Combinatorial conditions for graph rigidity, with applications to random graphs
Combinatorial conditions for graph rigidity, with applications to random graphs
Graph rigidity is one of the most classical subjects in graph theory, studying geometric properties of graphs. Formally, a graph G=(V,E) is d-rigid if a generic embedding of its vertex set V into R^d is rigid, namely, every continuous motion of its vertices preserving the lengths of the edges of G necessarily preserves all pairwise distances between the vertices of G.
We develop a new sufficient condition for d-rigidity, formulated in graph theoretic terms. This condition allows us to obtain several new results about rigidity of random graphs. In particular, we argue that for edge probability p>2ln n/n, a random graph G(n,p) is with high probability (whp) cnp-rigid, for c>0 being an absolute constant. We also show that a random r-regular graph G_{n,r}, r>=3, is whp cr-rigid.
Another consequence is a sufficient condition for d-rigidity based on the minimum co-degree of the graph.
The talk should be accessible to a general graph theoretic audience, no previous experience (whether positive or negative) with graph rigidity will be assumed.
Joint work with Alan Lew and Peleg Michaeli.