Math 958–Topics in Discrete Mathematics Spring Semester 2018 TR 09:30–10:45 in Avery Hall (AVH) 351 1 Instructor
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Combinatorial Proof of an Abel-Type Identity∗
Combinatorial Proof of an Abel-type Identity∗ P. Mark Kayll Department of Mathematical Sciences, University of Montana Missoula MT 59812-0864, USA [email protected] David Perkins Department of Mathematics and Computer Science Houghton College, Houghton NY 14744, USA [email protected] Identity (1) below resulted from our investigation in [21] of chip-firing games on complete graphs Kn, for n ≥ 1; see, e.g., [2] for antecedents. The left side expresses the sum of the probabilities of a game experiencing firing sequences of each possible length ℓ = 0, 1,...,n. This note gives a combinatorial proof that these probabilities sum to unity. We first manipulate n n − 1 n ℓℓ−1(n + 1 − ℓ)n−1−ℓ + = 1 (1) n + 1 µℓ¶ n(n + 1)n−1 Xℓ=1 into a form amenable to combinatorial proof. Multiplying by n(n+1)n and n n+1 using the relation ℓ = ℓ (n + 1 − ℓ)/(n + 1), we transform (1) to the equivalent form ¡ ¢ ¡ ¢ n n + 1 ℓℓ−2(n + 1 − ℓ)n−1−ℓℓ(n + 1 − ℓ) = 2n(n + 1)n−1. (2) µ ℓ ¶ Xℓ=1 To see that (2) holds, first observe that the right side enumerates the pairs (T,~e ), where T is a spanning tree of Kn+1 for which one edge e (of 2000 MSC: Primary 05A19; Secondary 05C30, 60C05. ∗Preprint to appear in J. Combin. Math. Combin. Comput. 1 its n edges) has been distinguished and oriented (in one of two possible directions). The left side also enumerates these pairs. Given (T,~e ), notice that deleting the oriented edge ~e from T leaves behind a spanning forest of Kn+1 with two components L, R (that we may consider ordered from left to right). -
Bijective Proofs for Schur Function Identities Which Imply Dodgson's Condensation Formula and Plücker Relations
Bijective proofs for Schur function identities which imply Dodgson’s condensation formula and Pl¨ucker relations Markus Fulmek Institut f¨urMathematik der Universit¨atWien Strudlhofgasse 4, A-1090 Wien, Austria [email protected] Michael Kleber Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA 02139, USA [email protected] Submitted: July 3, 2000; Accepted: March 7, 2001. MR Subject Classifications: 05E05 05E15 Abstract We present a “method” for bijective proofs for determinant identities, which is based on translating determinants to Schur functions by the Jacobi–Trudi identity. We illustrate this “method” by generalizing a bijective construction (which was first used by Goulden) to a class of Schur function identities, from which we shall obtain bijective proofs for Dodgson’s condensation formula, Pl¨ucker relations and a recent identity of the second author. 1 Introduction Usually, bijective proofs of determinant identities involve the following steps (cf., e.g, [19, Chapter 4] or [23, 24]): Expansion of the determinant as sum over the symmetric group, • Interpretation of this sum as the generating function of some set of combinatorial • objects which are equipped with some signed weight, Construction of an explicit weight– and sign–preserving bijection between the re- • spective combinatorial objects, maybe supported by the construction of a sign– reversing involution for certain objects. the electronic journal of combinatorics 8 (2001), #R16 1 Here, we will present another “method” of bijective proofs for determinant identitities, which involves the following steps: First, we replace the entries ai;j of the determinants by hλ i+j (where hm denotes i− • the m–th complete homogeneous function), Second, by the Jacobi–Trudi identity we transform the original determinant identity • into an equivalent identity for Schur functions, Third, we obtain a bijective proof for this equivalent identity by using the interpre- • tation of Schur functions in terms of nonintersecting lattice paths. -
Finding Direct Partition Bijections by Two-Directional Rewriting Techniques
