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

Autor: Kinra, Kush, Mohan, Manil T.
Předmět:
Zdroj: Evolution Equations & Control Theory; Oct2022, Vol. 11 Issue 5, p1701-1744, 44p
Abstrakt: This work deals with the asymptotic behavior of the two as well as three dimensional convective Brinkman-Forchheimer (CBF) equations in an n -dimensional torus (n = 2 , 3): ∂ u ∂ t − μ Δ u + (u ⋅ ∇) u + α u + β | u | r − 1 u + ∇ p = f , ∇ ⋅ u = 0 , where r ≥ 1. We prove that the global attractor of the above system is singleton under small forcing intensity (r ≥ 1 for n = 2 and r ≥ 3 for n = 3 with 2 β μ ≥ 1 for r = n = 3). But if one perturbs the above system with an additive or multiplicative white noise, there is no sufficient evidence that the random attractor keeps the singleton structure. We obtain that the random attractor for 2D stochastic CBF equations forced by additive and multiplicative white noise converges towards the deterministic singleton attractor for all 1 ≤ r < ∞ , when the coefficient of random perturbation converges to zero (upper and lower semicontinuity). For the case of 3D stochastic CBF equations perturbed by additive and multiplicative white noise, we are able to establish that the random attractor converges towards the deterministic singleton attractor for 3 ≤ r < ∞ (2 β μ ≥ 1 for r = 3), when the coefficient of random perturbation converges to zero. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index