Large deviation principles for a 2D stochastic Cahn–Hilliard–Navier–Stokes driven by jump noise Article

Deugoué, G, Tachim Medjo, T. (2022). Large deviation principles for a 2D stochastic Cahn–Hilliard–Navier–Stokes driven by jump noise . STOCHASTICS-AN INTERNATIONAL JOURNAL OF PROBABILITY AND STOCHASTIC PROCESSES, 94(7), 1102-1136. 10.1080/17442508.2021.2023151

cited authors

  • Deugoué, G; Tachim Medjo, T

authors

abstract

  • In this article, we derive a large deviation principle for a stochastic 2D Cahn–Hilliard–Navier–Stokes system with a multiplicative noise of Lévy-type. The model consists of the Navier–Stokes equations for the velocity, coupled with a Cahn–Hilliard system for the order (phase) parameter. The proof is based on the weak convergence method introduced by Budhiraja, Dupuis and Maroulas in [Ann. Inst. Henri Poincaré Probab. Stat. 47 (2011) 725–747].

publication date

  • January 1, 2022

published in

Digital Object Identifier (DOI)

start page

  • 1102

end page

  • 1136

volume

  • 94

issue

  • 7