A strong operator topology adiabatic theorem
Alexander Elgart, Jeffrey H. Schenker

TL;DR
This paper establishes an adiabatic theorem for spectral data evolution under weak perturbations in systems lacking an intrinsic time scale, with convergence types depending on the function class.
Contribution
It introduces a new adiabatic theorem applicable to systems without intrinsic time scales, covering a broader class of spectral functions and projections.
Findings
Norm convergence for continuous functions of the Hamiltonian.
Strong operator topology convergence for spectral projections, including embedded eigenvalues.
Applicable to systems with weak additive perturbations.
Abstract
We prove an adiabatic theorem for the evolution of spectral data under a weak additive perturbation in the context of a system without an intrinsic time scale. For continuous functions of the unperturbed Hamiltonian the convergence is in norm while for a larger class functions, including the spectral projections associated to embedded eigenvalues, the convergence is in the strong operator topology.
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.
