Constructing Arbitrarily Large Graphs with a Specified Number Of
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Results on Domination Number and Bondage Number for Some Families of Graphs
International Journal of Pure and Applied Mathematics Volume 107 No. 3 2016, 565-577 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu AP doi: 10.12732/ijpam.v107i3.5 ijpam.eu RESULTS ON DOMINATION NUMBER AND BONDAGE NUMBER FOR SOME FAMILIES OF GRAPHS G. Hemalatha1, P. Jeyanthi2 § 1Department of Mathematics Shri Andal Alagar College of Engineering Mamandur, Kancheepuram, Tamil Nadu, INDIA 2Research Centre, Department of Mathematics Govindammal Aditanar College for Women Tiruchendur 628 215, Tamil Nadu, INDIA Abstract: Let G = (V, E) be a simple graph on the vertex set V . In a graph G, A set S ⊆ V is a dominating set of G if every vertex in VS is adjacent to some vertex in S. The domination number of a graph Gγ(G)] is the minimum size of a dominating set of vertices in G. The bondage number of a graph G[Bdγ(G)] is the cardinality of a smallest set of edges whose removal results in a graph with domination number larger than that of G. In this paper we establish domination number and the bondage number for some families of graphs. AMS Subject Classification: 05C69 Key Words: dominating set, bondage number, domination number, cocktail party graph, coxeter graph, crown graph, cubic symmetric graph, doyle graph, folkman graph, levi graph, icosahedral graph 1. Introduction The domination in graphs is one of the major areas in graph theory which attracts many researchers because it has the potential to solve many real life problems involving design and analysis of communication network, social net- Received: October 17, 2015 c 2016 Academic Publications, Ltd. -
Blast Domination for Mycielski's Graph of Graphs
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-6S3, September 2019 Blast Domination for Mycielski’s Graph of Graphs K. Ameenal Bibi, P.Rajakumari AbstractThe hub of this article is a search on the behavior of is the minimum cardinality of a distance-2 dominating set in the Blast domination and Blast distance-2 domination for 퐺. Mycielski’s graph of some particular graphs and zero divisor graphs. Definition 2.3[7] A non-empty subset 퐷 of 푉 of a connected graph 퐺 is Key Words:Blast domination number, Blast distance-2 called a Blast dominating set, if 퐷 is aconnected dominating domination number, Mycielski’sgraph. set and the induced sub graph < 푉 − 퐷 >is triple connected. The minimum cardinality taken over all such Blast I. INTRODUCTION dominating sets is called the Blast domination number of The concept of triple connected graphs was introduced by 퐺and is denoted by tc . Paulraj Joseph et.al [9]. A graph is said to be triple c (G) connected if any three vertices lie on a path in G. In [6] the Definition2.4 authors introduced triple connected domination number of a graph. A subset D of V of a nontrivial graph G is said to A non-empty subset 퐷 of vertices in a graph 퐺 is a blast betriple connected dominating set, if D is a dominating set distance-2 dominating set if every vertex in 푉 − 퐷 is within and <D> is triple connected. The minimum cardinality taken distance-2 of atleast one vertex in 퐷. -
Determination and Testing the Domination Numbers of Tadpole Graph, Book Graph and Stacked Book Graph Using MATLAB Ayhan A
College of Basic Education Researchers Journal Vol. 10, No. 1 Determination and Testing the Domination Numbers of Tadpole Graph, Book Graph and Stacked Book Graph Using MATLAB Ayhan A. khalil Omar A.Khalil Technical College of Mosul -Foundation of Technical Education Received: 11/4/2010 ; Accepted: 24/6/2010 Abstract: A set is said to be dominating set of G if for every there exists a vertex such that . The minimum cardinality of vertices among dominating set of G is called the domination number of G denoted by . We investigate the domination number of Tadpole graph, Book graph and Stacked Book graph. Also