English

Multifold Convolutions, Generating Functions and 1d Random Walks

Combinatorics 2025-01-06 v3 Probability

Abstract

We consider multifold convolutions of a combinatorial sequence (an)n=0(a_n)_{n=0}^{\infty}: namely, for each kNk \in \N the kk-fold convolution is Mn(k)(a)=j1++jk=naj1ajk\mathcal{M}^{(k)}_n(\boldsymbol{a}) = \sum_{j_1+\dots+j_k=n} a_{j_1} \cdots a_{j_k}. Let CnC_n be the Catalan numbers, and let BnB_n be the central binomial coefficients. Then for random Dyck paths or simple random walk bridges, the multifold convolutions give moments of returns to the origin, using the stars-and-bars problem. There are well-known explicit formulas for the multifold convolutions of CnC_n and BnB_n. But even for combinatorial sequences Bn2B_n^2 and Bn3B_n^3, one may determine asymptotics of multifold convolutions for large nn. We also discuss large deviations: In a second part of the paper we consider an elementary version of the circle method for calculating asymptotics using complex analysis.

Keywords

Cite

@article{arxiv.2410.22486,
  title  = {Multifold Convolutions, Generating Functions and 1d Random Walks},
  author = {Timothy Li and Shannon Starr},
  journal= {arXiv preprint arXiv:2410.22486},
  year   = {2025}
}

Comments

17 pages, 2 figures, added a Bahadur-Rao reference

R2 v1 2026-06-28T19:40:20.438Z