Dominating Sets in Graphs with No Long Induced Paths
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Forbidden Subgraph Characterization of Quasi-Line Graphs Medha Dhurandhar [email protected]
Forbidden Subgraph Characterization of Quasi-line Graphs Medha Dhurandhar [email protected] Abstract: Here in particular, we give a characterization of Quasi-line Graphs in terms of forbidden induced subgraphs. In general, we prove a necessary and sufficient condition for a graph to be a union of two cliques. 1. Introduction: A graph is a quasi-line graph if for every vertex v, the set of neighbours of v is expressible as the union of two cliques. Such graphs are more general than line graphs, but less general than claw-free graphs. In [2] Chudnovsky and Seymour gave a constructive characterization of quasi-line graphs. An alternative characterization of quasi-line graphs is given in [3] stating that a graph has a fuzzy reconstruction iff it is a quasi-line graph and also in [4] using the concept of sums of Hoffman graphs. Here we characterize quasi-line graphs in terms of the forbidden induced subgraphs like line graphs. We consider in this paper only finite, simple, connected, undirected graphs. The vertex set of G is denoted by V(G), the edge set by E(G), the maximum degree of vertices in G by Δ(G), the maximum clique size by (G) and the chromatic number by G). N(u) denotes the neighbourhood of u and N(u) = N(u) + u. For further notation please refer to Harary [3]. 2. Main Result: Before proving the main result we prove some lemmas, which will be used later. Lemma 1: If G is {3K1, C5}-free, then either 1) G ~ K|V(G)| or 2) If v, w V(G) are s.t. -
Investigations on Unit Distance Property of Clebsch Graph and Its Complement
Proceedings of the World Congress on Engineering 2012 Vol I WCE 2012, July 4 - 6, 2012, London, U.K. Investigations on Unit Distance Property of Clebsch Graph and Its Complement Pratima Panigrahi and Uma kant Sahoo ∗yz Abstract|An n-dimensional unit distance graph is on parameters (16,5,0,2) and (16,10,6,6) respectively. a simple graph which can be drawn on n-dimensional These graphs are known to be unique in the respective n Euclidean space R so that its vertices are represented parameters [2]. In this paper we give unit distance n by distinct points in R and edges are represented by representation of Clebsch graph in the 3-dimensional Eu- closed line segments of unit length. In this paper we clidean space R3. Also we show that the complement of show that the Clebsch graph is 3-dimensional unit Clebsch graph is not a 3-dimensional unit distance graph. distance graph, but its complement is not. Keywords: unit distance graph, strongly regular The Petersen graph is the strongly regular graph on graphs, Clebsch graph, Petersen graph. parameters (10,3,0,1). This graph is also unique in its parameter set. It is known that Petersen graph is 2-dimensional unit distance graph (see [1],[3],[10]). It is In this article we consider only simple graphs, i.e. also known that Petersen graph is a subgraph of Clebsch undirected, loop free and with no multiple edges. The graph, see [[5], section 10.6]. study of dimension of graphs was initiated by Erdos et.al [3]. -
Maximizing the Order of a Regular Graph of Given Valency and Second Eigenvalue∗
SIAM J. DISCRETE MATH. c 2016 Society for Industrial and Applied Mathematics Vol. 30, No. 3, pp. 1509–1525 MAXIMIZING THE ORDER OF A REGULAR GRAPH OF GIVEN VALENCY AND SECOND EIGENVALUE∗ SEBASTIAN M. CIOABA˘ †,JACKH.KOOLEN‡, HIROSHI NOZAKI§, AND JASON R. VERMETTE¶ Abstract. From Alon√ and Boppana, and Serre, we know that for any given integer k ≥ 3 and real number λ<2 k − 1, there are only finitely many k-regular graphs whose second largest eigenvalue is at most λ. In this paper, we investigate the largest number of vertices of such graphs. Key words. second eigenvalue, regular graph, expander AMS subject classifications. 