The aim of the present paper is twofold. On one hand, we show that the strong convexity of a set is equivalent to the semiconcavity of its associated farthest distance function. On the other hand, we establish that the farthest distance of a point from a strongly convex set is the minimum of farthest distances of the given point from suitable closed balls separating the set and the point. Various other results on strongly convex sets are also provided.

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

Florent Nacry

Lab. de Modélisation Pluridisciplinaire et Simulations, Université de Perpignan, France, Perpignan, France

florent.nacry@univ-perp.fr

Lionel Thibault

Inst. Montpelliérain A. Grothendieck, Université de Montpellier, France, France
and: Centro de Modelamiento Matematico, Universidad de Chile, Santiago, Chile

lionel.thibault@umontpellier.fr

F. Nacry, V. A. T. Nguyen, L. Thibault. “Farthest Distance Function to Strongly Convex Sets.” Journal of Convex Analysis 30 (2023), No. 4, 1217–1240.