Rank-Width and Well-Quasi-Ordering of Skew-Symmetric Or Symmetric
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Arxiv:1403.0920V3 [Math.CO] 1 Mar 2019
Matroids, delta-matroids and embedded graphs Carolyn Chuna, Iain Moffattb, Steven D. Noblec,, Ralf Rueckriemend,1 aMathematics Department, United States Naval Academy, Chauvenet Hall, 572C Holloway Road, Annapolis, Maryland 21402-5002, United States of America bDepartment of Mathematics, Royal Holloway University of London, Egham, Surrey, TW20 0EX, United Kingdom cDepartment of Mathematics, Brunel University, Uxbridge, Middlesex, UB8 3PH, United Kingdom d Aschaffenburger Strasse 23, 10779, Berlin Abstract Matroid theory is often thought of as a generalization of graph theory. In this paper we propose an analogous correspondence between embedded graphs and delta-matroids. We show that delta-matroids arise as the natural extension of graphic matroids to the setting of embedded graphs. We show that various basic ribbon graph operations and concepts have delta-matroid analogues, and illus- trate how the connections between embedded graphs and delta-matroids can be exploited. Also, in direct analogy with the fact that the Tutte polynomial is matroidal, we show that several polynomials of embedded graphs from the liter- ature, including the Las Vergnas, Bollab´as-Riordanand Krushkal polynomials, are in fact delta-matroidal. Keywords: matroid, delta-matroid, ribbon graph, quasi-tree, partial dual, topological graph polynomial 2010 MSC: 05B35, 05C10, 05C31, 05C83 1. Overview Matroid theory is often thought of as a generalization of graph theory. Many results in graph theory turn out to be special cases of results in matroid theory. This is beneficial -
Parity Systems and the Delta-Matroid Intersection Problem
Parity Systems and the Delta-Matroid Intersection Problem Andr´eBouchet ∗ and Bill Jackson † Submitted: February 16, 1998; Accepted: September 3, 1999. Abstract We consider the problem of determining when two delta-matroids on the same ground-set have a common base. Our approach is to adapt the theory of matchings in 2-polymatroids developed by Lov´asz to a new abstract system, which we call a parity system. Examples of parity systems may be obtained by combining either, two delta- matroids, or two orthogonal 2-polymatroids, on the same ground-sets. We show that many of the results of Lov´aszconcerning ‘double flowers’ and ‘projections’ carry over to parity systems. 1 Introduction: the delta-matroid intersec- tion problem A delta-matroid is a pair (V, ) with a finite set V and a nonempty collection of subsets of V , called theBfeasible sets or bases, satisfying the following axiom:B ∗D´epartement d’informatique, Universit´edu Maine, 72017 Le Mans Cedex, France. [email protected] †Department of Mathematical and Computing Sciences, Goldsmiths’ College, London SE14 6NW, England. [email protected] 1 the electronic journal of combinatorics 7 (2000), #R14 2 1.1 For B1 and B2 in and v1 in B1∆B2, there is v2 in B1∆B2 such that B B1∆ v1, v2 belongs to . { } B Here P ∆Q = (P Q) (Q P ) is the symmetric difference of two subsets P and Q of V . If X\ is a∪ subset\ of V and if we set ∆X = B∆X : B , then we note that (V, ∆X) is a new delta-matroid.B The{ transformation∈ B} (V, ) (V, ∆X) is calledB a twisting. -
Matroids, Cyclic Flats, and Polyhedra
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by ResearchArchive at Victoria University of Wellington Matroids, Cyclic Flats, and Polyhedra by Kadin Prideaux A thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Master of Science in Mathematics. Victoria University of Wellington 2016 Abstract Matroids have a wide variety of distinct, cryptomorphic axiom systems that are capable of defining them. A common feature of these is that they areable to be efficiently tested, certifying whether a given input complies withsuch an axiom system in polynomial time. Joseph Bonin and Anna de Mier, re- discovering a theorem first proved by Julie Sims, developed an axiom system for matroids in terms of their cyclic flats and the