Volumes of unit balls of mixed sequence spaces
Henning Kempka, Jan Vyb\'iral

TL;DR
This paper derives a closed-form formula for the volume of unit balls in mixed norm sequence spaces, extending classical results and relevant for applications like group lasso in machine learning.
Contribution
It provides the first explicit formula for volumes of unit balls in mixed norm spaces, including real and complex cases, generalizing Dirichlet's classical results.
Findings
Derived a closed-form formula involving gamma functions
Extended classical volume calculations to mixed norm spaces
Applicable to real and complex sequence spaces
Abstract
The volume of the unit ball of the Lebesgue sequence space is very well known since the times of Dirichlet. We calculate the volume of the unit ball in the mixed norm , whose special cases are nowadays popular in machine learning under the name of group lasso. We consider the real as well as the complex case. The result is given by a closed formula involving the gamma function, only slightly more complicated than the one of Dirichlet. We close by an overview of open problems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
