Locating Equitable Domination and Independence Subdivision Numbers of Graphs

P. Sumathi, G. Alarmelumangai, E. M. G. Yadava
{"title":"Locating Equitable Domination and Independence Subdivision Numbers of Graphs","authors":"P. Sumathi, G. Alarmelumangai, E. M. G. Yadava","doi":"10.18052/WWW.SCIPRESS.COM/BMSA.9.27","DOIUrl":null,"url":null,"abstract":"Let G = (V,E) be a simple, undirected, finite nontrivial graph. A non empty set DV of vertices in a graph G is a dominating set if every vertex in V-D is adjacent to some vertex in D. The domination number (G) is the minimum cardinality of a dominating set of G. A dominating set D is a locating equitable dominating set of G if for any two vertices u,wV- D, N(u)D  N(w)D, N(u)D=N(w)D. The locating equitable domination number of G is the minimum cardinality of a locating equitable dominating set of G. The locating equitable domination subdivision number of G is the minimum number of edges that must be subdivided(where each edge in G can be subdivided at most once) in order to increase the locating equitable domination number and is denoted by sdle(G). The independence subdivision number sdle(G) to equal the minimum number of edges that must be subdivided in order to increase the independence number. In this paper, we establish bounds on sdle(G) and sdle(G) for some families of graphs. For notation and graph theory terminology, we in general follow (3). Specifically, a graph G is a finite nonempty set V(G) of objects called vertices together with a possibly empty set E(G) of 2- element subsets of V(G) called edges. The order of G is n(G) = V(G) and the size of G is m(G) = E(G) . The degree of a vertex vV(G) in G is dG(v) = NG(v) . A vertex of degree one is called an end-vertex. The minimum and maximum degree among the vertices of G is denoted by (G) and (G), respectively. Further for a subset S  V(G), the degree of v in S, denoted ds(v), is the number of vertices in S adjacent to v; that is,ds(v) =N(v)S . In particular, dG(v) = dv(v). if the graph G is clear from the context, we simply write V,E,n,m,d(v),  and  rather than V(G),E(G),n(G),m(G),dG(v), (G) and (G), respectively. The closed neighborhood of a vertex uV is the set N(u)= {u}{v/uv}. Given a set S  V of vertices and a vertex uS, the private neighbor set of u, with respect to S, is the set pn(n,S) = N(u) - N( S - {u}). We say that every vertex vpn(u,S) is a private neighbor of u with respect to S. Such a vertex v is adjacent to u but is not adjacent to any other vertex of S, then it is an isolated vertex in the subgraph G(S) induced by S. In this case, upn(u,S), and we say that u is its own private neighbor. We note that if a set s is a (G)-set, then for every vertex uS, pn(u,S)  , i.e., every vertex of S has at least one private neighbor. It can be seen that if S is a (G)-set, and two vertices u,v S are adjacent, then each of u and v must have a private neighbor other than itself. We will slao use the following terminology. Let vV be a vertex of degree one; v is called a leaf. The only vertex adjacent to a leaf, say u, is called a support vertex, and the edge uv is called a pendant edge.Two edges in a graph G are independent if they are not adjacent in G. The distance dG(u,v) or d(u,v) between two vertices u and v in a graph G, is the length of a shortest path connecting u and v. The diameter of a connected graph G is defined to be max {dG(u,v) :u,vV(G) }. A set DV of vertices is a dominating set if every vertex in V-D is adjacent to","PeriodicalId":252632,"journal":{"name":"Bulletin of Mathematical Sciences and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Mathematical Sciences and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18052/WWW.SCIPRESS.COM/BMSA.9.