On optimal C1, α estimates for p(x)-Laplace type equations. (November 2020)
- Record Type:
- Journal Article
- Title:
- On optimal C1, α estimates for p(x)-Laplace type equations. (November 2020)
- Main Title:
- On optimal C1, α estimates for p(x)-Laplace type equations
- Authors:
- Ding, Mengyao
Zhang, Chao
Zhou, Shulin - Abstract:
- Abstract: In this paper, we investigate the optimal C 1, α estimates for the elliptic p ( ⋅ ) -Laplace equation: div ( a ( x ) | ∇ u | p ( x ) − 2 ∇ u ) = div h ( x ) + f ( x ) in Ω with f ∈ L q ( ⋅ ) ( Ω ) and a, h ∈ C σ ( Ω ¯ ) . Based on a certain geometric oscillation estimate, the scaling arguments and appropriate localization technique as well as the careful analysis on the variable exponents, we exhibit how the optimal Hölder exponent of ∇ u is influenced by p ( ⋅ ), q ( ⋅ ) and σ . This work can be regarded as a natural follow up to the paper by Araújo and Zhang (in press).
- 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:
- 35J62 -- 35J70
Elliptic p(x)-Laplacian -- Optimal Hölder exponent
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.2020.112030 ↗
- 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
British Library HMNTS - ELD Digital store - Ingest File:
- 13946.xml