Enumerating Bases of Self-Dual Matroids
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Duality Respecting Representations and Compatible Complexity
Duality Respecting Representations and Compatible Complexity Measures for Gammoids Immanuel Albrecht FernUniversit¨at in Hagen, Department of Mathematics and Computer Science, Discrete Mathematics and Optimization D-58084 Hagen, Germany Abstract We show that every gammoid has special digraph representations, such that a representation of the dual of the gammoid may be easily obtained by reversing all arcs. In an informal sense, the duality notion of a poset applied to the digraph of a special representation of a gammoid commutes with the operation of forming the dual of that gammoid. We use these special representations in order to define a complexity measure for gammoids, such that the classes of gammoids with bounded complexity are closed under duality, minors, and direct sums. Keywords: gammoids, digraphs, duality, complexity measure 2010 MSC: 05B35, 05C20, 06D50 A well-known result due to J.H. Mason is that the class of gammoids is closed under duality, minors, and direct sums [1]. Furthermore, it has been shown by D. Mayhew that every gammoid is also a minor of an excluded minor for the class of gammoids [2], which indicates that handling the class of all gammoids may get very involved. In this work, we introduce a notion of complexity for gammoids which may be used to define subclasses of gammoids with bounded complexity, that still have the desirable property of being closed under duality, minors, and direct sums; yet their representations have a more limited number arXiv:1807.00588v2 [math.CO] 27 Jun 2020 of arcs than the general class of gammoids. 1. Preliminaries In this work, we consider matroids to be pairs M = (E, I) where E is a finite set and I is a system of independent subsets of E subject to the usual axioms ([3], Sec. -
The Minimum Cost Query Problem on Matroids with Uncertainty Areas Arturo I
The minimum cost query problem on matroids with uncertainty areas Arturo I. Merino Department of Mathematical Engineering and CMM, Universidad de Chile & UMI-CNRS 2807, Santiago, Chile [email protected] José A. Soto Department of Mathematical Engineering and CMM, Universidad de Chile & UMI-CNRS 2807, Santiago, Chile [email protected] Abstract We study the minimum weight basis problem on matroid when elements’ weights are uncertain. For each element we only know a set of possible values (an uncertainty area) that contains its real weight. In some cases there exist bases that are uniformly optimal, that is, they are minimum weight bases for every possible weight function obeying the uncertainty areas. In other cases, computing such a basis is not possible unless we perform some queries for the exact value of some elements. Our main result is a polynomial time algorithm for the following problem. Given a matroid with uncertainty areas and a query cost function on its elements, find the set of elements of minimum total cost that we need to simultaneously query such that, no matter their revelation, the resulting instance admits a uniformly optimal base. We also provide combinatorial characterizations of all uniformly optimal bases, when one exists; and of all sets of queries that can be performed so that after revealing the corresponding weights the resulting instance admits a uniformly optimal base. 2012 ACM Subject Classification Mathematics of computing → Matroids and greedoids Keywords and phrases Minimum spanning tree, matroids, uncertainty, queries Funding Work supported by Conicyt via Fondecyt 1181180 and PIA AFB-170001. 1 Introduction We study fundamental combinatorial optimization problems on weighted structures where the numerical data is uncertain but it can be queried at a cost. -
The Tutte Polynomial of Some Matroids Arxiv:1203.0090V1 [Math
