On Spatial Conditioning of the Spectrum of Discrete Random Schr\"odinger Operators
Abstract
Consider a random Schr\"odinger-type operator of the form H:=-HX+V+ acting on a general graph G=( V, E), where HX is the generator of a Markov process X on G, V is a deterministic potential with sufficient growth (so that H has a purely discrete spectrum), and is a random noise with at-most-exponential tails. We prove that H's eigenvalue point process is number rigid in the sense of Ghosh and Peres (Duke Math. J. 166 (2017), no. 10, 1789--1858); that is, the number of eigenvalues in any bounded domain B⊂ C is determined by the configuration of eigenvalues outside of B. Our general setting allows to treat cases where X could be non-symmetric (hence H is non-self-adjoint) and has long-range dependence. Our strategy of proof consists of controlling the variance of the trace of the semigroup e-t H using the Feynman-Kac formula.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.