Multifold Convolutions, Generating Functions and 1d Random Walks

Fuente: arXiv
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Main Authors: Li, Timothy, Starr, Shannon
Format: Preprint
Published: 2024
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author Li, Timothy
Starr, Shannon
author_facet Li, Timothy
Starr, Shannon
contents We consider multifold convolutions of a combinatorial sequence $(a_n)_{n=0}^{\infty}$: namely, for each $k \in \N$ the $k$-fold convolution is $\mathcal{M}^{(k)}_n(\boldsymbol{a}) = \sum_{j_1+\dots+j_k=n} a_{j_1} \cdots a_{j_k}$. Let $C_n$ be the Catalan numbers, and let $B_n$ 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 $C_n$ and $B_n$. But even for combinatorial sequences $B_n^2$ and $B_n^3$, one may determine asymptotics of multifold convolutions for large $n$. 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_22486
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multifold Convolutions, Generating Functions and 1d Random Walks
Li, Timothy
Starr, Shannon
Combinatorics
Probability
05A15, 60G50, 60F10
We consider multifold convolutions of a combinatorial sequence $(a_n)_{n=0}^{\infty}$: namely, for each $k \in \N$ the $k$-fold convolution is $\mathcal{M}^{(k)}_n(\boldsymbol{a}) = \sum_{j_1+\dots+j_k=n} a_{j_1} \cdots a_{j_k}$. Let $C_n$ be the Catalan numbers, and let $B_n$ 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 $C_n$ and $B_n$. But even for combinatorial sequences $B_n^2$ and $B_n^3$, one may determine asymptotics of multifold convolutions for large $n$. 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.
title Multifold Convolutions, Generating Functions and 1d Random Walks
topic Combinatorics
Probability
05A15, 60G50, 60F10
url https://arxiv.org/abs/2410.22486