COMPUTER SCIENCE SEMINAR: Lower Bounds on the Odds against Tree Spectral Sets

join work with Prof. Vadim E. Levit

Dr. David Tankus, Department of Mathematics and Computer Science
Ariel University Center of Samaria
Tuesday, November 22, 2011
15.45 – 16.45
Room 426, Building 8

Throughout this talk G = (V, E) is a simple graph with vertex set V = V (G) and edge set E = E(G).

A path is a sequence of consecutive edges in a graph. The length of a path is the number of its edges. The distance between two vertices, v and w, denoted by d(v;w), is the length of the shortest path between v and w. A path is called maximal if it is not a subpath of another path. The path spectrum of a graph is the set of lengths of all maximal paths in the graph (Jacobson et al., 1995). A set of positive integers is spectral (tree spectral) if it is the path spectrum of a connected graph (tree). This subject has aroused considerable interest (Chen et al., 2008), (Fuller et al.,2001), (Tarsi, 1996). In 2010 Chen, Faudree, and Soltes proved the following.

Theorem 1. If s ³ 2 is even, then at least 25% of all subsets of the set {2, 3,…, s} are tree spectral.


 

Our main finding reads as follows.

Theorem 2. Let p ³ 7. Then:

         (i) At least 34:57% of all subsets of the set {2, 3,…, 2p} are tree spectral.

         (ii) At least 27:44% of all subsets of the set {2, 3,…, 2p-} are tree spectral.


 

Several results of this talk were presented at EuroComb 2011, Budapest.

 

Light refreshments will be served at 15:30.

Anyone who is interested in giving a talk in the seminar, please contact us.