PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 6, 20260 citationsOpen Access

Three-scale singular limits with applications to rapidly rotating fluids and the hyperbolization of dispersive systems

VDVincent DuchêneADArnaud DuranKMKhawla Msheik

Key Points

  • The research aims to understand singular problems in quasilinear hyperbolic systems influenced by stiff parameters.
  • Analyzed spatial oscillations in solutions of hyperbolic systems with stiff parameters.
  • Provided conditions for uniform control and convergence in small stiff parameter limits.
  • Applied findings to systems modeling shallow-water dynamics and dispersive wave propagation.
  • Identified conditions that ensure the uniform control of solutions despite small-amplitude oscillations.
  • Demonstrated strong convergence in the limiting case of stiff parameters.
  • Validated the general theory with applications to the Benjamin-Bona-Mahony and Serre-Green-Naghdi equations.

Abstract

We consider singular problems for a general class of quasilinear hyperbolic systems that involve two a priori independent stiff parameters. We argue that such situations may lead to the rapid development of small-amplitude spatial oscillations of small wavelength starting from arbitrarily smooth initial data. Despite this phenomenon we provide sufficient conditions on initial data that secure the uniform control of solutions and show strong convergence in the singular limit of small stiff parameters. We apply our general theory to the rapidly rotating shallow-water system with bottom topography, and to hyperbolic systems stemming from a constraint-relaxation strategy applied to dispersive models for the propagation of water waves, specifically the Benjamin-Bona-Mahony, Boussinesq-Peregrine and Serre-Green-Naghdi equations.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Duchêne et al. (2026) studied this question.

synapsesocial.com/papers/6a23b89f71a5da9775e74bb5https://doi.org/10.48550/arxiv.2606.01913
Ask AI
Helpful
Bookmark
Share
View Full Paper