Conjectured centered fluctuation limit for the Cramér–von Mises statistic

Let HH be the random matrix and let β\beta and the statistic AN\mathcal{A}_N be as in Theorem. Let ZkZ_k, k1k\geqslant 1, denote the random variables appearing in that theorem, and let aβa_\beta be the constant defined there. Centered fluctuation conjecture. Under the assumptions of Theorem,

N2(ANEAN)d1βπ2k=1(1k(Zk21)1k(k+2)ZkZk+2)+2ββπ2k=1(k+24k3/2(k+1)Z2k14kk+1Z2k+2)+aβ.N^2(\mathcal{A}_N-\mathbb{E}\mathcal{A}_N)\overset{d}{\longrightarrow} \frac{1}{\beta\pi^2}\sum_{k=1}^\infty\left(\frac{1}{k}(Z_k^2-1)-\frac{1}{\sqrt{k(k+2)}}Z_kZ_{k+2}\right)+\frac{2-\beta}{\sqrt{\beta}\pi^2}\sum_{k=1}^\infty\left(\frac{k+2}{4k^{3/2}(k+1)}Z_{2k}-\frac{1}{4k\sqrt{k+1}}Z_{2k+2}\right)+a_\beta.

This conjecture is motivated by simulations of the expectation and fluctuation of the Cramér–von Mises statistic; the source does not provide a proof or a resolution, so the conjecture remains open.

Sources & referencesView supporting material

Primary source

Zhigang Bao and Yukun He, “On Cramér-von Mises statistic for the spectral distribution of random matrices”, arXiv:1911.04151 (2020).

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