IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v200y2025ip2s0960077925010343.html

Quantifying fractional characteristic exponent of fractional order systems and its applications

Author

Listed:
  • Lenka, Bichitra Kumar
  • Upadhyay, Ranjit Kumar

Abstract

In many applications of interest, one of the typical problems that often occurs is that quantifying the bounded and unbounded solutions of fractional order systems remains very difficult and challenging. The location of eigenvalues of fundamental autonomous linear fractional order systems when they lie in the sector |arg(s)|>π2 often guarantees bounded solutions, but verifications demand different patterns on all fractional orders involved in such systems. When such systems become nonlinear, quantification of each solution seems entirely lost, and no definite theoretical knowledge is known about how to quantify predicting dynamics of solutions to such systems. We introduce a novel concept, fractional characteristic exponent (FCE), that gives an intuitive mathematical tool to obtain a finite number for any solutions arising in such systems. We prove that the FCE of any solution to general nonautonomous fractional-order systems remains finite. Our main result concerning a non-positive sign of FCE gives confirmation to boundedness, and a positive sign refers to unboundedness of solutions to such systems indicating applications to reality. New conditions to obtain fractional characteristic exponents are developed for such systems, guaranteeing a signature to solutions. We illustrate our novel findings with various advanced fractional order systems that give quantification to each solution.

Suggested Citation

  • Lenka, Bichitra Kumar & Upadhyay, Ranjit Kumar, 2025. "Quantifying fractional characteristic exponent of fractional order systems and its applications," Chaos, Solitons & Fractals, Elsevier, vol. 200(P2).
  • Handle: RePEc:eee:chsofr:v:200:y:2025:i:p2:s0960077925010343
    DOI: 10.1016/j.chaos.2025.117021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925010343
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.117021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Akinlar, Mehmet Ali & Tchier, Fairouz & Inc, Mustafa, 2020. "Chaos control and solutions of fractional-order Malkus waterwheel model," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Izadbakhsh, Alireza & Nikdel, Nazila, 2021. "Chaos synchronization using differential equations as extended state observer," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    2. Deepika, S. & Veeresha, P., 2023. "Dynamics of chaotic waterwheel model with the asymmetric flow within the frame of Caputo fractional operator," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    3. Ávalos-Ruíz, L.F. & Zúñiga-Aguilar, C.J. & Gómez-Aguilar, J.F. & Cortes-Campos, H.M. & Lavín-Delgado, J.E., 2023. "A RGB image encryption technique using chaotic maps of fractional variable-order based on DNA encoding," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    4. Xin, Baogui & Peng, Wei & Kwon, Yekyung, 2020. "A discrete fractional-order Cournot duopoly game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:200:y:2025:i:p2:s0960077925010343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.