Operations on Partially Ordered Sets and Rational Identities of Type a Adrien Boussicault
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Contractions of Polygons in Abstract Polytopes
Contractions of Polygons in Abstract Polytopes by Ilya Scheidwasser B.S. in Computer Science, University of Massachusetts Amherst M.S. in Mathematics, Northeastern 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 March 31, 2015 Dissertation directed by Egon Schulte Professor of Mathematics Acknowledgements First, I would like to thank my advisor, Professor Egon Schulte. From the first class I took with him in the first semester of my Masters program, Professor Schulte was an engaging, clear, and kind lecturer, deepening my appreciation for mathematics and always more than happy to provide feedback and answer extra questions about the material. Every class with him was a sincere pleasure, and his classes helped lead me to the study of abstract polytopes. As my advisor, Professor Schulte provided me with invaluable assistance in the creation of this thesis, as well as career advice. For all the time and effort Professor Schulte has put in to my endeavors, I am greatly appreciative. I would also like to thank my dissertation committee for taking time out of their sched- ules to provide me with feedback on this thesis. In addition, I would like to thank the various instructors I've had at Northeastern over the years for nurturing my knowledge of and interest in mathematics. I would like to thank my peers and classmates at Northeastern for their company and their assistance with my studies, and the math department's Teaching Committee for the privilege of lecturing classes these past several years. -
On Finding Two Posets That Cover Given Linear Orders
algorithms Article On Finding Two Posets that Cover Given Linear Orders Ivy Ordanel 1,*, Proceso Fernandez, Jr. 2 and Henry Adorna 1 1 Department of Computer Science, University of the Philippines Diliman, Quezon City 1101, Philippines; [email protected] 2 Department of Information Sytems and Computer Science, Ateneo De Manila University, Quezon City 1108, Philippines; [email protected] * Correspondence: [email protected] Received: 13 August 2019; Accepted: 17 October 2019; Published: 19 October 2019 Abstract: The Poset Cover Problem is an optimization problem where the goal is to determine a minimum set of posets that covers a given set of linear orders. This problem is relevant in the field of data mining, specifically in determining directed networks or models that explain the ordering of objects in a large sequential dataset. It is already known that the decision version of the problem is NP-Hard while its variation where the goal is to determine only a single poset that covers the input is in P. In this study, we investigate the variation, which we call the 2-Poset Cover Problem, where the goal is to determine two posets, if they exist, that cover the given linear orders. We derive properties on posets, which leads to an exact solution for the 2-Poset Cover Problem. Although the algorithm runs in exponential-time, it is still significantly faster than a brute-force solution. Moreover, we show that when the posets being considered are tree-posets, the running-time of the algorithm becomes polynomial, which proves that the more restricted variation, which we called the 2-Tree-Poset Cover Problem, is also in P. -
Confluent Hasse Diagrams
Confluent Hasse diagrams David Eppstein Joseph A. Simons Department of Computer Science, University of California, Irvine, USA. October 29, 2018 Abstract We show that a transitively reduced digraph has a confluent upward drawing if and only if its reachability relation has order dimension at most two. In this case, we construct a confluent upward drawing with O(n2) features, in an O(n) × O(n) grid in O(n2) time. For the digraphs representing series-parallel partial orders we show how to construct a drawing with O(n) fea- tures in an O(n) × O(n) grid in O(n) time from a series-parallel decomposition of the partial order. Our drawings are optimal in the number of confluent junctions they use. 1 Introduction One of the most important aspects of a graph drawing is that it should be readable: it should convey the structure of the graph in a clear and concise way. Ease of understanding is difficult to quantify, so various proxies for readability have been proposed; one of the most prominent is the number of edge crossings. That is, we should minimize the number of edge crossings in our drawing (a planar drawing, if possible, is ideal), since crossings make drawings harder to read. Another measure of readability is the total amount of ink required by the drawing [1]. This measure can be formulated in terms of Tufte’s “data-ink ratio” [22,35], according to which a large proportion of the ink on any infographic should be devoted to information. Thus given two different ways to present information, we should choose the more succinct and crossing-free presentation. -
