PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 16, 2026Asymptotic Analysis1 citations

Global Mild Solutions to the 3D Boussinesq–Coriolis System With Caputo Time-Fractional Derivatives in Besov–Morrey Spaces

View Full Paper
HKHassan KhaiderMOMohamed El OuaarabiARAbderrahmane Raji

Key Points

  • The aim is to establish the existence and uniqueness of mild solutions for a Boussinesq–Coriolis system with time-fractional derivatives.
  • Analyzed the Boussinesq–Coriolis model using Caputo time-fractional derivatives.
  • Focused on global well-posedness in homogeneous Besov–Morrey spaces.
  • Used semigroup estimates related to the Stokes–Coriolis operator.
  • Investigated Mittag–Leffler and Mainardi functions to support findings.
  • Demonstrated global existence of mild solutions for small initial data.
  • Confirmed uniqueness of solutions under specific conditions.
  • Extended previous results by integrating fractional dynamics and rotation.

Abstract

In this article, we investigate the global well-posedness of a three-dimensional incompressible viscous fluid system under the influence of both rotational forces and anomalous diffusion. Specifically, we study a time-fractional Boussinesq– Coriolis model with Caputo derivatives of order α ∈ ( 0 , 1 ) , capturing the combined effects of the Coriolis force and fractional diffusion in geophysical flows. Working within the framework of homogeneous Besov–Morrey spaces, we establish global-in-time existence and uniqueness of mild solutions for small initial data. Our analysis relies on refined semigroup estimates associated with the Stokes–Coriolis operator, together with properties of the Mittag–Leffler and Mainardi functions. This extends prior results in classical and fractional Boussinesq or Navier–Stokes systems by incorporating both time-fractional dynamics and rotation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Khaider et al. (2026) studied this question.

synapsesocial.com/papers/6992b3939b75e639e9b08534https://doi.org/10.1177/09217134251414074
Ask AI
Helpful
Bookmark
Share
View Full Paper