Multidimensional Tauberian theorems for vector-valued distributions
Abstract
We prove several Tauberian theorems for regularizing transforms of vector-valued distributions. The regularizing transform of f is given by the integral transform Mf(x,y)=(fy)(x), (x,y)∈Rn×R+, with kernel y(t)=y-n(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. In addition, we present a new proof of Littlewood's Tauberian theorem.
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