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 285 (2004) 151–166 www.elsevier.com/locate/disc Finding direct partition bijections by two-directional rewriting techniques Max Kanovich Department of Computer and Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA 19104, USA Received 7 May 2003; received in revised form 27 October 2003; accepted 21 January 2004 Abstract One basic activity in combinatorics is to establish combinatorial identities by so-called ‘bijective proofs,’ which consists in constructing explicit bijections between two types of the combinatorial objects under consideration. We show how such bijective proofs can be established in a systematic way from the ‘lattice properties’ of partition ideals, and how the desired bijections are computed by means of multiset rewriting, for a variety of combinatorial problems involving partitions. In particular, we fully characterizes all equinumerous partition ideals with ‘disjointly supported’ complements. This geometrical characterization is proved to automatically provide the desired bijection between partition ideals but in terms of the minimal elements of the order ÿlters, their complements. As a corollary, a new transparent proof, the ‘bijective’ one, is given for all equinumerous classes of the partition ideals of order 1 from the classical book “The Theory of Partitions” by G.Andrews. Establishing the required bijections involves two-directional reductions technique novel in the sense that forward and backward application of rewrite rules heads, respectively, for two di?erent normal forms (representing the two combinatorial types). It is well-known that non-overlapping multiset rules are con@uent. -
Basic Combinatorics
Basic Combinatorics Carl G. Wagner Department of Mathematics The University of Tennessee Knoxville, TN 37996-1300 Contents List of Figures iv List of Tables v 1 The Fibonacci Numbers From a Combinatorial Perspective 1 1.1 A Simple Counting Problem . 1 1.2 A Closed Form Expression for f(n) . 2 1.3 The Method of Generating Functions . 3 1.4 Approximation of f(n) . 4 2 Functions, Sequences, Words, and Distributions 5 2.1 Multisets and sets . 5 2.2 Functions . 6 2.3 Sequences and words . 7 2.4 Distributions . 7 2.5 The cardinality of a set . 8 2.6 The addition and multiplication rules . 9 2.7 Useful counting strategies . 11 2.8 The pigeonhole principle . 13 2.9 Functions with empty domain and/or codomain . 14 3 Subsets with Prescribed Cardinality 17 3.1 The power set of a set . 17 3.2 Binomial coefficients . 17 4 Sequences of Two Sorts of Things with Prescribed Frequency 23 4.1 A special sequence counting problem . 23 4.2 The binomial theorem . 24 4.3 Counting lattice paths in the plane . 26 5 Sequences of Integers with Prescribed Sum 28 5.1 Urn problems with indistinguishable balls . 28 5.2 The family of all compositions of n . 30 5.3 Upper bounds on the terms of sequences with prescribed sum . 31 i CONTENTS 6 Sequences of k Sorts of Things with Prescribed Frequency 33 6.1 Trinomial Coefficients . 33 6.2 The trinomial theorem . 35 6.3 Multinomial coefficients and the multinomial theorem . 37 7 Combinatorics and Probability 39 7.1 The Multinomial Distribution . -
Rational Catalan Combinatorics 1
Rational Catalan Combinatorics Drew Armstrong et al. University of Miami www.math.miami.edu/∼armstrong March 18, 2012 This talk will advertise a definition. Here is it. Definition Let x be a positive rational number written as x = a=(b − a) for 0 < a < b coprime. Then we define the Catalan number 1 a + b (a + b − 1)! Cat(x) := = : a + b a; b a!b! !!! Please note the a; b-symmetry. This talk will advertise a definition. Here is it. Definition Let x be a positive rational number written as x = a=(b − a) for 0 < a < b coprime. Then we define the Catalan number 1 a + b (a + b − 1)! Cat(x) := = : a + b a; b a!b! !!! Please note the a; b-symmetry. This talk will advertise a definition. Here is it. Definition Let x be a positive rational number written as x = a=(b − a) for 0 < a < b coprime. Then we define the Catalan number 1 a + b (a + b − 1)! Cat(x) := = : a + b a; b a!b! !!! Please note the a; b-symmetry. Special cases. When b = 1 mod a ::: I Eug`eneCharles Catalan (1814-1894) (a < b) = (n < n + 1) gives the good old Catalan number n 1 2n + 1 Cat(n) = Cat = : 1 2n + 1 n I Nicolaus Fuss (1755-1826) (a < b) = (n < kn + 1) gives the Fuss-Catalan number n 1 (k + 1)n + 1 Cat = : (kn + 1) − n (k + 1)n + 1 n Special cases. When b = 1 mod a ::: I Eug`eneCharles Catalan (1814-1894) (a < b) = (n < n + 1) gives the good old Catalan number n 1 2n + 1 Cat(n) = Cat = : 1 2n + 1 n I Nicolaus Fuss (1755-1826) (a < b) = (n < kn + 1) gives the Fuss-Catalan number n 1 (k + 1)n + 1 Cat = : (kn + 1) − n (k + 1)n + 1 n Special cases. -
