Bounds On The Inducibility Of Double Loop Graphs
Su Yuan Chan, Kerri Morgan, Julien Ugon

TL;DR
This paper establishes new upper bounds on the inducibility of double loop graphs, advancing understanding of extremal graph densities with near-optimal bounds for specific graph orders.
Contribution
It provides novel upper bounds for the inducibility of double loop graphs, including near-tight bounds for orders 5 and 6.
Findings
Upper bound for k=5 within 0.964506 factor of exact inducibility
Upper bound for k=6 within 3 times the best known lower bound
Advances extremal graph theory by refining inducibility bounds
Abstract
In the area of extremal graph theory, there exists a problem that investigates the maximum induced density of a -vertex graph in any -vertex graph . This is known as the problem of \emph{inducibility} that was first introduced by Pippenger and Golumbic in 1975. In this paper, we give a new upper bound for the inducibility for a family of \emph{Double Loop Graphs} of order . The upper bound obtained for order is within a factor of 0.964506 of the exact inducibility, and the upper bound obtained for is within a factor of 3 of the best known lower bound.
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Taxonomy
TopicsGraph theory and applications · Advanced Graph Theory Research · Limits and Structures in Graph Theory
