Multidimensional Tauberian theorems for vector-valued distributions

preprint2013arXivOpen access

Abstract

We prove several Tauberian theorems for regularizing transforms of vector-valued distributions. The regularizing transform of ff is given by the integral transform Mφf(x,y)=(f∗φy)(x),M^{f}_φ(x,y)=(f\astφ_{y})(x), (x,y)∈Rn×R+(x,y)\in\mathbb{R}^{n}\times\mathbb{R}_{+}, with kernel φy(t)=y−nφ(t/y)φ_{y}(t)=y^{-n}φ(t/y). We apply our results to the analysis of asymptotic stability for a class of Cauchy problems, Tauberian theorems for the Laplace transform, the comparison of quasiasymptotics in distribution spaces, and we give a necessary and sufficient condition for the existence of the trace of a distribution on {x0}×Rm\left\{x_0\right\}\times \mathbb R^m. In addition, we present a new proof of Littlewood's Tauberian theorem.

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