ranks of those cyclic flats. As with other matroid axiom systems, this is able to be tested in polynomial time. Distinct, non-isomorphic matroids may each have the same lattice of cyclic flats, and so matroids cannot be defined solely in terms of theircyclic flats. We do not have a clean characterisation of families of sets thatare cyclic flats of matroids. However, it may be possible to tell in polynomial time whether there is any matroid that has a given lattice of subsets as its cyclic flats. We use Bonin and de Mier’s cyclic flat axioms to reduce the problem to a linear program, and show that determining whether a given lattice is the lattice of cyclic flats of any matroid corresponds to finding in- tegral points in the solution space of this program, these points representing the possible ranks that may be assigned to the cyclic flats. -
Templates for Representable Matroids Kevin Manuel Grace Louisiana State University and Agricultural and Mechanical College, [email protected]
Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 6-12-2018 Templates for Representable Matroids Kevin Manuel Grace Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Discrete Mathematics and Combinatorics Commons Recommended Citation Grace, Kevin Manuel, "Templates for Representable Matroids" (2018). LSU Doctoral Dissertations. 4610. https://digitalcommons.lsu.edu/gradschool_dissertations/4610 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. TEMPLATES FOR REPRESENTABLE MATROIDS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Department of Mathematics by Kevin Manuel Grace B.S., Pensacola Christian College, 2006 M.S., University of South Alabama, 2010 August 2018 \It is the glory of God to conceal a thing: but the honour of kings is to search out a matter." Proverbs 25:2 ii Acknowledgments It is a profound understatement to say that this dissertation would not have been possible without my advisor, Professor Stefan van Zwam. He has had a tremendous influence on every aspect of this dissertation. I would especially like to thank him for his guidance on presenting my research and for his help with the programming that was necessary. It was an honor to be his first graduate student. -
Matroid Partitioning Algorithm Described in the Paper Here with Ray’S Interest in Doing Ev- Erything Possible by Using Network flow Methods
Chapter 7 Matroid Partition Jack Edmonds Introduction by Jack Edmonds This article, “Matroid Partition”, which first appeared in the book edited by George Dantzig and Pete Veinott, is important to me for many reasons: First for per- sonal memories of my mentors, Alan J. Goldman, George Dantzig, and Al Tucker. Second, for memories of close friends, as well as mentors, Al Lehman, Ray Fulker- son, and Alan Hoffman. Third, for memories of Pete Veinott, who, many years after he invited and published the present paper, became a closest friend. And, finally, for memories of how my mixed-blessing obsession with good characterizations and good algorithms developed. Alan Goldman was my boss at the National Bureau of Standards in Washington, D.C., now the National Institutes of Science and Technology, in the suburbs. He meticulously vetted all of my math including this paper, and I would not have been a math researcher at all if he had not encouraged it when I was a university drop-out trying to support a baby and stay-at-home teenage wife. His mentor at Princeton, Al Tucker, through him of course, invited me with my child and wife to be one of the three junior participants in a 1963 Summer of Combinatorics at the Rand Corporation in California, across the road from Muscle Beach. The Bureau chiefs would not approve this so I quit my job at the Bureau so that I could attend. At the end of the summer Alan hired me back with a big raise. Dantzig was and still is the only historically towering person I have known. -
On the Excluded Minors for Matroids of Branch-Width Three
