Limit theorems for Andrews’ restricted overpartitions

Abstract The study of overpartitions in recent years has been used to great effect in various fields, including hypergeometric series, q -series identities, and mathematical physics. We investigate the limiting distributions of the number of parts in a family of overpartitions of n , introduced by Andrews, where parts are counted with two different weights. Using Andrews’ identities and the saddle-point method, we establish two central limit theorems (CLTs) for the number of parts as $$n\rightarrow \infty ,$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>→</mml:mo> <mml:mi>∞</mml:mi> <mml:mo>,</mml:mo> </mml:mrow> </mml:math> corresponding to these weightings. We also derive explicit formulas for the mean and variance in each case.

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Publication Details

Journal
The Ramanujan Journal
Published
2026-02-17
DOI
https://doi.org/10.1007/s11139-025-01313-1
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
0.00
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article

Limit theorems for Andrews’ restricted overpartitions

Wei‐Lun Tsai, Tapas Bhowmik, John Lehman, Alex Cao et al.
The Ramanujan Journal
Mathematical functions and polynomials
article

Limit theorems for Andrews’ restricted overpartitions

Wei‐Lun Tsai, Tapas Bhowmik, John Lehman, Alex Cao, Jack Frew
article en

Abstract

Abstract The study of overpartitions in recent years has been used to great effect in various fields, including hypergeometric series, q -series identities, and mathematical physics. We investigate the limiting distributions of the number of parts in a family of overpartitions of n , introduced by Andrews, where parts are counted with two different weights. Using Andrews’ identities and the saddle-point method, we establish two central limit theorems (CLTs) for the number of parts as $$n\rightarrow \infty ,$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>→</mml:mo> <mml:mi>∞</mml:mi> <mml:mo>,</mml:mo> </mml:mrow> </mml:math> corresponding to these weightings. We also derive explicit formulas for the mean and variance in each case.

The Ramanujan JournalVol. 69(3)
University of California, Santa Barbara (US), University of South Carolina (US), Durham University (GB), The Ohio State University (US)
Openalex Percentile: Top 50%
Mathematical functions and polynomials
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