On Euler Paths and the Maximum Degree Growth of Iterated Higher Order Line Graphs
Aryan Sanghi, Anubhav Dhar, Sudeshna Kolay

TL;DR
This paper investigates Euler paths and maximum degree growth in iterated higher order line graphs, providing algorithms and characterizations for prolific graphs, revealing interesting constants and growth patterns.
Contribution
It introduces efficient algorithms for Euler path detection in higher order line graphs and characterizes the degree growth constants for prolific graphs.
Findings
An $ ext{O}(n^2 m)$-time algorithm for Euler path existence in iterated line graphs.
Identification of specific constants $dgc(G)$ governing degree growth in prolific graphs.
Complete characterization of prolific graphs with certain degree growth constants.
Abstract
Given a simple graph , its line graph, denoted by , is obtained by representing each edge of as a vertex, with two vertices in adjacent whenever the corresponding edges in share a common endpoint. By applying the line graph operation repeatedly, we obtain higher order line graphs, denoted by . In other words, , and for any integer , . Given a graph on vertices, we wish to efficiently find out (i) if has an Euler path, (ii) the value of . Note that the size of a higher order line graph could be much larger than that of . For the first question, we show that for a graph with vertices and edges the largest where has an Euler path satisfies . We also design an -time algorithm to output all such that…
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Taxonomy
TopicsAdvanced Graph Theory Research · Limits and Structures in Graph Theory · Interconnection Networks and Systems
