Some Notes on Cycle Graphs
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Matroid Theory
MATROID THEORY HAYLEY HILLMAN 1 2 HAYLEY HILLMAN Contents 1. Introduction to Matroids 3 1.1. Basic Graph Theory 3 1.2. Basic Linear Algebra 4 2. Bases 5 2.1. An Example in Linear Algebra 6 2.2. An Example in Graph Theory 6 3. Rank Function 8 3.1. The Rank Function in Graph Theory 9 3.2. The Rank Function in Linear Algebra 11 4. Independent Sets 14 4.1. Independent Sets in Graph Theory 14 4.2. Independent Sets in Linear Algebra 17 5. Cycles 21 5.1. Cycles in Graph Theory 22 5.2. Cycles in Linear Algebra 24 6. Vertex-Edge Incidence Matrix 25 References 27 MATROID THEORY 3 1. Introduction to Matroids A matroid is a structure that generalizes the properties of indepen- dence. Relevant applications are found in graph theory and linear algebra. There are several ways to define a matroid, each relate to the concept of independence. This paper will focus on the the definitions of a matroid in terms of bases, the rank function, independent sets and cycles. Throughout this paper, we observe how both graphs and matrices can be viewed as matroids. Then we translate graph theory to linear algebra, and vice versa, using the language of matroids to facilitate our discussion. Many proofs for the properties of each definition of a matroid have been omitted from this paper, but you may find complete proofs in Oxley[2], Whitney[3], and Wilson[4]. The four definitions of a matroid introduced in this paper are equiv- alent to each other. -
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. -
Matroids You Have Known
26 MATHEMATICS MAGAZINE Matroids You Have Known DAVID L. NEEL Seattle University Seattle, Washington 98122 [email protected] NANCY ANN NEUDAUER Pacific University Forest Grove, Oregon 97116 nancy@pacificu.edu Anyone who has worked with matroids has come away with the conviction that matroids are one of the richest and most useful ideas of our day. —Gian Carlo Rota [10] Why matroids? Have you noticed hidden connections between seemingly unrelated mathematical ideas? Strange that finding roots of polynomials can tell us important things about how to solve certain ordinary differential equations, or that computing a determinant would have anything to do with finding solutions to a linear system of equations. But this is one of the charming features of mathematics—that disparate objects share similar traits. Properties like independence appear in many contexts. Do you find independence everywhere you look? In 1933, three Harvard Junior Fellows unified this recurring theme in mathematics by defining a new mathematical object that they dubbed matroid [4]. Matroids are everywhere, if only we knew how to look. What led those junior-fellows to matroids? The same thing that will lead us: Ma- troids arise from shared behaviors of vector spaces and graphs. We explore this natural motivation for the matroid through two examples and consider how properties of in- dependence surface. We first consider the two matroids arising from these examples, and later introduce three more that are probably less familiar. Delving deeper, we can find matroids in arrangements of hyperplanes, configurations of points, and geometric lattices, if your tastes run in that direction. -
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). -
Incremental Dynamic Construction of Layered Polytree Networks )
440 Incremental Dynamic Construction of Layered Polytree Networks Keung-Chi N g Tod S. Levitt lET Inc., lET Inc., 14 Research Way, Suite 3 14 Research Way, Suite 3 E. Setauket, NY 11733 E. Setauket , NY 11733 [email protected] [email protected] Abstract Many exact probabilistic inference algorithms1 have been developed and refined. Among the earlier meth ods, the polytree algorithm (Kim and Pearl 1983, Certain classes of problems, including per Pearl 1986) can efficiently update singly connected ceptual data understanding, robotics, discov belief networks (or polytrees) , however, it does not ery, and learning, can be represented as incre work ( without modification) on multiply connected mental, dynamically constructed belief net networks. In a singly connected belief network, there is works. These automatically constructed net at most one path (in the undirected sense) between any works can be dynamically extended and mod pair of nodes; in a multiply connected belief network, ified as evidence of new individuals becomes on the other hand, there is at least one pair of nodes available. The main result of this paper is the that has more than one path between them. Despite incremental extension of the singly connect the fact that the general updating problem for mul ed polytree network in such a way that the tiply connected networks is NP-hard (Cooper 1990), network retains its singly connected polytree many propagation algorithms have been applied suc structure after the changes. The algorithm cessfully to multiply connected networks, especially on is deterministic and is guaranteed to have networks that are sparsely connected. These methods a complexity of single node addition that is include clustering (also known as node aggregation) at most of order proportional to the number (Chang and Fung 1989, Pearl 1988), node elimination of nodes (or size) of the network. -
A Framework for the Evaluation and Management of Network Centrality ∗
