Critical non-standard central limit conjecture for the triangle count

At least 1 year old · documented by

Let TnT_n be the triangle count under the edge-triangle model with law Pn;α,h{\mathbb P}_{n;\alpha,h}, and let (αc,hc)(\alpha_c,h_c) be the critical parameter pair. At this pair, let mnΔ(αc,hc)m_n^\Delta(\alpha_c,h_c) be the mean-field centering term. Non-standard central limit conjecture for the triangle count. If (α,h)=(αc,hc)(\alpha,h)=(\alpha_c,h_c), then

6 Tnn−n26mnΔ(αc,hc)n3/2→dY6\,\frac{\frac{T_n}{n}-\frac{n^2}{6}m_n^\Delta(\alpha_c,h_c)}{n^{3/2}}\xrightarrow{\mathrm d}Y

with respect to Pn;αc,hc{\mathbb P}_{n;\alpha_c,h_c} as n→+∞n\to+\infty, where YY is a generalized Gaussian random variable with Lebesgue density

ℓc(y)∝e−38214y4.\ell^c(y)\propto e^{-\frac{3^8}{2^{14}}y^4}.

This conjecture describes the quartic, non-Gaussian fluctuation expected at criticality. It is part of the proposed extension of the mean-field asymptotics to the edge-triangle model, whose asymptotic equivalence remains an open problem.

References

Primary source

Elena Magnanini and Giacomo Passuello, “Statistics for the triangle density in ERGM and its mean-field approximation”, arXiv:2404.10106 (2024).

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.