we test our theoretical results in computer by introducing a matlab procedure to find the domination number , dominating set S and draw this graph that illustrates the vertices of domination this graphs. It is proved that: . Keywords: Dominating set, Domination number, Tadpole graph, Book graph, stacked graph. إﯾﺟﺎد واﺧﺗﺑﺎر اﻟﻌدد اﻟﻣﮭﯾﻣن(اﻟﻣﺳﯾطر)Domination number ﻟﻠﺑﯾﺎﻧﺎت ﺗﺎدﺑول (Tadpole graph)، ﺑﯾﺎن ﺑوك (Book graph) وﺑﯾﺎن ﺳﺗﺎﻛﯾت ﺑوك (Stacked Book graph) ﺑﺎﺳﺗﻌﻣﺎل اﻟﻣﺎﺗﻼب أﯾﮭﺎن اﺣﻣد ﺧﻠﯾل ﻋﻣر اﺣﻣد ﺧﻠﯾل اﻟﻛﻠﯾﺔ اﻟﺗﻘﻧﯾﺔ-ﻣوﺻل- ھﯾﺋﺔ اﻟﺗﻌﻠﯾم اﻟﺗﻘﻧﻲ ﻣﻠﺧص اﻟﺑﺣث : ﯾﻘﺎل ﻷﯾﺔ ﻣﺟﻣوﻋﺔ ﺟزﺋﯾﺔ S ﻣن ﻣﺟﻣوﻋﺔ اﻟرؤوس V ﻓﻲ ﺑﯾﺎن G ﺑﺄﻧﻬﺎ ﻣﺟﻣوﻋﺔ ﻣﻬﯾﻣﻧﺔ Dominating set إذا ﻛﺎن ﻟﻛل أرس v ﻓﻲ اﻟﻣﺟﻣوﻋﺔ V-S ﯾوﺟد أرس u ﻓﻲS ﺑﺣﯾث uv ﺿﻣن 491 Ayhan A. & Omar A. ﺣﺎﻓﺎت اﻟﺑﯾﺎن،. وﯾﻌرف اﻟﻌدد اﻟﻣﻬﯾﻣن Domination number ﺑﺄﻧﻪ أﺻﻐر ﻣﺟﻣوﻋﺔ أﺳﺎﺳﯾﺔ ﻣﻬﯾﻣﻧﺔ Domination. ﻓﻲ ﻫذا اﻟﺑﺣث ﺳوف ﻧدرس اﻟﻌدد اﻟﻣﻬﯾﻣن Domination number ﻟﺑﯾﺎن ﺗﺎدﺑول (Tadpole graph) ، ﺑﯾﺎن ﺑوك (Book graph) وﺑﯾﺎن ﺳﺗﺎﻛﯾت ﺑوك ( Stacked Book graph). -
Prime Labeling of Union Graphs
International Journal of Scientific Research in _____________________________ Research Paper . Mathematical and Statistical Sciences Vol.6, Issue.1, pp.86-93, February (2019) E-ISSN: 2348-4519 DOI: https://doi.org/10.26438/ijsrmss/v6i1.8693 Prime labeling of Union Graphs S K Patel1, A N Kansagara2* 1 Department of Mathematics, Government Engineering College, Bhuj-370 001. India. 2 Department of Mathematics, Shree D K V Arts and Science College, Jamnagar-361 008. India. *Corresponding author: [email protected] Tel: +91 94267 57504 Available online at: www.isroset.org Received: 01/Feb/2019, Accepted: 11/Feb/2019, Online: 28/Feb/2019 Abstract- A graph with vertices is called prime graph if its vertices can be labeled with first positive integers such that each pair of adjacent vertices have relatively prime labels. Such a labeling is called prime labeling. It is known that graphs like gear graphs, crown graphs, helm graphs, book graphs and are prime. In this paper, we study the prime labeling of union of these graphs. Keyword: Prime labeling, union of graphs, Corona product, Cartesian Product. AMS Subject Classification(2010): 05C7 I. INTRODUCTION (iii) whereas and are odd integers (iv) , where is any integer. All graphs considered in this paper are simple, finite, and 2. undirected. For a graph , and denotes the 3. , where is an odd integer. vertex set and edge set of respectively whereas 4. For arbitrary integers if and denotes the cardinality of the respective sets. For , then . terms not defined here, we refer the reader to [6]. Paths and cycles are the immediate examples of Now we discuss some basic definions which will be used in prime graphs but on the other hand the conjecture that trees main results. -
Smith Forms for Adjacency Matrices of Circulant Graphs
Smith forms for adjacency matrices of circulant graphs Gerald Williamsa aDepartment of Mathematical Sciences, University of Essex, Colchester, Essex CO4 3SQ, U.K. Abstract We calculate the Smith normal form of the adjacency matrix of each of the following graphs or their complements (or both): complete graph, cycle graph, square of the cycle, power graph of the cycle, distance matrix graph of cycle, Andr´asfaigraph, Doob graph, cocktail party graph, crown graph, prism graph, M¨obiusladder. The proofs operate by finding the abelianisation of a cyclically presented group whose relation matrix is column equivalent to the required adjacency matrix. Keywords: Smith normal form, circulant graph, adjacency matrix. 2000 MSC: 05C50, 15A21, 20F05. 1. Introduction The circulant matrix circn(a0; : : : ; an−1) is the n × n matrix whose first row is (a0; : : : ; an−1) and where row (i+1) (0 ≤ i ≤ n−2) is a cyclic shift of row i by one column. A circulant graph is a graph that is isomorphic to a graph whose adjacency matrix is circulant. We shall write A(Γ) for the adjacency matrix of a graph Γ. Given graphs Γ; Γ0 if det(A(Γ)) =6 det(A(Γ0)) (in particular if precisely one of A(Γ), A(Γ0) is singular) then Γ; Γ0 are non-isomorphic. Similarly, if rank(A(Γ)) =6 rank(A(Γ0)) then Γ; Γ0 are non-isomorphic. Singularity, rank, and determinants of various families of circulant graphs are considered (for example) in [3],[7],[16],[23]. For an n × n integer matrix M, the Smith normal form of M, written SNF(M), is the n × n diagonal integer matrix S = diagn(d0; : : : ; dn−1) where d0; : : : ; dn−1 2 N [ f0g and dijdi+1 (0 ≤ i ≤ n − 2) is such that there exist invertible integer matrices P; Q such that PMQ = S. -
