English

Improved Approximation for Maximum Edge Colouring Problem

Discrete Mathematics 2019-10-28 v1 Data Structures and Algorithms

Abstract

The anti-Ramsey number, ar(G,H)ar(G, H) is the minimum integer kk such that in any edge colouring of GG with kk colours there is a rainbow subgraph isomorphic to HH, i.e., a copy of HH with each of its edges assigned a different colour. The notion was introduced by Erd{\"{o}}s and Simonovits in 1973. Since then the parameter has been studied extensively in combinatorics, also the particular case when HH is a star graph. Recently this case received the attention of researchers from the algorithm community because of its applications in interface modelling of wireless networks. To the algorithm community, the problem is known as maximum edge qq-colouring problem. In this paper, we study the maximum edge 22-colouring problem from the approximation algorithm point of view. The case q=2q=2 is particularly interesting due to its application in real-life problems. Algorithmically, this problem is known to be NP-hard for q2q\ge 2. For the case of q=2q=2, it is also known that no polynomial-time algorithm can approximate to a factor less than 3/23/2 assuming the unique games conjecture. Feng et al. showed a 22-approximation algorithm for this problem. Later Adamaszek and Popa presented a 5/35/3-approximation algorithm with the additional assumption that the input graph has a perfect matching. Note that the obvious but the only known algorithm issues different colours to the edges of a maximum matching (say MM) and different colours to the connected components of GMG \setminus M. In this article, we give a new analysis of the aforementioned algorithm leading to an improved approximation bound for triangle-free graphs with perfect matching. We also show a new lower bound when the input graph is triangle-free. The contribution of the paper is a completely new, deeper and closer analysis of how the optimum achieves a higher number of colours than the matching based algorithm, mentioned above.

Keywords

Cite

@article{arxiv.1910.11753,
  title  = {Improved Approximation for Maximum Edge Colouring Problem},
  author = {L Sunil Chandran and Abhiruk Lahiri and Nitin Singh},
  journal= {arXiv preprint arXiv:1910.11753},
  year   = {2019}
}

Comments

13 pages, 4 figures