05C50, 05E99, 68R10, 90C05, 90C35 DOI. 10.1137/15M1030935 1. Introduction. For a k-regular graph G on n vertices, we denote by λ1(G)= k>λ2(G) ≥ ··· ≥ λn(G)=λmin(G) the eigenvalues of the adjacency matrix of G. For a general reference on the eigenvalues of graphs, see [8, 17]. The second eigenvalue of a regular graph is a parameter of interest in the study of graph connectivity and expanders (see [1, 8, 23], for example). In this paper, we investigate the maximum order v(k, λ) of a connected k-regular graph whose second largest eigenvalue is at most some given parameter λ. As a consequence of work of Alon and Boppana and of Serre√ [1, 11, 15, 23, 24, 27, 30, 34, 35, 40], we know that v(k, λ) is finite for λ<2 k − 1. The recent result of Marcus, Spielman, and Srivastava [28] showing the existence of infinite families of√ Ramanujan graphs of any degree at least 3 implies that v(k, λ) is infinite for λ ≥ 2 k − 1. -
Clay Mathematics Institute 2005 James A
Contents Clay Mathematics Institute 2005 James A. Carlson Letter from the President 2 The Prize Problems The Millennium Prize Problems 3 Recognizing Achievement 2005 Clay Research Awards 4 CMI Researchers Summary of 2005 6 Workshops & Conferences CMI Programs & Research Activities Student Programs Collected Works James Arthur Archive 9 Raoul Bott Library CMI Profile Interview with Research Fellow 10 Maria Chudnovsky Feature Article Can Biology Lead to New Theorems? 13 by Bernd Sturmfels CMI Summer Schools Summary 14 Ricci Flow, 3–Manifolds, and Geometry 15 at MSRI Program Overview CMI Senior Scholars Program 17 Institute News Euclid and His Heritage Meeting 18 Appointments & Honors 20 CMI Publications Selected Articles by Research Fellows 27 Books & Videos 28 About CMI Profile of Bow Street Staff 30 CMI Activities 2006 Institute Calendar 32 2005 Euclid: www.claymath.org/euclid James Arthur Collected Works: www.claymath.org/cw/arthur Hanoi Institute of Mathematics: www.math.ac.vn Ramanujan Society: www.ramanujanmathsociety.org $.* $MBZ.BUIFNBUJDT*OTUJUVUF ".4 "NFSJDBO.BUIFNBUJDBM4PDJFUZ In addition to major,0O"VHVTU BUUIFTFDPOE*OUFSOBUJPOBM$POHSFTTPG.BUIFNBUJDJBOT ongoing activities such as JO1BSJT %BWJE)JMCFSUEFMJWFSFEIJTGBNPVTMFDUVSFJOXIJDIIFEFTDSJCFE the summer schools,UXFOUZUISFFQSPCMFNTUIBUXFSFUPQMBZBOJOnVFOUJBMSPMFJONBUIFNBUJDBM the Institute undertakes a 5IF.JMMFOOJVN1SJ[F1SPCMFNT SFTFBSDI"DFOUVSZMBUFS PO.BZ BUBNFFUJOHBUUIF$PMMÒHFEF number of smaller'SBODF UIF$MBZ.BUIFNBUJDT*OTUJUVUF $.* BOOPVODFEUIFDSFBUJPOPGB special projects -
Some Remarks on Even-Hole-Free Graphs
Some remarks on even-hole-free graphs Zi-Xia Song∗ Department of Mathematics, University of Central Florida, Orlando, FL 32816, USA Abstract A vertex of a graph is bisimplicial if the set of its neighbors is the union of two cliques; a graph is quasi-line if every vertex is bisimplicial. A recent result of Chudnovsky and Seymour asserts that every non-empty even-hole-free graph has a bisimplicial vertex. Both Hadwiger’s conjecture and the Erd˝os-Lov´asz Tihany conjecture have been shown to be true for quasi-line graphs, but are open for even-hole-free graphs. In this note, we prove that for all k ≥ 7, every even-hole-free graph with no Kk minor is (2k − 5)-colorable; every even-hole-free graph G with ω(G) < χ(G) = s + t − 1 satisfies the Erd˝os-Lov´asz Tihany conjecture provided that t ≥ s>χ(G)/3. Furthermore, we prove that every 9-chromatic graph G with ω(G) ≤ 8 has a K4 ∪ K6 minor. Our proofs rely heavily on the structural result of Chudnovsky and Seymour on even-hole-free graphs. 1 Introduction All graphs in this paper are finite and simple. For a graph G, we use V (G) to denote the vertex set, E(G) the edge set, |G| the number of vertices, e(G) the number of edges, δ(G) the minimum degree, ∆(G) the maximum degree, α(G) the independence number, ω(G) the clique number and χ(G) the chromatic number. A graph H is a minor of a graph G if H can be obtained from a subgraph of G by contracting edges. -
