On the convex approximation of nonlinear inequalities
Author:
Ho
angtuy Tuy a
angtuy Tuy a
| Affiliation: | a Inst. de Math, Hanoi, R publique D mocratique du Vietnam |
DOI:
10.1080/02331887408801180
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
PDF
(English)
Previously published as:
Mathematische Operationsforschung Statistik
(0047-6277)
until 1977
Previously published as:
Series Statistics
(0323-3944)
until 1985
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Abstract
The present paper deals with sufficient conditions for a system of convex incqualities to be a local approximation of a given arbitrary system in the following sense: the solution set of the first system is tangential to the solution set of the second one at the point under consideration. a criterion is proposed. For the case, in which the given system is of then form x ∈ D, H(x) ∈ N, where D is a subset of a certain linear topological space X, H a mapping from D into Rk, N a closed convex cone in Rk. Form this eriterion an extremum principle is deduced, which contains as particular cases certain well-known results such as the clasical KUHN-TUCKER theorem, the Halkin's theorein [2], the Mangasarian-Fromowitz's theorem [3]. Some other results (containing a well-known theorem of Ljusternik [7]) are obtained in the case where H is a mapping from D into a Banach space Y.
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