Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity (2018)
- Authors:
- Autor USP: EBERT, MARCELO REMPEL - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1016/j.nonrwa.2017.08.009
- Subjects: MATEMÁTICA; ANÁLISE NÃO LINEAR DE ESTRUTURAS
- Keywords: de Sitter model; Power-nonlinearity; Small data global existence; Fractional chain rule; Fractional Leibniz rule; Fractional Gagliardo-Nirenberg; Inequality
- Language: Inglês
- Imprenta:
- Source:
- Título: Nonlinear Analysis : Real World Applications
- ISSN: 1468-1218
- Volume/Número/Paginação/Ano: v. 40, p. 14-54, 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
EBERT, Marcelo Rempel e REISSIG, Michael. Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity. Nonlinear Analysis : Real World Applications, v. 40, p. 14-54, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.nonrwa.2017.08.009. Acesso em: 22 jan. 2026. -
APA
Ebert, M. R., & Reissig, M. (2018). Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity. Nonlinear Analysis : Real World Applications, 40, 14-54. doi:10.1016/j.nonrwa.2017.08.009 -
NLM
Ebert MR, Reissig M. Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity [Internet]. Nonlinear Analysis : Real World Applications. 2018 ; 40 14-54.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.nonrwa.2017.08.009 -
Vancouver
Ebert MR, Reissig M. Regularity theory and global existence of small data solutions to semi-linear de Sitter models with power non-linearity [Internet]. Nonlinear Analysis : Real World Applications. 2018 ; 40 14-54.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.nonrwa.2017.08.009 - Critical regularity of nonlinearities in semilinear classical damped wave equations
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Informações sobre o DOI: 10.1016/j.nonrwa.2017.08.009 (Fonte: oaDOI API)
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