Abstract
We use asymptotic analysis to describe in a more systematic way the behavior at the infinity of functions in the convex and quasiconvex case. Starting from the formulae for the first- and second-order asymptotic function in the convex case, we introduce similar notions suitable for dealing with quasiconvex functions. Afterward, by using such notions, a class of quasiconvex vector mappings under which the image of a closed convex set is closed, is introduced; we characterize the nonemptiness and boundedness of the set of minimizers of any lsc quasiconvex function; finally, we also characterize boundedness from below, along lines, of any proper and lsc function.
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Acknowledgments
The authors want to express their gratitude to the referee for improvements he/she has suggested. This research, for the first author, was partially supported by CONICYT-Chile through FONDECYT 115-0973 and BASAL projects, CMM, Universidad de Chile; for the third author, his research was supported by CONICYT-Chile through Fondecyt PostDoctorado 3160205. Part of this work was carried out while the second author was visiting the Departamento de Ingeniería Matemática, Universidad de Concepción, Chile, from August 2013 to January 2014, and during July, 2014, supported in part by CONICYT through the Programa Atracción de Capital Humano Avanzado del Extranjero, MEC 2012, project 8012033, and FONDECYT 112-0980.
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Communicated by Jonathan Michael Borwein.
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Flores-Bazán, F., Hadjisavvas, N., Lara, F. et al. First- and Second-Order Asymptotic Analysis with Applications in Quasiconvex Optimization. J Optim Theory Appl 170, 372–393 (2016). https://doi.org/10.1007/s10957-016-0938-6
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DOI: https://doi.org/10.1007/s10957-016-0938-6
Keywords
- Quasiconvexity
- Asymptotic functions
- Second-order asymptotic functions and cones
- Optimality conditions
- Nonconvex optimization