The so-called ℓ0\ell_0 pseudonorm on the Euclidean space Rd\mathbb{R}^d 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\ell_0 pseudonorm) if it is nondecreasing and that the sequence of norms of a vector xx becomes stationary exactly at the index ℓ0(x)\ell_0(x). In this paper, with any (source) norm, we associate sequences of generalized top-kk and kk-support norms, and we also introduce the new class of orthant-strictly monotonic norms (that encompasses the ℓp\ell_p norms, but for the extreme ones). Then, we show that an orthant-strictly monotonic source norm generates a sequence of generalized top-kk 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\ell_0 pseudonorm are expressed by means of the difference of two norms. Our results rely on the study of orthant-strictly monotonic norms.

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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. https://doi.org/10.68381/jca30036