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March 10, 2026Journal of the London Mathematical Society2 citationsOpen Access

On moments of the derivative of CUE characteristic polynomials and the Riemann zeta function

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NSNicholas SimmFWFei Wei

Key Points

  • To analyze the moments of the derivative of characteristic polynomials and their relation to the Riemann zeta function.
  • Studied characteristic polynomials of Haar-distributed unitary matrices.
  • Derived explicit formulas for complex-valued moments within the unit disc.
  • Investigated connections to the derivative of the Riemann zeta function away from the critical line.
  • Proposed conjectures on noninteger moments off the critical line.
  • Derived formulas for positive integer moments consistent with random matrix results under the Lindelöf hypothesis.
  • Obtained asymptotic formulas for moments in the microscopic regime using a determinant and the finite temperature Bessel kernel.

Abstract

Abstract We study the derivative of the characteristic polynomial of Haar‐distributed unitary matrices. We obtain new explicit formulae for complex‐valued moments when the spectral variable is inside the unit disc, in the limit . These formulae are expressed in terms of the confluent hypergeometric function of the first kind. We explore the connection between these moments and those of the derivative of the Riemann zeta function away from the critical line. Under the Lindelöf hypothesis, we prove that all positive integer moments agree with our random matrix results up to a well‐known arithmetic factor. Inspired by this finding, we propose a conjecture on the asymptotics of noninteger moments of the derivative of the Riemann zeta function off the critical line. Within random matrix theory, we also investigate the microscopic regime where the spectral variable satisfies for a fixed constant . We obtain an asymptotic formula for the moments in this regime as a determinant involving the finite temperature Bessel kernel, which reduces to the Bessel kernel when .

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Cite This Study

Simm et al. (2026) studied this question.

synapsesocial.com/papers/69af95a470916d39fea4d5e3https://doi.org/10.1112/jlms.70487
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