LNCS 7034, Pp
Confluent Hasse Diagrams DavidEppsteinandJosephA.Simons Department of Computer Science, University of California, Irvine, USA Abstract. We show that a transitively reduced digraph has a confluent upward drawing if and only if its reachability relation has order dimen- sion at most two. In this case, we construct a confluent upward drawing with O(n2)features,inanO(n) × O(n)gridinO(n2)time.Forthe digraphs representing series-parallel partial orders we show how to con- struct a drawing with O(n)featuresinanO(n)×O(n)gridinO(n)time from a series-parallel decomposition of the partial order. Our drawings are optimal in the number of confluent junctions they use. 1 Introduction One of the most important aspects of a graph drawing is that it should be readable: it should convey the structure of the graph in a clear and concise way. Ease of understanding is difficult to quantify, so various proxies for it have been proposed, including the number of crossings and the total amount of ink required by the drawing [1,18]. Thus given two different ways to present information, we should choose the more succinct and crossing-free presentation. Confluent drawing [7,8,9,15,16] is a style of graph drawing in which multiple edges are combined into shared tracks, and two vertices are considered to be adjacent if a smooth path connects them in these tracks (Figure 1). This style was introduced to re- duce crossings, and in many cases it will also Fig. 1. Conventional and confluent improve the ink requirement by represent- drawings of K5,5 ing dense subgraphs concisely. -
Some Lattices of Closure Systems on a Finite Set Nathalie Caspard, Bernard Monjardet
Some lattices of closure systems on a finite set Nathalie Caspard, Bernard Monjardet To cite this version: Nathalie Caspard, Bernard Monjardet. Some lattices of closure systems on a finite set. Discrete Mathematics and Theoretical Computer Science, DMTCS, 2004, 6 (2), pp.163-190. hal-00959003 HAL Id: hal-00959003 https://hal.inria.fr/hal-00959003 Submitted on 13 Mar 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Discrete Mathematics and Theoretical Computer Science 6, 2004, 163–190 Some lattices of closure systems on a finite set Nathalie Caspard1 and Bernard Monjardet2 1 LACL, Universite´ Paris 12 Val-de-Marne, 61 avenue du Gen´ eral´ de Gaulle, 94010 Creteil´ cedex, France. E-mail: [email protected] 2 CERMSEM, Maison des Sciences Economiques,´ Universite´ Paris 1, 106-112, bd de l’Hopital,ˆ 75647 Paris Cedex 13, France. E-mail: [email protected] received May 2003, accepted Feb 2004. In this paper we study two lattices of significant particular closure systems on a finite set, namely the union stable closure systems and the convex geometries. Using the notion of (admissible) quasi-closed set and of (deletable) closed set we determine the covering relation ≺ of these lattices and the changes induced, for instance, on the irreducible elements when one goes from C to C ′ where C and C ′ are two such closure systems satisfying C ≺ C ′. -
Single-Element Extensions of Matroids
JOURNAL OF RESEARCH of the National Bureau of Standards-B. Mathematics and Mathematical Physics Vol. 69B, Nos. 1 and 2, January-June 1965 Single-Element Extensions of Matroids Henry H. Crapo Assistant Professor of Mathematics, Northeastern University, Boston, Mass. (No ve mbe r 16, 1964) Extensions of matroids to sets containing one additional ele ment are c ha rac te ri zed in te rms or modular cuts of the lattice or closed s ubsets. An equivalent characterizati o n is given in terms or linear subclasse s or the set or circuits or bonds or the matroid. A scheme for the construc ti o n or finit e geo· me tric lattices is deri ved a nd th e existe nce of at least 2" no ni somorphic matroids on an II- ele ment set is established. Contents Page 1. introducti on .. .. 55 2. Differentials .. 55 3. Unit in crease runcti ons ... .... .. .... ........................ 57 4. Exact diffe re ntia ls .... ... .. .. .. ........ " . 58 5. Sin gle·ele me nt exte ns ions ... ... 59 6. Linear subclasses.. .. .. ... .. 60 7. Geo metric la ttices ................... 62 8. Numeri ca l c lassification of matroid s .... 62 9. Bibl iography.. .. ............... 64 1. Introduction I of ele ments Pi of a lattice L, in whic h Pi covers Pi - t for i = 1, . .. , n, is a path (of length n) from x to y. In order to facilitate induc tive proofs of matroid 2 theore ms, we shall set forth a characte rization of single A step is a path of length J. element extensions of matroid structures. -