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Let G = (V,E) be a simple, undirected, finite nontrivial graph. A non empty set DV of vertices in a graph G is a dominating set if every vertex in V-D is adjacent to some vertex in D. The domination number (G) is the minimum cardinality of a dominating set of G. A dominating set D is a locating equitable dominating set of G if for any two vertices u,wV- D, N(u)D  N(w)D, N(u)D=N(w)D. The locating equitable domination number of G is the minimum cardinality of a locating equitable dominating set of G. The locating equitable domination subdivision number of G is the minimum number of edges that must be subdivided(where each edge in G can be subdivided at most once) in order to increase the locating equitable domination number and is denoted by sdle(G). The independence subdivision number sdle(G) to equal the minimum number of edges that must be subdivided in order to increase the independence number. In this paper, we establish bounds on sdle(G) and sdle(G) for some families of graphs. For notation and graph theory terminology, we in general follow (3). Specifically, a graph G is a finite nonempty set V(G) of objects called vertices together with a possibly empty set E(G) of 2- element subsets of V(G) called edges. The order of G is n(G) = V(G) and the size of G is m(G) = E(G) . The degree of a vertex vV(G) in G is dG(v) = NG(v) . A vertex of degree one is called an end-vertex. The minimum and maximum degree among the vertices of G is denoted by (G) and (G), respectively. Further for a subset S  V(G), the degree of v in S, denoted ds(v), is the number of vertices in S adjacent to v; that is,ds(v) =N(v)S . In particular, dG(v) = dv(v). if the graph G is clear from the context, we simply write V,E,n,m,d(v),  and  rather than V(G),E(G),n(G),m(G),dG(v), (G) and (G), respectively. The closed neighborhood of a vertex uV is the set N(u)= {u}{v/uv}. Given a set S  V of vertices and a vertex uS, the private neighbor set of u, with respect to S, is the set pn(n,S) = N(u) - N( S - {u}). We say that every vertex vpn(u,S) is a private neighbor of u with respect to S. Such a vertex v is adjacent to u but is not adjacent to any other vertex of S, then it is an isolated vertex in the subgraph G(S) induced by S. In this case, upn(u,S), and we say that u is its own private neighbor. We note that if a set s is a (G)-set, then for every vertex uS, pn(u,S)  , i.e., every vertex of S has at least one private neighbor. It can be seen that if S is a (G)-set, and two vertices u,v S are adjacent, then each of u and v must have a private neighbor other than itself. We will slao use the following terminology. Let vV be a vertex of degree one; v is called a leaf. The only vertex adjacent to a leaf, say u, is called a support vertex, and the edge uv is called a pendant edge.Two edges in a graph G are independent if they are not adjacent in G. The distance dG(u,v) or d(u,v) between two vertices u and v in a graph G, is the length of a shortest path connecting u and v. The diameter of a connected graph G is defined to be max {dG(u,v) :u,vV(G) }. A set DV of vertices is a dominating set if every vertex in V-D is adjacent to
图的公平支配和独立细分数的定位
设G = (V,E)是一个简单的,无向的,有限的非平凡图。一个非空集DV图G的顶点是一组控制如果每个顶点在V-D毗邻一些顶点在D .统治数量(G)的最低基数是一组主导的G .支配集D是一套定位合理支配的G如果任意两个顶点u, wV - D, N (u)DN (w)D,N (u)D=N (w)D。G的定位公平统治数是G的定位公平统治集的最小基数。G的定位公平统治细分数是为了增加定位公平统治数而必须细分的最小边数(其中G中的每条边最多可以细分一次),用sdle(G)表示。独立细分数sdle(G)等于为了增加独立数而必须细分的最小边数。本文建立了一些图族的sdle(G)和sdle(G)上的界。对于符号和图论术语,我们一般遵循(3)。具体地说,图G是一个有限的非空集合V(G)的对象称为顶点,以及一个可能的空集合E(G) V(G)的2元素子集称为边。G的阶为n(G) =V(G),G的大小为m(G) =E(G)。顶点vv (G)在G中的度为dG(v) =NG(v)。一次顶点称为终顶点。G的顶点之间的最小度(G)和最大度()分别表示为:进一步地,对于子集SV(G), V在S中的度,记为ds(V),是S中与V相邻的顶点的个数;即ds(v) =N(v)S。特别地,dG(v) = dv(v)如果从上下文中可以清楚地看出图G,我们可以简单地写成V、E、n、m、d(V)、电子化和,而不是分别写成V(G)、E(G)、n(G)、m(G)、dG(V)、电子化(G)和(G)。顶点uV的闭邻域是集合N(u)= {u}{V /uv}。给定一个由顶点组成的集合SV和一个顶点uS,则u关于S的私有邻居集是集合pn(n,S) = n(u) - n(S - {u})。我们说每个顶点vpn(u,S)是u关于S的一个私有邻居,如果顶点v与u相邻但不与S的任何其他顶点相邻,那么它就是S诱导的子图G(S)中的一个孤立顶点,在这种情况下,upn(u,S),我们说u是它自己的私有邻居。我们注意到,如果一个集合s是(G)-集合,那么对于每个顶点us, pn(u, s),即s的每个顶点至少有一个私有邻居。可以看出,如果S是(G)-集合,并且两个顶点u,vS相邻,则u和v必须有一个除自身以外的私有邻居。我们将继续使用以下术语。设vv为一次顶点;V被称为叶子。与叶子相邻的唯一顶点,比如u,被称为支撑顶点,而边uv被称为垂边。如果图G中的两条边在G中不相邻,则它们是独立的。图G中两个顶点u和v之间的距离dG(u,v)或d(u,v)是连接u和v的最短路径的长度。连通图G的直径定义为max {dG(u,v):u,vv (G)}。由顶点组成的集合DV是支配集如果V-D中的每个顶点相邻于
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