The Tutte polynomial of some matroids Criel Merino∗, Marcelino Ram´ırez-Iba~nezy Guadalupe Rodr´ıguez-S´anchezz March 2, 2012 Abstract The Tutte polynomial of a graph or a matroid, named after W. T. Tutte, has the important universal property that essentially any mul- tiplicative graph or network invariant with a deletion and contraction reduction must be an evaluation of it. The deletion and contraction operations are natural reductions for many network models arising from a wide range of problems at the heart of computer science, engi- neering, optimization, physics, and biology. Even though the invariant is #P-hard to compute in general, there are many occasions when we face the task of computing the Tutte polynomial for some families of graphs or matroids. In this work we compile known formulas for the Tutte polynomial of some families of graphs and matroids. Also, we give brief explanations of the techniques that were use to find the for- mulas. Hopefully, this will be useful for researchers in Combinatorics arXiv:1203.0090v1 [math.CO] 1 Mar 2012 and elsewhere. ∗Instituto de Matem´aticas,Universidad Nacional Aut´onomade M´exico,Area de la Investigaci´onCient´ıfica, Circuito Exterior, C.U. Coyoac´an04510, M´exico,D.F.M´exico. e-mail:[email protected]. Supported by Conacyt of M´exicoProyect 83977 yEscuela de Ciencias, Universidad Aut´onoma Benito Ju´arez de Oaxaca, Oaxaca, M´exico.e-mail:[email protected] zDepartamento de Ciencias B´asicas Universidad Aut´onoma Metropolitana, Az- capozalco, Av. San Pablo No. 180, Col. Reynosa Tamaulipas, Azcapozalco 02200, M´exico D.F. -
Ma/CS 6B Class 8: Planar and Plane Graphs
1/26/2017 Ma/CS 6b Class 8: Planar and Plane Graphs By Adam Sheffer The Utilities Problem Problem. There are three houses on a plane. Each needs to be connected to the gas, water, and electricity companies. ◦ Is there a way to make all nine connections without any of the lines crossing each other? ◦ Using a third dimension or sending connections through a company or house is not allowed. 1 1/26/2017 Rephrasing as a Graph How can we rephrase the utilities problem as a graph problem? ◦ Can we draw 퐾3,3 without intersecting edges. Closed Curves A simple closed curve (or a Jordan curve) is a curve that does not cross itself and separates the plane into two regions: the “inside” and the “outside”. 2 1/26/2017 Drawing 퐾3,3 with no Crossings We try to draw 퐾3,3 with no crossings ◦ 퐾3,3 contains a cycle of length six, and it must be drawn as a simple closed curve 퐶. ◦ Each of the remaining three edges is either fully on the inside or fully on the outside of 퐶. 퐾3,3 퐶 No 퐾3,3 Drawing Exists We can only add one red-blue edge inside of 퐶 without crossings. Similarly, we can only add one red-blue edge outside of 퐶 without crossings. Since we need to add three edges, it is impossible to draw 퐾3,3 with no crossings. 퐶 3 1/26/2017 Drawing 퐾4 with no Crossings Can we draw 퐾4 with no crossings? ◦ Yes! Drawing 퐾5 with no Crossings Can we draw 퐾5 with no crossings? ◦ 퐾5 contains a cycle of length five, and it must be drawn as a simple closed curve 퐶. -
Lecture 0: Matroid Basics
Parameterized Algorithms using Matroids Lecture 0: Matroid Basics Saket Saurabh The Institute of Mathematical Sciences, India and University of Bergen, Norway. ADFOCS 2013, MPI, August 04-09, 2013 Kruskal's Greedy Algorithm for MWST Let G = (V; E) be a connected undirected graph and let ≥0 w : E ! R be a weight function on the edges. Kruskal's so-called greedy algorithm is as follows. The algorithm consists of selecting successively edges e1; e2; : : : ; er. If edges e1; e2; : : : ; ek has been selected, then an edge e 2 E is selected so that: 1 e=2f e1; : : : ; ekg and fe; e1; : : : ; ekg is a forest. 2 w(e) is as small as possible among all edges e satisfying (1). We take ek+1 := e. If no e satisfying (1) exists then fe1; : : : ; ekg is a spanning tree. Kruskal's Greedy Algorithm for MWST Let G = (V; E) be a connected undirected graph and let ≥0 w : E ! R be a weight function on the edges. Kruskal's so-called greedy algorithm is as follows. The algorithm consists of selecting successively edges e1; e2; : : : ; er. If edges e1; e2; : : : ; ek has been selected, then an edge e 2 E is selected so that: 1 e=2f e1; : : : ; ekg and fe; e1; : : : ; ekg is a forest. 2 w(e) is as small as possible among all edges e satisfying (1). We take ek+1 := e. If no e satisfying (1) exists then fe1; : : : ; ekg is a spanning tree. It is obviously not true that such a greedy approach would lead to an optimal solution for any combinatorial optimization problem. -
