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Orthant-Strictly Monotonic Norms, Generalized Top-k and k-Support Norms and the ℓ0 Pseudonorm

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Abstract

The so-called ℓ0 pseudonorm on the Euclidean space Rd counts the number of nonzero components of a vector. We say that a sequence of norms is strictly increasingly graded (with respect to the ℓ0 pseudonorm) if it is nondecreasing and that the sequence of norms of a vector x becomes stationary exactly at the index ℓ0(x). In this paper, with any (source) norm, we associate sequences of generalized top-k and k-support norms, and we also introduce the new class of orthant-strictly monotonic norms (that encompasses the ℓp norms, but for the extreme ones). Then, we show that an orthant-strictly monotonic source norm generates a sequence of generalized top-k 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 ℓ0 pseudonorm are expressed by means of the difference of two norms. Our results rely on the study of orthant-strictly monotonic norms.

Original languageEnglish
Pages (from-to)743-769
Number of pages27
JournalJournal of Convex Analysis
Volume30
Issue number3
Publication statusPublished - 1 Jan 2023

Keywords

  • generalized k-support norm
  • generalized top-k norm
  • orthant-strictly monotonic norm
  • strictly graded sequence of norms
  • ℓ pseudonorm

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