Dominating Cycles in Halin Graphs*
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 86 (1990) 215-224 215 North-Holland DOMINATING CYCLES IN HALIN GRAPHS* Mirosiawa SKOWRONSKA Institute of Mathematics, Copernicus University, Chopina 12/18, 87-100 Torun’, Poland Maciej M. SYStO Institute of Computer Science, University of Wroclaw, Przesmyckiego 20, 51-151 Wroclaw, Poland Received 2 December 1988 A cycle in a graph is dominating if every vertex lies at distance at most one from the cycle and a cycle is D-cycle if every edge is incident with a vertex of the cycle. In this paper, first we provide recursive formulae for finding a shortest dominating cycle in a Hahn graph; minor modifications can give formulae for finding a shortest D-cycle. Then, dominating cycles and D-cycles in a Halin graph H are characterized in terms of the cycle graph, the intersection graph of the faces of H. 1. Preliminaries The various domination problems have been extensively studied. Among them is the problem whether a graph has a dominating cycle. All graphs in this paper have no loops and multiple edges. A dominating cycle in a graph G = (V(G), E(G)) is a subgraph C of G which is a cycle and every vertex of V(G) \ V(C) is adjacent to a vertex of C. There are graphs which have no dominating cycles, and moreover, determining whether a graph has a dominating cycle on at most 1 vertices is NP-complete even in the class of planar graphs [7], chordal, bipartite and split graphs [3]. -
Pattern Avoidance and Fiber Bundle Structures on Schubert Varieties
Thursday 2.10 Auditorium B Pattern Avoidance and Fiber Bundle Structures on Schubert Varieties Timothy Alland [email protected] SUNY Stony Brook (This talk is based on joint work with Edward Richmond.) MSC2000: 05E15, 14M15 Permutations are known to index type A Schubert varieties. A question one can ask regarding a specific Schubert variety is whether it is an iterated fiber bundle of Grass- mannian Schubert varieties, that is, if it has a complete parabolic bundle structure. We have found that a Schubert variety has a complete parabolic bundle structure if and only if its associated permutation avoids the patterns 3412, 52341, and 635241. We find this by first identifying when the standard projection from the Schubert variety in the complete flag variety to the Schubert variety in the Grassmannian is a fiber bundle using what we have called \split pattern avoidance". In this talk, I will demonstrate how we were able to move from a characterization of this projection in terms of the support and left descents of the permutation's parabolic decomposition to one that applies split pattern avoidance. I will also give a flavor of the proof of how the three patterns mentioned above determine whether a Schubert variety has a complete parabolic bundle structure. Monday 3.55 Auditorium B A simple proof of Shamir's conjecture Peter Allen [email protected] LSE (This talk is based on joint work with Julia B¨ottcher, Ewan Davies, Matthew Jenssen, Yoshiharu Kohayakawa, Barnaby Roberts.) MSC2000: 05C80 It is well known (and easy to show) that the threshold for a perfect matching in the bino- log n mial random graph G(n; p) is p = Θ n , coinciding with the threshold for every vertex to be in an edge (and much more is known). -
Arxiv:2108.05223V2 [Math.CO] 12 Aug 2021 the Line Graph of the Crown