On the Excluded Minors for Matroids of Branch-Width Three Petr Hlinˇen´y∗ School of Mathematical and Computing Sciences, Victoria University, P.O. Box 600, Wellington, New Zealand; and Institute for Theoretical Computer Science†(ITI MFF), Charles University, Malostransk´en´am. 25, 118 00 Praha 1, Czech Republic. [email protected] Submitted: March 19, 2002; Accepted: July 23, 2002. Abstract Knowing the excluded minors for a minor-closed matroid property provides a useful alternative characterization of that property. It has been shown in [R. Hall, J. Oxley, C. Semple, G. Whittle, On Matroids of Branch-Width Three, submitted 2001] that if M is an excluded minor for matroids of branch-width 3, then M has at most 14 elements. We show that there are exactly 10 such binary matroids M (7 of which are regular), proving a conjecture formulated by Dharmatilake in 1994. We also construct numbers of such ternary and quaternary matroids M, and provide a simple practical algorithm for finding a width-3 branch-decomposition of a matroid. The arguments in our paper are computer-assisted | we use a program Macek [P. Hlinˇen´y, The Macek Program, http://www.mcs.vuw.ac.nz/research/macek, 2002] for structural computations with represented matroids. Unfortunately, it seems to be infeasible to search through all matroids on at most 14 elements. Keywords: representable matroid, minor, branch-width. MR Subject Classifications: 05B35, 05C83 ∗The research was supported by a New Zealand Marsden Fund research grant to Geoff Whittle. y(Supported by the Ministry of Education of Czech Republic as project LN00A056.) the electronic journal of combinatorics 9 (2002), #R32 1 1 Introduction We assume that the reader is familiar with basic terms of graph theory. -
Well-Quasi-Ordering of Matrices Under Schur Complement And
Well-Quasi-Ordering of Matrices under Schur Complement and Applications to Directed Graphs Mamadou Moustapha Kanté Clermont-Université, Université Blaise Pascal, LIMOS, CNRS Complexe Scientifique des Cézeaux 63173 Aubiére Cedex, France [email protected] Abstract In [Rank-Width and Well-Quasi-Ordering of Skew-Symmetric or Symmetric Matri- ces, arXiv:1007.3807v1] Oum proved that, for a fixed finite field F, any infinite se- quence M1, M2,... of (skew) symmetric matrices over F of bounded F-rank-width has a pair i < j, such that Mi is isomorphic to a principal submatrix of a principal pivot transform of Mj. We generalise this result to σ-symmetric matrices introduced by Rao and myself in [The Rank-Width of Edge-Coloured Graphs, arXiv:0709.1433v4]. (Skew) symmetric matrices are special cases of σ-symmetric matrices. As a by- product, we obtain that for every infinite sequence G1, G2,... of directed graphs of bounded rank-width there exist a pair i < j such that Gi is a pivot-minor of Gj. Another consequence is that non-singular principal submatrices of a σ-symmetric matrix form a delta-matroid. We extend in this way the notion of representability of delta-matroids by Bouchet. Key words: rank-width; sigma-symmetry; edge-coloured graph; well-quasi-ordering; principal pivot transform; pivot-minor. arXiv:1102.2134v3 [math.CO] 8 Jul 2014 1 Introduction Clique-width [6] is a graph complexity measure that emerges in the works by Courcelle et al. (see for instance the book [7]). It extends tree-width [21] in the sense that graph classes of bounded tree-width have bounded clique- width, but the converse is false (distance hereditary graphs have clique-width at most 3 and unbounded tree-width). -
Computing Algebraic Matroids
COMPUTING ALGEBRAIC MATROIDS ZVI ROSEN Abstract. An affine variety induces the structure of an algebraic matroid on the set of coordinates of the ambient space. The matroid has two natural decorations: a circuit poly- nomial attached to each circuit, and the degree of the projection map to each base, called the base degree. Decorated algebraic matroids can be computed via symbolic computation using Gr¨obnerbases, or through linear algebra in the space of differentials (with decora- tions calculated using numerical algebraic geometry). Both algorithms are developed here. Failure of the second algorithm occurs on a subvariety called the non-matroidal or NM- locus. Decorated algebraic matroids have widespread relevance anywhere that coordinates have combinatorial significance. Examples are computed from applied algebra, in algebraic statistics and chemical reaction network theory, as well as more theoretical examples from algebraic geometry and matroid theory. 