
TL;DR
This paper investigates the Lyapunov exponent and density of states for Jacobi operators, reducing complex questions to ergodic cases and applying results to specific non-ergodic models, including a probabilistic version of a key spectral theorem.
Contribution
It introduces a reduction technique for spectral questions of Jacobi operators to ergodic cases and extends the Denisov–Rakhmanov–Remling theorem to probabilistic settings.
Findings
Reduction of spectral questions to ergodic Jacobi operators
Application to non-ergodic models with specific coefficient functions
Development of a probabilistic version of a classical spectral theorem
Abstract
I study the Lyapunov exponent and the integrated density of states for general Jacobi operators. The main result is that questions about these, can be reduced to questions about ergodic Jacobi operators. Then, I apply this to and for not an integer, and to obtain a probabilistic version of the Denisov--Rakhmanov--Remling Theorem.
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.
