Matrix inequalities for the difference between arithmetic mean and harmonic mean
Wenshi Liao, Junliang Wu

TL;DR
This paper generalizes inequalities comparing the arithmetic and harmonic means for scalars and matrices, including new bounds involving the Hilbert-Schmidt norm and determinant.
Contribution
It introduces novel scalar and matrix inequalities for the difference between arithmetic and harmonic means, extending existing results with new bounds and norm-based inequalities.
Findings
New inequalities for scalar and matrix means
Bounds involving Hilbert-Schmidt norm and determinant
Generalizations of existing mean inequalities
Abstract
Motivated by the refinements and reverses of arithmetic-geometric mean and arithmetic-harmonic mean inequalities for scalars and matrices, in this article, we generalize the scalar and matrix inequalities for the difference between arithmetic mean and harmonic mean. In addition, relevant inequalities for the Hilbert-Schmidt norm and determinant are established.
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.
Taxonomy
TopicsMathematical Inequalities and Applications · Matrix Theory and Algorithms · Functional Equations Stability Results