The line graph of the crown graph is distance integral S. Morteza Mirafzal Department of Mathematics Lorestan University, Khorramabad, Iran E-mail: [email protected] E-mail: [email protected] Abstract The distance eigenvalues of a connected graph G are the eigenvalues of its distance matrix D(G). A graph is called distance integral if all of its distance eigenvalues are integers. Let n ≥ 3 be an integer. A crown graph Cr(n) is a graph obtained from the complete bipartite graph Kn,n by removing a perfect matching. Let L(Cr(n)) denote the line graph of the crown graph Cr(n). In this paper, by using the orbit partition method in algebraic graph theory, we determine the set of all distance eigenvalues of L(Cr(n)) and show that this graph is distance integral. 1 Introduction and Preliminaries arXiv:2108.05223v4 [math.CO] 8 Sep 2021 In this paper, a graph G = (V, E) is considered as an undirected simple graph where V = V (G) is the vertex-set and E = E(G) is the edge-set. For all the terminology and notation not defined here, we follow [3,4,5,6,7]. Let G = (V, E) be a graph and A = A(G) be an adjacency matrix of G. The characteristic polynomial of G is defined as P (G; x)= P (x)= |xI − A|. A zero of p(x) is called an eigenvalue of the graph G. A graph is called integral, if all the eigenvalues are integers. The study of integral graphs was initiated by 2010 Mathematics Subject Classification:05C50 Keywords: crown graph, distance integral, vertex-transitive, orbit partition Date: 1 2 S. -
On the Number of Cycles in a Graph with Restricted Cycle Lengths
On the number of cycles in a graph with restricted cycle lengths D´anielGerbner,∗ Bal´azsKeszegh,y Cory Palmer,z Bal´azsPatk´osx October 12, 2016 Abstract Let L be a set of positive integers. We call a (directed) graph G an L-cycle graph if all cycle lengths in G belong to L. Let c(L; n) be the maximum number of cycles possible in an n-vertex L-cycle graph (we use ~c(L; n) for the number of cycles in directed graphs). In the undirected case we show that for any fixed set L, we have k=` c(L; n) = ΘL(nb c) where k is the largest element of L and 2` is the smallest even element of L (if L contains only odd elements, then c(L; n) = ΘL(n) holds.) We also give a characterization of L-cycle graphs when L is a single element. In the directed case we prove that for any fixed set L we have ~c(L; n) = (1 + n 1 k 1 o(1))( k−1 ) − , where k is the largest element of L. We determine the exact value of ~c(fkg; n−) for every k and characterize all graphs attaining this maximum. 1 Introduction In this paper we examine graphs that contain only cycles of some prescribed lengths (where the length of a cycle or a path is the number of its edges). Let L be a set of positive integers. We call a graph G an L-cycle graph if all cycle lengths in G belong to L. -
Convex Polytopes and Tilings with Few Flag Orbits
Convex Polytopes and Tilings with Few Flag Orbits by Nicholas Matteo B.A. in Mathematics, Miami University M.A. in Mathematics, Miami University A dissertation submitted to The Faculty of the College of Science of Northeastern University in partial fulfillment of the requirements for the degree of Doctor of Philosophy April 14, 2015 Dissertation directed by Egon Schulte Professor of Mathematics Abstract of Dissertation The amount of symmetry possessed by a convex polytope, or a tiling by convex polytopes, is reflected by the number of orbits of its flags under the action of the Euclidean isometries preserving the polytope. The convex polytopes with only one flag orbit have been classified since the work of Schläfli in the 19th century. In this dissertation, convex polytopes with up to three flag orbits are classified. Two-orbit convex polytopes exist only in two or three dimensions, and the only ones whose combinatorial automorphism group is also two-orbit are the cuboctahedron, the icosidodecahedron, the rhombic dodecahedron, and the rhombic triacontahedron. Two-orbit face-to-face tilings by convex polytopes exist on E1, E2, and E3; the only ones which are also combinatorially two-orbit are the