Optimal convergence rates of the supercritical surface quasi-geostrophic equation. (December 2018)
- Record Type:
- Journal Article
- Title:
- Optimal convergence rates of the supercritical surface quasi-geostrophic equation. (December 2018)
- Main Title:
- Optimal convergence rates of the supercritical surface quasi-geostrophic equation
- Authors:
- Jia, Yan
Xie, Qianqian
Dong, Bo-Qing - Abstract:
- Abstract: This study is concerned with the optimal convergence rates of the supercritical surface quasi-geostrophic equation. When the global weak solution θ of the supercritical surface quasi-geostrophic equation satisfies ∇ θ ∈ L r ( 0, ∞ ; B ̇ p, ∞ 0 ( R 2 ) ) for 2 p + α r = α, 2 α < p < ∞, then even for large initial data perturbation, every weak solution θ ̃ ( x, t ) of the perturbed quasi-geostrophic equation converges to θ ( x, t ) with the optimal algebraic convergence rate ‖ θ ̃ ( t ) − θ ( t ) ‖ L 2 ≤ C ( 1 + t ) − 1 α t > 0 . The findings are mainly based on some new estimates for the trilinear form in Besov spaces and the generalized Fourier splitting method.
- Is Part Of:
- Nonlinear analysis. Volume 44(2018)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 44(2018)
- Issue Display:
- Volume 44, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 44
- Issue:
- 2018
- Issue Sort Value:
- 2018-0044-2018-0000
- Page Start:
- 106
- Page End:
- 117
- Publication Date:
- 2018-12
- Subjects:
- Surface quasi-geostrophic equation -- Optimal convergence rate -- Large perturbation
Nonlinear functional analysis -- Periodicals
Analyse fonctionnelle non linéaire -- Périodiques
Nonlinear functional analysis
Periodicals
515.7248 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14681218 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.nonrwa.2018.05.001 ↗
- Languages:
- English
- ISSNs:
- 1468-1218
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6117.315200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6928.xml