Prime Labeling of Split Graph of Star K1,N
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Finding Articulation Points and Bridges Articulation Points Articulation Point
Finding Articulation Points and Bridges Articulation Points Articulation Point Articulation Point A vertex v is an articulation point (also called cut vertex) if removing v increases the number of connected components. A graph with two articulation points. 3 / 1 Articulation Points Given I An undirected, connected graph G = (V; E) I A DFS-tree T with the root r Lemma A DFS on an undirected graph does not produce any cross edges. Conclusion I If a descendant u of a vertex v is adjacent to a vertex w, then w is a descendant or ancestor of v. 4 / 1 Removing a Vertex v Assume, we remove a vertex v 6= r from the graph. Case 1: v is an articulation point. I There is a descendant u of v which is no longer reachable from r. I Thus, there is no edge from the tree containing u to the tree containing r. Case 2: v is not an articulation point. I All descendants of v are still reachable from r. I Thus, for each descendant u, there is an edge connecting the tree containing u with the tree containing r. 5 / 1 Removing a Vertex v Problem I v might have multiple subtrees, some adjacent to ancestors of v, and some not adjacent. Observation I A subtree is not split further (we only remove v). Theorem A vertex v is articulation point if and only if v has a child u such that neither u nor any of u's descendants are adjacent to an ancestor of v. Question I How do we determine this efficiently for all vertices? 6 / 1 Detecting Descendant-Ancestor Adjacency Lowpoint The lowpoint low(v) of a vertex v is the lowest depth of a vertex which is adjacent to v or a descendant of v. -
A Note on Soenergy of Stars, Bi-Stars and Double Star Graphs
BULLETIN OF THE INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN (p) 2303-4874, ISSN (o) 2303-4955 www.imvibl.org /JOURNALS / BULLETIN Vol. 6(2016), 105-113 Former BULLETIN OF THE SOCIETY OF MATHEMATICIANS BANJA LUKA ISSN 0354-5792 (o), ISSN 1986-521X (p) A NOTE ON soENERGY OF STARS, BISTAR AND DOUBLE STAR GRAPHS S. P. Jeyakokila and P. Sumathi Abstract. Let G be a finite non trivial connected graph.In the earlier paper idegree, odegree, oidegree of a minimal dominating set of G were introduced, oEnergy of a graph with respect to the minimal dominating set was calculated in terms of idegree and odegree. Algorithm to get the soEnergy was also introduced and soEnergy was calculated for some standard graphs in the earlier papers. In this paper soEnergy of stars, bistars and double stars with respect to the given dominating set are found out. 1. INTRODUCTION Let G = (V; E) be a finite non trivial connected graph. A set D ⊂ V is a dominating set of G if every vertex in V − D is adjacent to some vertex in D.A dominating set D of G is called a minimal dominating set if no proper subset of D is a dominating set. Star graph is a tree consisting of one vertex adjacent to all the others. Bistar is a graph obtained from K2 by joining n pendent edges to both the ends of K2. Double star is the graph obtained from K2 by joining m pendent edges to one end and n pendent edges to the other end of K2. -
Total Chromatic Number of Star and Bistargraphs 1D
International Journal of Pure and Applied Mathematics Volume 117 No. 21 2017, 699-708 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu Total Chromatic Number of Star and BistarGraphs 1D. Muthuramakrishnanand 2G. Jayaraman 1Department of Mathematics, National College, Trichy, Tamil Nadu, India. [email protected] 2Research Scholar, National College, Trichy, Tamil Nadu, India. [email protected] Abstract A total coloring of a graph G is an assignment of colors to both the vertices and edges of G, such that no two adjacent or incident vertices and edges of G are assigned the same colors. In this paper, we have discussed 2 the total coloring of 푀 퐾1,푛 , 푇 퐾1,푛 , 퐿 퐾1,푛 and 퐵푛,푛and we obtained the 2 total chromatic number of 푀 퐾1,푛 , 푇 퐾1,푛 , 퐿 퐾1,푛 and 퐵푛,푛. AMS Subject Classification: 05C15 Keywords and Phrases:Middle graph, line graph, total graph, star graph, square graph, total coloring and total chromatic number. 