Abstract

For positive integers s and t, the Ramsey number R ( s , t ) is the smallest positive integer n such that every graph of order n contains either a clique of order s or an independent set of order t. The triangle-free process begins with an empty graph of order n, and iteratively adds edges chosen uniformly at random subject to the constraint that no triangle is formed. It has been an important tool in studying the asymptotic lower bound for R ( 3 , t ) . Cyclic graphs are vertex-transitive. The symmetry of cyclic graphs makes it easier to compute their independent numbers than related general graphs. In this paper, the cyclic triangle-free process is studied. The sizes of the parameter sets and the independence numbers of the graphs obtained by the cyclic triangle-free process are studied. Lower bounds on R ( 3 , t ) for small t’s are computed, and R ( 3 , 35 ) ≥ 237 , R ( 3 , 36 ) ≥ 244 , R ( 3 , 37 ) ≥ 255 , R ( 3 , 38 ) ≥ 267 , etc. are obtained based on the graphs obtained by the cyclic triangle-free process. Finally, some problems on the cyclic triangle-free process and R ( 3 , t ) are proposed.

Highlights

  • All graphs considered in this paper are finite and undirected graphs

  • We have found a graph of order with independence number 31 by the cyclic triangle-free process

  • Since the degree of a cyclic K3 -free graph is closely related to its independence number, we study the sizes of parameter sets of cyclic graphs obtained by the cyclic triangle-free process

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Summary

Introduction

For any positive integer n, the complete graph of order n is denoted by Kn , and K3 is called triangle. The Ramsey number R(s, t) is the smallest positive integer n such that every graph of order n contains either an s-clique or a t-independent set. The triangle-free process begins with En , an empty graph of order n, and iteratively adds edges chosen uniformly at random subject to the constraint that no triangle is formed It was used in studying the asymptotic lower bound for R(3, t) in [3,4].

Preliminary
The Cyclic Triangle-Free Process
Computation on the Sizes of Parameter Sets of Cyclic Graphs in Large Cases
A Simple Lower Bound on the Sizes of Parameter Sets
More Computation on the Sizes of Parameter Sets of Cyclic Graphs
Conclusions and Problems
Full Text
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