Category MATH P22 Strong Matching Preclusion of the Generalized Petersen Graph

Abstract The world wide web, cell phone lines and other technology networks

depend on the strength of their networks to connect millions of people

daily. Supercomputer networks are used frequently as one of the most

powerful computing tools in the world. In the computer science field, it is

important to detect the reliability of an interconnection network

because the speed and cost of a network often depends on its design.



Graph theory allows for complex networks and processes to be

modeled and examined using edges and vertices. The idea of strong

matching preclusion within graph theory assists with fault diagnosis, as

it can specifically be used to simulate the propagation of outside

interference on these large computer networks and to design optimal

strategies to protect them from a real-time malware attack. The strong

matching preclusion number of a graph is the minimum number of

vertices and edges whose deletion results in a graph with neither

perfect matchings nor almost-perfect matchings. The Petersen Graph is

a strongly regular graph which provides many counterexamples to

graph-theoretic statements. One can extend the Petersen graph to a

variety of graphs that have many similar properties; these are known as

the Generalized Petersen Graphs P(n,k). In this project, the

robustness of P(n,k) was shown by proving that the graph will always be

strongly matched under specific conditions.

Rather than induction, the principle of casework based on parity was

used to investigate the graph due to the infinite amount of base cases

necessary. This more technical approach is direct and efficient; it

provides insight towards other methods applicable to a related set of

problems. Furthermore, the greedy algorithm was used to optimize our

solutions.

The class of Generalized Petersen Graphs can be extended to a 3D

network which can be used for parallel computing. As shown in this

project, this type of network is one that is extremely stable and efficient,

even during node or connection failure. The findings in this project will

allow for more effective high speed parallel and quantum computing.

Bibliography J.-H. Park and I. Ihm. Strong matching preclusion. Theoretical

Computer Science. 412:6409--6419, 2011.E. Cheng, L.Lipt'ak, N.

Prince, and K. Stanton. Matching preclusion and conditional matching

preclusion problems for the Generalized Petersen graph

𝑃(𝑛,3). 2011.
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