Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity. (April 2018)
- Record Type:
- Journal Article
- Title:
- Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity. (April 2018)
- Main Title:
- Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity
- Authors:
- Ebert, M.R.
Reissig, M. - Abstract:
- Abstract: In this paper we consider the Cauchy problem for semi-linear de Sitter models with power non-linearity. The model of interest is ϕ t t − e − 2 t Δ ϕ + n ϕ t + m 2 ϕ = | ϕ | p, ( ϕ ( 0, x ), ϕ t ( 0, x ) ) = ( f ( x ), g ( x ) ), where m 2 is a non-negative constant. We study the global (in time) existence of small data solutions. In particular, we show the interplay between the power p, admissible data spaces and admissible spaces of solutions (in weak sense, in sense of energy solutions or in classical sense).
- Is Part Of:
- Nonlinear analysis. Volume 40(2018)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 40(2018)
- Issue Display:
- Volume 40, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 40
- Issue:
- 2018
- Issue Sort Value:
- 2018-0040-2018-0000
- Page Start:
- 14
- Page End:
- 54
- Publication Date:
- 2018-04
- Subjects:
- de Sitter model -- Power-nonlinearity -- Small data global existence -- Fractional chain rule -- Fractional Leibniz rule -- Fractional Gagliardo–Nirenberg inequality
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.2017.08.009 ↗
- 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:
- 5350.xml