The Structure of Claw-Free Graphs
The structure of claw-free graphs Maria Chudnovsky and Paul Seymour Abstract A graph is claw-free if no vertex has three pairwise nonadjacent neighbours. At first sight, there seem to be a great variety of types of claw-free graphs. For instance, there are line graphs, the graph of the icosahedron, complements of triangle-free graphs, and the Schl¨afli graph (an amazingly highly-symmetric graph with 27 vertices), and more; for instance, if we arrange vertices in a circle, choose some intervals from the circle, and make the vertices in each interval adjacent to each other, the graph we produce is claw-free. There are several other such examples, which we regard as \basic" claw-free graphs. Nevertheless, it is possible to prove a complete structure theorem for claw- free graphs. We have shown that every connected claw-free graph can be ob- tained from one of the basic claw-free graphs by simple expansion operations. In this paper we explain the precise statement of the theorem, sketch the proof, and give a few applications. 1 Introduction A graph is claw-free if no vertex has three pairwise nonadjacent neighbours. (Graphs in this paper are finite and simple.) Line graphs are claw-free, and it has long been recognized that claw-free graphs are an interesting generalization of line graphs, sharing some of the same properties. For instance, Minty [16] showed in 1980 that there is a polynomial-time algorithm to find a stable set of maximum weight in a claw-free graph, generalizing the algorithm of Edmonds [9, 10] to find a maximum weight matching in a graph. -
High Girth Cubic Graphs Map to the Clebsch Graph
High Girth Cubic Graphs Map to the Clebsch Graph Matt DeVos ∗ Robert S´amalˇ †‡ Keywords: max-cut, cut-continuous mappings, circular chromatic number MSC: 05C15 Abstract We give a (computer assisted) proof that the edges of every graph with maximum degree 3 and girth at least 17 may be 5-colored (possibly improp- erly) so that the complement of each color class is bipartite. Equivalently, every such graph admits a homomorphism to the Clebsch graph (Fig. 1). Hopkins and Staton [8] and Bondy and Locke [2] proved that every (sub)cu- 4 bic graph of girth at least 4 has an edge-cut containing at least 5 of the edges. The existence of such an edge-cut follows immediately from the existence of a 5-edge-coloring as described above, so our theorem may be viewed as a kind of coloring extension of their result (under a stronger girth assumption). Every graph which has a homomorphism to a cycle of length five has an above-described 5-edge-coloring; hence our theorem may also be viewed as a weak version of Neˇsetˇril’s Pentagon Problem: Every cubic graph of sufficiently high girth maps to C5. 1 Introduction Throughout the paper all graphs are assumed to be finite, undirected and simple. For any positive integer n, we let Cn denote the cycle of length n, and Kn denote the complete graph on n vertices. If G is a graph and U ⊆ V (G), we put δ(U) = {uv ∈ E(G) : u ∈ U and v 6∈ U}, and we call any subset of edges of this form a cut. -
High-Girth Cubic Graphs Are Homomorphic to the Clebsch
