Asymptotic approximation of central binomial coefficients with rigorous error bounds
Numerical Analysis
2021-12-21 v4 Numerical Analysis
Classical Analysis and ODEs
Combinatorics
Abstract
We show that a well-known asymptotic series for the logarithm of the central binomial coefficient is strictly enveloping in the sense of P\'olya and Szeg\"o, so the error incurred in truncating the series is of the same sign as the next term, and is bounded in magnitude by that term. We consider closely related asymptotic series for Binet's function, for , and for the Riemann-Siegel theta function, and make some historical remarks.
Cite
@article{arxiv.1608.04834,
title = {Asymptotic approximation of central binomial coefficients with rigorous error bounds},
author = {Richard P. Brent},
journal= {arXiv preprint arXiv:1608.04834},
year = {2021}
}
Comments
11 pages, 1 table; added more references in v3, minor corrections in v4