Erdös-Ko-Rado theorems for chordal and bipartite graphs

Mathematics – Combinatorics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

30 pages, 5 figures. This is the second version. Conjecture 4.1 from the previous version has been disproved, and the relevant

Scientific paper

One of the more recent generalizations of the Erd\"os-Ko-Rado theorem, formulated by Holroyd, Spencer and Talbot, defines the Erd\"os-Ko-Rado property for graphs in the following manner: for a graph G and a positive integer r, G is said to be r-EKR if no intersecting subfamily of the family of all independent vertex sets of size r is larger than the largest star, where a star centered at a vertex v is the family of all independent sets of size $r$ containing v. In this paper, we prove that if G is a disjoint union of chordal graphs, including at least one singleton, then G is r-EKR if $r\leq mu(G)/2$, where mu(G) is the minimum size of a maximal independent set. We will also prove Erd\"os-Ko-Rado results for chains of complete graphs, which are a class of chordal graphs obtained by blowing up edges of a path into complete graphs. We also consider similar problems for ladder graphs and trees, and prove preliminary results for these graphs.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Erdös-Ko-Rado theorems for chordal and bipartite graphs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Erdös-Ko-Rado theorems for chordal and bipartite graphs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Erdös-Ko-Rado theorems for chordal and bipartite graphs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-67718

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.