Permutation Patterns 2021 Virtual Workshop, Hosted by the Combinatorics Group at the University of Strathclyde
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Supplement on the Symmetric Group
SUPPLEMENT ON THE SYMMETRIC GROUP RUSS WOODROOFE I presented a couple of aspects of the theory of the symmetric group Sn differently than what is in Herstein. These notes will sketch this material. You will still want to read your notes and Herstein Chapter 2.10. 1. Conjugacy 1.1. The big idea. We recall from Linear Algebra that conjugacy in the matrix GLn(R) corresponds to changing basis in the underlying vector space n n R . Since GLn(R) is exactly the automorphism group of R (check the n definitions!), it’s equivalent to say that conjugation in Aut R corresponds n to change of basis in R . Similarly, Sn is Sym[n], the symmetries of the set [n] = {1, . , n}. We could think of an element of Sym[n] as being a “set automorphism” – this just says that sets have no interesting structure, unlike vector spaces with their abelian group structure. You might expect conjugation in Sn to correspond to some sort of change in basis of [n]. 1.2. Mathematical details. Lemma 1. Let g = (α1, . , αk) be a k-cycle in Sn, and h ∈ Sn be any element. Then h g = (α1 · h, α2 · h, . αk · h). h Proof. We show that g has the same action as (α1 · h, α2 · h, . αk · h), and since Sn acts faithfully (with trivial kernel) on [n], the lemma follows. h −1 First: (αi · h) · g = (αi · h) · h gh = αi · gh. If 1 ≤ i < m, then αi · gh = αi+1 · h as desired; otherwise αm · h = α1 · h also as desired. -
A Complexity Dichotomy for Permutation Pattern
A Complexity Dichotomy for Permutation Pattern Matching on Grid Classes Vít Jelínek Computer Science Institute, Charles University, Prague, Czechia [email protected]ff.cuni.cz Michal Opler Computer Science Institute, Charles University, Prague, Czechia [email protected]ff.cuni.cz Jakub Pekárek Department of Applied Mathematics, Charles University, Prague, Czechia [email protected]ff.cuni.cz Abstract Permutation Pattern Matching (PPM) is the problem of deciding for a given pair of permuta- tions π and τ whether the pattern π is contained in the text τ. Bose, Buss and Lubiw showed that PPM is NP-complete. In view of this result, it is natural to ask how the situation changes when we restrict the pattern π to a fixed permutation class C; this is known as the C-Pattern PPM problem. There have been several results in this direction, namely the work of Jelínek and Kynčl who completely resolved the hardness of C-Pattern PPM when C is taken to be the class of σ-avoiding permutations for some σ. Grid classes are special kind of permutation classes, consisting of permutations admitting a grid-like decomposition into simpler building blocks. Of particular interest are the so-called monotone grid classes, in which each building block is a monotone sequence. Recently, it has been discovered that grid classes, especially the monotone ones, play a fundamental role in the understanding of the structure of general permutation classes. This motivates us to study the hardness of C-Pattern PPM for a (monotone) grid class C. We provide a complexity dichotomy for C-Pattern PPM when C is taken to be a monotone grid class. -
Combinatorial Group Theory
Combinatorial Group Theory Charles F. Miller III 7 March, 2004 Abstract An early version of these notes was prepared for use by the participants in the Workshop on Algebra, Geometry and Topology held at the Australian National University, 22 January to 9 February, 1996. They have subsequently been updated and expanded many times for use by students in the subject 620-421 Combinatorial Group Theory at the University of Melbourne. Copyright 1996-2004 by C. F. Miller III. Contents 1 Preliminaries 3 1.1 About groups . 3 1.2 About fundamental groups and covering spaces . 5 2 Free groups and presentations 11 2.1 Free groups . 12 2.2 Presentations by generators and relations . 16 2.3 Dehn’s fundamental problems . 19 2.4 Homomorphisms . 20 2.5 Presentations and fundamental groups . 22 2.6 Tietze transformations . 24 2.7 Extraction principles . 27 3 Construction of new groups 30 3.1 Direct products . 30 3.2 Free products . 32 3.3 Free products with amalgamation . 36 3.4 HNN extensions . 43 3.5 HNN related to amalgams . 48 3.6 Semi-direct products and wreath products . 50 4 Properties, embeddings and examples 53 4.1 Countable groups embed in 2-generator groups . 53 4.2 Non-finite presentability of subgroups . 56 4.3 Hopfian and residually finite groups . 58 4.4 Local and poly properties . 61 4.5 Finitely presented coherent by cyclic groups . 63 1 5 Subgroup Theory 68 5.1 Subgroups of Free Groups . 68 5.1.1 The general case . 68 5.1.2 Finitely generated subgroups of free groups . -
On the Geometry of Decomposition of the Cyclic Permutation Into the Product of a Given Number of Permutations
