Upper tail large deviations for arithmetic progressions in a random set

  • Bhaswar B. Bhattacharya
  • , Shirshendu Ganguly
  • , Xuancheng Shao
  • , Yufei Zhao

Producción científica: Articlerevisión exhaustiva

12 Citas (Scopus)

Resumen

Let Xk denote the number of k-term arithmetic progressions in a random subset of Z/NZ or {1,..., N} where every element is included independently with probability p. We determine the asymptotics of log P(Xk ≥ (1 + δ)EXk ) (also known as the large deviation rate) where p → 0 with p ≥ Nck for some constant ck > 0, which answers a question of Chatterjee and Dembo. The proofs rely on the recent nonlinear large deviation principle of Eldan, which improved on earlier results of Chatterjee and Dembo. Our results complement those of Warnke, who used completely different methods to estimate, for the full range of p, the large deviation rate up to a constant factor.

Idioma originalEnglish
Páginas (desde-hasta)167-213
Número de páginas47
PublicaciónInternational Mathematics Research Notices
Volumen2020
N.º1
DOI
EstadoPublished - 2020

Nota bibliográfica

Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press. All rights reserved.

Financiación

FinanciadoresNúmero del financiador
National Science Foundation (NSF)1362326

    ASJC Scopus subject areas

    • General Mathematics

    Huella

    Profundice en los temas de investigación de 'Upper tail large deviations for arithmetic progressions in a random set'. En conjunto forman una huella única.

    Citar esto