A Combinatorial Proof of the Log- Concavity of the Numbers Of
Journal of Combinatorial Theory, Series A 90, 293303 (2000) doi:10.1006Âjcta.1999.3040, available online at http:ÂÂwww.idealibrary.com on A Combinatorial Proof of the Log-Concavity of the Numbers of Permutations with k Runs MiklosBona1 University of Florida, Gainesville, Florida 32611 E-mail: bonaÄmath.ufl.edu and Richard Ehrenborg2 School of Mathematics, Institute for Advanced Study, Princeton, New Jersey 08540 E-mail: jrgeÄmath.ias.edu Communicated by the Managing Editors Received February 26, 1999 We combinatorially prove that the number R(n, k) of permutations of length n having k runs is a log-concave sequence in k, for all n. We also give a new com- binatorial proof for the log-concavity of the Eulerian numbers. 2000 Academic Press 1. INTRODUCTION Let p= p1 p2 }}}pn be a permutation of the set [1, 2, ..., n] written in the one-line notation. We say that p get changes direction at position i, if either pi&1<pi>pi+ j ,orpi&1>pi>pi+1, in other words, when pi is either a peak or a valley. We say that p has k runs if there are k&1 indices i so that p changes direction at these positions. So, for example, p=3561247 has 3 runs as p changes direction when i=3 and when i=4. A geometric way to represent a permutation and its runs by a diagram is shown in Fig. 1. The runs are the line segments (or edges) between two consecutive entries where p changes direction. So a permutation has k runs if it can be represented by k line segments so that the segments go ``up'' and ``down'' 1 The paper was written while the author's stay at IAS was supported by Trustee Ladislaus von Hoffmann, the Arcana Foundation. -
MAT344 Week 1
MAT344 Week 1 2019/Sep/9 1 Announcements 1. Make sure you have access to quercus and piazza. 2. Enroll in a tutorial. 3. Read the Syllabus and Study tips (also uploaded to https://www.math.toronto.edu/balazse/2019_Fall_ MAT344/). 4. Read Chapter 1 of the textbook [KT17]. It is an easy and fun read, and explores many of the questions that we will study later in the class. 5. Note: for some reason the textbook .pdf and print versions numbers differ slightly from the (more interactive) html version. When using references, we will refer to the .pdf version. 6. Problem set 1 will be sent out on Thursday. 2 This week This week, we are talking about 1. Basic counting techniques, 2. Permutations, 3. Combinations 3 Strings (Chapter 2.1 in [KT17]) Exercise 3.1 ([Bog04], Chapter 1.2 Problem 6). An ice cream parlor offers 12 different flavors of ice cream, and triple decker cones are made in homemade waffle cones. Having chocolate ice cream as the bottom scoop is different from having chocolate ice cream as the top scoop. How many different triple decker cones of ice cream are available? Solution: We have 12 choices for all of the bottom, middle, and top scoops, and if two sequence of choices differ at any point, they result in different triple decker ice cream cones. So we have 12 · 12 · 12 = 1728 different kinds of triple decker cones. The above problem is a typical one that we will encounter in this class. We are asked \How many...", and with some logic we come up with a number. -
Combinatorics Combinatorics I Combinatorics II Product Rule Sum Rule I Sum Rule II
