Chain Lengths in the Dominance Lattice June 8, 2013 1 Introduction

Total Page:16

File Type:pdf, Size:1020Kb

Chain Lengths in the Dominance Lattice June 8, 2013 1 Introduction Chain Lengths in the Dominance Lattice June 8, 2013 Edward Early St. Edward’s University Austin, TX [email protected] Abstract We construct the largest union of two or three chains in the lattice of partitions of n under the dominance order. This construction provides a framework for finding the largest union of four or more chains. We also see how these chain lengths relate to a theorem of Gansner and Saks and the problem of finding the largest antichain. 1 Introduction Let Pn denote the poset of partitions of the positive integer n, ordered by dominance (or majorization). That is, µ ν if µ1 + µ2 + + µk ν1 + ν2 + + νk for all k, where parts are indexed in nonincreasing≤ order and trailing··· zeros≤ are added··· as needed. This poset is a lattice and is self-dual under conjugation of partitions, where conjugation is accomplished by transposition of the Young diagram. The poset Pn is not graded (ranked) for n 7, since there exist maximal chains from (n) to (1n) of all lengths from 2n 3 to cn3/2 [2,≥ 9]. − Given any poset P , there exists a partition λ(P ) such that the sum of the first k parts of λ is the maximum number of elements in a union of k chains in P . In fact, the conjugate of λ has the same property for antichains [1, 5, 7, 8]. Let λk(P ) denote the kth part of this partition. m+1 The length h(Pn) of the longest chain in Pn has been known for some time. If n = 2 + r, 3 3 m m m m 0 r m, then h(Pn) = 3− + rm [9]. In other words, λ1(Pn) = 3− + rm +1. Our main≤ results≤ are the following theorems. Theorem 1. For n> 16, λ (P )= λ (P ) 6. 2 n 1 n − Theorem 2. For n> 22, λ (P )= λ (P ) 6. 3 n 2 n − We can define a rank function r on a graded poset such that if x y, then r(y) r(x) is the length of a maximal chain from x to y. The Hasse diagram of≤ a ranked poset− can have all of the elements of the same rank on a horizontal line, giving every element a well-defined level. An unranked poset can also have this property, as illustrated in Figure 1. In such a poset, we can draw a Hasse diagram where every element (except those on the top and bottom levels) covers something on the level below and is covered by something on the 1 Figure 1: An unranked but leveled poset. level above, thus giving each element a well-defined level on which to be drawn. Call such a poset leveled. Every element of a leveled poset P is in one of the longest chains of P . Consider the subposet Qn of Pn consisting of the partitions that appear in chains of length h(Pn). Conjugation of partitions shows that Qn is self-dual, since conjugation takes a de- creasing chain to an increasing chain of the same length. Whether Qn is a graded lattice remains an open question, but for our purposes it will suffice to use a weaker statement: for µ Qn, define r(µ) to be the length of the longest chain from (n) down to µ; for µ (1∈n), (n) , µ is covered by an element ν such that r(ν) = r(µ) 1 and covers an ele- 6∈ { } − ment ρ such that r(ρ)= r(µ) + 1. In other words, Qn is leveled. Note that the top element is level 0, and the levels increase as we move down. Given any poset, the subposet of elements that appear in chains of maximum length will be leveled, and this is a maximal leveled subposet. It is maximal in the sense that it has the largest possible number of levels and the addition of any other elements would make it no longer leveled. This observation turns out to be useful for computing Greene-Kleitman partitions of certain posets [3, 4]. By temporarily discarding all elements that are not on longest chains, we can focus on the elements that really matter for our computations. We will know that the chains we find really are the longest possible, despite the lack of a true rank function, by showing that there is an antichain decomposition that puts the discarded elements onto levels already used in the chains. A nonconstructive proof of Theorem 1 was given in [3] using an elegant lemma. Lemma 1. If a leveled poset has at least two elements