Adjacency Matrix
Periodicity with respect to the adjacency matrix is trickier, in that the eigenvalue support of a periodic vertex may not be integral. In the second case of Theorem 1, the eigenvalues in $S(v)$ are of the form \[\theta_r = \frac{a+b_r\sqrt{\Delta}}{2}\] for some fixed integer $a\ne 0$ and some integer $b_r$. Thus, if $v$ is periodic, then either
- the polynomial $\psi_v(t)$ splits into linear factors, or
- the polynomial $\psi_v(t)$ has at most one linear factor, and the rest factors are quadratic with the same coefficient of $t$.
We did the calculation for connected graphs on up to eight vertices. Compared to the Laplacian case, there are a lot fewer examples.
# vertices | # connected graphs | # with periodic vertices | proportion |
1 | 1 | 1 | 1 |
2 | 1 | 1 | 1 |
3 | 2 | 2 | 1 |
4 | 6 | 3 | 0.500 |
5 | 21 | 7 | 0.333 |
6 | 112 | 10 | 0.089 |
7 | 853 | 23 | 0.027 |
8 | 11117 | 40 | 0.004 |
Here are all the examples we have found. Again we store the full data in this file.