trihexagonal plane tiling, the rhombille plane tiling, the tetrahedral-octahedral honeycomb, and the rhombic dodecahedral honeycomb. Moreover, any combinatorially two-orbit convex polytope or tiling is isomorphic to one on the above list. Three-orbit convex polytopes exist in two through eight dimensions. There are infinitely many in three dimensions, including prisms over regular polygons, truncated Platonic solids, and their dual bipyramids and Kleetopes. There are infinitely many in four dimensions, comprising the rectified regular 4-polytopes, the p; p-duoprisms, the bitruncated 4-simplex, the bitruncated 24-cell, and their duals. -
THE CHROMATIC POLYNOMIAL 1. Introduction a Common Problem in the Study of Graph Theory Is Coloring the Vertices of a Graph So Th
THE CHROMATIC POLYNOMIAL CODY FOUTS Abstract. It is shown how to compute the Chromatic Polynomial of a sim- ple graph utilizing bond lattices and the M¨obiusInversion Theorem, which requires the establishment of a refinement ordering on the bond lattice and an exploration of the Incidence Algebra on a partially ordered set. 1. Introduction A common problem in the study of Graph Theory is coloring the vertices of a graph so that any two connected by a common edge are different colors. The vertices of the graph in Figure 1 have been colored in the desired manner. This is called a Proper Coloring of the graph. Frequently, we are concerned with determining the least number of colors with which we can achieve a proper coloring on a graph. Furthermore, we want to count the possible number of different proper colorings on a graph with a given number of colors. We can calculate each of these values by using a special function that is associated with each graph, called the Chromatic Polynomial. For simple graphs, such as the one in Figure 1, the Chromatic Polynomial can be determined by examining the structure of the graph. For other graphs, it is very difficult to compute the function in this manner. However, there is a connection between partially ordered sets and graph theory that helps to simplify the process. Utilizing subgraphs, lattices, and a special theorem called the M¨obiusInversion Theorem, we determine an algorithm for calculating the Chromatic Polynomial for any graph we choose. Figure 1. A simple graph colored so that no two vertices con- nected by an edge are the same color. -
An Introduction to Algebraic Graph Theory
An Introduction to Algebraic Graph Theory Cesar O. Aguilar Department of Mathematics State University of New York at Geneseo Last Update: March 25, 2021 Contents 1 Graphs 1 1.1 What is a graph? ......................... 1 1.1.1 Exercises .......................... 3 1.2 The rudiments of graph theory .................. 4 1.2.1 Exercises .......................... 10 1.3 Permutations ........................... 13 1.3.1 Exercises .......................... 19 1.4 Graph isomorphisms ....................... 21 1.4.1 Exercises .......................... 30 1.5 Special graphs and graph operations .............. 32 1.5.1 Exercises .......................... 37 1.6 Trees ................................ 41 1.6.1 Exercises .......................... 45 2 The Adjacency Matrix 47 2.1 The Adjacency Matrix ...................... 48 2.1.1 Exercises .......................... 53 2.2 The coefficients and roots of a polynomial ........... 55 2.2.1 Exercises .......................... 62 2.3 The characteristic polynomial and spectrum of a graph .... 63 2.3.1 Exercises .......................... 70 2.4 Cospectral graphs ......................... 73 2.4.1 Exercises .......................... 84 3 2.5 Bipartite Graphs ......................... 84 3 Graph Colorings 89 3.1 The basics ............................. 89 3.2 Bounds on the chromatic number ................ 91 3.3 The Chromatic Polynomial .................... 98 3.3.1 Exercises ..........................108 4 Laplacian Matrices 111 4.1 The Laplacian and Signless Laplacian Matrices .........111 4.1.1