48 research outputs found
Positive independence densities of finite rank countable hypergraphs are achieved by finite hypergraphs
The independence density of a finite hypergraph is the probability that a
subset of vertices, chosen uniformly at random contains no hyperedges.
Independence densities can be generalized to countable hypergraphs using
limits. We show that, in fact, every positive independence density of a
countably infinite hypergraph with hyperedges of bounded size is equal to the
independence density of some finite hypergraph whose hyperedges are no larger
than those in the infinite hypergraph. This answers a question of Bonato,
Brown, Kemkes, and Pra{\l}at about independence densities of graphs.
Furthermore, we show that for any , the set of independence densities of
hypergraphs with hyperedges of size at most is closed and contains no
infinite increasing sequences.Comment: To appear in the European Journal of Combinatorics, 12 page
Counting independent sets in hypergraphs
Let be a triangle-free graph with vertices and average degree . We
show that contains at least independent sets. This improves a recent result of the
first and third authors \cite{countingind}. In particular, it implies that as
, every triangle-free graph on vertices has at least
independent sets, where . Further, we show that for all , there exists a triangle-free
graph with vertices which has at most
independent sets, where . This disproves a
conjecture from \cite{countingind}.
Let be a -uniform linear hypergraph with vertices and average
degree . We also show that there exists a constant such that the
number of independent sets in is at least This is tight apart from the constant
and generalizes a result of Duke, Lefmann, and R\"odl
\cite{uncrowdedrodl}, which guarantees the existence of an independent set of
size . Both of our lower bounds follow
from a more general statement, which applies to hereditary properties of
hypergraphs