699 International Journal of Pure and Applied Mathematics Special Issue 1. Introduction In this paper, we have chosen finite, simple and undirected graphs. Let퐺 = (푉 퐺 , 퐸 퐺 ) be a graph with the vertex set 푉(퐺) and the edge set E(퐺), respectively. In 1965, the concept of total coloring was introduced by Behzad [1] and in 1967 he [2] came out new ideology that, the total chromatic number of complete graph and complete bi-partite graph. A total coloring of퐺, is a function 푓: 푆 → 퐶, where 푆 = 푉 퐺 ∪ 퐸 퐺 and C is a set of colors to satisfies the given conditions. -
Achromatic Coloring on Double Star Graph Families
International J.Math. Combin. Vol.3 (2009), 71-81 Achromatic Coloring on Double Star Graph Families Vernold Vivin J. Department of Mathematics, Sri Shakthi Institute of Engineering and Technology, Coimbatore - 641 062, Tamil Nadu, India. E-mail: vernold [email protected], [email protected] Venkatachalam M. Department of Mathematics, SSK College of Engineering and Technology, Coimbatore - 641 105, Tamil Nadu, India. E-mail: [email protected] Akbar Ali M.M. Department of Mathematics, Sri Shakthi Institute of Engineering and Technology, Coimbatore - 641 062, Tamil Nadu, India. E-mail: um [email protected] Abstract: The purpose of this article is to find the achromatic number, i.e., Smarandachely achromatic 1-coloring for the central graph, middle graph, total graph and line graph of double star graph K1,n,n denoted by C(K1,n,n), M(K1,n,n), T (K1,n,n) and L(K1,n,n) re- spectively. Keywords: Smarandachely achromatic k-coloring, Smarandachely achromatic number, central graph, middle graph, total graph, line graph and achromatic coloring. AMS(2000): 05C15 §1. Preliminaries For a given graph G = (V, E) we do an operation on G, by subdividing each edge exactly once and joining all the non adjacent vertices of G. The graph obtained by this process is called central graph [10] of G denoted by C(G). Let G be a graph with vertex set V (G) and edge set E(G). The middle graph [4] of G, denoted by M(G) is defined as follows. The vertex set of M(G) is V (G) E(G). Two vertices ∪ x, y in the vertex set of M(G) are adjacent in M(G) in case one of the following holds: (i) x, y are in E(G) and x, y are adjacent in G. -
Even Star Decomposition of Complete Bipartite Graphs
Journal of Mathematics Research; Vol. 8, No. 5; October 2016 ISSN 1916-9795 E-ISSN 1916-9809 Published by Canadian Center of Science and Education Even Star Decomposition of Complete Bipartite Graphs E. Ebin Raja Merly1 & J. Suthiesh Goldy2 1 Nesamony Memorial Christian college, Marthandam, KanyakumarI District, Tamilnadu-629165, India 2 Research scholar, Nesamony Memorial Christian college, Marthandam, Kanyakumari District, Tamilnadu-629165, India Correspondence: J. Suthiesh Goldy, Research Scholar, Nesamony Memorial Christian college, Marthandam, KanyakumarI District, Tamilnadu-629165, India. Email: [email protected] Received: August 24, 2016 Accepted: September 5, 2016 Online Published: September 27, 2016 doi:10.5539/jmr.v8n5p101 URL: http://dx.doi.org/10.5539/jmr.v8n5p101 Abstract A decomposition (G1, G2, G3, , Gn) of a graph G is an Arithmetic Decomposition(AD) if |E(G i)| = a + (i – 1)d for all i = 1, 2, , n and a, d Z+. Clearly q = n [2a + (n – 1)d]. The AD is a CMD if a = 1 and d = 1. In this paper we 2 introduced the new concept Even Decomposition of graphs. If a = 2 and d = 2 in AD, then q = n(n + 1). That is, the number of edges of G is the sum of first n even numbers 2, 4, 6, , 2n. Thus we call the AD with a = 2 and d = 2 as Even Decomposition. Since the number of edges of each subgraph of G is even, we denote the Even Decomposition as (G2, G4, , G2n). Keywords: Continuous Monotonic Decomposition, Decomposition of graph, Even Decomposition, Even Star Decomposition (ESD) 1. Introduction All basic terminologies from Graph Theory are used in this paper in the sense of Frank Harary. -
