Skip to main content

Some Observations on Dynamic Random Walks and Network Renormalization

Author(s): Chazelle, Bernard

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr17r7c
Abstract: We recently developed a general bifurcation analysis framework for establishing the periodicity of certain time-varying random walks. In this work, we look at the special case of lazy uniform-inflow random walks and show how a much simpler version of the argument can be used to resolve their analysis. We also revisit a renormalization technique for network sequences that we introduced earlier and we propose a few simplifications. This work can be viewed as a gentle introduction to Markov influence systems.
Publication Date: 2019
Citation: Chazelle, Bernard. "Some Observations on Dynamic Random Walks and Network Renormalization." International Symposium on Fundamentals of Computation Theory (2019): pp. 18-28. doi:10.1007/978-3-030-25027-0_2
DOI: 10.1007/978-3-030-25027-0_2
ISSN: 0302-9743
EISSN: 1611-3349
Pages: 18 - 28
Type of Material: Conference Article
Journal/Proceeding Title: International Symposium on Fundamentals of Computation Theory
Version: Author's manuscript



Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.