on every level, then it has two disjoint chains of maximum length. The analogous lemma for three chains is less elegant to state, does not apply to all leveled posets, is tedious to prove, and does not generalize in any usable way to four or more chains. Moreover, the version of Theorem 2 stated in [3] is only for n> 135, so the proof given here makes a significant improvement on the lower bound, to the point that we can now compute λ3(Pn) for all n. The proofs of Theorems 1 and 2 we will give are constructive. While some casework is required to obtain the smallest n, we will see that an underlying pattern can be exhibited for large values of n without the cases, allowing some progress toward generalizing to unions of more than three chains. The covering pairs in Pn come in two types. We say µ covers ν by an H-step if there exists i such that ν = µ 1, ν = µ + 1, and ν = µ for k / i, i +1 . In terms of Young i i − i+1 i+1 k k ∈ { } diagrams, this corresponds to moving a box one row down (and some distance to the left). 2 The other type is a V-step, which is an H-step on the conjugate, and corresponds to moving a box one column to the left (and some distance down). Chains from (n) to (1n) consisting of H-steps followed by V-steps are maximal [9]. Not all maximal chains are of this form, however, so when we intersperse H and V steps it will be necessary to keep track of levels carefully. 2 Proof of Theorem 1 We will prove Theorem 1 by showing that there exist disjoint chains in Qn of lengths h(Pn) and h(P ) 6. Since Q is a subposet of P , these are also chains in P . For n 5, the top n − n n n ≥ three levels of Pn (and Qn) consist only of (n), (n 1, 1), and (n 2, 2); the bottom three n n 2 n 4 − − levels will be (1 ), (2, 1 − ), and (2, 2, 1 − ). Since these six elements of Pn are in maximal antichains of size 1 (that is, each of those six partitions is comparable to any other partition in Pn, so they cannot appear in antichains of 2 elements), the two chains will have the largest possible union, thus giving λ2(Pn). n 6 To that end, we seek disjoint chains in Qn from (n 2, 1, 1) and (n 3, 3) to (2, 2, 2, 1 − ) n 3 − − and (3, 1 − ). Let Qn∗ denote Qn without the top three and bottom three elements, so our goal is to construct disjoint maximal chains in Qn∗ . Since Qn∗ is self-dual, we will construct chains to the halfway point that end with a self-conjugate partition or a partition that covers its conjugate when the number of elements in each chain is odd or even, respectively. The rest of the chain is then the conjugate of the chain already constructed. m3 m m3 m Since λ1(Pn)= 3− + rm + 1, and 3− is even, and λ2(Pn) has the same parity as λ1(Pn) (since they differ by 6 in the cases we are considering), the number of levels in Qn∗ will be even only when m and r are both odd. If m or r is even, then any self-conjugate partitions in Qn∗ will be on its middle level (note that there can be non-self-conjugate partitions on the middle level whose conjugates are also on that level). As a first approximation of the desired chains, take the following construction. Chain L starts at (n 2, 1, 1). At every step, we take the bottommost (in the Young diagram) possible H-step.− That is, keep the large parts intact as long as possible, so the next few partitions are (n 3, 2, 1), (n 4, 3, 1), (n 4, 2, 2), and (n 4, 2, 1, 1). − − − − Chain R starts at (n 3, 3). At every step, we take the topmost possible H-step. That is, keep the number of− parts as small as possible, so the next few partitions are (n 4, 4), − (n 5, 5), (n 6, 6), and (n 7, 7). − − − Both chains will reach (m, m 1,...,r +1, r, r, r 1,..., 2, 1), which is at least the halfway − − point, so only minor modifications will be needed to turn these into the desired chains. The following lemmas will help us ensure that our chains are disjoint. Lemma 2. If µ = (µ1,µ2,...,µk) R, then µi µi+1 2 for 1 i k 2. In other words, only the last difference can be∈ greater than 2.− Moreove≤ r, excluding≤ ≤ the last− difference, 3 µ cannot have more than one difference equal to 2. Proof. By construction, we are always using the topmost possible H-step.
