The critical orthogonal-group moment-of-moments conjecture

From papers

Let PN(θ)P_N(\theta) be the characteristic polynomial of a Haar-distributed orthogonal matrix in O(N)\mathrm{O}(N). For k>1k>1 and s=1/ks=1/\sqrt{k}, define

MoMO(N)(k,s):=EO(N)[(12π02πPN(θ)2sdθ)k].\operatorname{MoM}_{\mathrm{O}(N)}(k,s):=\mathbb{E}_{\mathrm{O}(N)}\left[\left(\frac{1}{2\pi}\int_0^{2\pi}|P_N(\theta)|^{2s}\,d\theta\right)^k\right].

Critical orthogonal-group conjecture. For every k>1k>1 with s=1/ks=1/\sqrt{k},

MoMO(N)(k,s)k1Γ(11/k)k(12π02π1e2iθk+k2dθ)[G(1+1/k)2G(1+2/k)]kNlogN.\operatorname{MoM}_{\mathrm{O}(N)}(k,s)\sim\frac{k-1}{\Gamma(1-1/k)^k}\left(\frac{1}{2\pi}\int_0^{2\pi}|1-e^{2i\theta}|^{k+\sqrt{k}-2}\,d\theta\right)\left[\frac{G(1+1/\sqrt{k})^2}{G(1+2/\sqrt{k})}\right]^kN\log N.

The prediction applies the GMC critical-moment heuristic to the non-stationary Gaussian field associated with orthogonal characteristic polynomials. Its validity is not established in the source, particularly near the exceptional points θ=0,π\theta=0,\pi.

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Sources & referencesView supporting material

Primary source

Jonathan P. Keating and Mo Dick Wong, “On the critical-subcritical moments of moments of random characteristic polynomials: a GMC perspective”, arXiv:2012.15851 (2022).

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