IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i19p3095-d1759030.html
   My bibliography  Save this article

A Priori Uniform Bounds as Measure-Theoretic Tools: Long-Term Analysis via Classical-Enhanced Synthesis

Author

Listed:
  • Jianchao Bai

    (School of Mathematics and Physics, Yibin University, Yibin 644000, China)

  • Jinxing Liu

    (School of Mathematics and Physics, Yibin University, Yibin 644000, China)

Abstract

This work presents a systematic study of nonlinear differential equations within Sobolev spaces, focusing on mild solutions and their qualitative properties. An iterative reconstruction method is developed to obtain uniform a priori bounds, which ensure both the existence and tightness of invariant measures. Furthermore, uniqueness of these measures is established under appropriate structural conditions. The results provide a rigorous foundation for analyzing the asymptotic behavior of nonlinear dynamical systems.

Suggested Citation

  • Jianchao Bai & Jinxing Liu, 2025. "A Priori Uniform Bounds as Measure-Theoretic Tools: Long-Term Analysis via Classical-Enhanced Synthesis," Mathematics, MDPI, vol. 13(19), pages 1-22, September.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:19:p:3095-:d:1759030
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/19/3095/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/19/3095/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:13:y:2025:i:19:p:3095-:d:1759030. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.