Joint-moment conjecture for derivatives of quadratic Dirichlet L-functions

Let D(X)\mathcal{D}(X) be the set of fundamental discriminants dd with d<X|d|<X, and let L(s,χd)L(s,\chi_d) be the Dirichlet LL-function attached to the quadratic character χd\chi_d. For integers 0n1n20\leq n_1\leq n_2 and non-negative integers k1,k2k_1,k_2 not both zero, set k=k1+k2k=k_1+k_2. Joint-moment conjecture. As XX\to\infty,

1D(X)dD(X)L(n1)(1/2,χd)k1L(n2)(1/2,χd)k2akbk1,k2Sp(n1,n2)(logX)k(k+1)/2+k1n1+k2n2,\frac{1}{|\mathcal{D}(X)|}\sum_{d\in\mathcal{D}(X)}L^{(n_1)}(1/2,\chi_d)^{k_1}L^{(n_2)}(1/2,\chi_d)^{k_2}\sim a_k\,b_{k_1,k_2}^{Sp}(n_1,n_2)(\log X)^{k(k+1)/2+k_1n_1+k_2n_2},

where

ak=p \prime(11/p)k(k+1)/21+1/p((11/p)k+(1+1/p)k2+1p),a_k=\prod_{p\ \textup{\prime}}\frac{(1-1/p)^{k(k+1)/2}}{1+1/p}\left(\frac{(1-1/\sqrt p)^{-k}+(1+1/\sqrt p)^{-k}}{2}+\frac{1}{p}\right),

and bk1,k2Sp(n1,n2)b_{k_1,k_2}^{Sp}(n_1,n_2) is the symplectic random-matrix coefficient defined in the paper. This is the symplectic random-matrix prediction for joint moments in the quadratic Dirichlet family; the arithmetic factor aka_k is the same one occurring in conjectures for the moments of L(1/2,χd)L(1/2,\chi_d).

Sources & referencesView supporting material

Primary source

Julio C. Andrade and Christopher G. Best, “Joint moments of derivatives of characteristic polynomials of random symplectic and orthogonal matrices”, arXiv:2312.04981 (2023).

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