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Metric Frobenius norms and inner products of matrices and linear maps

Title data

Herzog, Roland ; Köhne, Frederik ; Kreis, Leonie ; Schiela, Anton:
Metric Frobenius norms and inner products of matrices and linear maps.
In: Linear Algebra and its Applications. Vol. 727 (2025) . - pp. 112-128.
ISSN 0024-3795
DOI: https://doi.org/10.1016/j.laa.2025.08.005

Project information

Project title:
Project's official title
Project's id
SPP 2298: Theoretische Grundlagen von Deep Learning
No information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

The Frobenius norm is a frequent choice of norm for matrices. We provide a broader view on the Frobenius norm and Frobenius inner product for linear maps or matrices, and establish their dependence on inner products in the domain and co-domain spaces. These new concepts are termed the metric Frobenius norm and metric Frobenius inner product. We demonstrate that the classical Frobenius norm is merely one particular element of the family of metric Frobenius norms. We also show that the metric Frobenius norm has an interpretation similar to an operator norm of a linear map. While the usual operator norm is defined as the maximal norm response of the map w.r.t. inputs in the unit sphere, the Frobenius norm turns out to measure the average norm response.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Frobenius norm; Inner product; Trace estimation
Subject classification: MSC: 15A60; 15A63; 65F35
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics > Chair Applied Mathematics - Univ.-Prof. Dr. Anton Schiela
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 29 May 2026 04:47
Last Modified: 29 May 2026 04:47
URI: https://eref.uni-bayreuth.de/id/eprint/97764