On the approximability of the L(h, k)-labelling problem on bipartite graphs

  • Authors:
  • Tiziana Calamoneri;Paola Vocca

  • Affiliations:
  • Dipartimento di Informatica, Università degli Studi di Roma “La Sapienza”, Roma, Italy;Department of Mathematics, University of Lecce – Italy, Lecce, Italy

  • Venue:
  • SIROCCO'05 Proceedings of the 12th international conference on Structural Information and Communication Complexity
  • Year:
  • 2005

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Abstract

Given an undirected graph G, an L(h,k)-labelling of G assigns colors to vertices from the integer set {0, ..., λh,k}, such that any two vertices vi and vj receive colors c(vi) and c(vj) satisfying the following conditions: i) if vi and vj are adjacent then |c(vi) – c(vj)| ≥ h; ii) if vi and vj are at distance two then |c(vi) – c(vj)| ≥ k. The aim of the L(h,k)-labelling problem is to minimize λh,k. In this paper we study the approximability of the L(h,k)-labelling problem on bipartite graphs and extend the results to s-partite and general graphs. Indeed, the decision version of this problem is known to be NP-complete in general and, to our knowledge, there are no polynomial solutions, either exact or approximate, for bipartite graphs. Here, we state some results concerning the approximability of the L(h,k)-labelling problem for bipartite graphs, exploiting a novel technique, consisting in computing approximate vertex- and edge-colorings of auxiliary graphs to deduce an L(h,k)-labelling for the input bipartite graph. We derive an approximation algorithm with performance ratio bounded by $\frac{4}{3} D^2$, where, D is equal to the minimum even value bounding the minimum of the maximum degrees of the two partitions. One of the above coloring algorithms is in fact an approximating edge-coloring algorithm for hypergraphs of maximum dimension d, i.e. the maximum edge cardinality, with performance ratio d. Furthermore, we consider a different approximation technique based on the reduction of the L(h,k)-labelling problem to the vertex-coloring of the square of a graph. Using this approach we derive an approximation algorithm with performance ratio bounded by min(h, 2k)$\sqrt{n} + o(k + \sqrt{n})$, assuming h ≥ k. Hence, the first technique is competitive when D = O(n1/4). These algorithms match with a result in [2] stating that L(1,1)-labelling n-vertex bipartite graphs is hard to approximate within n1/2−ε, for any ε 0, unless NP = ZPP. We then extend the latter approximation strategy to s-partite graphs, obtaining a (min(h, sk)$\sqrt{n} + o(sk \sqrt{n})$)-approximation ratio, and to general graphs deriving an $(h\sqrt{n} + o(h\sqrt{n}))$-approximation algorithm, assuming h ≥ k. Finally, we prove that the L(h,k) – labelling problem is not easier than coloring the square of a graph.