1. Introduction Algebraic matroids have a surprisingly long history. They were studied as early as the 1930's by van der Waerden, in his textbook Moderne Algebra [27, Chapter VIII], and MacLane in one of his earliest papers on matroids [20]. The topic lay dormant until the 70's and 80's, when a number of papers about representability of matroids as algebraic ma- troids were published: notably by Ingleton and Main [12], Dress and Lovasz [7], the thesis of Piff [24], and extensively by Lindstr¨om([16{19], among others). In recent years, the al- gebraic matroids of toric varieties found application (e.g. in [22]); however, they have been primarily confined to that setting. Renewed interest in algebraic matroids comes from the field of matrix completion, starting with [14], where the set of entries of a low-rank matrix are the ground set of the algebraic matroid associated to the determinantal variety. -
Matroid Theory Release 9.4
Sage 9.4 Reference Manual: Matroid Theory Release 9.4 The Sage Development Team Aug 24, 2021 CONTENTS 1 Basics 1 2 Built-in families and individual matroids 77 3 Concrete implementations 97 4 Abstract matroid classes 149 5 Advanced functionality 161 6 Internals 173 7 Indices and Tables 197 Python Module Index 199 Index 201 i ii CHAPTER ONE BASICS 1.1 Matroid construction 1.1.1 Theory Matroids are combinatorial structures that capture the abstract properties of (linear/algebraic/...) dependence. For- mally, a matroid is a pair M = (E; I) of a finite set E, the groundset, and a collection of subsets I, the independent sets, subject to the following axioms: • I contains the empty set • If X is a set in I, then each subset of X is in I • If two subsets X, Y are in I, and jXj > jY j, then there exists x 2 X − Y such that Y + fxg is in I. See the Wikipedia article on matroids for more theory and examples. Matroids can be obtained from many types of mathematical structures, and Sage supports a number of them. There are two main entry points to Sage’s matroid functionality. The object matroids. contains a number of con- structors for well-known matroids. The function Matroid() allows you to define your own matroids from a variety of sources. We briefly introduce both below; follow the links for more comprehensive documentation. Each matroid object in Sage comes with a number of built-in operations. An overview can be found in the documen- tation of the abstract matroid class. -
Graphs of Bounded Rank-Width
Graphs of Bounded Rank-width Sang-il Oum A Dissertation Presented to the Faculty of Princeton University in Candidacy for the Degree of Doctor of Philosophy Recommended for Acceptance by the Program in Applied and Computational Mathematics May 2005 c Copyright by Sang-il Oum, 2005. All Rights Reserved iii Abstract We define rank-width of graphs to investigate clique-width. Rank-width is a com- plexity measure of decomposing a graph in a kind of tree-structure, called a rank- decomposition. We show that graphs have bounded rank-width if and only if they have bounded clique-width. It is unknown how to recognize graphs of clique-width at most k for fixed k > 3 in polynomial time. However, we find an algorithm recognizing graphs of rank-width at most k, by combining following three ingredients. First, we construct a polynomial-time algorithm, for fixed k, that confirms rank- width is larger than k or outputs a rank-decomposition of width at most f(k) for some function f. It was known that many hard graph problems have polynomial-time algo- rithms for graphs of bounded clique-width, however, requiring a given decomposition corresponding to clique-width (k-expression); we remove this requirement. Second, we define graph vertex-minors which generalizes matroid minors, and prove that if {G1,G2,...} is an infinite sequence of graphs of bounded rank-width, then there exist i < j such that Gi is isomorphic to a vertex-minor of Gj. Conse- quently there is a finite list Ck of graphs such that a graph has rank-width at most k if and only if none of its vertex-minors are isomorphic to a graph in Ck. -
