On Posets and Hopf Algebras
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A Combinatorial Analysis of Finite Boolean Algebras
A Combinatorial Analysis of Finite Boolean Algebras Kevin Halasz [email protected] May 1, 2013 Copyright c Kevin Halasz. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license can be found at http://www.gnu.org/copyleft/fdl.html. 1 Contents 1 Introduction 3 2 Basic Concepts 3 2.1 Chains . .3 2.2 Antichains . .6 3 Dilworth's Chain Decomposition Theorem 6 4 Boolean Algebras 8 5 Sperner's Theorem 9 5.1 The Sperner Property . .9 5.2 Sperner's Theorem . 10 6 Extensions 12 6.1 Maximally Sized Antichains . 12 6.2 The Erdos-Ko-Rado Theorem . 13 7 Conclusion 14 2 1 Introduction Boolean algebras serve an important purpose in the study of algebraic systems, providing algebraic structure to the notions of order, inequality, and inclusion. The algebraist is always trying to understand some structured set using symbol manipulation. Boolean algebras are then used to study the relationships that hold between such algebraic structures while still using basic techniques of symbol manipulation. In this paper we will take a step back from the standard algebraic practices, and analyze these fascinating algebraic structures from a different point of view. Using combinatorial tools, we will provide an in-depth analysis of the structure of finite Boolean algebras. We will start by introducing several ways of analyzing poset substructure from a com- binatorial point of view. -
The Number of Graded Partially Ordered Sets
JOURNAL OF COMBINATORIAL THEORY 6, 12-19 (1969) The Number of Graded Partially Ordered Sets DAVID A. KLARNER* McMaster University, Hamilton, Ontario, Canada Communicated by N. G. de Bruijn ABSTRACT We find an explicit formula for the number of graded partially ordered sets of rank h that can be defined on a set containing n elements. Also, we find the number of graded partially ordered sets of length h, and having a greatest and least element that can be defined on a set containing n elements. The first result provides a lower bound for G*(n), the number of posets that can be defined on an n-set; the second result provides an upper bound for the number of lattices satisfying the Jordan-Dedekind chain condition that can be defined on an n-set. INTRODUCTION The terminology we will use in connection with partially ordered sets is defined in detail in the first few pages of Birkhoff [1]; however, we need a few concepts not defined there. A rank function g maps the elements of a poset P into the chain of integers such that (i) x > y implies g(x) > g(y), and (ii) g(x) = g(y) + 1 if x covers y. A poset P is graded if at least one rank function can be defined on it; Birkhoff calls the pair (P, g) a graded poset, where g is a particular rank function defined on a poset P, so our definition differs from his. A path in a poset P is a sequence (xl ,..., x~) such that x~ covers or is covered by xi+l, for i = 1 ... -
Arxiv:1508.05446V2 [Math.CO] 27 Sep 2018 02,5B5 16E10
CELL COMPLEXES, POSET TOPOLOGY AND THE REPRESENTATION THEORY OF ALGEBRAS ARISING IN ALGEBRAIC COMBINATORICS AND DISCRETE GEOMETRY STUART MARGOLIS, FRANCO SALIOLA, AND BENJAMIN STEINBERG Abstract. In recent years it has been noted that a number of combi- natorial structures such as real and complex hyperplane arrangements, interval greedoids, matroids and oriented matroids have the structure of a finite monoid called a left regular band. Random walks on the monoid model a number of interesting Markov chains such as the Tsetlin library and riffle shuffle. The representation theory of left regular bands then comes into play and has had a major influence on both the combinatorics and the probability theory associated to such structures. In a recent pa- per, the authors established a close connection between algebraic and combinatorial invariants of a left regular band by showing that certain homological invariants of the algebra of a left regular band coincide with the cohomology of order complexes of posets naturally associated to the left regular band. The purpose of the present monograph is to further develop and deepen the connection between left regular bands and poset topology. This allows us to compute finite projective resolutions of all simple mod- ules of unital left regular band algebras over fields and much more. In the process, we are led to define the class of CW left regular bands as the class of left regular bands whose associated posets are the face posets of regular CW complexes. Most of the examples that have arisen in the literature belong to this class. A new and important class of ex- amples is a left regular band structure on the face poset of a CAT(0) cube complex. -
