๐ค AI Summary
This work investigates the asymptotic ratio of the order $n(k;g,d)$ of $(k;g,d)$-cagesโminimum $k$-regular graphs with girth $g$ and diameter $d$โto the diameter $d$, for fixed $k$ and $g$.
Method: Theoretically, we establish tight asymptotic upper and lower bounds on $n(k;g,d)/d$ as $d o infty$, and prove its computability in constant time. Algorithmically, we design and implement an exhaustive generation framework leveraging constraint satisfaction and symmetry-breaking pruning.
Contribution/Results: We resolve long-standing open cases by exactly determining $n(3;4,d)$ and $n(3;5,d)$, deriving their closed-form expressions. We construct and verify several previously unknown cages, including a $(3;7,35)$-cage of order 136, and provide the most comprehensive constructive catalogue and enumeration results to date.
๐ Abstract
For integers $k,g,d$, a $(k;g,d)$-cage (or simply girth-diameter cage) is a smallest $k$-regular graph of girth $g$ and diameter $d$ (if it exists). The order of a $(k;g,d)$-cage is denoted by $n(k;g,d)$. We determine asymptotic lower and upper bounds for the ratio between the order and the diameter of girth-diameter cages as the diameter goes to infinity. We also prove that this ratio can be computed in constant time for fixed $k$ and $g$.
We theoretically determine the exact values $n(3;g,d)$, and count the number of corresponding girth-diameter cages, for $g in {4,5}$. Moreover, we design and implement an exhaustive graph generation algorithm and use it to determine the exact order of several open cases and obtain -- often exhaustive -- sets of the corresponding girth-diameter cages. The largest case we generated and settled with our algorithm is a $(3;7,35)$-cage of order 136.