Kernels in random graphs
β Scribed by W.Fernandez de la Vega
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 214 KB
- Volume
- 82
- Category
- Article
- ISSN
- 0012-365X
No coin nor oath required. For personal study only.
β¦ Synopsis
For each fixed p, the random directed graph D(n, p) on n vertices with (directed) edge probability p possesses a kernel with probability tending to 1 as n + a.
Pour chaque p fixe, le graphe alCatoire D(n, p) a n sommets et probabilitts des arcs Cgales B p posstde un noyau avec une probabilit6 tendant vers 1 quand n+o3.
π SIMILAR VOLUMES
A directed graph is said to be kernel-perfect if every induced subgraph possesses a kernel (independent, absorbing subset). A necessary condition for a graph to be kernel-perfect is that every complete subgraph C has an absorbing vertex (i.e., a successor of all vertices of C). In this work, we show
tuczak, T., Cycles in random graphs, Discrete Mathematics 98 (1991) 231-236. Let G(n, p) be a graph on n vertices in which each possible edge is presented independently with probability p = p(n) and u'(n, p) denote the number of vertices of degree 1 in G(n, p). It is shown that if E > 0 and rip(n)))
We consider graphs that have a clique-cutset, and we show that this property preserves the existence of a kernel in a certain sense. We consider finite directed graphs that do not have multiple arcs or loops, but there may be symmetric arcs between some pairs of vertices. Let G = (V, A) be a direct