6,118 research outputs found
A new notion of vertex independence and rank for finite graphs
A new notion of vertex independence and rank for a finite graph G is
introduced. The independence of vertices is based on the boolean independence
of columns of a natural boolean matrix associated to G. Rank is the cardinality
of the largest set of independent columns. Some basic properties and some more
advanced theorems are proved. Geometric properties of the graph are related to
its rank and independent sets.Comment: 47 page
A new notion of vertex independence and rank for finite graphs
A new notion of vertex independence and rank for a finite graph C is introduced. The independence of vertices is based on the boolean independence of columns of a natural boolean matrix associated to G. Rank is the cardinality of the largest set of independent columns. Some basic properties and some more advanced theorems are proved. Geometric properties of the graph are related to its rank and independent sets
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
On the number of types in sparse graphs
We prove that for every class of graphs which is nowhere dense,
as defined by Nesetril and Ossona de Mendez, and for every first order formula
, whenever one draws a graph and a
subset of its nodes , the number of subsets of which are of
the form
for some valuation of in is bounded by
, for every . This provides
optimal bounds on the VC-density of first-order definable set systems in
nowhere dense graph classes.
We also give two new proofs of upper bounds on quantities in nowhere dense
classes which are relevant for their logical treatment. Firstly, we provide a
new proof of the fact that nowhere dense classes are uniformly quasi-wide,
implying explicit, polynomial upper bounds on the functions relating the two
notions. Secondly, we give a new combinatorial proof of the result of Adler and
Adler stating that every nowhere dense class of graphs is stable. In contrast
to the previous proofs of the above results, our proofs are completely
finitistic and constructive, and yield explicit and computable upper bounds on
quantities related to uniform quasi-wideness (margins) and stability (ladder
indices)
Infinite matroids in graphs
It has recently been shown that infinite matroids can be axiomatized in a way
that is very similar to finite matroids and permits duality. This was
previously thought impossible, since finitary infinite matroids must have
non-finitary duals. In this paper we illustrate the new theory by exhibiting
its implications for the cycle and bond matroids of infinite graphs. We also
describe their algebraic cycle matroids, those whose circuits are the finite
cycles and double rays, and determine their duals. Finally, we give a
sufficient condition for a matroid to be representable in a sense adapted to
infinite matroids. Which graphic matroids are representable in this sense
remains an open question.Comment: Figure correcte
Axioms for infinite matroids
We give axiomatic foundations for non-finitary infinite matroids with
duality, in terms of independent sets, bases, circuits, closure and rank. This
completes the solution to a problem of Rado of 1966.Comment: 33 pp., 2 fig
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