Characteristic Polynomials of Orthogonal and Symplectic Random Matrices, Jacobi Ensembles & L-functions

التفاصيل البيبلوغرافية
العنوان: Characteristic Polynomials of Orthogonal and Symplectic Random Matrices, Jacobi Ensembles & L-functions
المؤلفون: Gunes, Mustafa Alper
سنة النشر: 2022
المجموعة: Mathematics
مصطلحات موضوعية: Mathematics - Probability
الوصف: Starting from Montgomery's conjecture, there has been a substantial interest on the connections of random matrix theory and the theory of L-functions. In particular, moments of characteristic polynomials of random matrices have been considered in various works to estimate the asymptotics of moments of L-function families. In this paper, we first consider joint moments of the characteristic polynomial of a symplectic random matrix and its second derivative. We obtain the asymptotics, along with a representation of the leading order coefficient in terms of the solution of a Painleve equation. This gives us the conjectural asymptotics of the corresponding joint moments over families of Dirichlet L-functions. In doing so, we compute the asymptotics of a certain additive Jacobi statistic, which could be of independent interest in random matrix theory. Finally, we consider a slightly different type of joint moment that is the analogue of an average considered over the unitary group in various works before. We obtain the asymptotics and the leading order coefficient explicitly.
Comment: Improvements in exposition and references added. To appear in Random Matrices: Theory and Applications
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2208.08827
رقم الأكسشن: edsarx.2208.08827
قاعدة البيانات: arXiv