On the geometry of decomposition of the cyclic permutation into the product of a given number of permutations Boris Bychkov (HSE) Embedded graphs October 30 2014 B. Bychkov On the geometry of decomposition of the cyclic permutation into the product of a given number of permutations BMSH formula Let σ0 be a fixed permutation from Sn and take a tuple of c permutations (we don’t fix their lengths and quantities of cycles!) from Sn such that σ1 · ::: · σc = σ0 with some conditions: the group generated by this tuple of c permutations acts transitively on the set f1;:::; ng c P c · n = n + l(σi ) − 2 (genus 0 coverings) i=0 B. Bychkov On the geometry of decomposition of the cyclic permutation into the product of a given number of permutations BMSH formula Then there are formula for the number bσ0 (c) of such tuples of c permutations by M. Bousquet-M´elou and J. Schaeffer Theorem (Bousquet-M´elou, Schaeffer, 2000) Let σ0 2 Sn be a permutation having di cycles of length i (i = 1; 2; 3;::: ) and let l(σ0) be the total number of cycles in σ0, then d (c · n − n − 1)! Y c · i − 1 i bσ0 (c) = c i · (c · n − n − l(σ0) + 2)! i i≥1 Let n = 3; σ0 = (1; 2; 3); c = 2, then (2 · 3 − 3 − 1)! 2 · 3 − 1 b (2) = 2 3 = 5 (1;2;3) (2 · 3 − 3 − 1 + 2)! 3 id(123) (123)id (132)(132) (12)(23) (13)(12) (23)(13) Here are 6 factorizations, but one of them has genus 1! B. -
Cyclic Rewriting and Conjugacy Problems
Cyclic rewriting and conjugacy problems Volker Diekert and Andrew J. Duncan and Alexei Myasnikov June 6, 2018 Abstract Cyclic words are equivalence classes of cyclic permutations of ordi- nary words. When a group is given by a rewriting relation, a rewrit- ing system on cyclic words is induced, which is used to construct algorithms to find minimal length elements of conjugacy classes in the group. These techniques are applied to the universal groups of Stallings pregroups and in particular to free products with amalga- mation, HNN-extensions and virtually free groups, to yield simple and intuitive algorithms and proofs of conjugacy criteria. Contents 1 Introduction 2 2 Preliminaries 4 2.1 Transposition, conjugacy and involution . 4 2.2 Rewritingsystems .......................... 5 2.3 Thuesystems ............................. 6 2.4 Cyclic words and cyclic rewriting . 7 2.5 From confluence to cyclic confluence . 9 2.6 Fromstrongtocyclicconfluenceingroups. 12 arXiv:1206.4431v2 [math.GR] 25 Jul 2012 2.7 A Knuth-Bendix-like procedure on cyclic words . 15 2.8 Strongly confluent Thue systems . 17 2.9 Cyclic geodesically perfect systems . 18 3 Stallings’ pregroups and their universal groups 20 3.1 Amalgamated products and HNN-extensions . 23 3.2 Fundamentalgroupsofgraphofgroups . 24 4 Conjugacy in universal groups 24 1 5 The conjugacy problem in amalgamated products and HNN- extensions 31 5.1 Conjugacyinamalgamatedproducts . 31 5.2 ConjugacyinHNN-extensions . 32 6 The conjugacy problem in virtually free groups 34 1 Introduction Rewriting systems are used in the theory of groups and monoids to specify presentations together with conditions under which certain algorithmic prob- lems may be solved. -
Extended Abstract for Enumerating Pattern Avoidance for Affine
Extended Abstract for Enumerating Pattern Avoidance for Affine Permutations Andrew Crites To cite this version: Andrew Crites. Extended Abstract for Enumerating Pattern Avoidance for Affine Permutations. 22nd International Conference on Formal Power Series and Algebraic Combinatorics (FPSAC 2010), 2010, San Francisco, United States. pp.661-668. hal-01186247 HAL Id: hal-01186247 https://hal.inria.fr/hal-01186247 Submitted on 24 Aug 2015 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. FPSAC 2010, San Francisco, USA DMTCS proc. AN, 2010, 661–668 Extended Abstract for Enumerating Pattern Avoidance for Affine Permutations Andrew Critesy Department of Mathematics, University of Washington, Box 354350, Seattle, Washington, 98195-4350 Abstract. In this paper we study pattern avoidance for affine permutations. In particular, we show that for a given pattern p, there are only finitely many affine permutations in Sen that avoid p if and only if p avoids the pattern 321. We then count the number of affine permutations that avoid a given pattern p for each p in S3, as well as give some conjectures for the patterns in S4. This paper is just an outline; the full version will appear elsewhere. -
Arxiv:1907.09451V2 [Math.CO] 30 May 2020 Tation Is Called Cyclic If It Has Exactly One Cycle in Its Disjoint Cycle Decomposition
