A Quantitative Local Limit Theorem for Triangles in Random Graphs
classification
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keywords
limitlocaltheoremtrianglesdistributionrandomworkasymptotically
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In this paper we prove a quantiative local limit theorem for the distribution of the number of triangles in the Erd\H{o}s-Renyi random graph $G(n,p)$, for a fixed $p\in (0,1)$. This proof is an extension of the previous work of Gilmer and Kopparty, who proved that the local limit theorem held asymptotically for triangles. Our work gives bounds on the $\ell^1$ and $\ell^\infty$ distance of the triangle distribution from a suitable discrete normal.
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