Abstract

We propose a new proof technique that applies to the same problems as the Lovász Local Lemma or the entropy-compression method. We present this approach in the context of non-repetitive colorings and we use it to improve upper-bounds relating different non-repetitive chromatic numbers to the maximal degree of a graph. It seems that there should be other interesting applications of the presented approach.
 In terms of upper-bounds our approach seems to be as strong as entropy-compression, but the proofs are more elementary and shorter. The applications we provide in this paper are upper bounds for graphs of maximal degree at most $\Delta$: a minor improvement on the upper-bound of the non-repetitive chromatic number, a $4.25\Delta +o(\Delta)$ upper-bound on the weak total non-repetitive chromatic number, and a $ \Delta^2+\frac{3}{2^{1/3}}\Delta^{5/3}+ o(\Delta^{5/3})$ upper-bound on the total non-repetitive chromatic number of graphs. This last result implies the same upper-bound for the non-repetitive chromatic index of graphs, which improves the best known bound.

Highlights

  • IntroductionMost results regarding non-repetitive coloring of graphs of bounded maximal degree are either based on the Lovasz Local Lemma (LLL) or entropy-compression and they naturally hold in the stronger setting of list coloring

  • A sequence s1 . . . s2n is a square if si = si+n for each i ∈ {1, . . . , n}

  • The applications we provide in this paper are upper bounds for graphs of maximal degree at most ∆: a minor improvement on the upper-bound of the non-repetitive chromatic number, a

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Summary

Introduction

Most results regarding non-repetitive coloring of graphs of bounded maximal degree are either based on the Lovasz Local Lemma (LLL) or entropy-compression and they naturally hold in the stronger setting of list coloring. Local Lemma and to entropy-compression (whose idea is based on the algorithmic proof the electronic journal of combinatorics 27(3) (2020), #P3.43 of the Lovasz Local Lemma by Moser and Tardos [14]) and we apply this technique to different non-repetitive coloring problems. This technique provides bounds as good as entropy-compression, but is much more elementary.

Non-repetitive colorings of paths
The proof technique
Non-repetitive colorings
Weak total Thue coloring
Weak total Thue coloring for large maximal degree
Total Thue coloring
Conclusion
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