Part I. Graph Theory 3 Part II. Balance and Imbalance 8 Part III. Algebra 28
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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]. -
Some New General Lower Bounds for Mixed Metric Dimension of Graphs
Some new general lower bounds for mixed metric dimension of graphs Milica Milivojevi´cDanasa, Jozef Kraticab, Aleksandar Savi´cc, Zoran Lj. Maksimovi´cd, aFaculty of Science and Mathematics, University of Kragujevac, Radoja Domanovi´ca 12, Kragujevac, Serbia bMathematical Institute, Serbian Academy of Sciences and Arts, Kneza Mihaila 36/III, 11 000 Belgrade, Serbia cFaculty of Mathematics, University of Belgrade, Studentski trg 16/IV, 11000 Belgrade, Serbia dUniversity of Defence, Military Academy, Generala Pavla Juriˇsi´ca Sturmaˇ 33, 11000 Belgrade, Serbia Abstract Let G = (V, E) be a connected simple graph. The distance d(u, v) between vertices u and v from V is the number of edges in the shortest u − v path. If e = uv ∈ E is an edge in G than distance d(w, e) where w is some vertex in G is defined as d(w, e) = min(d(w,u),d(w, v)). Now we can say that vertex w ∈ V resolves two elements x, y ∈ V ∪ E if d(w, x) =6 d(w,y). The mixed resolving set is a set of vertices S, S ⊆ V if and only if any two elements of E ∪ V are resolved by some element of S. A minimal resolving set related to inclusion is called mixed resolving basis, and its cardinality is called the mixed metric dimension of a graph G. This graph invariant is recently introduced and it is of interest to find its general properties and determine its values for various classes of graphs. Since arXiv:2007.05808v1 [math.CO] 11 Jul 2020 the problem of finding mixed metric dimension is a minimization problem, of interest is also to find lower bounds of good quality. -
Distances, Diameter, Girth, and Odd Girth in Generalized Johnson Graphs
Distances, Diameter, Girth, and Odd Girth in Generalized Johnson Graphs Ari J. Herman Dept. of Mathematics & Statistics Portland State University, Portland, OR, USA Mathematical Literature and Problems project in partial fulfillment of requirements for the Masters of Science in Mathematics Under the direction of Dr. John Caughman with second reader Dr. Derek Garton Abstract Let v > k > i be non-negative integers. The generalized Johnson graph, J(v; k; i), is the graph whose vertices are the k-subsets of a v-set, where vertices A and B are adjacent whenever jA \ Bj = i. In this project, we present the results of the paper \On the girth and diameter of generalized Johnson graphs," by Agong, Amarra, Caughman, Herman, and Terada [1], along with a number of related additional results. In particular, we derive general formulas for the girth, diameter, and odd girth of J(v; k; i). Furthermore, we provide a formula for the distance between any two vertices A and B in terms of the cardinality of their intersection. We close with a number of possible future directions. 2 1. Introduction In this project, we present the results of the paper \On the girth and diameter of generalized Johnson graphs," by Agong, Amarra, Caughman, Herman, and Terada [1], along with a number of related additional results. Let v > k > i be non-negative integers. The generalized Johnson graph, X = J(v; k; i), is the graph whose vertices are the k-subsets of a v-set, with adjacency defined by A ∼ B , jA \ Bj = i: (1) Generalized Johnson graphs were introduced by Chen and Lih in [4]. -
Properties of Codes in the Johnson Scheme
Properties of Codes in the Johnson Scheme Natalia Silberstein Properties of Codes in the Johnson Scheme Research Thesis In Partial Fulfillment of the Requirements for the Degree of Master of Science in Applied Mathematics Natalia Silberstein Submitted to the Senate of the Technion - Israel Institute of Technology Shvat 5767 Haifa February 2007 The Research Thesis Was Done Under the Supervision of Professor Tuvi Etzion in the Faculty of Mathematics I wish to express my sincere gratitude to my supervisor, Prof. Tuvi Etzion for his guidance and kind support. I would also like to thank my family and my friends for thear support. The Generous Financial Help Of The Technion and Israeli Science Foundation Is Gratefully Acknowledged. Contents Abstract 1 List of symbols and abbreviations 3 1 Introduction 4 1.1 Definitions.................................. 5 1.1.1 Blockdesigns............................ 5 1.2 PerfectcodesintheHammingmetric. .. 7 1.3 Perfect codes in the Johnson metric (survey of known results)....... 8 1.4 Organizationofthiswork. 13 2 Perfect codes in J(n, w) 15 2.1 t-designs and codes in J(n, w) ....................... 15 2.1.1 Divisibility conditions for 1-perfect codes in J(n, w) ....... 17 2.1.2 Improvement of Roos’ bound for 1-perfect codes . 20 2.1.3 Number theory’s constraints for size of Φ1(n, w) ......... 24 2.2 Moments .................................. 25 2.2.1 Introduction............................. 25 2.2.1.1 Configurationdistribution . 25 2.2.1.2 Moments. ........................ 26 2.2.2 Binomial moments for 1-perfect codes in J(n, w) ........ 27 2.2.2.1 Applicationsof Binomial momentsfor 1-perfect codes in J(n, w) ....................... -
