Spectral Theory of Self-adjoint Finitely Cyclic Operators and Introduction to Matrix Measure $L^2$-spaces
Marcin Moszy\'nski

TL;DR
This paper develops a spectral theory for finitely cyclic self-adjoint operators, introducing matrix measure $L^2$ spaces and proving a representation theorem linking these operators to multiplication operators in such spaces.
Contribution
It provides a detailed introduction to matrix measure $L^2$ spaces and establishes a new representation theorem for finitely cyclic self-adjoint operators.
Findings
Representation of finitely cyclic self-adjoint operators as multiplication operators.
Introduction of matrix measure $L^2$ spaces for spectral analysis.
Analysis of spectral properties like absolute continuity.
Abstract
We study finitely cyclic self-adjoint operators in a Hilbert space, i.e. self-adjoint operators that posses such a finite subset in the domain that the orbits of all its elements with respect to the operator are linearly dense in the space. One of the main goals here is to obtain the representation theorem for such operators in a form analogous to the one well-known in the cyclic self-adjoint operators case. To do this, we present here a detailed introduction to matrix measures, to the matrix measure spaces, and to the multiplication by scalar functions operators in such spaces. This allows us to formulate and prove in all the details the less known representation result, saying that the finitely cyclic self-adjoint operator is unitary equivalent to the multiplication by the identity function on in the appropriate matrix measure space. We study also some…
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
TopicsSpectral Theory in Mathematical Physics · Numerical methods in inverse problems · Holomorphic and Operator Theory
