Strong Pseudo Transitivity and Intersection Graphs
Farhad Shahrokhi

TL;DR
This paper introduces the concept of strong pseudo transitivity in graphs, unifies various geometric and graph classes under this framework, and provides efficient algorithms for maximum independent set problems.
Contribution
It defines strong pseudo transitivity, extends it to intersection and other graph classes, and applies a unified algorithmic approach to solve maximum independent set problems efficiently.
Findings
Intersection graphs of axis-parallel rectangles intersecting a diagonal are co-strongly pseudo transitive.
Half segment intersection graphs are co-strongly pseudo transitive.
Interval filament graphs are co-strongly pseudo transitive of the first type.
Abstract
A directed graph is {\it strongly pseudo transitive} if there is a partition of so that graphs and are transitive, and additionally, if and implies that . A strongly pseudo transitive graph is strongly pseudo transitive of the first type, if and implies . An undirected graph is co-strongly pseudo transitive (co-strongly pseudo transitive of the first type) if its complement has an orientation which is strongly pseudo transitive (co-strongly pseudo transitive of the first type). Our purpose is show that the results in computational geometry \cite{CFP, Lu} and intersection graph theory \cite{Ga2, ES} can be unified and extended, using the notion of strong pseudo transitivity. As a consequence the general algorithmic framework in \cite{Sh} is applicable to solve the…
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Taxonomy
TopicsAdvanced Graph Theory Research · Computational Geometry and Mesh Generation · Complexity and Algorithms in Graphs
