A transfer theorem for multivariate Delta-analytic functions with a power-law singularity
Abstract
This paper presents a multivariate generalization of Flajolet and Odlyzko's transfer theorem. Similarly to the univariate version, the theorem assumes -analyticity (defined coordinate-wise) of a function at a unique dominant singularity , and allows one to translate, on a term-by-term basis, an asymptotic expansion of around into a corresponding asymptotic expansion of its Taylor coefficients . We treat the case where the asymptotic expansion of contains only power-law type terms, and where the indices tend to infinity in some polynomially stretched diagonal limit. The resulting asymptotic expansion of is a sum of terms of the form \begin{equation*} I(\lambda_1,\ldots,\lambda_d) \cdot n_0^{-\Theta} \cdot \rho_1^{-n_1}\cdots \rho_d^{-n_d}, \end{equation*} where is the direction vector of the stretched diagonal limit for , the parameter tends to at similar speed as , while and are determined by the asymptotic expansion of .
Keywords
Cite
@article{arxiv.2201.03539,
title = {A transfer theorem for multivariate Delta-analytic functions with a power-law singularity},
author = {Linxiao Chen},
journal= {arXiv preprint arXiv:2201.03539},
year = {2022}
}
Comments
23 pages, 2 figures, preliminary version