Subdifferential characterization of approximate convexity: the lower semicontinuous case

成果类型:
Article; Proceedings Paper
署名作者:
Daniilidis, A.; Jules, F.; Lassonde, M.
署名单位:
Universite des Antilles; Autonomous University of Barcelona
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-007-0127-3
发表日期:
2009
页码:
115-127
关键词:
maximal monotonicity integration
摘要:
It is known that a locally Lipschitz function is approximately convex if, and only if, its Clarke subdifferential is a submonotone operator. The main object of this work is to extend the above characterization to the class of lower semicontinuous functions. To this end, we establish a new approximate mean value inequality involving three points. We also show that an analogue of the Rockafellar maximal monotonicity theorem holds for this class of functions and we discuss the case of arbitrary subdifferentials.