
Let \(s(n, m)\) denote the unsigned Stirling numbers of the first kind. For any \(\eta> 0\) and natural number \(v\), the following asymptotic formula holds uniformly \[ {s(n, m)\over n!}= {1\over n} \sum_{0\leq k\leq v} {\Pi_{m,k} (\log n)\over n^k}+ O \Biggl({(\log n)^m\over m!n^{v+ 2}}\Biggr) \] for \(1\leq m\leq \eta\log n\), where \(\Pi_{m, k}(x)\) are explicitly given polynomials in \(x\) of degree \(m- 1\). Since the asymptotic behaviour of \(\Pi_{m, k}(\log n)\) is unclear for \(m= \Omega(\log n)\), a uniform asymptotic expansion for \(\Pi_{m, 0}(\log n)\) is also given. These results can be interpreted as saying that the Stirling numbers of the first kind are asymptotically Poisson distributed of parameter \(\log n\). The proof uses a variant of the saddle point method.
Computational Theory and Mathematics, Stirling numbers of the first kind, polynomials, saddle point method, Bell and Stirling numbers, Discrete Mathematics and Combinatorics, uniform asymptotic expansion, Asymptotic enumeration, Theoretical Computer Science
Computational Theory and Mathematics, Stirling numbers of the first kind, polynomials, saddle point method, Bell and Stirling numbers, Discrete Mathematics and Combinatorics, uniform asymptotic expansion, Asymptotic enumeration, Theoretical Computer Science
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 40 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