Lecture Notes on Algebraic Combinatorics Jeremy L. Martin
Lecture Notes on Algebraic Combinatorics Jeremy L. Martin [email protected] December 3, 2012 Copyright c 2012 by Jeremy L. Martin. These notes are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. 2 Foreword The starting point for these lecture notes was my notes from Vic Reiner's Algebraic Combinatorics course at the University of Minnesota in Fall 2003. I currently use them for graduate courses at the University of Kansas. They will always be a work in progress. Please use them and share them freely for any research purpose. I have added and subtracted some material from Vic's course to suit my tastes, but any mistakes are my own; if you find one, please contact me at [email protected] so I can fix it. Thanks to those who have suggested additions and pointed out errors, including but not limited to: Logan Godkin, Alex Lazar, Nick Packauskas, Billy Sanders, Tony Se. 1. Posets and Lattices 1.1. Posets. Definition 1.1. A partially ordered set or poset is a set P equipped with a relation ≤ that is reflexive, antisymmetric, and transitive. That is, for all x; y; z 2 P : (1) x ≤ x (reflexivity). (2) If x ≤ y and y ≤ x, then x = y (antisymmetry). (3) If x ≤ y and y ≤ z, then x ≤ z (transitivity). We'll usually assume that P is finite. Example 1.2 (Boolean algebras). Let [n] = f1; 2; : : : ; ng (a standard piece of notation in combinatorics) and let Bn be the power set of [n]. We can partially order Bn by writing S ≤ T if S ⊆ T . -
Lecture Notes: Combinatorics, Aalto, Fall 2014 Instructor
Lecture notes: Combinatorics, Aalto, Fall 2014 Instructor: Alexander Engstr¨om TA & scribe: Oscar Kivinen Contents Preface ix Chapter 1. Posets 1 Chapter 2. Extremal combinatorics 11 Chapter 3. Chromatic polynomials 17 Chapter 4. Acyclic matchings on posets 23 Chapter 5. Complete (perhaps not acyclic) matchings 29 Bibliography 33 vii Preface These notes are from a course in Combinatorics at Aalto University taught during the first quarter of the school year 14-15. The intended structure is five separate chapters on topics that are fairly independent. The choice of topics could have been done in many other ways, and we don't claim the included ones to be in any way more important than others. There is another course on combinatorics at Aalto, towards computer science. Hence, we have selected topics that go more towards pure mathematics, to reduce the overlap. A particular feature about all of the topics is that there are active and interesting research going on in them, and some of the theorems we present are not usually mentioned at the undergraduate level. We should end with a warning: These are lecture notes. There are surely many errors and lack of references, but we have tried to eliminate these. Please ask if there is any incoherence, and feel free to point out outright errors. References to better and more comprehensive texts are given in the course of the text. ix CHAPTER 1 Posets Definition 1.1. A poset (or partially ordered set) is a set P with a binary relation ≤⊆ P × P that is (i) reflexive: p ≤ p for all p 2 P ; (ii) antisymmetric: if p ≤ q and q ≤ p, then p = q; (iii) transitive: if p ≤ q and q ≤ r, then p ≤ r Definition 1.2. -
Lattice Thesis
Efficient Representation and Encoding of Distributive Lattices by Corwin Sinnamon A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Mathematics in Computer Science Waterloo, Ontario, Canada, 2018 c Corwin Sinnamon 2018 This thesis consists of material all of which I authored or co-authored: see Statement of Contributions included in the thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Statement of Contributions This thesis is based on joint work ([18]) with Ian Munro which appeared in the proceedings of the ACM-SIAM Symposium of Discrete Algorithms (SODA) 2018. I contributed many of the important ideas in this work and wrote the majority of the paper. iii Abstract This thesis presents two new representations of distributive lattices with an eye towards efficiency in both time and space. Distributive lattices are a well-known class of partially- ordered sets having two natural operations called meet and join. Improving on all previous results, we develop an efficient data structure for distributive lattices that supports meet and join operations in O(log n) time, where n is the size of the lattice. The structure occupies O(n log n) bits of space, which is as compact as any known data structure and within a logarithmic factor of the information-theoretic lower bound by enumeration. The second representation is a bitstring encoding of a distributive lattice that uses approximately 1:26n bits. -
