Error bounds are central objects in optimization theory and its applications. They were for a long time restricted only to the theory before becoming over the course of time a field by itself. This paper is devoted to the study of error bounds of a general inequality defined by a proper lower semicontinuous function on an Asplund space. If one drops the convexity assumption, the dual characterization of error bounds for a general inequality may not be valid, but even in this case, several dual necessary conditions are still obtained in terms of Fréchet/Mordukhovich subdifferentials of the concerned function at points in the solution set. Moreover, for an inequality defined by a convex-composite function that is to say by a function which is the composition of a convex function with a smooth mapping, such dual conditions also turn out to be sufficient to have the error bound property. Our work is an extension of the results on dual characterizations of convex inequalities to the possibly non-convex case.

Contact details are reproduced from the original publication and may be historical.

Zhou Wei

Hebei Key Laboratory of Machine Learning and Computational Intelligence,
College of Mathematics and Information Science, Hebei University, Baoding, China

weizhou@hbu.edu.cn

Jen-Chih Yao

Research Center for Interneural Computing, China Medical University Hospital, Taichung, Taiwan
and: China Medical University, Taichung, Taiwan

yaojc@mail.cmu.edu.tw
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Z. Wei, M. Théra, J.-C. Yao. “On Error Bounds of Inequalities in Asplund Spaces.” Journal of Convex Analysis 33 (2026), No. 3&4, 1077–1094. https://doi.org/10.68381/jca33057