Planarity and Duality of Finite and Infinite Graphs
JOURNAL OF COMBINATORIAL THEORY, Series B 29, 244-271 (1980) Planarity and Duality of Finite and Infinite Graphs CARSTEN THOMASSEN Matematisk Institut, Universitets Parken, 8000 Aarhus C, Denmark Communicated by the Editors Received September 17, 1979 We present a short proof of the following theorems simultaneously: Kuratowski’s theorem, Fary’s theorem, and the theorem of Tutte that every 3-connected planar graph has a convex representation. We stress the importance of Kuratowski’s theorem by showing how it implies a result of Tutte on planar representations with prescribed vertices on the same facial cycle as well as the planarity criteria of Whit- ney, MacLane, Tutte, and Fournier (in the case of Whitney’s theorem and MacLane’s theorem this has already been done by Tutte). In connection with Tutte’s planarity criterion in terms of non-separating cycles we give a short proof of the result of Tutte that the induced non-separating cycles in a 3-connected graph generate the cycle space. We consider each of the above-mentioned planarity criteria for infinite graphs. Specifically, we prove that Tutte’s condition in terms of overlap graphs is equivalent to Kuratowski’s condition, we characterize completely the infinite graphs satisfying MacLane’s condition and we prove that the 3- connected locally finite ones have convex representations. We investigate when an infinite graph has a dual graph and we settle this problem completely in the locally finite case. We show by examples that Tutte’s criterion involving non-separating cy- cles has no immediate extension to infinite graphs, but we present some analogues of that criterion for special classes of infinite graphs. -
Branch-Depth: Generalizing Tree-Depth of Graphs
Branch-depth: Generalizing tree-depth of graphs ∗1 †‡23 34 Matt DeVos , O-joung Kwon , and Sang-il Oum† 1Department of Mathematics, Simon Fraser University, Burnaby, Canada 2Department of Mathematics, Incheon National University, Incheon, Korea 3Discrete Mathematics Group, Institute for Basic Science (IBS), Daejeon, Korea 4Department of Mathematical Sciences, KAIST, Daejeon, Korea [email protected], [email protected], [email protected] November 5, 2020 Abstract We present a concept called the branch-depth of a connectivity function, that generalizes the tree-depth of graphs. Then we prove two theorems showing that this concept aligns closely with the no- tions of tree-depth and shrub-depth of graphs as follows. For a graph G = (V, E) and a subset A of E we let λG(A) be the number of vertices incident with an edge in A and an edge in E A. For a subset X of V , \ let ρG(X) be the rank of the adjacency matrix between X and V X over the binary field. We prove that a class of graphs has bounded\ tree-depth if and only if the corresponding class of functions λG has arXiv:1903.11988v2 [math.CO] 4 Nov 2020 bounded branch-depth and similarly a class of graphs has bounded shrub-depth if and only if the corresponding class of functions ρG has bounded branch-depth, which we call the rank-depth of graphs. Furthermore we investigate various potential generalizations of tree- depth to matroids and prove that matroids representable over a fixed finite field having no large circuits are well-quasi-ordered by restriction. -
A Dual Fano, and Dual Non-Fano Matroidal Network Stephen Lee Johnson California State University - San Bernardino, [email protected]