Star Arboricity
COMBINATORICA COMBINATORICA12 (4) (1992) 375-380 Akad~miai Kiadd - Springer-Verlag STAR ARBORICITY NOGA ALON, COLIN McDIARMID and BRUCE REED Received September 11, 1989 A star forest is a forest all of whose components are stars. The star arboricity, st(G) of a graph G is the minimum number of star forests whose union covers all the edges of G. The arboricity, A(G), of a graph G is the minimum number of forests whose union covers all the edges of G. Clearly st(G) > A(G). In fact, Algor and Alon have given examples which show that in some cases st(G) can be as large as A(G)+ f~(log/k) (where s is the maximum degree of a vertex in G). We show that for any graph G, st(G) <_A(G) + O(log ~). 1. Introduction All graphs considered here are finite and simple. For a graph H, let E(H) denote the set of its edges, and let V(H) denote the set of its vertices. A star is a tree with at most one vertex whose degree is not one. A star forest is a forest whose connected components are stars. The star arboricity of a graph G, denoted st(G), is the minimum number of star forests whose union covers all edges of G. The arboricity of G, denoted A(G) is the minimum number of forests needed to cover all edges of G. Clearly, st(G) > A(G) by definition. Furthermore, it is easy to see that any tree can be covered by two star forests. -
Star Coloring Outerplanar Bipartite Graphs
Discussiones Mathematicae Graph Theory 39 (2019) 899–908 doi:10.7151/dmgt.2109 STAR COLORING OUTERPLANAR BIPARTITE GRAPHS Radhika Ramamurthi and Gina Sanders Department of Mathematics California State University San Marcos San Marcos, CA 92096-0001 USA e-mail: [email protected] Abstract A proper coloring of the vertices of a graph is called a star coloring if at least three colors are used on every 4-vertex path. We show that all outerplanar bipartite graphs can be star colored using only five colors and construct the smallest known example that requires five colors. Keywords: chromatic number, star coloring, outerplanar bipartite graph. 2010 Mathematics Subject Classification: 05C15. 1. Introduction A proper r-coloring of a graph G is an assignment of labels from {1, 2,...,r} to the vertices of G so that adjacent vertices receive distinct colors. The minimum r so that G has a proper r-coloring is called the chromatic number of G, denoted by χ(G). The chromatic number is one of the most studied parameters in graph theory, and by convention, the term coloring of a graph is usually used instead of proper coloring. In 1973, Gr¨unbaum [5] considered proper colorings with the additional constraint that the subgraph induced by every pair of color classes is acyclic, i.e., contains no cycles. He called such colorings acyclic colorings, and the minimum r such that G has an acyclic r-coloring is called the acyclic chromatic number of G, denoted by a(G). In introducing the notion of an acyclic coloring, Gr¨unbaum noted that the condition that the union of any two color classes induces a forest can be generalized to other bipartite graphs. -
Branchwidth of Graphic Matroids
