A Generalized Discrete Bohr–Jessen-Type Theorem for the Epstein Zeta-Function
Antanas Laurinčikas and
Renata Macaitienė ()
Additional contact information
Antanas Laurinčikas: Institute of Mathematics, Faculty of Mathematics and Informatics, Vilnius University, Naugarduko Str. 24, LT-03225 Vilnius, Lithuania
Renata Macaitienė: Institute of Regional Development, Šiauliai Academy, Vilnius University, Vytauto Str. 84, LT-76352 Šiauliai, Lithuania
Mathematics, 2023, vol. 11, issue 4, 1-13
Abstract:
Suppose that Q is a positive defined n × n matrix, and Q [ x ̲ ] = x ̲ T Q x ̲ with x ̲ ∈ Z n . The Epstein zeta-function ζ ( s ; Q ) , s = σ + i t , is defined, for σ > n 2 , by the series ζ ( s ; Q ) = ∑ x ̲ ∈ Z n ∖ { 0 ̲ } ( Q [ x ̲ ] ) − s , and it has a meromorphic continuation to the whole complex plane. Let n ⩾ 4 be even, while φ ( t ) is an increasing differentiable function with a continuous monotonic bounded derivative φ ′ ( t ) such that φ ( 2 t ) ( φ ′ ( t ) ) − 1 ≪ t , and the sequence { a φ ( k ) } is uniformly distributed modulo 1. In the paper, it is obtained that 1 N # N ⩽ k ⩽ 2 N : ζ ( σ + i φ ( k ) ; Q ) ∈ A , A ∈ B ( C ) , for σ > n − 1 2 , converges weakly to an explicitly given probability measure on ( C , B ( C ) ) as N → ∞ .
Keywords: Epstein zeta-function; limit theorem; weak convergence; Haar measure (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/11/4/799/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/4/799/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:4:p:799-:d:1057939
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().