Combinatorics I Combinatorics Introduction Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Combinatorics is the study of collections of objects. Specifically, counting objects, arrangement, derangement, etc. of objects along with their mathematical properties. Counting objects is important in order to analyze algorithms and Spring 2006 compute discrete probabilities. Originally, combinatorics was motivated by gambling: counting configurations is essential to elementary probability. Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 4.1-4.6 & 6.5-6.6 of Rosen [email protected] Combinatorics II Product Rule Introduction If two events are not mutually exclusive (that is, we do them separately), then we apply the product rule. A simple example: How many arrangements are there of a deck of 52 cards? Theorem (Product Rule) In addition, combinatorics can be used as a proof technique. Suppose a procedure can be accomplished with two disjoint A combinatorial proof is a proof method that uses counting subtasks. If there are n1 ways of doing the first task and n2 ways arguments to prove a statement. of doing the second, then there are n1 · n2 ways of doing the overall procedure. Sum Rule I Sum Rule II There is a natural generalization to any sequence of m tasks; If two events are mutually exclusive, that is, they cannot be done namely the number of ways m mutually exclusive events can occur at the same time, then we must apply the sum rule. is n1 + n2 + ··· nm−1 + nm Theorem (Sum Rule) We can give another formulation in terms of sets. Let If an event e1 can be done in n1 ways and an event e2 can be done A1,A2,...,Am be pairwise disjoint sets. -
Canadam 2019 the Canadian Discrete and Algorithmic Mathematics Conference 2019.Canadam.Math.Ca
Program and Abstracts CanaDAM 2019 The Canadian Discrete and Algorithmic Mathematics Conference 2019.canadam.math.ca May 28 { May 31, 2019 Simon Fraser University, Harbour Centre Vancouver, British Columbia, Canada ii CanaDAM 2019 thanks web design, registration, and support services student and postdoc support Welcome Reception Women's Lunch Graduate Networking Reception, Tutte Student Paper Award generous support from the Faculty of Science, Faculty of Applied Science, Department of Mathematics, School of Computing Science, Conference Fund, VP Academic, and VP Finance iii We greatly appreciate the many contributions of the members of the Program Committee, Executive Committee, Local Arrangements Committee, Canadian Mathematical Society staff, SFU Department of Mathematics staff, and SFU Student Volunteer Group, to the successful planning and smooth running of CanaDAM 2019. Gena Hahn and Joy Morris, Executive Committee Co-Chairs Daniel Kr´al',Program Committee Chair Jonathan Jedwab, Local Arrangements Committee Chair Program Committee (PC) Canadian Mathematical Society Staff Rick Brewster (Thompson Rivers) Alan Kelm Vida Dujmovi´c(Ottawa) Yvette Roberts Jim Geelen (Waterloo) Gosia Skrobutan Ang`eleHamel (Laurier) { EC liaison to the PC Sarah Watson Daniel Kr´al'(Brno and Warwick) { Chair Catherine McGeoch (D-Wave) SFU Dept of Mathematics Staff Pawel Pralat (Ryerson) Casey Bell Saket Saurabh (IMSc Chennai) Christie Carlson Charles Semple (Canterbury, NZ) Sofia Leposavic Anastasios Sidiropoulos (UI, Chicago) Jozsef Solymosi (UBC) SFU Student -
A Combinatorial Proof of the Rogers-Ramanujan and Schur Identities
A COMBINATORIAL PROOF OF THE ROGERS-RAMANUJAN AND SCHUR IDENTITIES ∗ ∗ CILANNE BOULET AND IGOR PAK Abstract. We give a combinatorial proof of the first Rogers-Ramanujan identity by using two symmetries of a new generalization of Dyson's rank. These symmetries are established by direct bijections. Introduction The Roger-Ramanujan identities are perhaps the most mysterious and celebrated re- sults in partition theory. They have a remarkable tenacity to appear in areas as distinct as enumerative combinatorics, number theory, representation theory, group theory, sta- tistical physics, probability and complex analysis [4, 6]. The identities were discovered independently by Rogers, Schur, and Ramanujan (in this order), but were named and publicized by Hardy [20]. Since then, the identities have been greatly romanticized and have achieved