Local central limit theorem for general connected subgraph counts in the sparse regime

Establish a local central limit theorem for the number of labelled copies of every fixed connected graph H in the sparse binomial random graph G_{n,p} when p=o(1), under the conditions p\gg n^{-1/m(H)} and n^2(1-p)\gg1, assuming that the corresponding central limit theorem holds.

Background

The paper studies local central limit theorems for subgraph counts X_H in G_{n,p}. Gilmer and Kopparty conjectured that, for connected H, validity of a central limit theorem should imply validity of a local central limit theorem. Previous work had confirmed the conjecture for constant p, while the sparse regime p=o(1) remained unresolved in general.

The present paper proves the conjecture for clique counts H=K_r over essentially the full range n{-1/m(K_r)}\ll p\le 1/2. Thus, the unresolved problem concerns extending the result from cliques to arbitrary fixed connected graphs in the sparse regime.

References

Following the work of Berkowitz, Sah and Sawhney confirmed this conjecture for every constant p, leaving the regime where p=o(1) open.

A Local Central Limit Theorem for Clique Counts in Sparse Random Graphs  (2608.16882 - Antonir et al., 17 Aug 2026) in Abstract; Section 1, Introduction