On commutators of compact operators via block tridiagonalization: generalizations and limitations of Anderson's approach
Jireh Loreaux, Sasmita Patnaik, Srdjan Petrovic, Gary Weiss

TL;DR
This paper advances the understanding of whether every compact operator can be expressed as a commutator of compact operators, by generalizing Anderson's techniques, analyzing obstructions, and exploring matrix form constraints.
Contribution
It extends Anderson's methods to identify new classes of compact commutators and establishes conditions and obstructions for the Pearcy--Topping problem.
Findings
New classes of compact operators identified as commutators.
Obstructions to extending Anderson's techniques analyzed.
Necessary conditions involving singular numbers and ideal constraints provided.
Abstract
We offer a new perspective and some advances on the 1971 Pearcy--Topping problem: Is every compact operator a commutator of compact operators? Our goal is to analyze and generalize the 1970's work in this area of Joel Anderson combined with the work of the last named author of this paper. We reduce the general problem to a simpler sequence of finite matrix equations with norm constraints, while at the same time developing strategies for counterexamples. Our approach is to ask which compact operators are commutators of compact operators ; and to analyze the implications of Joel Anderson's contributions to this problem, which will yield a generalization of his method. By extending the techniques of Anderson [1] we obtain new classes of operators that are commutators of compact operators beyond those obtained in [17] and [2]. And by employing the techniques of the last…
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
TopicsHolomorphic and Operator Theory · Approximation Theory and Sequence Spaces · Matrix Theory and Algorithms
