Title
A Poisson * Geometric Convolution Law for the Number of Components in Unlabelled Combinatorial Structures
Abstract
Given a class of combinatorial structures 𝒞, we consider the quantity N(n, m), the number of multiset constructions 𝒫 (of 𝒞) of size n having exactly m 𝒞-components. Under general analytic conditions on the generating function of 𝒞, we derive precise asymptotic estimates for N(n, m), as n→∞ and m varies through all possible values (in general 1≤m≤n). In particular, we show that the number of 𝒞-components in a random (assuming a uniform probability measure) 𝒫-structure of size n obeys asymptotically a convolution law of the Poisson and the geometric distributions. Applications of the results include random mapping patterns, polynomials in finite fields, parameters in additive arithmetical semigroups, etc. This work develops the ‘additive’ counterpart of our previous work on the distribution of the number of prime factors of an integer [20].
Year
DOI
Venue
1998
10.1017/S0963548397003295
Combinatorics, Probability & Computing
Keywords
Field
DocType
unlabelled combinatorial structures,random mapping pattern,general analytic condition,finite field,convolution law,quantity n,additive arithmetical semigroups,size n obeys,previous work,size n,geometric convolution law,combinatorial structure,generating function,geometric distribution,probability measure
Discrete mathematics,Generating function,Arithmetic function,Finite field,Combinatorics,Convolution,Multiset,Probability measure,Prime factor,Poisson distribution,Law,Mathematics
Journal
Volume
Issue
ISSN
7
1
0963-5483
Citations 
PageRank 
References 
1
0.40
8
Authors
1
Name
Order
Citations
PageRank
Hsien-Kuei Hwang136538.02