PATTERN-AVOIDING PERMUTATION POWERS AMANDA BURCROFF AND COLIN DEFANT Abstract. Recently, B´onaand Smith defined strong pattern avoidance, saying that a permuta- tion π strongly avoids a pattern τ if π and π2 both avoid τ. They conjectured that for every positive integer k, there is a permutation in Sk3 that strongly avoids 123 ··· (k + 1). We use the Robinson{Schensted{Knuth correspondence to settle this conjecture, showing that the number of 3 3 3 3 such permutations is at least kk =2+O(k = log k) and at most k2k +O(k = log k). We enumerate 231- avoiding permutations of order 3, and we give two further enumerative results concerning strong pattern avoidance. We also consider permutations whose powers all avoid a pattern τ. Finally, we study subgroups of symmetric groups whose elements all avoid certain patterns. This leads to several new open problems connecting the group structures of symmetric groups with pattern avoidance. 1. Introduction Consider Sn, the symmetric group on n letters. This is the set of all permutations of the set [n] = f1; : : : ; ng, which we can view as bijections from [n] to [n]. Many interesting questions arise when we view permutations as group elements. For example, we can ask about their cycle types, their orders, and their various powers. It is also common to view permutations as words by associating the bijection π :[n] ! [n] with the word π(1) ··· π(n). We use this association to consider permutations as bijections and words interchangeably. This point of view allows us to consider the notion of a permutation pattern, which has spawned an enormous amount of research since its inception in the 1960's [6,12,15]. -
Products of Involutions CORE Metadata, Citation and Similar
CORE Metadata, citation and similar papers at core.ac.uk Provided by Elsevier - Publisher Connector Products of Involutions Dedicated to Olga Taussky Todd W. H. Gustafson, P. R. Halmos*, Indiana University, Bloomington, Indiana and H. Radjavi’ Dalhousie University, Halifax, Nova Scotia Submitted by Hans Schneider ABSTRACT Every square matrix over a field, with determinant 2 1, is the product of not more than four involutions. THEOREM. Every square matrix over a field, with determinant 2 1, is the product of not more than four involutions. DISCUSSION An involution is a matrix (or, more generally, in any group, an element) whose square is the identity. Halmos and Kakutani proved that in the group of all unitary operators on an infinite-dimensional complex Hilbert space every element is the product of four involutions 131. Radjavi obtained the same conclusion for the group of all unitary operators with determinant + 1 on any finite-dimensional complex Hilbert space [5]. Sampson proved that every square matrix over the field of real numbers, with determinant + 1, is the product of a finite number of involutions [6], and Waterhouse asserted *Research supported in part by a grant from the National Science Foundation. ‘Research supported in part by a grant from the National Research Council of Canada, LINEAR ALGEBRA AND ITS APPLICATIONS 13, 157-162 (1976) 157 0 American Elsevier Publishing Company, Inc., 1976 158 W. H. GUSTAFSON ET AL. the same conclusion over any division ring [7]. The theorem as stated above is the best possible one along these lines, in the sense that “four” cannot be changed to “three”; this has been known for a long time [3]. -
Variations of Stack Sorting and Pattern Avoidance
VARIATIONS OF STACK SORTING AND PATTERN AVOIDANCE by Yoong Kuan Goh (Andrew) University of Technology Sydney, Australia Thesis Doctor of Philosophy Degree (Mathematics) School of Mathematical and Physical Sciences Faculty of Science University of Technology Sydney February 2020 CERTIFICATE OF ORIGINAL AUTHORSHIP I, Yoong Kuan Goh (Andrew) declare that this thesis, is submitted in fulfilment of the requirements for the award of Doctor of Philosophy Degree (Mathematics), in the School of Mathematical and Physical Science (Faculty of Science) at the University of Technology Sydney. This thesis is wholly my own work unless otherwise reference or acknowledged. In addition, I certify that all information sources and literature used are indicated in the thesis. This document has not been submitted for qualifications at any other academic in- stitution. This research is supported by the Australian Government Research Training Program. Production Note: Signature: Signature removed prior to publication. Date: 10 February 2020 i ACKNOWLEDGMENTS I would like to express my deepest gratitude to Professor Murray Elder for his invaluable assistance and insight leading to the writing of this dissertation. Moreover, I would like to thank everyone especially Alex Bishop and Michael Coons for their advice and feedback. Lastly, special thanks to my family and friends for their support. ii TABLE OF CONTENTS List of Tables . v List of Figures . vi Abstract . 1 1 Introduction . 3 1.1 Permutation patterns . 3 1.1.1 Characterisation problems . 5 1.1.2 Enumeration problems . 7 1.1.3 Decision problems . 7 1.2 Stack sorting . 8 1.2.1 Variations of sorting machines . 8 1.2.2 Problems and motivations . -
