English

Convergence of random attractors towards deterministic singleton attractor for 2D and 3D convective Brinkman-Forchheimer equations

Analysis of PDEs 2021-03-04 v1 Probability

Abstract

This work deals with the asymptotic behavior of the two as well as three dimensional convective Brinkman-Forchheimer (CBF) equations in periodic domains: utμΔu+(u)u+αu+βur1u+p=f, u=0,\frac{\partial\boldsymbol{u}}{\partial t}-\mu \Delta\boldsymbol{u}+(\boldsymbol{u}\cdot\nabla)\boldsymbol{u}+\alpha\boldsymbol{u}+\beta|\boldsymbol{u}|^{r-1}\boldsymbol{u}+\nabla p=\boldsymbol{f},\ \nabla\cdot\boldsymbol{u}=0, where r1r\geq1. We prove that the global attractor of the above system is a singleton under small forcing intensity (r1r\geq 1 for n=2n=2 and r3r\geq 3 for n=3n=3 with 2βμ12\beta\mu\geq 1 for r=n=3r=n=3). After perturbing the above system with additive or multiplicative white noise, the random attractor does not have a singleton structure. But we obtain that the random attractor for 2D stochastic CBF equations with additive and multiplicative white noise converges towards the deterministic singleton attractor for 1r21\leq r\leq 2 and 1r<1\leq r<\infty, respectively, when the coefficient of random perturbation converges to zero (upper and lower semicontinuity). Interestingly in the case of 3D stochastic CBF equations perturbed by multiplicative white noise, we are able to establish that the random attractor converges towards the deterministic singleton attractor for 3r53\leq r\leq 5 (2βμ12\beta\mu\geq 1 for r=3r=3), when the coefficient of random perturbation converges to zero.

Keywords

Cite

@article{arxiv.2103.02154,
  title  = {Convergence of random attractors towards deterministic singleton attractor for 2D and 3D convective Brinkman-Forchheimer equations},
  author = {Kush Kinra and Manil T. Mohan},
  journal= {arXiv preprint arXiv:2103.02154},
  year   = {2021}
}