Surface effects in dense random graphs with sharp edge constraint
classification
🧮 math.CO
cond-mat.stat-mech
keywords
surfaceconstraintedgerandomeffectsgraphnumbersigma
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We show that the random number $T_n$ of triangles in a random graph on $n$ vertices, with a strict constraint on the total number of edges, admits an expansion $T_n = an^3 + bn^2 + F_n$, where $a$ and $b$ are numbers, with the mean $\langle F_n \rangle = O(n)$ and the standard deviation $\sigma(T_n) =\sigma(F_n)= O(n^{3/2})$. The presence of a `surface term' $bn^2$ has a significance analogous to the macroscopic surface effects of materials, and is missing in the model where the edge constraint is removed. We also find the surface effect in other graph models using similar edge constraints.
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