Recommended publications
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Newton Polytopes in Algebraic Combinatorics
    Newton Polytopes in Algebraic Combinatorics Neriman Tokcan University of Michigan, Ann Arbor April 6, 2018 Neriman Tokcan Newton Polytopes in Algebraic Combinatorics Outline Newton Polytopes Geometric Operations on Polytopes Saturated Newton Polytope (SNP) The ring of symmetric polynomials SNP of symmetric functions Partitions - Dominance Order Newton polytope of monomial symmetric function SNP and Schur Positivity Some other symmetric polynomials Additional results Neriman Tokcan Newton Polytopes in Algebraic Combinatorics Newton Polytopes d A polytope is a subset of R ; d ≥ 1 that is a convex hull of finite d set of points in R : Convex polytopes are very useful for analyzing and solving polynomial equations. The interplay between polytopes and polynomials can be traced back to the work of Isaac Newton on plane curve singularities. P α The Newton polytope of a polynomial f = n c x α2Z ≥0 α 2 C[x1; :::; xn] is the convex hull of its exponent vectors, i.e., n Newton(f ) = conv(fα : cα 6= 0g) ⊆ R : Neriman Tokcan Newton Polytopes in Algebraic Combinatorics Geometric operations on Polytopes d Let P and Q be two polytopes in R , then their Minkowski sum is given as P + Q = fp + q : p 2 P; q 2 Qg: The geometric operation of taking Minkowski sum of polytopes mirrors the algebraic operation of multiplying polynomials. Properties: Pn Pn n conv( i=1 Si ) = i=1 conv(Si ); for Si ⊆ R : Newton(fg) = Newton(f ) + Newton(g); for f ; g 2 C[x1; :::; xn]: Newton(f + g) = conv(Newton(f ) [ Newton(g)): Neriman Tokcan Newton Polytopes in Algebraic Combinatorics Saturated Newton Polytope{SNP A polynomial has saturated Newton polytope (SNP) if every lattice point of the convex hull of its exponent vectors corresponds to a monomial.
    [Show full text]
  • 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.
    [Show full text]
  • Operations on Partially Ordered Sets and Rational Identities of Type a Adrien Boussicault
    Operations on partially ordered sets and rational identities of type A Adrien Boussicault To cite this version: Adrien Boussicault. Operations on partially ordered sets and rational identities of type A. Discrete Mathematics and Theoretical Computer Science, DMTCS, 2013, Vol. 15 no. 2 (2), pp.13–32. hal- 00980747 HAL Id: hal-00980747 https://hal.inria.fr/hal-00980747 Submitted on 18 Apr 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 DMTCS vol. 15:2, 2013, 13–32 Operations on partially ordered sets and rational identities of type A Adrien Boussicault Institut Gaspard Monge, Universite´ Paris-Est, Marne-la-Valle,´ France received 13th February 2009, revised 1st April 2013, accepted 2nd April 2013. − −1 We consider the family of rational functions ψw = Q(xwi xwi+1 ) indexed by words with no repetition. We study the combinatorics of the sums ΨP of the functions ψw when w describes the linear extensions of a given poset P . In particular, we point out the connexions between some transformations on posets and elementary operations on the fraction ΨP . We prove that the denominator of ΨP has a closed expression in terms of the Hasse diagram of P , and we compute its numerator in some special cases.
    [Show full text]
  • 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.
    [Show full text]
  • 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 .
    [Show full text]
  • 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.
    [Show full text]
  • Arxiv:1407.5311V2 [Math.CO] 29 Apr 2017 SB-Labeling
    SB-LABELINGS AND POSETS WITH EACH INTERVAL HOMOTOPY EQUIVALENT TO A SPHERE OR A BALL PATRICIA HERSH AND KAROLA MESZ´ AROS´ Abstract. We introduce a new class of edge labelings for locally finite lattices which we call SB-labelings. We prove for finite lattices which admit an SB-labeling that each open interval has the homotopy type of a ball or of a sphere of some dimension. Natural examples include the weak order, the Tamari lattice, and the finite distributive lattices. Keywords: poset topology, M¨obiusfunction, crosscut complex, Tamari lattice, weak order 1. Introduction Anders Bj¨ornerand Curtis Greene have raised the following question (personal communi- cation of Bj¨orner;see also [15] by Greene). Question 1.1. Why are there so many posets with the property that every interval has M¨obiusfunction equaling 0; 1 or −1? Is there a unifying explanation? This paper introduces a new type of edge labeling that a finite lattice may have which we dub an SB-labeling. We prove for finite lattices admitting such a labeling that each open interval has order complex that is contractible or is homotopy equivalent to a sphere of some dimension. This immediately yields that the M¨obiusfunction only takes the values 0; ±1 on all intervals of the lattice. The construction and verification of validity of such labelings seems quite readily achievable on a variety of examples of interest. The name SB-labeling was chosen with S and B reflecting the possibility of spheres and balls, respectively. This method will easily yield that each interval in the weak Bruhat order of a finite Coxeter group, in the Tamari lattice, and in any finite distributive lattice is homotopy equivalent to a ball or a sphere of some dimension.
