Tauberian Theory for Multivariate Regularly Varying Distributions with Application to Preferential Attachment Networks
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Author
Resnick, Sidney
Samorodnitsky, Gennady
Abstract
Abel-Tauberian theorems relate power law behavior of distributions and their transforms. We formulate and prove a multivariate version for non-standard regularly varying measures on R_+^p and then apply it to prove that the joint distribution of in- and out-degree in a directed edge preferential attachement model has jointly regularly varying tails.
Sponsorship
This research was supported by the ARO
MURI grant W911NF-12-10385 to Cornell University
MURI grant W911NF-12-10385 to Cornell University
Date Issued
2014-06-25
Type
technical report