High-girth cubic graphs are homomorphic to the Clebsch graph Matt DeVos ∗ Robert S´amalˇ †‡ Keywords: max-cut, cut-continuous mappings, circular chromatic number MSC: 05C15 Abstract We give a (computer assisted) proof that the edges of every graph with maximum degree 3 and girth at least 17 may be 5-colored (possibly improp- erly) so that the complement of each color class is bipartite. Equivalently, every such graph admits a homomorphism to the Clebsch graph (Fig. 1). Hopkins and Staton [11] and Bondy and Locke [2] proved that every 4 (sub)cubic graph of girth at least 4 has an edge-cut containing at least 5 of the edges. The existence of such an edge-cut follows immediately from the ex- istence of a 5-edge-coloring as described above, so our theorem may be viewed as a coloring extension of their result (under a stronger girth assumption). Every graph which has a homomorphism to a cycle of length five has an above-described 5-edge-coloring; hence our theorem may also be viewed as a weak version of Neˇsetˇril’s Pentagon Problem (which asks whether every cubic graph of sufficiently high girth is homomorphic to C5). 1 Introduction Throughout the paper all graphs are assumed to be finite, undirected and simple. For any positive integer n, we let Cn denote the cycle of length n, and Kn denote the complete graph on n vertices. If G is a graph and U ⊆ V (G), we put δ(U) = {uv ∈ E(G): u ∈ U and v 6∈ U}, and we call any subset of edges of this form a cut. -
Strong Perfect Graph Theorem a Graph G Is Perfect If and Only If Neither G Nor Its Complement G¯ Contains an Induced Odd Circuit of Length ≥ 5
THEOREM OF THE DAY The Strong Perfect Graph Theorem A graph G is perfect if and only if neither G nor its complement G¯ contains an induced odd circuit of length ≥ 5. An induced odd circuit is an odd-length, circular sequence of edges having no ‘short-circuit’ edges across it, while G¯ is the graph obtained by replacing edges in G by non-edges and vice-versa. A perfect graph G is one in which, for every induced subgraph H, the size of a largest clique (that is, maximal complete subgraph) is equal to the chromatic number of H (the least number of vertex colours guaranteeing no identically coloured adjacent vertices). This deep and subtle property is confirmed by today’s theorem to have a surprisingly simple characterisation, whereby the railway above is clearly perfect. The railway scenario illustrates just one way in which perfect graphs are important. We wish to dispatch goods every day from depots v1, v2,..., choosing the best-stocked depots but subject to the constraint that we nominate at most one depot per network clique, so as to avoid head-on collisions. The depot-clique incidence relationship is modelled as a 0-1 matrix and we attempt to replicate our constraint numerically from this as a set of inequalities (far right, bottom). Now we may optimise dispatch as a standard linear programming problem unless... the optimum allocates a fractional amount to each depot, failing to respect the one-depot-per-clique constraint. A 1975 theorem of V. Chv´atal asserts: if a clique incidence matrix is the constraint matrix for a linear programme then an integer optimal solution is guaranteed if and only if the underlying network is a perfect graph. -
Mathematics People
Mathematics People information, sometimes even one incorrect bit can de- Chudnovsky and Spielman stroy the integrity of the data stream; adding verification Selected as MacArthur Fellows ‘codes’ to the data helps to test its accuracy. Spielman and collaborators developed several families of codes Maria Chudnovsky of Columbia University and Dan- that optimize speed and reliability, some approaching the iel Spielman of Yale University have been named Mac- theoretical limit of performance. One, an enhanced version Arthur Fellows for 2012. Each Fellow receives a grant of of low-density parity checking, is now used to broadcast US$500,000 in support, with no strings attached, over the and decode high-definition television transmissions. In a next five years. separate line of research, Spielman resolved an enduring Chudnovsky was honored for her work on the classifica- mystery of computer science: why a venerable algorithm tions and properties of graphs. The prize citation reads, for optimization (e.g., to compute the fastest route to the “Maria Chudnovsky is a mathematician who investigates airport, picking up three friends along the way) usually