Lorentz improving estimates for the p-Laplace equations with mixed data. (November 2020)
- Record Type:
- Journal Article
- Title:
- Lorentz improving estimates for the p-Laplace equations with mixed data. (November 2020)
- Main Title:
- Lorentz improving estimates for the p-Laplace equations with mixed data
- Authors:
- Nguyen, Thanh-Nhan
Tran, Minh-Phuong - Abstract:
- Abstract: The aim of this paper is to develop the regularity theory for a weak solution to a class of quasilinear nonhomogeneous elliptic equations, whose prototype is the following mixed Dirichlet p -Laplace equation of type div ( | ∇ u | p − 2 ∇ u ) = f + div ( | F | p − 2 F ) in Ω, u = g on ∂ Ω, in Lorentz space, with given data F ∈ L p ( Ω ; R n ), f ∈ L p p − 1 ( Ω ), g ∈ W 1, p ( Ω ) for 1 < p < ∞ and Ω ⊂ R n ( n ≥ 2 ) satisfying a Reifenberg flat domain condition or a p -capacity uniform thickness condition, which are considered in several recent papers. To better specify our result, the proofs of regularity estimates involve fractional maximal operators and valid for a more general class of quasilinear nonhomogeneous elliptic equations with mixed data. This paper not only deals with the Lorentz estimates for a class of more general problems with mixed data but also improves the good- λ approach technique proposed in our preceding works (Tran, 2019; Tran and Nguyen, 2019; Tran and Nguyen, 2020; Tran and Nguyen (in press)), to achieve the global Lorentz regularity estimates for gradient of weak solutions in terms of fractional maximal operators.
- Is Part Of:
- Nonlinear analysis. Volume 200(2020)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 200(2020)
- Issue Display:
- Volume 200, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 200
- Issue:
- 2020
- Issue Sort Value:
- 2020-0200-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11
- Subjects:
- p-Laplace -- Mixed data -- Dirichlet boundary data -- Regularity -- Fractional maximal functions -- Lorentz spaces
Mathematical analysis -- Periodicals
Functional analysis -- Periodicals
Nonlinear theories -- Periodicals
Analyse mathématique -- Périodiques
Analyse fonctionnelle -- Périodiques
Théories non linéaires -- Périodiques
Functional analysis
Mathematical analysis
Nonlinear theories
Periodicals
Electronic journals
515.7248 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0362546X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.na.2020.111960 ↗
- Languages:
- English
- ISSNs:
- 0362-546X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6117.316500
British Library DSC - BLDSS-3PM
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- 13946.xml