235 research outputs found
Combinatorial modulus and type of graphs
Let a be the 1-skeleton of a triangulated topological annulus. We
establish bounds on the combinatorial modulus of a refinement , formed by
attaching new vertices and edges to , that depend only on the refinement and
not on the structure of itself. This immediately applies to showing that a
disk triangulation graph may be refined without changing its combinatorial
type, provided the refinement is not too wild. We also explore the type problem
in terms of disk growth, proving a parabolicity condition based on a
superlinear growth rate, which we also prove optimal. We prove our results with
no degree restrictions in both the EEL and VEL settings and examine type
problems for more general complexes and dual graphs.Comment: 24 pages, 12 figure
On domination problems for permutation and other graphs
AbstractThere is an increasing interest in results on the influence of restricting NP-complete graph problems to special classes of perfect graphs as, e.g., permutation graphs. It was shown that several problems restricted to permutation graphs are solvable in polynomial time [2, 3, 4, 6, 7, 14, 16].In this paper we give 1.(i) an algorithm with time bound O(n2) for the weighted independent domination problem on permutation graphs (which is an improvement of the O(n3) solution given in [7]);2.(ii) a polynomial time solution for the weighted feedback vertex set problem on permutation graphs;3.(iii) an investigation of (weighted) dominating clique problems for several graph classes including an NP-completeness result for weakly triangulated graphs as well as polynomial time bounds
Perfect Graphs
This chapter is a survey on perfect graphs with an algorithmic flavor. Our emphasis is on important classes of perfect graphs for which there are fast and efficient recognition and optimization algorithms. The classes of graphs we discuss in this chapter are chordal, comparability, interval, perfectly orderable, weakly chordal, perfectly contractile, and chi-bound graphs. For each of these classes, when appropriate, we discuss the complexity of the recognition algorithm and algorithms for finding a minimum coloring, and a largest clique in the graph and its complement
Closed orders and closed graphs
The class of closed graphs by a linear ordering on their sets of vertices is
investigated. A recent characterization of such a class of graphs is analyzed
by using tools from the proper interval graph theory.Comment: 8 pages. To appear in Analele Stiintifice ale Universitatii Ovidius
Constant
Hamiltonian paths, unit-interval complexes, and determinantal facet ideals
We study d-dimensional generalizations of three mutually related topics in
graph theory: Hamiltonian paths, (unit) interval graphs, and binomial edge
ideals. We provide partial high-dimensional generalizations of Ore and Posa's
sufficient conditions for a graph to be Hamiltonian. We introduce a hierarchy
of combinatorial properties for simplicial complexes that generalize
unit-interval, interval, and co-comparability graphs. We connect these
properties to the already existing notions of determinantal facet ideals and
Hamiltonian paths in simplicial complexes. Some important consequences of our
work are:
(1) Every almost-closed strongly-connected d-dimensional simplicial complex
is traceable. (This extends the well-known result "unit-interval connected
graphs are traceable".)
(2) Every almost-closed d-complex that remains strongly connected after the
deletion of d or less vertices, is Hamiltonian. (This extends the fact that
"unit-interval 2-connected graphs are Hamiltonian".)
(3) Unit-interval complexes are characterized, among traceable complexes, by
the property that the minors defining their determinantal facet ideal form a
Groebner basis for a diagonal term order which is compatible with the
traceability of the complex. (This corrects a recent theorem by Ene et al.,
extends a result by Herzog and others, and partially answers a question by
Almousa-Vandebogert.)
(4) Only the d-skeleton of the simplex has a determinantal facet ideal with
linear resolution. (This extends the result by Kiani and Saeedi-Madani that
"only the complete graph has a binomial edge ideal with linear resolution".)
(5) The determinantal facet ideals of all under-closed and semi-closed
complexes have a square-free initial ideal with respect to lex. In
characteristic p, they are even F-pure.Comment: 41 pages, 5 figures; improved and extended version, with Main Theorem
V, Lemma 48, and Corollary 81 added, plus minor corrections and
strengthening
Perfectly contractile graphs and quadratic toric rings
Perfect graphs form one of the distinguished classes of finite simple graphs.
In 2006, Chudnovsky, Robertson, Saymour and Thomas proved that a graph is
perfect if and only if it has no odd holes and no odd antiholes as induced
subgraphs, which was conjectured by Berge. We consider the class
of graphs that have no odd holes, no antiholes and no odd stretchers as induced
subgraphs. In particular, every graph belonging to is perfect.
Everett and Reed conjectured that a graph belongs to if and only
if it is perfectly contractile. In the present paper, we discuss graphs
belonging to from a viewpoint of commutative algebra. In fact,
we conjecture that a perfect graph belongs to if and only if
the toric ideal of the stable set polytope of is generated by quadratic
binomials. Especially, we show that this conjecture is true for Meyniel graphs,
perfectly orderable graphs, and clique separable graphs, which are perfectly
contractile graphs.Comment: 10 page
On the Kernel and Related Problems in Interval Digraphs
Given a digraph , a set is said to be absorbing set
(resp. dominating set) if every vertex in the graph is either in or is an
in-neighbour (resp. out-neighbour) of a vertex in . A set
is said to be an independent set if no two vertices in are adjacent in .
A kernel (resp. solution) of is an independent and absorbing (resp.
dominating) set in . We explore the algorithmic complexity of these problems
in the well known class of interval digraphs. A digraph is an interval
digraph if a pair of intervals can be assigned to each vertex
of such that if and only if .
Many different subclasses of interval digraphs have been defined and studied in
the literature by restricting the kinds of pairs of intervals that can be
assigned to the vertices. We observe that several of these classes, like
interval catch digraphs, interval nest digraphs, adjusted interval digraphs and
chronological interval digraphs, are subclasses of the more general class of
reflexive interval digraphs -- which arise when we require that the two
intervals assigned to a vertex have to intersect. We show that all the problems
mentioned above are efficiently solvable, in most of the cases even linear-time
solvable, in the class of reflexive interval digraphs, but are APX-hard on even
the very restricted class of interval digraphs called point-point digraphs,
where the two intervals assigned to each vertex are required to be degenerate,
i.e. they consist of a single point each. The results we obtain improve and
generalize several existing algorithms and structural results for subclasses of
reflexive interval digraphs.Comment: 26 pages, 3 figure
A characterization of b-perfect graphs
A b-coloring is a coloring of the vertices of a graph such that each color
class contains a vertex that has a neighbor in all other color classes, and the
b-chromatic number of a graph is the largest integer such that
admits a b-coloring with colors. A graph is b-perfect if the b-chromatic
number is equal to the chromatic number for every induced subgraph of . We
prove that a graph is b-perfect if and only if it does not contain as an
induced subgraph a member of a certain list of twenty-two graphs. This entails
the existence of a polynomial-time recognition algorithm and of a
polynomial-time algorithm for coloring exactly the vertices of every b-perfect
graph
Recognition of some perfectly orderable graph classes
AbstractThis paper presents new algorithms for recognizing several classes of perfectly orderable graphs. Bipolarizable and P4-simplicial graphs are recognized in O(n3.376) time, improving the previous bounds of O(n4) and O(n5), respectively. Brittle and semi-simplicial graphs are recognized in O(n3) time using a randomized algorithm, and O(n3log2n) time if a deterministic algorithm is required. The best previous time bound for recognizing these classes of graphs is O(m2). Welsh–Powell opposition graphs are recognized in O(n3) time, improving the previous bound of O(n4). HHP-free graphs and maxibrittle graphs are recognized in O(mn) and O(n3.376) time, respectively
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