Nonlinear Versions of a Vector Maximal Principle
Mihai Turinici

TL;DR
This paper develops nonlinear extensions of a vector maximality principle using advanced ordering principles, broadening the theoretical framework for vector optimization.
Contribution
It introduces nonlinear versions of a known vector maximality principle based on the Brezis-Browder ordering principle and its pseudometric variant.
Findings
Extended the vector maximality principle to nonlinear contexts
Utilized the Brezis-Browder ordering principle and its pseudometric version
Provided new theoretical tools for vector optimization
Abstract
Some nonlinear extensions of the vector maximality statement established by Goepfert, Tammer and Zalinescu [Nonl. Anal., 39 (2000), 909-922] are given. Basic instruments for these are the Brezis-Browder ordering principle [Advances Math., 21 (1976), 355-364] and a (pseudometric) version of it obtained in Turinici [Demonstr. Math., 22 (1989), 213-228].
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