A Framework for the Evaluation and Management of Network Centrality ∗ Vatche Ishakiany D´oraErd}osz Evimaria Terzix Azer Bestavros{ Abstract total number of shortest paths that go through it. Ever Network-analysis literature is rich in node-centrality mea- since, researchers have proposed different measures of sures that quantify the centrality of a node as a function centrality, as well as algorithms for computing them [1, of the (shortest) paths of the network that go through it. 2, 4, 10, 11]. The common characteristic of these Existing work focuses on defining instances of such mea- measures is that they quantify a node's centrality by sures and designing algorithms for the specific combinato- computing the number (or the fraction) of (shortest) rial problems that arise for each instance. In this work, we paths that go through that node. For example, in a propose a unifying definition of centrality that subsumes all network where packets propagate through nodes, a node path-counting based centrality definitions: e.g., stress, be- with high centrality is one that \sees" (and potentially tweenness or paths centrality. We also define a generic algo- controls) most of the traffic. rithm for computing this generalized centrality measure for In many applications, the centrality of a single node every node and every group of nodes in the network. Next, is not as important as the centrality of a group of we define two optimization problems: k-Group Central- nodes. For example, in a network of lobbyists, one ity Maximization and k-Edge Centrality Boosting. might want to measure the combined centrality of a In the former, the task is to identify the subset of k nodes particular group of lobbyists. -
Constructing Arbitrarily Large Graphs with a Specified Number Of
Electronic Journal of Graph Theory and Applications 4 (1) (2019), 1–8 Constructing Arbitrarily Large Graphs with a Specified Number of Hamiltonian Cycles Michael Haythorpea aSchool of Computer Science, Engineering and Mathematics, Flinders University, 1284 South Road, Clovelly Park, SA 5042, Australia michael.haythorpe@flinders.edu.au Abstract A constructive method is provided that outputs a directed graph which is named a broken crown graph, containing 5n − 9 vertices and k Hamiltonian cycles for any choice of integers n ≥ k ≥ 4. The construction is not designed to be minimal in any sense, but rather to ensure that the graphs produced remain non-trivial instances of the Hamiltonian cycle problem even when k is chosen to be much smaller than n. Keywords: Hamiltonian cycles, Graph Construction, Broken Crown Mathematics Subject Classification : 05C45 1. Introduction The Hamiltonian cycle problem (HCP) is a famous NP-complete problem in which one must determine whether a given graph contains a simple cycle traversing all vertices of the graph, or not. Such a simple cycle is called a Hamiltonian cycle (HC), and a graph containing at least one arXiv:1902.10351v1 [math.CO] 27 Feb 2019 Hamiltonian cycle is said to be a Hamiltonian graph. Typically, randomly generated graphs (such as Erdos-R˝ enyi´ graphs), if connected, are Hamil- tonian and contain many Hamiltonian cycles. Although HCP is an NP-complete problem, for these graphs it is often fairly easy for a sophisticated heuristic (e.g. see Concorde [1], Keld Helsgaun’s LKH [4] or Snakes-and-ladders Heuristic [2]) to discover one of the multitude of Hamiltonian cy- cles through a clever search. -
1 Plane and Planar Graphs Definition 1 a Graph G(V,E) Is Called Plane If
1 Plane and Planar Graphs Definition 1 A graph G(V,E) is called plane if • V is a set of points in the plane; • E is a set of curves in the plane such that 1. every curve contains at most two vertices and these vertices are the ends of the curve; 2. the intersection of every two curves is either empty, or one, or two vertices of the graph. Definition 2 A graph is called planar, if it is isomorphic to a plane graph. The plane graph which is isomorphic to a given planar graph G is said to be embedded in the plane. A plane graph isomorphic to G is called its drawing. 1 9 2 4 2 1 9 8 3 3 6 8 7 4 5 6 5 7 G is a planar graph H is a plane graph isomorphic to G 1 The adjacency list of graph F . Is it planar? 1 4 56 8 911 2 9 7 6 103 3 7 11 8 2 4 1 5 9 12 5 1 12 4 6 1 2 8 10 12 7 2 3 9 11 8 1 11 36 10 9 7 4 12 12 10 2 6 8 11 1387 12 9546 What happens if we add edge (1,12)? Or edge (7,4)? 2 Definition 3 A set U in a plane is called open, if for every x ∈ U, all points within some distance r from x belong to U. A region is an open set U which contains polygonal u,v-curve for every two points u,v ∈ U. -
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]. -
On Hamiltonian Line-Graphsq
ON HAMILTONIANLINE-GRAPHSQ BY GARY CHARTRAND Introduction. The line-graph L(G) of a nonempty graph G is the graph whose point set can be put in one-to-one correspondence with the line set of G in such a way that two points of L(G) are adjacent if and only if the corresponding lines of G are adjacent. In this paper graphs whose line-graphs are eulerian or hamiltonian are investigated and characterizations of these graphs are given. Furthermore, neces- sary and sufficient conditions are presented for iterated line-graphs to be eulerian or hamiltonian. It is shown that for any connected graph G which is not a path, there exists an iterated line-graph of G which is hamiltonian. Some elementary results on line-graphs. In the course of the article, it will be necessary to refer to several basic facts concerning line-graphs. In this section these results are presented. All the proofs are straightforward and are therefore omitted. In addition a few definitions are given. If x is a Une of a graph G joining the points u and v, written x=uv, then we define the degree of x by deg zz+deg v—2. We note that if w ' the point of L(G) which corresponds to the line x, then the degree of w in L(G) equals the degree of x in G. A point or line is called odd or even depending on whether it has odd or even degree. If G is a connected graph having at least one line, then L(G) is also a connected graph. -
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.