A Refined Conjecture for the Variance of Gaussian Primes across Sectors

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Ryan C. Chen - , Princeton University (Author)
  • Yujin H. Kim - , Columbia University (Author)
  • Jared D. Lichtman - , Dartmouth College (Author)
  • Steven J. Miller - , Williams College (Author)
  • Alina Shubina - , Williams College (Author)
  • Shannon Sweitzer - , University of California at Riverside (Author)
  • Ezra Waxman - , TUD Dresden University of Technology, Charles University Prague, Tel Aviv University (Author)
  • Eric Winsor - , University of Michigan, Ann Arbor (Author)
  • Jianing Yang - , Colby College (Author)

Abstract

We derive a refined conjecture for the variance of Gaussian primes across sectors, with a power saving error term, by applying the L-functions Ratios Conjecture. We observe a bifurcation point in the main term, consistent with the Random Matrix Theory (RMT) heuristic previously proposed by Rudnick and Waxman. Our model also identifies a second bifurcation point, undetected by the RMT model, that emerges upon taking into account lower order terms. For sufficiently small sectors, we moreover prove an unconditional result that is consistent with our conjecture down to lower order terms.

Details

Original languageEnglish
Pages (from-to)33-53
Number of pages21
JournalExperimental mathematics
Volume32
Issue number1
Publication statusPublished - 2023
Peer-reviewedYes

Keywords

ASJC Scopus subject areas

Keywords

  • Gaussian Primes, Hecke L-functions, Random Matrix Theory, Ratios Conjecture

Library keywords