IDEAS home Printed from https://ideas.repec.org/a/hin/jnijde/9409699.html

The G&G Model: A Potential-Based Resolution of Fractional Governance Fields With Entropic Noise and Stochastic Control for Digital Regulation in Africa

Author

Listed:
  • Glody Singa
  • Gilles Bokolo Tamba

Abstract

Our paper introduces a mathematical governance model for digital regulation in Africa by extending the previous G&G model to capture digital propagation effects on social behavior. The model derives from a coupled pseudohyperbolic fractional-type equations with memory and stochastic noise, reduced via a latent potential Φ to link temporal connectivity and spatial dynamics. Analytical and numerical methods, including Hamilton–Jacobi–Bellman theory, show that multiplicative noise and entropy significantly shape system behavior and optimal strategies. The results provide an operational framework for adaptive, resilient digital governance by African Multistakeholder Groups.

Suggested Citation

  • Glody Singa & Gilles Bokolo Tamba, 2026. "The G&G Model: A Potential-Based Resolution of Fractional Governance Fields With Entropic Noise and Stochastic Control for Digital Regulation in Africa," International Journal of Differential Equations, Hindawi, vol. 2026, pages 1-26, August.
    • Handle: RePEc:hin:jnijde:9409699
    DOI: 10.1155/ijde/9409699
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ijde/2026/9409699.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/ijde/2026/9409699.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/ijde/9409699?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
    ---><---

    More about this item

    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:hin:jnijde:9409699. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.