Branchwidth of graphic matroids. Fr´ed´eric Mazoit∗ and St´ephan Thomass´e† Abstract Answering a question of Geelen, Gerards, Robertson and Whittle [1], we prove that the branchwidth of a bridgeless graph is equal to the branch- width of its cycle matroid. Our proof is based on branch-decompositions of hypergraphs. By matroid duality, a direct corollary of this result is that the branchwidth of a bridgeless planar graph is equal to the branchwidth of its planar dual. This consequence was a direct corollary of a result by Seymour and Thomas [4]. 1 Introduction. The notion of branchwidth was introduced by Robertson and Seymour in their seminal paper Graph Minors X [3]. Very roughly speaking, the goal is to decom- pose a structure S along a tree T in such a way that subsets of S corresponding to disjoint branches of T are pairwise as disjoint as possible. One can define the branchwidth of various structures like graphs, hypergraphs, matroids, sub- modular functions... Our goal in this paper is to prove that the definitions of branchwidth for graphs and matroids coincide in the sense that the branchwidth of a bridgeless graph is equal to the branchwidth of its cycle matroid. Let us now define properly what these definitions are. Let H = (V, E) be a graph, or a hypergraph, and (E1,E2) be a partition of E. The border of (E1,E2) is the set of vertices δ(E1,E2) which belong to both an edge of E1 and an edge of E2. We write it δ(E1,E2), or simply δ(E1). -
2. 3-Equitable Labeling for Some Star and Bistar Related Graphs
INTERNATIONAL JOURNAL OF MATHEMATICS AND SCIENTIFIC COMPUTING (ISSN: 2231-5330), VOL. 2, NO. 1, 2012 3 3-Equitable Labeling for Some Star and Bistar Related Graphs S.K. Vaidya and N.H. Shah Abstract—In this paper we prove that the splitting graphs of The concept of 3-equitable labeling was introduced by K B 1,n and n,n are 3-equitable graphs. We also show that the Cahit [1] and he proved that an Eulerian graph with number B shadow graph of n,n is a 3-equitable graph. Further we prove of edges congruent to 3(mod 6) is not 3-equitable. In the that square graph of Bn,n is 3-equitable for n ≡ 0(mod 3) and n ≡ 1(mod 3) and not 3-equitable for n ≡ 2(mod 3). same paper he proved that Cn is 3-equitable if and only if n 6≡ 3(mod 6) and all caterpillars are 3-equitable. Cahit Index Terms—3-equitable labeling, star, bistar, splitting graph, [1] claimed to prove that W is 3-equitable if and only if shadow graph, square graph. n n 6≡ 3(mod 6) but Youssef [8] proved that Wn is 3-equitable MSC 2010 Codes - 05C78. for all n ≥ 4. The 3-equitable labeling in the context of vertex duplication is discussed by Vaidya et al. [5] while same authors in [6] have investigated 3-equitable labling for I. INTRODUCTION some shell related graphs. Vaidya et al. [7] have discussed 3- N this paper we consider simple, finite, connected and equitablity of graphs in the context of some graph operations and proved that the shadow and middle graph of cycle C , undirected graph G = (V (G),E(G)) with order p and n I P size q. -
On Star and Caterpillar Arboricity
Discrete Mathematics 309 (2009) 3694–3702 www.elsevier.com/locate/disc On star and caterpillar arboricity Daniel Gonc¸alvesa,∗, Pascal Ochemb a LIRMM UMR 5506, CNRS, Universite´ Montpelier 2, 161 rue Ada, 34392 Montpellier Cedex 5, France b LRI UMR 8623, CNRS, Universite´ Paris-Sud, Batˆ 490, 91405 Orsay Cedex, France Received 31 October 2005; accepted 18 January 2008 Available online 10 March 2008 Abstract We give new bounds on the star arboricity and the caterpillar arboricity of planar graphs with given girth. One of them answers an open problem of Gyarf´ as´ and West: there exist planar graphs with track number 4. We also provide new NP-complete problems. c 2008 Elsevier B.V. All rights reserved. Keywords: NP-completeness; Partitioning problems; Edge coloring 1. Introduction Many graph parameters in the literature are defined as the minimum size of a partition of the edges of the graph such that each part induces a graph of a given class C. The most common is the chromatic index χ 0.G/, in this case C is the class of graphs with maximum degree one. Vizing [18] proved that χ 0.G/ either equals ∆.G/ or ∆.G/ C 1, where ∆.G/ denotes the maximum degree of G. Deciding whether χ 0.G/ D 3 is shown to be NP-complete for general graphs in [13]. The arboricity a.G/ is another well studied parameter, for which C is the class of forests. In [15], Nash-Williams proved that: jE.H/j a.G/ D max (1) H⊆G jV .H/j − 1 with the maximum being over all the subgraphs H D .E.H/; V .H// of G. -