On Snarks That Are Far from Being 3-Edge Colorable
On snarks that are far from being 3-edge colorable Jonas H¨agglund Department of Mathematics and Mathematical Statistics Ume˚aUniversity SE-901 87 Ume˚a,Sweden [email protected] Submitted: Jun 4, 2013; Accepted: Mar 26, 2016; Published: Apr 15, 2016 Mathematics Subject Classifications: 05C38, 05C70 Abstract In this note we construct two infinite snark families which have high oddness and low circumference compared to the number of vertices. Using this construction, we also give a counterexample to a suggested strengthening of Fulkerson's conjecture by showing that the Petersen graph is not the only cyclically 4-edge connected cubic graph which require at least five perfect matchings to cover its edges. Furthermore the counterexample presented has the interesting property that no 2-factor can be part of a cycle double cover. 1 Introduction A cubic graph is said to be colorable if it has a 3-edge coloring and uncolorable otherwise. A snark is an uncolorable cubic cyclically 4-edge connected graph. It it well known that an edge minimal counterexample (if such exists) to some classical conjectures in graph theory, such as the cycle double cover conjecture [15, 18], Tutte's 5-flow conjecture [19] and Fulkerson's conjecture [4], must reside in this family of graphs. There are various ways of measuring how far a snark is from being colorable. One such measure which was introduced by Huck and Kochol [8] is the oddness. The oddness of a bridgeless cubic graph G is defined as the minimum number of odd components in any 2-factor in G and is denoted by o(G). -
Isometric Diamond Subgraphs
Isometric Diamond Subgraphs David Eppstein Computer Science Department, University of California, Irvine [email protected] Abstract. We test in polynomial time whether a graph embeds in a distance- preserving way into the hexagonal tiling, the three-dimensional diamond struc- ture, or analogous higher-dimensional structures. 1 Introduction Subgraphs of square or hexagonal tilings of the plane form nearly ideal graph draw- ings: their angular resolution is bounded, vertices have uniform spacing, all edges have unit length, and the area is at most quadratic in the number of vertices. For induced sub- graphs of these tilings, one can additionally determine the graph from its vertex set: two vertices are adjacent whenever they are mutual nearest neighbors. Unfortunately, these drawings are hard to find: it is NP-complete to test whether a graph is a subgraph of a square tiling [2], a planar nearest-neighbor graph, or a planar unit distance graph [5], and Eades and Whitesides’ logic engine technique can also be used to show the NP- completeness of determining whether a given graph is a subgraph of the hexagonal tiling or an induced subgraph of the square or hexagonal tilings. With stronger constraints on subgraphs of tilings, however, they are easier to con- struct: one can test efficiently whether a graph embeds isometrically onto the square tiling, or onto an integer grid of fixed or variable dimension [7]. In an isometric em- bedding, the unweighted distance between any two vertices in the graph equals the L1 distance of their placements in the grid. An isometric embedding must be an induced subgraph, but not all induced subgraphs are isometric. -
Graphs with Flexible Labelings