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by CSUSB ScholarWorks California State University, San Bernardino CSUSB ScholarWorks Electronic Theses, Projects, and Dissertations Office of Graduate Studies 6-2016 A Dual Fano, and Dual Non-Fano Matroidal Network Stephen Lee Johnson California State University - San Bernardino, [email protected] Follow this and additional works at: http://scholarworks.lib.csusb.edu/etd Part of the Other Mathematics Commons Recommended Citation Johnson, Stephen Lee, "A Dual Fano, and Dual Non-Fano Matroidal Network" (2016). Electronic Theses, Projects, and Dissertations. Paper 340. This Thesis is brought to you for free and open access by the Office of Graduate Studies at CSUSB ScholarWorks. It has been accepted for inclusion in Electronic Theses, Projects, and Dissertations by an authorized administrator of CSUSB ScholarWorks. For more information, please contact [email protected]. A Dual Fano, and Dual Non-Fano Matroidal Network A Thesis Presented to the Faculty of California State University, San Bernardino In Partial Fulfillment of the Requirements for the Degree Master of Arts in Mathematics by Stephen Lee Johnson June 2016 A Dual Fano, and Dual Non-Fano Matroidal Network A Thesis Presented to the Faculty of California State University, San Bernardino by Stephen Lee Johnson June 2016 Approved by: Dr. Chris Freiling, Committee Chair Date Dr. Wenxiang Wang, Committee Member Dr. Jeremy Aikin, Committee Member Dr. Charles Stanton, Chair, Dr. Corey Dunn Department of Mathematics Graduate Coordinator, Department of Mathematics iii Abstract Matroidal networks are useful tools in furthering research in network coding. They have been used to show the limitations of linear coding solutions. -
On the Treewidth of Triangulated 3-Manifolds
On the Treewidth of Triangulated 3-Manifolds Kristóf Huszár Institute of Science and Technology Austria (IST Austria) Am Campus 1, 3400 Klosterneuburg, Austria [email protected] https://orcid.org/0000-0002-5445-5057 Jonathan Spreer1 Institut für Mathematik, Freie Universität Berlin Arnimallee 2, 14195 Berlin, Germany [email protected] https://orcid.org/0000-0001-6865-9483 Uli Wagner Institute of Science and Technology Austria (IST Austria) Am Campus 1, 3400 Klosterneuburg, Austria [email protected] https://orcid.org/0000-0002-1494-0568 Abstract In graph theory, as well as in 3-manifold topology, there exist several width-type parameters to describe how “simple” or “thin” a given graph or 3-manifold is. These parameters, such as pathwidth or treewidth for graphs, or the concept of thin position for 3-manifolds, play an important role when studying algorithmic problems; in particular, there is a variety of problems in computational 3-manifold topology – some of them known to be computationally hard in general – that become solvable in polynomial time as soon as the dual graph of the input triangulation has bounded treewidth. In view of these algorithmic results, it is natural to ask whether every 3-manifold admits a triangulation of bounded treewidth. We show that this is not the case, i.e., that there exists an infinite family of closed 3-manifolds not admitting triangulations of bounded pathwidth or treewidth (the latter implies the former, but we present two separate proofs). We derive these results from work of Agol and of Scharlemann and Thompson, by exhibiting explicit connections between the topology of a 3-manifold M on the one hand and width-type parameters of the dual graphs of triangulations of M on the other hand, answering a question that had been raised repeatedly by researchers in computational 3-manifold topology. -
5 Graph Theory
last edited March 21, 2016 5 Graph Theory Graph theory – the mathematical study of how collections of points can be con- nected – is used today to study problems in economics, physics, chemistry, soci- ology, linguistics, epidemiology, communication, and countless other fields. As complex networks play fundamental roles in financial markets, national security, the spread of disease, and other national and global issues, there is tremendous work being done in this very beautiful and evolving subject. The first several sections covered number systems, sets, cardinality, rational and irrational numbers, prime and composites, and several other topics. We also started to learn about the role that definitions play in mathematics, and we have begun to see how mathematicians prove statements called theorems – we’ve even proven some ourselves. At this point we turn our attention to a beautiful topic in modern mathematics called graph theory. Although this area was first introduced in the 18th century, it did not mature into a field of its own until the last fifty or sixty years. Over that time, it has blossomed into one of the most exciting, and practical, areas of mathematical research. Many readers will first associate the word ‘graph’ with the graph of a func- tion, such as that drawn in Figure 4. Although the word graph is commonly Figure 4: The graph of a function y = f(x). used in mathematics in this sense, it is also has a second, unrelated, meaning. Before providing a rigorous definition that we will use later, we begin with a very rough description and some examples. -
