Degrees in random $m$-ary hooking networks

Fuente: arXiv
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Main Authors: Bhutani, Kiran R., Kalpathy, Ravi, Mahmoud, Hosam
Format: Preprint
Published: 2023
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_version_ 1866929450024697856
author Bhutani, Kiran R.
Kalpathy, Ravi
Mahmoud, Hosam
author_facet Bhutani, Kiran R.
Kalpathy, Ravi
Mahmoud, Hosam
contents The theme in this paper is a composition of random graphs and Pólya urns. The random graphs are generated through a small structure called the seed. Via Pólya urns, we study the asymptotic degree structure in a random $m$-ary hooking network and identify strong laws. We further upgrade the result to second-order asymptotics in the form of multivariate Gaussian limit laws. We give a few concrete examples and explore some properties with a full representation of the Gaussian limit in each case. The asymptotic covariance matrix associated with the Pólya urn is obtained by a new method that originated in this paper and is reported in [25].
format Preprint
id arxiv_https___arxiv_org_abs_2308_03857
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Degrees in random $m$-ary hooking networks
Bhutani, Kiran R.
Kalpathy, Ravi
Mahmoud, Hosam
Probability
05C82, 90B15 (Primary) 60C05, 60F05 (Secondary)
The theme in this paper is a composition of random graphs and Pólya urns. The random graphs are generated through a small structure called the seed. Via Pólya urns, we study the asymptotic degree structure in a random $m$-ary hooking network and identify strong laws. We further upgrade the result to second-order asymptotics in the form of multivariate Gaussian limit laws. We give a few concrete examples and explore some properties with a full representation of the Gaussian limit in each case. The asymptotic covariance matrix associated with the Pólya urn is obtained by a new method that originated in this paper and is reported in [25].
title Degrees in random $m$-ary hooking networks
topic Probability
05C82, 90B15 (Primary) 60C05, 60F05 (Secondary)
url https://arxiv.org/abs/2308.03857