Graphs with Flexible Labelings Georg Grasegger∗ Jan Legersk´yy Josef Schichoy For a flexible labeling of a graph, it is possible to construct infinitely many non-equivalent realizations keeping the distances of connected points con- stant. We give a combinatorial characterization of graphs that have flexible labelings, possibly non-generic. The characterization is based on colorings of the edges with restrictions on the cycles. Furthermore, we give necessary criteria and sufficient ones for the existence of such colorings. 1 Introduction Given a graph together with a labeling of its edges by positive real numbers, we are interested in the set of all functions from the set of vertices to the real plane such that the distance between any two connected vertices is equal to the label of the edge connecting them. Apparently, any such \realization" gives rise to infinitely many equivalent ones, by the action of the group of Euclidean congruence transformations. If the set of equivalence classes is finite and non-empty, then we say that the labeled graph is rigid; if this set is infinite, then we say that the labeling is flexible. The main result in this paper is a combinatorial characterization of graphs that have a flexible labeling. The characterization of graphs such that a generically chosen assign- ment of the vertices to the real plane gives a flexible labeling is classical: by a theorem of Geiringer-Pollaczek [8] which was rediscovered by Laman [6], this is true if the graph contains no Laman subgraph with the same set of vertices. Here, a graph G = (VG;EG) is called a Laman graph if and only if jEGj = 2jVGj − 3 and jEH j ≤ 2jVH j − 3 for any ∗Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences arXiv:1708.05298v2 [math.CO] 19 Nov 2018 yResearch Institute for Symbolic Computation (RISC), Johannes Kepler University Linz This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 675789. -
Cubic Vertex-Transitive Graphs of Girth Six
CUBIC VERTEX-TRANSITIVE GRAPHS OF GIRTH SIX PRIMOZˇ POTOCNIKˇ AND JANOSˇ VIDALI Abstract. In this paper, a complete classification of finite simple cubic vertex-transitive graphs of girth 6 is obtained. It is proved that every such graph, with the exception of the Desargues graph on 20 vertices, is either a skeleton of a hexagonal tiling of the torus, the skeleton of the truncation of an arc-transitive triangulation of a closed hyperbolic surface, or the truncation of a 6-regular graph with respect to an arc- transitive dihedral scheme. Cubic vertex-transitive graphs of girth larger than 6 are also discussed. 1. Introduction Cubic vertex-transitive graph are one of the oldest themes in algebraic graph theory, appearing already in the classical work of Foster [13, 14] and Tutte [33], and retaining the attention of the community until present times (see, for example, the works of Coxeter, Frucht and Powers [8], Djokovi´cand Miller [9], Lorimer [23], Conder and Lorimer [6], Glover and Maruˇsiˇc[15], Potoˇcnik, Spiga and Verret [27], Hua and Feng [16], Spiga [30], to name a few of the most influential papers). The girth (the length of a shortest cycle) is an important invariant of a graph which appears in many well-known graph theoretical problems, results and formulas. In many cases, requiring the graph to have small girth severely restricts the structure of the graph. Such a phenomenon can be observed when one focuses to a family of graphs of small valence possessing a high level of symmetry. For example, arc-transitive 4-valent graphs of girth at most 4 were characterised in [29]. -
The Distance-Regular Antipodal Covers of Classical Distance-Regular Graphs
COLLOQUIA MATHEMATICA SOCIETATIS JANOS BOLYAI 52. COMBINATORICS, EGER (HUNGARY), 198'7 The Distance-regular Antipodal Covers of Classical Distance-regular Graphs J. T. M. VAN BON and A. E. BROUWER 1. Introduction. If r is a graph and "Y is a vertex of r, then let us write r,("Y) for the set of all vertices of r at distance i from"/, and r('Y) = r 1 ('Y)for the set of all neighbours of 'Y in r. We shall also write ry ...., S to denote that -y and S are adjacent, and 'YJ. for the set h} u r b) of "/ and its all neighbours. r i will denote the graph with the same vertices as r, where two vertices are adjacent when they have distance i in r. The graph r is called distance-regular with diameter d and intersection array {bo, ... , bd-li c1, ... , cd} if for any two vertices ry, oat distance i we have lfH1(1')n nr(o)j = b, and jri-ib) n r(o)j = c,(o ::; i ::; d). Clearly bd =co = 0 (and C1 = 1). Also, a distance-regular graph r is regular of degree k = bo, and if we put ai = k- bi - c; then jf;(i) n r(o)I = a, whenever d("f, S) =i. We shall also use the notations k, = lf1b)I (this is independent of the vertex ry),). = a1,µ = c2 . For basic properties of distance-regular graphs, see Biggs [4]. The graph r is called imprimitive when for some I~ {O, 1, ... , d}, I-:/= {O}, If -:/= {O, 1, .. -
Tight Bounds for Online Edge Coloring