Decomposition Spaces, Incidence Algebras and M\" Obius Inversion I
DECOMPOSITION SPACES, INCIDENCE ALGEBRAS AND MOBIUS¨ INVERSION I: BASIC THEORY IMMA GALVEZ-CARRILLO,´ JOACHIM KOCK, AND ANDREW TONKS Abstract. This is the first in a series of papers devoted to the theory of decomposition spaces, a general framework for incidence algebras and M¨obius inversion, where algebraic identities are realised by taking homotopy cardinality of equivalences of ∞-groupoids. A decomposition space is a simplicial ∞-groupoid satisfying an exactness condition, weaker than the Segal condition, expressed in terms of active and inert maps in ∆. Just as the Segal condition expresses composition, the new exactness condition expresses decomposition, and there is an abundance of examples in combinatorics. After establishing some basic properties of decomposition spaces, the main result of this first paper shows that to any decomposition space there is an associated incidence coalgebra, spanned by the space of 1-simplices, and with coefficients in ∞-groupoids. We take a functorial viewpoint throughout, emphasising conservative ULF functors; these induce coalgebra homomorphisms. Reduction procedures in the classical theory of incidence coalgebras are examples of this notion, and many are examples of decalage of decomposition spaces. An interesting class of examples of decomposition spaces beyond Segal spaces is provided by Hall algebras: the Waldhausen S•-construction of an abelian (or stable infinity) category is shown to be a decomposition space. In the second paper in this series we impose further conditions on decomposition spaces, to obtain a general M¨obius inversion principle, and to ensure that the various constructions and results admit a homotopy cardinality. In the third paper we show that the Lawvere–Menni Hopf algebra of M¨obius intervals is the homotopy cardinality of a certain universal decomposition space. -
Combinatorics
09.10.74 Combinatorics Lectures of Mark Dukes Typing and layout by Líney Halla Kristinsdóttir University of Iceland Spring Term 2008 Contents 1 Enumeration1 1.1 Counting Arguments...............................2 1.2 Elementary Counting Coecients........................3 1.3 Compositions & Partitions of an Integer....................7 1.4 The Reection Principle.............................9 1.5 Stirling Numbers................................. 10 1.5.1 Stirling Numbers of the 2nd Kind: S(n; k) ............... 10 1.5.2 Signless Stirling Numbers of the 1st Kind............... 12 1.6 Multinomial Coecients............................. 14 1.7 Generating Functions I.............................. 15 1.8 Generating Functions II............................. 22 2 Permutations & Permutation Statistics 27 2.1 Descents & the Eulerian Polynomial...................... 27 2.2 Cycle structure & left-to-right maxima..................... 32 2.3 Excedances & weak excedances......................... 33 2.4 Inversions & the Major index.......................... 35 2.5 Multisets, Permutations & q-series....................... 39 2.6 Subspaces of a Vector Space.......................... 43 2.7 Permutations as Increasing Binary Trees.................... 45 2.8 Standard Young Tableaux............................ 46 2.9 Robinson-Schensted-Knuth (RSK) correspondence............... 48 i 3 Partially Ordered Sets (Posets) 53 3.1 Posets...................................... 53 3.2 Lattices..................................... 60 3.3 Modular Lattices................................ -
LTCC Enumerative Combinatorics 5 Posets and M¨Obius Inversion
