3 research outputs found

    The Detour Monophonic Convexity Number of a Graph

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    A set  is detour monophonic convexif  The detour monophonic convexity number is denoted by  is the cardinality of a maximum proper detour monophonic convex subset of  Some general properties satisfied by this concept are studied. The detour monophonic convexity number of certain classes of graphs are determined. It is shown that for every pair of integers   and  with  there exists a connected graph  such that   and , where  is the monophonic convexity number of

    Enumerating the Digitally Convex Sets of Powers of Cycles and Cartesian Products of Paths and Complete Graphs

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    Given a finite set VV, a convexity C\mathscr{C}, is a collection of subsets of VV that contains both the empty set and the set VV and is closed under intersections. The elements of C\mathscr{C} are called convex sets. The digital convexity, originally proposed as a tool for processing digital images, is defined as follows: a subset S⊆V(G)S\subseteq V(G) is digitally convex if, for every v∈V(G)v\in V(G), we have N[v]⊆N[S]N[v]\subseteq N[S] implies v∈Sv\in S. The number of cyclic binary strings with blocks of length at least kk is expressed as a linear recurrence relation for k≥2k\geq 2. A bijection is established between these cyclic binary strings and the digitally convex sets of the (k−1)th(k-1)^{th} power of a cycle. A closed formula for the number of digitally convex sets of the Cartesian product of two complete graphs is derived. A bijection is established between the digitally convex sets of the Cartesian product of two paths, Pn□PmP_n \square P_m, and certain types of n×mn \times m binary arrays.Comment: 16 pages, 3 figures, 1 tabl

    Minimal trees and monophonic convexity

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    Let V be a finite set and a collection of subsets of V. Then is an alignment of V if and only if is closed under taking intersections and contains both V and the empty set. If is an alignment of V, then the elements of are called convex sets and the pair (V, ) is called an alignment or a convexity. If S ⊆ V, then the convex hull of S is the smallest convex set that contains S. Suppose X ∈ ℳ. Then x ∈ X is an extreme point for X if X∖{x} ∈ ℳ. A convex geometry on a finite set is an aligned space with the additional property that every convex set is the convex hull of its extreme points. Let G = (V,E) be a connected graph and U a set of vertices of G. A subgraph T of G containing U is a minimal U-tree if T is a tree and if every vertex of V(T)∖U is a cut-vertex of the subgraph induced by V(T). The monophonic interval of U is the collection of all vertices of G that belong to some minimal U-tree. Several graph convexities are defined using minimal U-trees and structural characterizations of graph classes for which the corresponding collection of convex sets is a convex geometry are characterized
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