Universal Cycles for Permutations
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 309 (2009) 5264–5270 www.elsevier.com/locate/disc Universal cycles for permutations J. Robert Johnson School of Mathematical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK Received 24 March 2006; received in revised form 17 July 2007; accepted 2 November 2007 Available online 20 February 2008 Abstract A universal cycle for permutations is a word of length nW such that each of the nW possible relative orders of n distinct integers occurs as a cyclic interval of the word. We show how to construct such a universal cycle in which only n C 1 distinct integers are used. This is best possible and proves a conjecture of Chung, Diaconis and Graham. c 2007 Elsevier B.V. All rights reserved. Keywords: Universal cycles; Combinatorial generation; Permutations 1. Introduction n A de Bruijn cycle of order n is a word in f0; 1g2 in which each n-tuple in f0; 1gn appears exactly once as a cyclic interval (see [2]). The idea of a universal cycle generalizes the notion of a de Bruijn cycle. Suppose that F is a family of combinatorial objects with jFj D N, each of which is represented (not necessarily in a unique way) by an n-tuple over some alphabet A.A universal cycle (or ucycle) for F is a word u1u2 ::: u N with each F 2 F represented by exactly one uiC1uiC2 ::: uiCn where, here and throughout, index addition is interpreted modulo N. -
Cyclic Shuffle Compatibility
Cyclic shuffle compatibility Rachel Domagalski Department of Mathematics, Michigan State University, East Lansing, MI 48824-1027, USA, [email protected] Jinting Liang Department of Mathematics, Michigan State University, East Lansing, MI 48824-1027, USA, [email protected] Quinn Minnich Department of Mathematics, Michigan State University, East Lansing, MI 48824-1027, USA, [email protected] Bruce E. Sagan Department of Mathematics, Michigan State University, East Lansing, MI 48824-1027, USA, [email protected] Jamie Schmidt Department of Mathematics, Michigan State University, East Lansing, MI 48824-1027, USA, [email protected] Alexander Sietsema Department of Mathematics, Michigan State University, East Lansing, MI 48824-1027, USA, [email protected] September 15, 2021 Key Words: cyclic permutation, descent, peak, shuffle compatible AMS subject classification (2010): 05A05 (Primary), 05A19 (Secondary) Abstract arXiv:2106.10182v2 [math.CO] 14 Sep 2021 Consider a permutation π to be any finite list of distinct positive integers. A statistic is a function St whose domain is all permutations. Let π ¡ σ be the set of shuffles of two disjoint permutations π and σ. We say that St is shuffle compatible if the distribution of St over π ¡ σ depends only on St(π), St(σ), and the lengths of π and σ. This notion is implicit in Stanley’s work on P -partitions and was first explicitly studied by Gessel and Zhuang. One of the places where shuffles are useful is in describing the product in the algebra of quasisymmetric functions. Recently Adin, Gessel, Reiner, and Roichman defined an algebra of cyclic quasisymmetric functions where a cyclic version of shuffling comes into play. -
The Computational Landscape of Permutation Patterns∗
The computational landscape of permutation patterns∗ Marie-Louise Bruner and Martin Lackner [email protected] [email protected] Vienna University of Technology Abstract In the last years, different types of patterns in permutations have been studied: vincular, bivincular and mesh patterns, just to name a few. Every type of permutation pattern naturally defines a correspond- ing computational problem: Given a pattern P and a permutation T (the text), is P contained in T ? In this paper we draw a map of the computational landscape of permutation pattern matching with dif- ferent types of patterns. We provide a classical complexity analysis and investigate the impact of the pattern length on the computational hardness. Furthermore, we highlight several directions in which the study of computational aspects of permutation patterns could evolve. Mathematics subject classification: 05A05, 68Q17, 68Q25. 1 Introduction The systematic study of permutation patterns was started by Simion and Schmidt [29] in the 1980s and has since then become a bustling field of research in combinatorics. The core concept is the following: A permu- tation P is contained in a permutation T as a pattern if there is an order- preserving embedding of P into T . For example, the pattern 132 is contained in 2143 since the subsequence 243 is order-isomorphic to 132. In recent years other types of permutation patterns have received increased interest, such as vincular [5], bivincular [8], mesh [9], boxed mesh [4] and consecutive patterns [13] (all of which are introduced in Section 3). Every type of permutation pattern naturally defines a corresponding computational problem.