Generating functions of non-backtracking walks on weighted digraphs: radius of convergence and Ihara's theorem
Vanni Noferini, Mar\'ia C. Quintana

TL;DR
This paper extends the understanding of generating functions for non-backtracking walks on weighted directed graphs, providing new formulas for the radius of convergence and a version of Ihara's theorem, linking graph cycles and spectral properties.
Contribution
It introduces exact formulas for the radius of convergence for weighted and directed graphs and generalizes Ihara's theorem to backtracking-downweighted walks.
Findings
Exact formula for radius of convergence in weighted graphs
Characterization of convergence radius based on graph cycles
A generalized Ihara's theorem for backtracking-downweighted walks
Abstract
It is known that the generating function associated with the enumeration of non-backtracking walks on finite graphs is a rational matrix-valued function of the parameter; such function is also closely related to graph-theoretical results such as Ihara's theorem and the zeta function on graphs. In [P. Grindrod, D. J. Higham, V. Noferini, The deformed graph Laplacian and its application to network centrality analysis, SIAM J. Matrix Anal. Appl. 39(1), 310--341, 2018], the radius of convergence of the generating function was studied for simple (i.e., undirected, unweighted and with no loops) graphs, and shown to depend on the number of cycles in the graph. In this paper, we use technologies from the theory of polynomial and rational matrices to greatly extend these results by studying the radius of convergence of the corresponding generating function for general, possibly directed and/or…
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Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Interconnection Networks and Systems