Algorithmic Graph Theory Part III Perfect Graphs and Their Subclasses
Algorithmic Graph Theory Part III Perfect Graphs and Their Subclasses Martin Milanicˇ [email protected] University of Primorska, Koper, Slovenia Dipartimento di Informatica Universita` degli Studi di Verona, March 2013 1/55 What we’ll do 1 THE BASICS. 2 PERFECT GRAPHS. 3 COGRAPHS. 4 CHORDAL GRAPHS. 5 SPLIT GRAPHS. 6 THRESHOLD GRAPHS. 7 INTERVAL GRAPHS. 2/55 THE BASICS. 2/55 Induced Subgraphs Recall: Definition Given two graphs G = (V , E) and G′ = (V ′, E ′), we say that G is an induced subgraph of G′ if V ⊆ V ′ and E = {uv ∈ E ′ : u, v ∈ V }. Equivalently: G can be obtained from G′ by deleting vertices. Notation: G < G′ 3/55 Hereditary Graph Properties Hereditary graph property (hereditary graph class) = a class of graphs closed under deletion of vertices = a class of graphs closed under taking induced subgraphs Formally: a set of graphs X such that G ∈ X and H < G ⇒ H ∈ X . 4/55 Hereditary Graph Properties Hereditary graph property (Hereditary graph class) = a class of graphs closed under deletion of vertices = a class of graphs closed under taking induced subgraphs Examples: forests complete graphs line graphs bipartite graphs planar graphs graphs of degree at most ∆ triangle-free graphs perfect graphs 5/55 Hereditary Graph Properties Why hereditary graph classes? Vertex deletions are very useful for developing algorithms for various graph optimization problems. Every hereditary graph property can be described in terms of forbidden induced subgraphs. 6/55 Hereditary Graph Properties H-free graph = a graph that does not contain H as an induced subgraph Free(H) = the class of H-free graphs Free(M) := H∈M Free(H) M-free graphT = a graph in Free(M) Proposition X hereditary ⇐⇒ X = Free(M) for some M M = {all (minimal) graphs not in X} The set M is the set of forbidden induced subgraphs for X. -
A Polynomial Excluded-Minor Approximation of Treedepth
A Polynomial Excluded-Minor Approximation of Treedepth Ken-ichi Kawarabayashi∗ Benjamin Rossmany National Institute of Informatics University of Toronto k [email protected] [email protected] November 1, 2017 Abstract Treedepth is a well-studied graph invariant in the family of \width measures" that includes treewidth and pathwidth. Understanding these invariants in terms of excluded minors has been an active area of research. The recent Grid Minor Theorem of Chekuri and Chuzhoy [12] establishes that treewidth is polynomially approximated by the largest k × k grid minor. In this paper, we give a similar polynomial excluded-minor approximation for treedepth in terms of three basic obstructions: grids, tree, and paths. Specifically, we show that there is a constant c such that every graph of treedepth ≥ kc contains one of the following minors (each of treedepth ≥ k): • the k × k grid, • the complete binary tree of height k, • the path of order 2k. Let us point out that we cannot drop any of the above graphs for our purpose. Moreover, given a graph G we can, in randomized polynomial time, find either an embedding of one of these minors or conclude that treedepth of G is at most kc. This result has potential applications in a variety of settings where bounded treedepth plays a role. In addition to some graph structural applications, we describe a surprising application in circuit complexity and finite model theory from recent work of the second author [28]. 1 Introduction Treedepth is a well-studied graph invariant with several equivalent definitions. It appears in the literature under various names including vertex ranking number [30], ordered chromatic number [17], and minimum elimination tree height [23], before being systematically studied under the name treedepth by Ossona de Mendes and Neˇsetˇril[20].