• Nem Talált Eredményt

Extremal graph theory, Stability, and Anti-Ramsey theorems

N/A
N/A
Protected

Academic year: 2022

Ossza meg "Extremal graph theory, Stability, and Anti-Ramsey theorems"

Copied!
1
0
0

Teljes szövegt

(1)

Extremal graph theory, Stability, and Anti-Ramsey theorems

Mikl´ os Simonovits

Alfr´ ed R´ enyi Mathematical Institute of the Hungarian Academy of Sciences,

Budapest

Extremal graph theory is one of the most developed branches of Discrete Mathematics. Stability methods are very successful in this field. We shall give some illustration of this method for graphs, hypergraphs, and Anti-Ramsey problems. An Anti-Ramsey problem is where a sample graphLis fixed and we colour the edges of , e.g., a complete graph Kn without having a copy of Lin which all the edges have distinct colours.

We shall consider Dual Anti-Ramsey problems, coming from Theoretical Computer Science. Burr, Erd˝os, Graham and T. S´os [1] defined and investigated a dualvariant of theAnti-Ramseyproblems.

The dual Anti-Ramsey problem. Fix a sample graph L, and consider a (variable) graph Gn on n vertices, with e = e(Gn) >

ex(n, L) edges. Let χS(Gn, L) denote the minimum number of colours needed to colour the edges of Gn so that no L ⊆ Gn has two edges of the same colour. Determine

χS(n, e, L) := min{χS(Gn, L) : e(Gn) =e}.

Here we improve several results of [1] and [2].

This lecture is partly based on a manuscript of Erd˝os and Simonovits [3]

from the late 1980’s.

References

[1] S. A. Burr, P. Erd˝os, R. L. Graham and Vera T. S´os: Maximal antiramsey graphs and the strong chromatic number, Journal of Graph Theory, vol 13(3), (1989) pp 163–182.

[2] S. Burr, P. Erd˝os, P. Frankl, R. L. Graham, V. T. S´os: Further results on maximal Anti–Ramsey graphs Proc. Kalamazoo Combin. Conf., 1989 pp 193–206 [3] P. Erd˝os and M. Simonovits: How many colours are needed to colour every

pentagon of a graph in five colours? (manuscript, under publication)

1

Hivatkozások

KAPCSOLÓDÓ DOKUMENTUMOK

If we cover all edges of the n-vertex complete graph by smaller collision-detection graphs (possibly redundantly), then we can detect all collisions, using several iter- ations on

(MT++’19) From a complete graph on 10 vertices we delete the edges of two such cycles on 3 vertices which have exactly one vertex in common.. Determine the chromatic number of the

If the graph G has the property that removing any k edges of G, the resulting graph still contains (not necessarily spans) a subgraph isomorphic with H, then we say that G is k

T.L. The bipartite graph K 3,3 is not 2- choosable. Let G be a planar graph and let C be the cycle that is the boundary of the exterior face. We can assume that the planar graph G

Any graph with n vertices and e edges has a proper drawing in the plane with fewer than e crossings, where each crossing point that belongs to the interior of several edges is

Gy´ arf´ as and S´ ark¨ ozy proved that if we colour the edges of a not necessarily complete graph so that no completely multicoloured triangles appear then there is still a

Proof: If it has a face which is not a triangle, then adding a diagonal of that increasing the edge number but keeping the graph planar. But a graph having 3n-5 edges is

Edge Clique Cover : Given a graph G and an integer k, cover the edges of G with at most k cliques.. (the cliques need not be edge disjoint) Equivalently: can G be represented as