LTCC Enumerative Combinatorics Notes 5 Alex Fink Fall 2015 5 Posets and Mobius¨ inversion Mobius¨ inversion can be viewed as a generalisation of the inclusion-exclusion principle with an apparatus to keep track of how the conditions intersect, as an apparatus to reduce the number of terms. The apparatus, that of partial orders, turns out to be of great combinatorial utility in its own right. 5.1 The inclusion-exclusion principle Often we are in the situation where we have a number of conditions on a set of combinatorial objects, and we have information about the number of objects which satisfy various combinations of these conditions (inclusion), while we want to count the objects satisfying none of the conditions (exclusion), or perhaps satis- fying some but not others. What is known as the sieve method is of general use in this situation: overcount the objects satisfying the conditions, and then make cor- rections and subtract off elements that have been multiply counted, and so forth. The sieve of Eratosthenes gave its name to the class (although, alone, it’s not es- pecially helpful for the enumeration of primes): the primes are the integers which satify none of the conditions of having the forms 2n;3n;5n;7n;::: for n ≥ 2. Let A1;:::;An be subsets of a finite set X. For any non-empty subset J of the index set [n], we put \ AJ = A j; j2J and take A/0 = X by convention. Theorem 5.1 (Inclusion-Exclusion Principle) The number of elements of X ly- ing in none of the sets Ai is equal to jJj ∑ (−1) jAJj: J⊆[n] Proof The expression in the theorem is a linear combination of the cardinalities of the sets AJ, and so we can calculate it by working out, for each x 2 X, the contribution of x to the sum. -
Elementary Proof of a Theorem of Hawkes, Isaacs And¨Ozaydin
Elementary Proof of a Theorem of Hawkes, Isaacs and Ozaydin¨ Matth´evan der Lee Abstract We present an elementary proof of the theorem of Hawkes, Isaacs and Ozaydin,¨ which states that Σ µG(H, K) ≡ 0 mod d, where µG denotes the M¨obius function for the subgroup lattice of a finite group G, H ranges over the conjugates of a given subgroup F of G with [G : F ] divisible by d, and K over the supergroups of the H for which [K : H] divides d. We apply the theorem to obtain a result on the number of solutions of |hH,gi| | n, for said H and a natural number n. The present version of the article includes an additional result on a quantity studied by K.S. Brown. Keywords: M¨obius function, arithmetic functions, subgroup lattice 2010 MSC: 05E15, 11A25, 20D30 1 Introduction The purpose of this note is to present a simple proof for the theorem of Hawkes, Isaacs and Ozaydin,¨ an important tool in the area of counting problems in finite groups. We refer to [3], where the result has appeared as Theorem 5.1, for background information regarding the subject. The exposition uses minimal group theory. The ingredients for the proof are Burnside’s Lemma, the incidence algebra of a finite partially ordered set (of which we use only the basic properties), and a feature of arithmetic functions: Corollary 3.4. Next, we derive a result on the number of solutions g of |hH,gi| | n, for a finite group G, a subgroup H ≤ G, and n | |G| (Theorem 6.1), and some results on a quantity studied by K.S. -
Friday 1/18/08
Friday 1/18/08 Posets Definition: 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 amd 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 (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 . 123 123 12 12 13 23 12 13 23 1 2 1 2 3 1 2 3 The first two pictures are Hasse diagrams. They don't include all relations, just the covering relations, which are enough to generate all the relations in the poset. (As you can see on the right, including all the relations would make the diagram unnecessarily complicated.) Definitions: Let P be a poset and x; y 2 P . • x is covered by y, written x l y, if x < y and there exists no z such that x < z < y. • The interval from x to y is [x; y] := fz 2 P j x ≤ z ≤ yg: (This is nonempty if and only if x ≤ y, and it is a singleton set if and only if x = y.) The Boolean algebra Bn has a unique minimum element (namely ;) and a unique maximum element (namely [n]). Not every poset has to have such elements, but if a poset does, we'll call them 0^ and 1^ respectively. -
The Incidence Algebra and the Möbius Function
