Kneser ranks of random graphs and minimum difference representations
arXiv:1701.08292
Abstract
Every graph is an induced subgraph of some Kneser graph of rank , i.e., there is an assignment of (distinct) -sets to the vertices such that and are disjoint if and only if . The smallest such is called the Kneser rank of and denoted by . As an application of a result of Frieze and Reed concerning the clique cover number of random graphs we show that for constant there exist constants , such that with high probability \[ c_1 n/(\log n)< f_{\rm Kneser}(G) < c_2 n/(\log n). \] We apply this for other graph representations defined by Boros, Gurvich and Meshulam. A {\em -min-difference representation} of a graph is an assignment of a set to each vertex such that \[ ij\in E(G) \,\, \Leftrightarrow \, \, \min \{|A_i\setminus A_j|,|A_j\setminus A_i| \}\geq k. \] The smallest such that there exists a -min-difference representation of is denoted by . Balogh and Prince proved in 2009 that for every there is a graph with . We prove that there are constants such that holds for almost all bipartite graphs on vertices.