Math 7409 Lecture Notes 10 Posets and Lattices a Partial Order on a Set
Math 7409 Lecture Notes 10 Posets and Lattices A partial order on a set X is a relation on X which is reflexive, antisymmetric and transitive. A set with a partial order is called a poset. If in a poset x < y and there is no z so that x < z < y, then we say that y covers x (or sometimes that x is an immediate predecessor of y). Hasse diagrams of posets are graphs of the covering relation with all arrows pointed down. A total order (or linear order) is a partial order in which every two elements are comparable. This is equivalent to satisfying the law of trichotomy. A maximal element of a poset is an element x such that if x ≤ y then y = x. Note that there may be more than one maximal element. Lemma: Any (non-empty) finite poset contains a maximal element. In a poset, z is a lower bound of x and y if z ≤ x and z ≤ y. A greatest lower bound (glb) of x and y is a maximal element of the set of lower bounds. By the lemma, if two elements of finite poset have a lower bound then they have a greatest lower bound, but it may not be unique. Upper bounds and least upper bounds are defined similarly. [Note that there are alternate definitions of glb, and in some versions a glb is unique.] A (finite) lattice is a poset in which each pair of elements has a unique greatest lower bound and a unique least upper bound. -
Doubling Tolerances and Coalition Lattices
DOUBLING TOLERANCES AND COALITION LATTICES GABOR´ CZEDLI´ Dedicated to the memory of Ivo G. Rosenberg Abstract. If every block of a (compatible) tolerance (relation) T on a mod- ular lattice L of finite length consists of at most two elements, then we call T a doubling tolerance on L. We prove that, in this case, L and T determine a modular lattice of size 2jLj. This construction preserves distributivity and modularity. In order to give an application of the new construct, let P be a partially ordered set (poset). Following a 1995 paper by G. Poll´akand the present author, the subsets of P are called the coalitions of P . For coalitions X and Y of P , let X ≤ Y mean that there exists an injective map f from X to Y such that x ≤ f(x) for every x 2 X. If P is a finite chain, then its coalitions form a distributive lattice by the 1995 paper; we give a new proof of the distributivity of this lattice by means of doubling tolerances. 1. Introduction There are two words in the title that are in connection with Ivo G. Rosenberg; these words are \tolerance" and \lattice", both occurring also in the title of our joint lattice theoretical paper [6] (coauthored also by I. Chajda). This fact encouraged me to submit the present paper to a special volume dedicated to Ivo's memory even if this volume does not focus on lattice theory. The paper is structured as follows. In Section 2, after few historical comments on lattice tolerances, we introduce the concept of doubling tolerances (on lattices) as those tolerances whose blocks are at most two-element. -
On Layered Drawings of Planar Graphs
On Layered Drawings of Planar Graphs Bachelor Thesis of Sarah Lutteropp At the Department of Informatics Institute of Theoretical Computer Science Reviewers: Prof. Dr. Maria Axenovich Prof. Dr. Dorothea Wagner Advisors: Dipl.-Inform. Thomas Bläsius Dr. Tamara Mchedlidze Dr. Torsten Ueckerdt Time Period: 28th January 2014 – 28th May 2014 KIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association www.kit.edu Acknowledgements I would like to thank my advisors Thomas Bläsius, Dr. Tamara Mchedlidze and Dr. Torsten Ueckerdt for their great support in form of many hours of discussion, useful ideas and extensive commenting on iterative versions. It was not trivial to find a topic and place for a combined mathematics and computer science thesis and I am grateful to Prof. Dr. Dorothea Wagner, who allowed me to write my thesis at her institute. I would also like to thank Prof. Dr. Dorothea Wagner and Prof. Dr. Maria Axenovich for grading my thesis. Last but not least, I would like to thank all my proofreaders (supervisors included) for giving last-minute comments on my thesis. Statement of Authorship I hereby declare that this document has been composed by myself and describes my own work, unless otherwise acknowledged in the text. Karlsruhe, 28th May 2014 iii Abstract A graph is k-level planar if it admits a planar drawing in which each vertex is mapped to one of k horizontal parallel lines and the edges are drawn as non-crossing y-monotone line segments between these lines. It is not known whether the decision problem of a graph being k-level planar is solvable in polynomial time complexity (in P) or not.