Complete Dynamical Evaluation of the Characteristic Polynomial of Binary Quantum Graphs
Jon Harrison, Tori Hudgins

TL;DR
This paper calculates the variance of characteristic polynomial coefficients for binary quantum graphs using a dynamical approach, linking spectral statistics to periodic orbits without semiclassical approximation, revealing universal behavior in large graphs.
Contribution
It introduces a novel dynamical method to evaluate spectral statistics of quantum graphs directly in the large-graph limit, connecting pseudo orbit structures to spectral variance.
Findings
Variance depends on primitive pseudo orbit sets with/without self-intersections.
Pseudo orbit formula approaches a universal constant in the semiclassical limit.
Two arguments show other pseudo orbits do not contribute to the variance.
Abstract
We evaluate the variance of coefficients of the characteristic polynomial for binary quantum graphs using a dynamical approach. This is the first example where a spectral statistic can be evaluated in terms of periodic orbits for a system with chaotic classical dynamics without taking the semiclassical limit, which here is the limit of large graphs. The variance depends on the sizes of particular sets of primitive pseudo orbits (sets of distinct primitive periodic orbits): the set of primitive pseudo orbits without self-intersections and the sets of primitive pseudo orbits with a fixed number of self-intersections, all of which consist of two arcs of the pseudo orbit crossing at a single vertex. To show other pseudo orbits do not contribute we give two arguments. The first is based on a reduction of the variance formula from a sum over pairs of primitive pseudo orbits to a sum over…
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Taxonomy
TopicsQuantum chaos and dynamical systems · Molecular spectroscopy and chirality · Quantum optics and atomic interactions
