Important properties such as differentiability and convexity of symmetric functions in Rn\mathbb{R}^{n} can be transferred to the corresponding spectral functions and vice-versa. Continuing to built on this line of research, we hereby prove that a spectral function F ⁣:SnR{+}F\colon {\bf S}^n \rightarrow \mathbb{R\cup \{+\infty \}} is prox-regular if and only if the underlying symmetric function f ⁣:RnR{+}f\colon\mathbb{R}^{n}\rightarrow \mathbb{R\cup \{+\infty \}} is prox-regular. Relevant properties of symmetric sets are also discussed.

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

Aris Daniilidis

Dep. de Matemàtiques C1/308, Universitat Autònoma de Barcelona, 08193 Bellaterra - Cerdanyola del Vallès, Spain

arisd@mat.uab.es

Adrian Lewis

School of Operations Research and Industrial Engineering, Cornell University, Ithaca, NY 14853, U.S.A.

aslewis@orie.cornell.edu

Hristo Sendov

Dept. of Statistical and Actuarial Sciences, The University of Western Ontario, London, Ontario, Canada

hssendov@stats.uwo.ca

A. Daniilidis, A. Lewis, J. Malick, H. Sendov. “Prox-Regularity of Spectral Functions and Spectral Sets.” Journal of Convex Analysis 15 (2008), No. 3, 547–560.