Average mixing matrix of trees
Combinatorics
2017-09-26 v1 Quantum Physics
Abstract
We investigate the rank of the average mixing matrix of trees, with all eigenvalues distinct. The rank of the average mixing matrix of a tree on vertices with distinct eigenvalues is upper-bounded by . Computations on trees up to vertices suggest that the rank attains this upper bound most of the times. We give an infinite family of trees whose average mixing matrices have ranks which are bounded away from this upper bound. We also give a lower bound on the rank of the average mixing matrix of a tree.
Keywords
Cite
@article{arxiv.1709.07907,
title = {Average mixing matrix of trees},
author = {Chris Godsil and Krystal Guo and John Sinkovic},
journal= {arXiv preprint arXiv:1709.07907},
year = {2017}
}
Comments
18 pages, 2 figures, 3 tables