Generalized exhausters: Existence, construction, optimality conditions

Majid E. Abbasov

doi:10.3934/jimo.2015.11.217

Article Contents

2015, Volume 11, Issue 1: 217-230. Doi: 10.3934/jimo.2015.11.217

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Generalized exhausters: Existence, construction, optimality conditions

Majid E. Abbasov^1,

1.
Saint Petersburg State University, Universitetskaya nab., 7-9, St. Petersburg

Received: May 2013

Revised: March 2014

Published: January 2015

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Abstract

In this work a generalization of the notion of exhauster is considered. Exhausters are new tools in nonsmooth analysis introduced in works of Demyanov V.F., Rubinov A.M., Pshenichny B.N. In essence, exhausters are families of convex compact sets, allowing to represent the increments of a function at a considered point in an $\inf\max$ or $\sup\min$ form, the upper exhausters used for the first representation, and the lower one for the second representation. Using this objects one can get new optimality conditions, find descent and ascent directions and thus construct new optimization algorithms. Rubinov A.M. showed that an arbitrary upper or lower semicontinuous positively homogenous function bounded on the unit ball has an upper or lower exhausters respectively. One of the aims of the work is to obtain the similar result under weaker conditions on the function under study, but for this it is necessary to use generalized exhausters - a family of convex (but not compact!) sets, allowing to represent the increments of the function at a considered point in the form of $\inf\sup$ or $\sup\inf$. The resulting existence theorem is constructive and gives a theoretical possibility of constructing these families. Also in terms of these objects optimality conditions that generalize the conditions obtained by Demyanov V.F., Abbasov M.E. are stated and proved. As an illustration of obtained results, an example of $n$-dimensional function, that has a non-strict minimum at the origin, is demonstrated. A generalized upper and lower exhausters for this function at the origin are constructed, the necessary optimality conditions are obtained and discussed.

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Mathematics Subject Classification: 49J52.

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References

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