derived, i.e., the numerical relationship and the dynamic behavior. To enable practical applications, three innovative computational schemes are proposed, each accompanied by thorough convergence analysis. The efficacy of our methods is demonstrated through three benchmark numerical examples. These advancements provide new tools for typical applications of nabla fractional order systems.

Suggested Citation

  • Wei, Yiheng & Zhou, Shuaiyu & Xu, Qiang & Du, Feifei, 2025. "The analysis and computation of nabla Mittag–Leffler functions deduced from the frequency domain," Chaos, Solitons & Fractals, Elsevier, vol. 201(P1).
  • Handle: RePEc:eee:chsofr:v:201:y:2025:i:p1:s0960077925011701
    DOI: 10.1016/j.chaos.2025.117157
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    References listed on IDEAS

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    1. Li, Hui & Kao, Yonggui & Li, Hong-Li, 2021. "Globally β-Mittag-Leffler stability and β-Mittag-Leffler convergence in Lagrange sense for impulsive fractional-order complex-valued neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    2. Bao, Baizeng & Xu, Liguang, 2025. "Mittag-Leffler ultimate boundedness of fractional-order nonautonomous delay systems," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).
    3. Mohammed, Pshtiwan Othman & Kürt, Cemaliye & Abdeljawad, Thabet, 2022. "Bivariate discrete Mittag-Leffler functions with associated discrete fractional operators," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    4. Suwan, Iyad & Abdeljawad, Thabet & Jarad, Fahd, 2018. "Monotonicity analysis for nabla h-discrete fractional Atangana–Baleanu differences," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 50-59.
    5. Andrew Ly & Pulin Gong, 2025. "Optimization on multifractal loss landscapes explains a diverse range of geometrical and dynamical properties of deep learning," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    6. Du, Feifei & Jia, Baoguo, 2020. "Finite time stability of fractional delay difference systems: A discrete delayed Mittag-Leffler matrix function approach," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    7. Birte Riechers & Amlan Das & Eric Dufresne & Peter M. Derlet & Robert Maaß, 2024. "Intermittent cluster dynamics and temporal fractional diffusion in a bulk metallic glass," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
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