2,360 research outputs found
Results and open problems in matchings in regular graphs
This survey paper deals with upper and lower bounds on the number of
-matchings in regular graphs on vertices.
For the upper bounds we recall the upper matching conjecture which is known
to hold for perfect matchings.
For the lower bounds we first survey the known results for bipartite graphs,
and their continuous versions as the van der Waerden and Tverberg permanent
conjectures and its variants. We then discuss non-bipartite graphs. Little is
known beyond the recent proof of the Lov\'asz-Plummer conjecture on the
exponential growth of perfect matchings in cubic bridgeless graphs.
We discuss the problem of the minimum of haffnians on the convex set of
matrices, whose extreme points are the adjacency matrices of subgraphs of the
complete graph corresponding to perfect matchings.
We also consider infinite regular graphs. The analog of -matching is the
-monomer entropy, where is the density of the number of
matchings.Comment: 15 pages, 3 figure
Entropy of Symmetric Graphs
A graph is called \emph{symmetric with respect to a functional }
defined on the set of all the probability distributions on its vertex set if
the distribution maximizing is uniform on . Using the
combinatorial definition of the entropy of a graph in terms of its vertex
packing polytope and the relationship between the graph entropy and fractional
chromatic number, we prove that vertex transitive graphs are symmetric with
respect to graph entropy. As the main result of this paper, we prove that a
perfect graph is symmetric with respect to graph entropy if and only if its
vertices can be covered by disjoint copies of its maximum-size clique.
Particularly, this means that a bipartite graph is symmetric with respect to
graph entropy if and only if it has a perfect matching.Comment: 20 pages, 3 figure
LDPC codes constructed from cubic symmetric graphs
Low-density parity-check (LDPC) codes have been the subject of much interest
due to the fact that they can perform near the Shannon limit. In this paper we
present a construction of LDPC codes from cubic symmetric graphs. The
constructed codes are -regular and the vast majority of the
corresponding Tanner graphs have girth greater than four. We analyse properties
of the obtained codes and present bounds for the code parameters, the dimension
and the minimum distance. Furthermore, we give an expression for the variance
of the syndrome weight of the constructed codes. Information on the LDPC codes
constructed from bipartite cubic symmetric graphs with less than 200 vertices
is presented as well. Some of the constructed codes are optimal, and some have
an additional property of being self-orthogonal or linear codes with
complementary dual (LCD codes).Comment: 17 page
A positivity property of the dimer entropy of graphs
The entropy of a monomer-dimer system on an infinite bipartite lattice can be
written as a mean-field part plus a series expansion in the dimer density. In a
previous paper it has been conjectured that all coefficients of this series are
positive. Analogously on a connected regular graph with vertices, the
"entropy" of the graph , where is the number of ways of
setting down dimers on the graph, can be written as a part depending only
on the number of the dimer configurations over the completed graph plus a
Newton series in the dimer density on the graph. In this paper, we investigate
for which connected regular graphs all the coefficients of the Newton series
are positive (for short, these graphs will be called positive). In the class of
connected regular bipartite graphs, up to , the only non positive graphs
have vertices of degree . From to , the frequency of the
positivity violations in the -regular graphs decreases with increasing .
In the case of connected -regular bipartite graphs, the first violations
occur in two out of the graphs with . We conjecture that for
each degree the frequency of the violations, in the class of the
regular bipartite graphs, goes to zero as tends to infinity. This
graph-positivity property can be extended to non-regular or non-bipartite
graphs. We have examined a large number of rectangular grids of size both with open and periodic boundary conditions. We have observed
positivity violations only for or .Comment: 13 pages, 1 figur
Agglomerative Percolation on Bipartite Networks: A Novel Type of Spontaneous Symmetry Breaking
Ordinary bond percolation (OP) can be viewed as a process where clusters grow
by joining them pairwise, by adding links chosen randomly one by one from a set
of predefined `virtual' links. In contrast, in agglomerative percolation (AP)
clusters grow by choosing randomly a `target cluster' and joining it with all
its neighbors, as defined by the same set of virtual links. Previous studies
showed that AP is in different universality classes from OP for several types
of (virtual) networks (linear chains, trees, Erdos-Renyi networks), but most
surprising were the results for 2-d lattices: While AP on the triangular
lattice was found to be in the OP universality class, it behaved completely
differently on the square lattice. In the present paper we explain this
striking violation of universality by invoking bipartivity. While the square
lattice is a bipartite graph, the triangular lattice is not. In conformity with
this we show that AP on the honeycomb and simple cubic (3-d) lattices -- both
of which are bipartite -- are also not in the OP universality classes. More
precisely, we claim that this violation of universality is basically due to a
Z_2 symmetry that is spontaneously broken at the percolation threshold. We also
discuss AP on bipartite random networks and suitable generalizations of AP on
k-partite graphs.Comment: 11 pages, including 18 figure
Higher order expansions for the entropy of a dimer or a monomer-dimer system on d-dimensional lattices
Recently an expansion as a power series in 1/d has been presented for the
specific entropy of a complete dimer covering of a d-dimensional hypercubic
lattice. This paper extends from 3 to 10 the number of terms known in the
series. Likewise an expansion for the entropy, dependent on the dimer-density
p, of a monomer-dimer system, involving a sum sum_k a_k(d) p^k, has been
recently offered. We herein extend the number of the known expansion
coefficients from 6 to 20 for the hyper-cubic lattices of general dimension d
and from 6 to 24 for the hyper-cubic lattices of dimensions d < 5 . We show
that this extension can lead to accurate numerical estimates of the p-dependent
entropy for lattices with dimension d > 2. The computations of this paper have
led us to make the following marvelous conjecture: "In the case of the
hyper-cubic lattices, all the expansion coefficients, a_k(d), are positive"!
