Asymptotics and statistics on Fishburn matrices and their generalizations

Autor: Hsien-Kuei Hwang, Emma Yu Jin
Rok vydání: 2021
Předmět:
Zdroj: Journal of Combinatorial Theory, Series A. 180:105413
ISSN: 0097-3165
DOI: 10.1016/j.jcta.2021.105413
Popis: A direct saddle-point analysis (without relying on any modular forms, identities or functional equations) is developed to establish the asymptotics of Fishburn matrices and a large number of other variants with a similar sum of-finite-product form for their (formal) general functions. In addition to solving some conjectures, the application of our saddle-point approach to the distributional aspects of statistics on Fishburn matrices is also examined with many new limit theorems characterized, representing the first of their kind for such structures.
Comment: 44 pages, 20 figures
Databáze: OpenAIRE