    [Show full text]
  • Introduction to Algebraic Combinatorics: (Incomplete) Notes from a Course Taught by Jennifer Morse
    INTRODUCTION TO ALGEBRAIC COMBINATORICS: (INCOMPLETE) NOTES FROM A COURSE TAUGHT BY JENNIFER MORSE GEORGE H. SEELINGER These are a set of incomplete notes from an introductory class on algebraic combinatorics I took with Dr. Jennifer Morse in Spring 2018. Especially early on in these notes, I have taken the liberty of skipping a lot of details, since I was mainly focused on understanding symmetric functions when writ- ing. Throughout I have assumed basic knowledge of the group theory of the symmetric group, ring theory of polynomial rings, and familiarity with set theoretic constructions, such as posets. A reader with a strong grasp on introductory enumerative combinatorics would probably have few problems skipping ahead to symmetric functions and referring back to the earlier sec- tions as necessary. I want to thank Matthew Lancellotti, Mojdeh Tarighat, and Per Alexan- dersson for helpful discussions, comments, and suggestions about these notes. Also, a special thank you to Jennifer Morse for teaching the class on which these notes are based and for many fruitful and enlightening conversations. In these notes, we use French notation for Ferrers diagrams and Young tableaux, so the Ferrers diagram of (5; 3; 3; 1) is We also frequently use one-line notation for permutations, so the permuta- tion σ = (4; 3; 5; 2; 1) 2 S5 has σ(1) = 4; σ(2) = 3; σ(3) = 5; σ(4) = 2; σ(5) = 1 0. Prelimaries This section is an introduction to some notions on permutations and par- titions. Most of the arguments are given in brief or not at all. A familiar reader can skip this section and refer back to it as necessary.
    [Show full text]
  • Open Problems in Algebraic Combinatorics Blog Submissions
    Open Problems in Algebraic Combinatorics blog submissions Problem title Submitter Date Pages The rank and cranks Dennis Stanton Sept. 2019 2-5 Sorting via chip-firing James Propp Sept. 2019 6-7 On the cohomology of the Grassmannian Victor Reiner Sept. 2019 8-11 The Schur cone and the cone of log concavity Dennis White Sept. 2019 12-13 Matrix counting over finite fields Joel Brewster Lewis Sept. 2019 14-16 Descents and cyclic descents Ron M. Adin and Yuval Roichman Oct. 2019 17-20 Root polytope projections Sam Hopkins Oct. 2019 21-22 The restriction problem Mike Zabrocki Nov. 2019 23-25 A localized version of Greene's theorem Joel Brewster Lewis Nov. 2019 26-28 Descent sets for tensor powers Bruce W. Westbury Dec. 2019 29-30 From Schensted to P´olya Dennis White Dec. 2019 31-33 On the multiplication table of Jack polynomials Per Alexandersson and Valentin F´eray Dec. 2019 34-37 Two q,t-symmetry problems in symmetric function theory Maria Monks Gillespie Jan. 2020 38-41 Coinvariants and harmonics Mike Zabrocki Jan. 2020 42-45 Isomorphisms of zonotopal algebras Gleb Nenashev Mar. 2020 46-49 1 The rank and cranks Submitted by Dennis Stanton The Ramanujan congruences for the integer partition function (see [1]) are Dyson’s rank [6] of an integer partition (so that the rank is the largest part minus the number of parts) proves the Ramanujan congruences by considering the rank modulo 5 and 7. OPAC-001. Find a 5-cycle which provides an explicit bijection for the rank classes modulo 5, and find a 7-cycle for the rank classes modulo 7.
    [Show full text]
  • 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.
    [Show full text]