Generalized Riemann Functions, Their Weights, and the Complete Graph
Nicolas Folinsbee, Joel Friedman

TL;DR
This paper introduces a new weight function associated with Riemann functions, simplifies the understanding of their structure, and provides efficient algorithms for computing the Baker-Norine rank on graphs, especially the complete graph.
Contribution
It defines the weight of Riemann functions, shows its role in Riemann-Roch formulas, and develops a linear time algorithm for Baker-Norine rank computation on complete graphs.
Findings
Weight function simplifies Riemann function analysis.
Derived a linear time algorithm for Baker-Norine rank on complete graphs.
Established a natural generalization of Riemann functions.
Abstract
By a {\em Riemann function} we mean a function such that is equals for sufficiently small, and equals for a constant, , for sufficiently large. By adding to the Baker-Norine rank function of a graph, one gets an equivalent Riemann function, and similarly for related rank functions. To each Riemann function we associate a related function via M\"obius inversion that we call the {\em weight} of the Riemann function. We give evidence that the weight seems to organize the structure of a Riemann function in a simpler way: first, a Riemann function satisfies a Riemann-Roch formula iff its weight satisfies a simpler symmetry condition. Second, we will calculate the weight of the Baker-Norine rank for certain graphs and show that the weight…
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Taxonomy
TopicsGraph theory and applications · Advanced Graph Theory Research · Matrix Theory and Algorithms
