60 research outputs found
Subgraph densities and scaling limits of random graphs with a prescribed modular decomposition
We consider large uniform labeled random graphs in different classes with
prescribed decorations in their modular decomposition. Our main result is the
estimation of the number of copies of every graph as an induced subgraph. As a
consequence, we obtain the convergence of a uniform random graph in such
classes to a Brownian limit object in the space of graphons.
Our proofs rely on combinatorial arguments, computing generating series using
the symbolic method and deriving asymptotics using singularity analysis.Comment: 32 pages, 11 figures. arXiv admin note: substantial text overlap with
arXiv:2301.1360
Representation of graphs by OBDDs
AbstractRecently, it has been shown in a series of works that the representation of graphs by Ordered Binary Decision Diagrams (OBDDs) often leads to good algorithmic behavior. However, the question for which graph classes an OBDD representation is advantageous, has not been investigated, yet. In this paper, the space requirements for the OBDD representation of certain graph classes, specifically cographs, several types of graphs with few P4s, unit interval graphs, interval graphs and bipartite graphs are investigated. Upper and lower bounds are proven for all these graph classes and it is shown that in most (but not all) cases a representation of the graphs by OBDDs is advantageous with respect to space requirements
Reconstructing Gene Trees From Fitch's Xenology Relation
Two genes are xenologs in the sense of Fitch if they are separated by at
least one horizontal gene transfer event. Horizonal gene transfer is asymmetric
in the sense that the transferred copy is distinguished from the one that
remains within the ancestral lineage. Hence xenology is more precisely thought
of as a non-symmetric relation: is xenologous to if has been
horizontally transferred at least once since it diverged from the least common
ancestor of and . We show that xenology relations are characterized by a
small set of forbidden induced subgraphs on three vertices. Furthermore, each
xenology relation can be derived from a unique least-resolved edge-labeled
phylogenetic tree. We provide a linear-time algorithm for the recognition of
xenology relations and for the construction of its least-resolved edge-labeled
phylogenetic tree. The fact that being a xenology relation is a heritable graph
property, finally has far-reaching consequences on approximation problems
associated with xenology relations
Finding combinatorial structures
In this thesis we answer questions in two related areas of combinatorics:
Ramsey theory and asymptotic enumeration.
In Ramsey theory we introduce a new method for finding desired structures.
We find a new upper bound on the Ramsey number of a path against a kth
power of a path.
Using our new method and this result we obtain a new upper bound on the
Ramsey number of the kth power of a long cycle.
As a corollary we show that, while graphs on n vertices with maximum
degree k may in general have Ramsey numbers as large as ckn, if the stronger
restriction that the bandwidth should be at most k is given, then the Ramsey
numbers are bounded by the much smaller value.
We go on to attack an old conjecture of Lehel: by using our new method
we can improve on a result of Luczak, Rodl and Szemeredi [60]. Our new
method replaces their use of the Regularity Lemma, and allows us to prove
that for any n > 218000, whenever the edges of the complete graph on n
vertices are two-coloured there exist disjoint monochromatic cycles covering
all n vertices.
In asymptotic enumeration we examine first the class of bipartite graphs
with some forbidden induced subgraph H. We obtain some results for every
H, with special focus on the cases where the growth speed of the class is
factorial, and make some comments on a connection to clique-width. We
then move on to a detailed discussion of 2-SAT functions. We find the correct
asymptotic formula for the number of 2-SAT functions
on n variables (an improvement on a result of Bollob´as, Brightwell and
Leader [13], who found the dominant term in the exponent), the first error
term for this formula, and some bounds on smaller error terms. Finally
we obtain various expected values in the uniform model of random 2-SAT
functions
Exploring Subexponential Parameterized Complexity of Completion Problems
Let be a family of graphs. In the -Completion problem,
we are given a graph and an integer as input, and asked whether at most
edges can be added to so that the resulting graph does not contain a
graph from as an induced subgraph. It appeared recently that special
cases of -Completion, the problem of completing into a chordal graph
known as Minimum Fill-in, corresponding to the case of , and the problem of completing into a split graph,
i.e., the case of , are solvable in parameterized
subexponential time . The exploration of this
phenomenon is the main motivation for our research on -Completion.
In this paper we prove that completions into several well studied classes of
graphs without long induced cycles also admit parameterized subexponential time
algorithms by showing that:
- The problem Trivially Perfect Completion is solvable in parameterized
subexponential time , that is -Completion for , a cycle and a path on four
vertices.
- The problems known in the literature as Pseudosplit Completion, the case
where , and Threshold Completion, where , are also solvable in time .
We complement our algorithms for -Completion with the following
lower bounds:
- For , , , and
, -Completion cannot be solved in time
unless the Exponential Time Hypothesis (ETH) fails.
Our upper and lower bounds provide a complete picture of the subexponential
parameterized complexity of -Completion problems for .Comment: 32 pages, 16 figures, A preliminary version of this paper appeared in
the proceedings of STACS'1
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