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A Quantitative Local Limit Theorem for Triangles in Random Graphs

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arxiv 1610.01281 v3 pith:6Y2LASGA submitted 2016-10-05 math.CO

classification math.CO
keywords limitlocaltheoremtrianglesdistributionrandomworkasymptotically
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abstract

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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  1. Computational Thresholds for Balanced and Fixed-Slice Independent Sets in Bipartite Graphs

    cs.DS 2026-08 accept novelty 7.0 of 10

    The balanced hard-core model on bounded-degree bipartite graphs has the same computational threshold as the ordinary hard-core model, and certain fixed-density slices are NP-hard to approximate.

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