nearly royal status in the field. By now there are dozens of proofs known, of various degree of difficulty and depth. Still, it seems that Hardy's famous comment remains valid: \None of the proofs of [the Rogers-Ramanujan identities] can be called \simple" and \straightforward" [...]; and no doubt it would be unreasonable to expect a really easy proof" [20]. In this paper we propose a new combinatorial proof of the first Rogers-Ramanujan identity with a minimum amount of algebraic manipulation. Almost completely bijective, our proof would not satisfy Hardy as it is neither \simple" nor \straightforward". On the other hand, the heart of the proof is the analysis of two bijections and their properties, each of them elementary and approachable. In fact, our proof gives new generating function formulas (see (z) in Section 1) and is amenable to advanced generalizations which will appear elsewhere (see [8]). -
Bijective Proofs of Partition Identities of Macmahon, Andrews, and Subbarao Shishuo Fu, James Sellers
Bijective Proofs of Partition Identities of MacMahon, Andrews, and Subbarao Shishuo Fu, James Sellers To cite this version: Shishuo Fu, James Sellers. Bijective Proofs of Partition Identities of MacMahon, Andrews, and Sub- barao. 26th International Conference on Formal Power Series and Algebraic Combinatorics (FPSAC 2014), 2014, Chicago, United States. pp.289-296. hal-01207610 HAL Id: hal-01207610 https://hal.inria.fr/hal-01207610 Submitted on 1 Oct 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 2014, Chicago, USA DMTCS proc. AT, 2014, 289{296 Bijective Proofs of Partition Identities of MacMahon, Andrews, and Subbarao Shishuo Fu1∗y and James A. Sellers2z 1Chongqing University, P.R. China 2Penn State University, University Park, USA Abstract. We revisit a classic partition theorem due to MacMahon that relates partitions with all parts repeated at least once and partitions with parts congruent to 2; 3; 4; 6 (mod 6), together with a generalization by Andrews and two others by Subbarao. Then we develop a unified bijective proof for all four theorems involved, and obtain a natural further generalization as a result. R´esum´e. Nous revisitons un th´eor`emede partitions d'entiers d^u`aMacMahon, qui relie les partitions dont chaque part est r´ep´et´eeau moins une fois et celles dont les parts sont congrues `a2; 3; 4; 6 (mod 6), ainsi qu'une g´en´eralisationpar Andrews et deux autres par Subbarao. -
Combinatorics
Combinatorics Stephan Wagner June 2017 Chapter 1 Elementary enumeration principles Sequences Theorem 1.1 There are nk different sequences of length k that can be formed from ele- ments of a set X consisting of n elements (elements are allowed to occur several times in a sequence). Proof: For every element of the sequence, we have exactly n choices. Therefore, there are |n · n {z· ::: · n} = nk k times different possibilities. Example 1.1 Given an \alphabet" of n letters, there are exactly nk k-letter words. For instance, there are 8 three-digit words (not necessarily meaningful) that can be formed from the letters S and O: SSS, SSO, SOS, OSS, SOO, OSO, OOS, OOO. The number of 100-letter words over the alphabet A,C,G,T is 4100, which is a 61-digit number; DNA strings as they occur in cells of living organisms are much longer, of course. Permutations Theorem 1.2 The number of possibilities to arrange n (distinguishable) objects in a row (so-called permutations) is n! = n · (n − 1) · ::: · 3 · 2 · 1: Proof: There are obviously n choices for the first position, then n − 1 remaining choices for the second position (as opposed to the previous theorem), n − 2 for the third position, etc. Therefore, one obtains the stated formula. 1 CHAPTER 1. ELEMENTARY ENUMERATION PRINCIPLES 2 Example 1.2 There are 6 possibilities to arrange the letters A,E,T in a row: AET, ATE, EAT, ETA, TAE, TEA. Remark: By definition, n! satisfies the equation n! = n · (n − 1)!, which remains true if one defines 0! = 1 (informally, there is exactly one possibility to arrange 0 objects, and that is to do nothing at all).