Facet-inducing web and antiweb inequalities for the graph coloring polytope

For a graph G and its complement , we define the graph coloring polytope P(G) to be the convex hull of the incidence vectors of star partitions of . We examine inequalities whose support graphs are webs and antiwebs appearing as induced subgraphs in G. We show that for an antiweb in G the corresponding inequality is facet-inducing for P(G) if and only if is critical with respect to vertex colorings. An analogous result is also proved for the web inequalities.     

On a convex operator for finite sets

Let S be a finite set with m elements in a real linear space and let J_S be a set of m intervals in R. We introduce a convex operator co(S,J_S) which generalizes the familiar concepts of the convex hull, , and the affine hull, , of S. We prove that each homothet of that is contained in can be obtained using this operator. A variety of convex subsets of with interesting combinatorial properties can also be obtained. For example, this operator can assign a regular dodecagon to the 4-element set consisting of the vertices and the orthocenter of an equilateral triangle. For two types of families J_S we give two different upper bounds for the number of vertices of the polytopes produced as co(S,J_S). Our motivation comes from a recent improvement of the well-known Gauss-Lucas theorem. It turns out that a particular convex set co(S,J_S) plays a central role in this improvement.     

Full orientability of graphs with at most one dependent arc

Suppose that D is an acyclic orientation of a graph G. An arc of D is dependent if its reversal creates a directed cycle. Let () denote the minimum (maximum) of the number of dependent arcs over all acyclic orientations of G. We call Gfully orientable if G has an acyclic orientation with exactly d dependent arcs for every d satisfying . We show that a connected graph G is fully orientable if . This generalizes the main result in Fisher et al. [D.C. Fisher, K. Fraughnaugh, L. Langley, D.B. West, The number of dependent arcs in an acyclic orientation, J. Combin. Theory Ser. B 71 (1997) 73-78].     

Discrete approximations to real-valued leaf sequencing problems in radiation therapy

For a given m×n nonnegative real matrix A, a segmentation with 1-norm relative error e is a set of pairs (α,S)={(α₁,S₁),(α₂,S₂),…,(α_k,S_k)}, where each α_i is a positive number and S_i is an m×n binary matrix, and , where |A|₁ is the 1-norm of a vector which consists of all the entries of the matrix A. In certain radiation therapy applications, given A and positive scalars γ,δ, we consider the optimization problem of finding a segmentation (α,S) that minimizes subject to certain constraints on S_i. This problem poses a major challenge in preparing a clinically acceptable treatment plan for Intensity Modulated Radiation Therapy (IMRT) and is known to be NP-hard. Known discrete IMRT algorithms use alternative objectives for this problem and an L-level entrywise approximation (i.e. each entry in A is approximated by the closest entry in a set of L equally-spaced integers), and produce a segmentation that satisfies . In this paper we present two algorithms that focus on the original non-discretized intensity matrix and consider measures of delivery quality and complexity (∑α_i+γk) as well as approximation error e. The first algorithm uses a set partitioning approach to approximate A by a matrix that leads to segmentations with smaller k for a given e. The second algorithm uses a constrained least square approach to post-process a segmentation of to replace with real-valued α_i in order to reduce k and e.     

On strong unimodality of multivariate discrete distributions

A discrete function f defined on Zⁿ is said to be logconcave if for , , . A more restrictive notion is strong unimodality. Following Barndorff-Nielsen [O. Barndorff-Nielsen, Unimodality and exponential families, Commun. Statist. 1 (1973) 189-216] a discrete function is called strongly unimodal if there exists a convex function such that  if . In this paper sufficient conditions that ensure the strong unimodality of a multivariate discrete distribution, are given. Examples of strongly unimodal multivariate discrete distributions are presented.     

Forwarding and optical indices of a graph

Motivated by wavelength-assignment problems for all-to-all traffic in optical networks, we study graph parameters related to sets of paths connecting all pairs of vertices. We consider sets of both undirected and directed paths, under minimisation criteria known as edge congestion and wavelength count; this gives rise to four parameters of a graph G: its edge forwarding index π(G), arc forwarding index , undirected optical index , and directed optical index .In the paper we address two long-standing open problems: whether the equality holds for all graphs, and whether indices π(G) and are hard to compute. For the first problem, we give an example of a family of planar graphs {G_k} such that . For the second problem, we show that determining either π(G) or is NP-hard.     

On the degree distance of a graph

If G is a connected graph with vertex set V, then the degree distance of G, D^′(G), is defined as , where degw is the degree of vertex w, and d(u,v) denotes the distance between u and v. We prove the asymptotically sharp upper bound for graphs of order n and diameter d. As a corollary we obtain the bound for graphs of order n. This essentially proves a conjecture by Tomescu [I. Tomescu, Some extremal properties of the degree distance of a graph, Discrete Appl. Math. (98) (1999) 159-163].     

Two classes of edge domination in graphs

Let (, resp.) be the number of (local) signed edge domination of a graph G [B. Xu, On signed edge domination numbers of graphs, Discrete Math. 239 (2001) 179-189]. In this paper, we prove mainly that and hold for any graph G of order n(n?4), and pose several open problems and conjectures.