Abstract
The so-called pseudonorm on the Euclidean space counts the number of nonzero components of a vector. We say that a sequence of norms is strictly increasingly graded (with respect to the pseudonorm) if it is nondecreasing and that the sequence of norms of a vector becomes stationary exactly at the index . In this paper, with any (source) norm, we associate sequences of generalized top- and -support norms, and we also introduce the new class of orthant-strictly monotonic norms (that encompasses the norms, but for the extreme ones). Then, we show that an orthant-strictly monotonic source norm generates a sequence of generalized top- norms which is strictly increasingly graded. With this, we provide a systematic way to generate sequences of norms with which the level sets of the pseudonorm are expressed by means of the difference of two norms. Our results rely on the study of orthant-strictly monotonic norms.
Suggested citation
J.-P. Chancelier, M. De Lara. “Orthant-Strictly Monotonic Norms, Generalized Top-k and k-Support Norms and the l_(0) Pseudonorm.” Journal of Convex Analysis 30 (2023), No. 3, 743–769.
Copyright Heldermann Verlag 2023