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A randomized construction of high girth regular graphs
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abstract
We describe a new random greedy algorithm for generating regular graphs of high girth: Let $k\geq 3$ and $c \in (0,1)$ be fixed. Let $n \in \mathbb{N}$ be even and set $g = c \log_{k-1} (n)$. Begin with a Hamilton cycle $G$ on $n$ vertices. As long as the smallest degree $\delta (G)<k$, choose, uniformly at random, two vertices $u,v \in V(G)$ of degree $\delta(G)$ whose distance is at least $g-1$. If there are no such vertex pairs, abort. Otherwise, add the edge $uv$ to $E(G)$. We show that with high probability this algorithm yields a $k$-regular graph with girth at least $g$. Our analysis also implies that there are $\left( \Omega (n) \right)^{kn/2}$ labeled $k$-regular $n$-vertex graphs with girth at least $g$.
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Cited by 1 Pith paper
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Stable valleys in the glassy landscape of a low-density parity-check (LDPC) code
For the Tanner-Hamming [7,4,3] LDPC model on a high-girth random regular graph, low-energy valleys separate canonical and microcanonical instability, yielding ensemble inequivalence in a non-random, unfrustrated spin glass.
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