the fundamental principles of graph theory. In mathemat- works better in practice than theory would predict. He and ics, a graph is an abstraction that represents a set of similar a collaborator proved that small amounts of randomness things and the connections between them—e.g., cities and convert worst-case conditions into problems that can be the roads connecting them, networks of friendship among solved much faster. This finding holds enormous practi- people, websites and their links to other sites. When used cal implications for a myriad of calculations in science, to solve real-world problems, like efficient scheduling for engineering, social science, business, and statistics that an airline or package delivery service, graphs are usually depend on the simplex algorithm or its derivatives. -
On Characterizing Game-Perfect Graphs by Forbidden Induced Subgraphs
Volume 7, Number 1, Pages 21{34 ISSN 1715-0868 ON CHARACTERIZING GAME-PERFECT GRAPHS BY FORBIDDEN INDUCED SUBGRAPHS STEPHAN DOMINIQUE ANDRES Abstract. A graph G is called g-perfect if, for any induced subgraph H of G, the game chromatic number of H equals the clique number of H. A graph G is called g-col-perfect if, for any induced subgraph H of G, the game coloring number of H equals the clique number of H. In this paper we characterize the classes of g-perfect resp. g-col-perfect graphs by a set of forbidden induced subgraphs. Moreover, we study similar notions for variants of the game chromatic number, namely B-perfect and [A; B]-perfect graphs, and for several variants of the game coloring number, and characterize the classes of these graphs. 1. Introduction A well-known maker-breaker game is one of Bodlaender's graph coloring games [9]. We are given an initially uncolored graph G and a color set C. Two players, Alice and Bob, move alternately with Alice beginning. A move consists in coloring an uncolored vertex with a color from C in such a way that adjacent vertices receive distinct colors. The game ends if no move is possible any more. The maker Alice wins if the vertices of the graph are completely colored, otherwise, i.e. if there is an uncolored vertex surrounded by colored vertices of each color, the breaker Bob wins. For a graph G, the game chromatic number χg(G) of G is the smallest cardinality of a color set C such that Alice has a winning strategy in the game described above. -
The Connectivity of Strongly Regular Graphs
Burop. J. Combinatorics (1985) 6, 215-216 The Connectivity of Strongly Regular Graphs A. E. BROUWER AND D. M. MESNER We prove that the connectivity of a connected strongly regular graph equals its valency. A strongly regular graph (with parameters v, k, A, JL) is a finite undirected graph without loops or multiple edges such that (i) has v vertices, (ii) it is regular of degree k, (iii) each edge is in A triangles, (iv) any two.nonadjacent points are joined by JL paths of length 2. For basic properties see Cameron [1] or Seidel [3]. The connectivity of a graph is the minimum number of vertices one has to remove in oroer to make it disconnected (or empty). Our aim is to prove the following proposition. PROPOSITION. Let T be a connected strongly regular graph. Then its connectivity K(r) equals its valency k. Also, the only disconnecting sets of size k are the sets r(x) of all neighbours of a vertex x. PROOF. Clearly K(r) ~ k. Let S be a disconnecting set of vertices not containing all neighbours of some vertex. Let r\S = A + B be a separation of r\S (i.e. A and Bare nonempty and there are no edges between A and B). Since the eigenvalues of A and B interlace those of T (which are k, r, s with k> r ~ 0> - 2 ~ s, where k has multiplicity 1) it follows that at least one of A and B, say B, has largest eigenvalue at most r. (cf. [2], theorem 0.10.) It follows that the average valency of B is at most r, and in particular that r>O.