This paper results from a simple melding of two disparate research programs:
one computing to high orders the Mayer series coefficients of a dimer gas, the
other studying the development of entropy from these coefficients. An effort is
made to make this paper self-contained by including a review of the earlier
works.Comment: 17 pages, no figure
Positivity of the virial coefficients in lattice dimer models and upper bounds on the number of matchings on graphs
Using a relation between the virial expansion coefficients of the pressure
and the entropy expansion coefficients in the case of the monomer-dimer model
on infinite regular lattices, we have shown that, on hypercubic lattices of any
dimension, the virial coefficients are positive through the 20th order. We have
observed that all virial coefficients so far known for this system are positive
also on infinite regular lattices with different structure. We are thus led to
conjecture that the virial expansion coefficients are always positive.
These considerations can be extended to the study of related bounds on finite
graphs generalizing the infinite regular lattices, namely the finite grids and
the regular biconnected graphs. The validity of the bounds for , where is the number of configurations
of dimers on the graph and is the forward difference operator, is
shown to correspond to the positivity of the virial coefficients. Our tests on
many finite lattice graphs indicate that on large lattices these bounds are
satisfied, giving support to the conjecture on the positivity of the virial
coefficients. An exhaustive survey of some classes of regular biconnected
graphs with a not too large number of vertices shows only few violations of
these bounds. We conjecture that the frequency of the violations vanishes as . We find rigorous upper bounds on valid for arbitrary graphs
and for regular graphs. The similarity between the Heilman-Lieb inequality and
the one conjectured above suggests that one study the stricter inequality for the virial coefficients, which is valid for all the known
coefficients of the infinite regular lattice models.Comment: 22 pages, 1 figur
Iterated altans and their properties
Recently a class of molecular graphs, called altans, became a focus of
attention of several theoretical chemists and mathematicians. In this paper we
study primary iterated altans and show, among other things, their connections
with nanotubes and nanocaps. The question of classification of bipartite altans
is also addressed. Using the results of Gutman we are able to enumerate
Kekul\'e structures of several nanocaps of arbitrary length.Comment: 13 pages, 12 figure
MAP Estimation, Message Passing, and Perfect Graphs
Efficiently finding the maximum a posteriori (MAP) configuration of a
graphical model is an important problem which is often implemented using
message passing algorithms. The optimality of such algorithms is only well
established for singly-connected graphs and other limited settings. This
article extends the set of graphs where MAP estimation is in P and where
message passing recovers the exact solution to so-called perfect graphs. This
result leverages recent progress in defining perfect graphs (the strong perfect
graph theorem), linear programming relaxations of MAP estimation and recent
convergent message passing schemes. The article converts graphical models into
nand Markov random fields which are straightforward to relax into linear
programs. Therein, integrality can be established in general by testing for
graph perfection. This perfection test is performed efficiently using a
polynomial time algorithm. Alternatively, known decomposition tools from
perfect graph theory may be used to prove perfection for certain families of
graphs. Thus, a general graph framework is provided for determining when MAP
estimation in any graphical model is in P, has an integral linear programming
relaxation and is exactly recoverable by message passing.Comment: Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty
in Artificial Intelligence (UAI2009
Cubical coloring -- fractional covering by cuts and semidefinite programming
We introduce a new graph invariant that measures fractional covering of a
graph by cuts. Besides being interesting in its own right, it is useful for
study of homomorphisms and tension-continuous mappings. We study the relations
with chromatic number, bipartite density, and other graph parameters.
We find the value of our parameter for a family of graphs based on
hypercubes. These graphs play for our parameter the role that circular cliques
play for the circular chromatic number. The fact that the defined parameter
attains on these graphs the `correct' value suggests that the definition is a
natural one. In the proof we use the eigenvalue bound for maximum cut and a
recent result of Engstr\"om, F\"arnqvist, Jonsson, and Thapper.
We also provide a polynomial time approximation algorithm based on
semidefinite programming and in particular on vector chromatic number (defined
by Karger, Motwani and Sudan [Approximate graph coloring by semidefinite
programming, J. ACM 45 (1998), no. 2, 246--265]).Comment: 17 page
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