Gradient Maximum Principle for Minima
C. Mariconda and
G. Treu
Additional contact information
C. Mariconda: University of Padova
G. Treu: University of Padova
Journal of Optimization Theory and Applications, 2002, vol. 112, issue 1, No 9, 167-186
Abstract:
Abstract We state a maximum principle for the gradient of the minima of integral functionals $$I(u) = \int_\Omega{f(\nabla u)}+ g(u)]dx,{\text{on }}\bar u + W_0^{1,1} (\Omega ),$$ just assuming that I is strictly convex. We do not require that f, g be smooth, nor that they satisfy growth conditions. As an application, we prove a Lipschitz regularity result for constrained minima.
Keywords: Comparison principle; gradient maximum principle; Lipschitz regularity; maximum principle (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1023/A:1013052830852 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:112:y:2002:i:1:d:10.1023_a:1013052830852
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/A:1013052830852
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().