Tight Bounds for Online Edge Coloring Ilan Reuven Cohen∗1, Binghui Peng†‡2, and David Wajc§¶k3 1Carnegie Mellon University and University of Pittsburgh 2Tsinghua University 3Carnegie Mellon University Abstract Vizing’s celebrated theorem asserts that any graph of maximum degree ∆ admits an edge coloring using at most ∆ + 1 colors. In contrast, Bar-Noy, Motwani and Naor showed over a quarter century ago that the trivial greedy algorithm, which uses 2∆ 1 colors, is optimal among online algorithms. Their lower bound has a caveat, however: it− only applies to low- degree graphs, with ∆ = O(log n), and they conjectured the existence of online algorithms using ∆(1 + o(1)) colors for ∆= ω(log n). Progress towards resolving this conjecture was only made under stochastic arrivals (Aggarwal et al., FOCS’03 and Bahmani et al., SODA’10). We resolve the above conjecture for adversarial vertex arrivals in bipartite graphs, for which we present a (1+ o(1))∆-edge-coloring algorithm for ∆= ω(log n) known a priori. Surprisingly, if ∆ is not known ahead of time, we show that no e Ω(1) ∆-edge-coloring algorithm exists. e−1 − We then provide an optimal, e + o(1) ∆-edge-coloring algorithm for unknown ∆= ω(log n). e−1 Key to our results, and of possible independent interest, is a novel fractional relaxation for edge coloring, for which we present optimal fractional online algorithms and a near-lossless online rounding scheme, yielding our optimal randomized algorithms. ∗Email address: [email protected]. †Email address: [email protected]. ‡Work done in part while the author was visiting Carnegie Mellon University. -
Snarks and Flow-Critical Graphs 1
Snarks and Flow-Critical Graphs 1 CˆandidaNunes da Silva a Lissa Pesci a Cl´audioL. Lucchesi b a DComp – CCTS – ufscar – Sorocaba, sp, Brazil b Faculty of Computing – facom-ufms – Campo Grande, ms, Brazil Abstract It is well-known that a 2-edge-connected cubic graph has a 3-edge-colouring if and only if it has a 4-flow. Snarks are usually regarded to be, in some sense, the minimal cubic graphs without a 3-edge-colouring. We defined the notion of 4-flow-critical graphs as an alternative concept towards minimal graphs. It turns out that every snark has a 4-flow-critical snark as a minor. We verify, surprisingly, that less than 5% of the snarks with up to 28 vertices are 4-flow-critical. On the other hand, there are infinitely many 4-flow-critical snarks, as every flower-snark is 4-flow-critical. These observations give some insight into a new research approach regarding Tutte’s Flow Conjectures. Keywords: nowhere-zero k-flows, Tutte’s Flow Conjectures, 3-edge-colouring, flow-critical graphs. 1 Nowhere-Zero Flows Let k > 1 be an integer, let G be a graph, let D be an orientation of G and let ϕ be a weight function that associates to each edge of G a positive integer in the set {1, 2, . , k − 1}. The pair (D, ϕ) is a (nowhere-zero) k-flow of G 1 Support by fapesp, capes and cnpq if every vertex v of G is balanced, i. e., the sum of the weights of all edges leaving v equals the sum of the weights of all edges entering v. -
Hamilton Cycle Heuristics in Hard Graphs (Under the Direction of Pro- Fessor Carla D
ABSTRACT SHIELDS, IAN BEAUMONT Hamilton Cycle Heuristics in Hard Graphs (Under the direction of Pro- fessor Carla D. Savage) In this thesis, we use computer methods to investigate Hamilton cycles and paths in several families of graphs where general results are incomplete, including Kneser graphs, cubic Cayley graphs and the middle two levels graph. We describe a novel heuristic which has proven useful in finding Hamilton cycles in these families and compare its performance to that of other algorithms and heuristics. We describe methods for handling very large graphs on personal computers. We also explore issues in reducing the possible number of generating sets for cubic Cayley graphs generated by three involutions. Hamilton Cycle Heuristics in Hard Graphs by Ian Beaumont Shields A dissertation submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy Computer Science Raleigh 2004 APPROVED BY: ii Dedication To my wife Pat, and my children, Catherine, Brendan and Michael, for their understanding during these years of study. To the memory of Hanna Neumann who introduced me to combinatorial group theory. iii Biography Ian Shields was born on March 10, 1949 in Melbourne, Australia. He grew up and attended school near the foot of the Dandenong ranges. After a short time in actuarial work he attended the Australian National University in Canberra, where he graduated in 1973 with first class honours in pure mathematics. Ian worked for IBM and other companies in Australia, Canada and the United States, before resuming part-time study for a Masters Degree in Computer Science at North Carolina State University which he received in May 1995.