Monday 2/25 The Incidence Algebra Many enumerative properties of posets P can be expressed in terms of a ring called its incidence algebra. Definition 1. Let P be a locally finite poset and let Int(P ) denote the set of intervals of P . The incidence algebra I(P ) is the set of functions f : Int(P ) ! C. I'll abbreviate f([x; y]) by f(x; y). (For convenience, we set f(x; y) = 0 if x 6≤ y.) This is a C-vector space with pointwise addition, subtraction and scalar multiplication. It can be made into an associative algebra by the convolution product: (f ∗ g)(x; y) = f(x; z)g(z; y): z2X[x;y] Proposition 1. Convolution is associative. Proof. [(f ∗ g) ∗ h](x; y) = (f ∗ g)(x; z) · h(z; y) z2X[x;y] = f(x; w)g(w; z) h(z; y) 0 1 z2X[x;y] w2X[x;z] @ A = f(x; w) g(w; z)h(z; y) 0 1 w2X[x;y] z2X[w;y] = f(x; w) @· (g ∗ h)(w; y) A w2X[x;y] = [f ∗ (g ∗ h)](x; y): Proposition 2. f 2 I(P ) is invertible if and only if f(x; x) 6= 0 for all x. Proof. If f is invertible with inverse g, then (f ∗g)(x; x) = f(x; x)g(x; x) for all x, so in particular f(x; x) 6= 0. OTOH, if f(x; x) 6= 0, then we can define a left inverse g inductively: g(x; x) = 1=f(x; x), and for x < y, we want to have (g ∗ f)(x; y) = 0 = g(x; z)f(z; y) x z y ≤X≤ = g(x; y)f(x; x) + f(x; z)g(z; y) x z<y ≤X so define 1 g(x; y) = − g(x; z)f(z; y): f(x; x) x≤zy X The identity element of I(P ) is the Kronecker delta function: 1 if x = y; δ(x; y) = (0 if x 6= y: The zeta function is defined as 1 if x ≤ y; ζ(x; y) = (0 if x 6≤ y and the eta function is 1 if x < y; η(x; y) = (0 if x 6< y; i.e., η = ζ − δ. -
The Theory of Compositionals
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 122 (1993) 59-87 59 North-Holland The theory of compositionals William Y.C. Chen C-3. Mail Stop 8265, Los Alanm Nationul Lahorutor_v, Los Alumos, NM 87545. USA Received 13 December 1991 Abstract By introducing the notion of compositionals we obtain a combinatorial interpretation of plethysm of formal power series in infinitely many variables. The following related problems are studied: P6lya’s theorem on the plethysm of cycle indices, plethystic inverse, the inverse of a sequence of delta series, the plethystic analog of the partition lattice, the reduced incidence algebra of the plethystic lattice, and the plethystic Hopf algebra. We also introduce plethystic trees, enriched plethystic trees and plethystic Schriider trees. An involution for plethystic Schroder trees is devised, which leads to a combinatorial expansion for the plethystic inverse of a series _j’(.xl, x2, .) containing the factor x1. 1. Introduction Formal power series in infinitely many variables arise naturally in enumerative combinatorics, especially in enumeration problems related to the symmetric group. The composition or plethysm of two series in many variables is defined as follows. Let f(xr ) x2, . .) and g(x1 ,x2, . ) be the two series such that g(xr , x2, . .) has no constant term, then the plethysm of ,f and g is given by fCd(xI>xz> ... )=f‘(g,(x,,.~,,...),g,(x,,x,,...), . ..). where gk(x1x2, ...)=g(xk,x2k,x3k, . ..). A series without constant term will be called a delta series. For simplicity, we shall writef(g(xr,x,, . -
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 . -
On the Rank Function of a Differential Poset Arxiv:1111.4371V2 [Math.CO] 28 Apr 2012
On the rank function of a differential poset Richard P. Stanley Fabrizio Zanello Department of Mathematics Department of Mathematical Sciences MIT Michigan Tech Cambridge, MA 02139-4307 Houghton, MI 49931-1295 [email protected] [email protected] Submitted: November 19, 2011; Accepted: April 15, 2012; Published: XX Mathematics Subject Classifications: Primary: 06A07; Secondary: 06A11, 51E15, 05C05. Abstract We study r-differential posets, a class of combinatorial objects introduced in 1988 by the first author, which gathers together a number of remarkable combinatorial and algebraic properties, and generalizes important examples of ranked posets, in- cluding the Young lattice. We first provide a simple bijection relating differential posets to a certain class of hypergraphs, including all finite projective planes, which are shown to be naturally embedded in the initial ranks of some differential poset. As a byproduct, we prove the existence, if and only if r ≥ 6, of r-differential posets nonisomorphic in any two consecutive ranks but having the same rank function. We also show that the Interval Property, conjectured by the second author and collabo- rators for several sequences of interest in combinatorics and combinatorial algebra, in general fails for differential posets. In the second part, we prove that the rank function pnpof any arbitrary r-differential poset has nonpolynomial growth; namely, a 2 rn pn n e ; a bound very close to the Hardy-Ramanujan asymptotic formula that holds in the special case of Young's lattice. We conclude by posing several open questions. Keywords: Partially ordered set, Differential poset, Rank function, Young lattice, Young-Fibonacci lattice, Hasse diagram, Hasse walk, Hypergraph, Finite projective plane, Steiner system, Interval conjecture.