Submodular Functions, Optimization, and Applications to Machine Learning — Spring Quarter, Lecture 6 —
Submodular Functions, Optimization, and Applications to Machine Learning — Spring Quarter, Lecture 6 — http://www.ee.washington.edu/people/faculty/bilmes/classes/ee563_spring_2018/ Prof. Jeff Bilmes University of Washington, Seattle Department of Electrical Engineering http://melodi.ee.washington.edu/~bilmes April 11th, 2018 f (A) + f (B) f (A B) + f (A B) Clockwise from top left:v Lásló Lovász Jack Edmonds ∪ ∩ Satoru Fujishige George Nemhauser ≥ Laurence Wolsey = f (A ) + 2f (C) + f (B ) = f (A ) +f (C) + f (B ) = f (A B) András Frank r r r r Lloyd Shapley ∩ H. Narayanan Robert Bixby William Cunningham William Tutte Richard Rado Alexander Schrijver Garrett Birkho Hassler Whitney Richard Dedekind Prof. Jeff Bilmes EE563/Spring 2018/Submodularity - Lecture 6 - April 11th, 2018 F1/46 (pg.1/163) Logistics Review Cumulative Outstanding Reading Read chapter 1 from Fujishige’s book. Read chapter 2 from Fujishige’s book. Prof. Jeff Bilmes EE563/Spring 2018/Submodularity - Lecture 6 - April 11th, 2018 F2/46 (pg.2/163) Logistics Review Announcements, Assignments, and Reminders If you have any questions about anything, please ask then via our discussion board (https://canvas.uw.edu/courses/1216339/discussion_topics). Prof. Jeff Bilmes EE563/Spring 2018/Submodularity - Lecture 6 - April 11th, 2018 F3/46 (pg.3/163) Logistics Review Class Road Map - EE563 L1(3/26): Motivation, Applications, & L11(4/30): Basic Definitions, L12(5/2): L2(3/28): Machine Learning Apps L13(5/7): (diversity, complexity, parameter, learning L14(5/9): target, surrogate). L15(5/14): L3(4/2): Info theory exs, more apps, L16(5/16): definitions, graph/combinatorial examples L17(5/21): L4(4/4): Graph and Combinatorial Examples, Matrix Rank, Examples and L18(5/23): Properties, visualizations L–(5/28): Memorial Day (holiday) L5(4/9): More Examples/Properties/ L19(5/30): Other Submodular Defs., Independence, L21(6/4): Final Presentations L6(4/11): Matroids, Matroid Examples, maximization. -
Linear Matroid Intersection Is in Quasi-NC∗
Electronic Colloquium on Computational Complexity, Report No. 182 (2016) Linear Matroid Intersection is in quasi-NC∗ Rohit Gurjar1 and Thomas Thierauf2 1Tel Aviv University 2Aalen University November 14, 2016 Abstract Given two matroids on the same ground set, the matroid intersection problem asks to find a common independent set of maximum size. We show that the linear matroid intersection problem is in quasi-NC2. That is, it has uniform circuits of quasi-polynomial size nO(log n), and O(log2 n) depth. This generalizes the similar result for the bipartite perfect matching problem. We do this by an almost complete derandomization of the Isolation lemma for matroid intersection. Our result also implies a blackbox singularity test for symbolic matrices of the form A0 + A1z1 + A2z2 + ··· + Amzm, where the matrices A1;A2;:::;Am are of rank 1. 1 Introduction Matroids are combinatorial structures that generalize the notion of linear independence in Linear Algebra. A matroid M is a pair M = (E; I), where E is the finite ground set and I ⊆ P(E) is a family of subsets of E that are said to be the independent sets. There are two axioms the independent sets must satisfy: (1) closure under subsets and (2) the augmentation property. (See the Preliminary Section for exact definitions.) Matroids are motivated by Linear Algebra. For an n × m matrix V over some field, let v1; v2; : : : ; vm be the column vectors of V , in this order. We define the ground set E = f1; 2; : : : ; mg as the set of indices of the columns of V . A set I ⊆ E is defined to be independent, if the collection of vectors vi, for i 2 I, is linearly independent.