SELF-DUAL GRAPHS 1. Self-Duality of Graphs 1.1. Forms of Self
SELF-DUAL GRAPHS BRIGITTE SERVATIUS AND HERMAN SERVATIUS Abstract. We consider the three forms of self-duality that can be exhibited by a planar graph G, map self-duality, graph self-duality and matroid self- duality. We show how these concepts are related with each other and with the connectivity of G. We use the geometry of self-dual polyhedra together with the structure of the cycle matroid to construct all self-dual graphs. 1. Self-Duality of Graphs 1.1. Forms of Self-duality. Given a planar graph G = (V, E), any regular em- bedding of the topological realization of G into the sphere partitions the sphere into regions called the faces of the embedding, and we write the embedded graph, called a map, as M = (V, E, F ). G may have loops and parallel edges. Given a map M, we form the dual map, M ∗ by placing a vertex f ∗ in the center of each face f, and for ∗ each edge e of M bounding two faces f1 and f2, we draw a dual edge e connecting ∗ ∗ the vertices f1 and f2 and crossing e once transversely. Each vertex v of M will then correspond to a face v∗ of M ∗ and we write M ∗ = (F ∗,E∗,V ∗). If the graph G has distinguishable embeddings, then G may have more than one dual graph, see Figure 1. In this example a portion of the map (V, E, F ) is flipped over on a Q ¡@A@ ¡BB Q ¡ sA @ ¡ sB QQ ¨¨ HH H ¨¨PP ¨¨ ¨ H H ¨ H@ HH¨ @ PP ¨ B¨¨ HH HH HH ¨¨ ¨¨ H HH H ¨¨PP ¨ @ Hs ¨s @¨c H c @ Hs ¢¢ HHs @¨c P@Pc¨¨ s s c c c c s s c c c c @ A ¡ @ A ¢ @s@A ¡ s c c @s@A¢ s c c ∗ ∗ ∗ ∗ 0 ∗ 0∗ ∗ ∗ (V, E,s F ) −→ (F ,E ,V ) (V, E,s F ) −→ (F ,E ,V ) Figure 1. -
Master's Thesis
Master's thesis BWO: Wiskunde∗ A search for the regular tessellations of closed hyperbolic surfaces Student: Benny John Aalders 1st supervisor: Prof. dr. Gert Vegter 2nd supervisor: Dr. Alef Sterk 31st August 2017 ∗Part of the master track: Educatie en Communicatie in de Wiskunde en Natuur- wetenschappen Abstract In this thesis we study regular tessellations of closed orientable surfaces of genus 2 and higher. We differentiate between a purely topological setting and a metric setting. In the topological setting we will describe an algorithm that finds all possible regular tessellations. We also provide the output of this algorithm for genera 2 up to and including 10. In the metric setting we will prove that all topological regular tessellations can be realized metrically. Our method provides an alternative to that of Edmonds, Ewing and Kulkarni. Contents 1 Introduction 1 2 Preliminaries 2 2.1 Hyperbolic geometry . .2 2.2 Fundamental domains . .3 2.3 Side pairings . .4 2.4 A brief discussion on Poincar´e'sTheorem . .5 2.5 Riemann Surfaces . .6 2.6 Tessellations . .9 3 Tessellations of a closed orientable genus-2+ surface 14 3.1 Tessellations of a closed orientable genus-2+ surface consisting of one tile . 14 3.2 How to represent a closed orientable genus-2+ surface as a poly- gon. 16 3.3 Find all regular tessellations of a closed orientable genus-2+ surface 17 4 Making metric regular tessellations out of topological regular tessellations 19 4.1 Exploring the possibilities . 19 4.2 Going from topologically regular to metrically regular . 21 Appendices A An Octave script that prints what all possible fp; qg tessellations for some closed orientable genus-g surface are into a file 28 B All regular tessellations of closed orientable surfaces of genus 2 to 10 33 References 52 1 Introduction In this thesis we will show how to find all possible regular tessellations of a genus-g surface, where g ≥ 2 (genus-2+ surfaces for short).