Kostka Numbers and Longest Increasing Subsequences
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Hook Formulas for Skew Shapes Iii. Multivariate and Product Formulas
HOOK FORMULAS FOR SKEW SHAPES III. MULTIVARIATE AND PRODUCT FORMULAS ALEJANDRO H. MORALES?, IGOR PAK?, AND GRETA PANOVAy Abstract. We give new product formulas for the number of standard Young tableaux of certain skew shapes and for the principal evaluation of certain Schubert polynomials. These are proved by utilizing symmetries for evaluations of factorial Schur functions, extensively studied in the first two papers in the series [MPP1, MPP2]. We also apply our technology to obtain determinantal and product formulas for the partition function of certain weighted lozenge tilings, and give various probabilistic and asymptotic applications. 1. Introduction 1.1. Foreword. It is a truth universally acknowledged, that a combinatorial theory is often judged not by its intrinsic beauty but by the examples and applications. Fair or not, this attitude is historically grounded and generally accepted. While eternally challenging, this helps to keep the area lively, widely accessible, and growing in unexpected directions. There are two notable types of examples and applications one can think of: artistic and scientific (cf. [Gow]). The former are unexpected results in the area which are both beautiful and mysterious. The fact of their discovery is the main application, even if they can be later shown by a more direct argument. The latter are results which represent a definitive progress in the area, unattainable by other means. To paraphrase Struik, this is \something to take home", rather than to simply admire (see [Rota]). While the line is often blurred, examples of both types are highly desirable, with the best examples being both artistic and scientific. This paper is a third in a series and continues our study of the Naruse hook-length for- mula (NHLF), its generalizations and applications. -
Representation Theory
Representation Theory Andrew Kobin Fall 2014 Contents Contents Contents 1 Introduction 1 1.1 Group Theory Review . .1 1.2 Partitions . .2 2 Group Representations 4 2.1 Representations . .4 2.2 G-homomorphisms . .9 2.3 Schur's Lemma . 12 2.4 The Commutant and Endomorphism Algebras . 13 2.5 Characters . 17 2.6 Tensor Products . 24 2.7 Restricted and Induced Characters . 25 3 Representations of Sn 28 3.1 Young Subgroups of Sn .............................. 28 3.2 Specht Modules . 33 3.3 The Decomposition of M µ ............................ 44 3.4 The Hook Length Formula . 48 3.5 Application: The RSK Algorithm . 49 4 Symmetric Functions 52 4.1 Generating Functions . 52 4.2 Symmetric Functions . 53 4.3 Schur Functions . 57 4.4 Symmetric Functions and Character Representations . 60 i 1 Introduction 1 Introduction The following are notes from a course in representation theory taught by Dr. Frank Moore at Wake Forest University in the fall of 2014. The main topics covered are: group repre- sentations, characters, the representation theory of Sn, Young tableaux and tabloids, Specht modules, the RSK algorithm and some further applications to combinatorics. 1.1 Group Theory Review Definition. A group is a nonempty set G with a binary operation \·00 : G×G ! G satisfying (1) (Associativity) a(bc) = (ab)c for all a; b; c 2 G. (2) (Identity) There exists an identity element e 2 G such that for every a 2 G, ae = ea = a. (3) (Inverses) For every a 2 G there is some b 2 G such that ab = ba = e. -
SCHUR-WEYL DUALITY Contents Introduction 1 1. Representation
SCHUR-WEYL DUALITY JAMES STEVENS Contents Introduction 1 1. Representation Theory of Finite Groups 2 1.1. Preliminaries 2 1.2. Group Algebra 4 1.3. Character Theory 5 2. Irreducible Representations of the Symmetric Group 8 2.1. Specht Modules 8 2.2. Dimension Formulas 11 2.3. The RSK-Correspondence 12 3. Schur-Weyl Duality 13 3.1. Representations of Lie Groups and Lie Algebras 13 3.2. Schur-Weyl Duality for GL(V ) 15 3.3. Schur Functors and Algebraic Representations 16 3.4. Other Cases of Schur-Weyl Duality 17 Appendix A. Semisimple Algebras and Double Centralizer Theorem 19 Acknowledgments 20 References 21 Introduction. In this paper, we build up to one of the remarkable results in representation theory called Schur-Weyl Duality. It connects the irreducible rep- resentations of the symmetric group to irreducible algebraic representations of the general linear group of a complex vector space. We do so in three sections: (1) In Section 1, we develop some of the general theory of representations of finite groups. In particular, we have a subsection on character theory. We will see that the simple notion of a character has tremendous consequences that would be very difficult to show otherwise. Also, we introduce the group algebra which will be vital in Section 2. (2) In Section 2, we narrow our focus down to irreducible representations of the symmetric group. We will show that the irreducible representations of Sn up to isomorphism are in bijection with partitions of n via a construc- tion through certain elements of the group algebra. -
Honors Thesis in Determinant Formulas for Counting Linear Extensions of Tree Posets
HONORS THESIS IN DETERMINANT FORMULAS FOR COUNTING LINEAR EXTENSIONS OF TREE POSETS STEFAN GROSSER 1. Introduction Partially ordered sets are a fundamental mathematical structure as they formalize the concept of ordering a set of objects. One important question to ask is, given a partially ordered set P , how many ways can you fill in the missing information to create a total ordering on the same set? Put another way, how many ways are there to order the elements of P respecting the order of the poset? Any one way to perform this is known as a linear extension of P . Linear extensions act as a measure of complexity of a poset. The more linear extensions there are, the more information there is to fill in the partial order. Numerous mathematical fields find linear extensions to be a useful tool; this includes representation theory on the symmetric group, enumerative combinatorics, and algorithms. Thus there is a strong motivation to be able to calculate or enumerate linear extensions of posets. However, given an arbitrary partially ordered set, it is known to be very difficult to compute the number of linear extensions. The problem is in fact #P -complete (very hard) [BW91b]. However, for very specific families of posets, there are fast ways to compute this number. Several families of posets have what is known as a product formula for the number of linear extensions. Two such examples are Young diagrams and rooted trees. Both of these families have what is known as the hook-length formula for the number of linear extensions. -
Random Plane Partitions and Corner Distributions Volume 4, Issue 4 (2021), P
ALGEBRAIC COMBINATORICS Damir Yeliussizov Random plane partitions and corner distributions Volume 4, issue 4 (2021), p. 599-617. <http://alco.centre-mersenne.org/item/ALCO_2021__4_4_599_0> © The journal and the authors, 2021. Some rights reserved. This article is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE. http://creativecommons.org/licenses/by/4.0/ Access to articles published by the journal Algebraic Combinatorics on the website http://alco.centre-mersenne.org/ implies agreement with the Terms of Use (http://alco.centre-mersenne.org/legal/). Algebraic Combinatorics is member of the Centre Mersenne for Open Scientific Publishing www.centre-mersenne.org Algebraic Combinatorics Volume 4, issue 4 (2021), p. 599–617 https://doi.org/10.5802/alco.171 Random plane partitions and corner distributions Damir Yeliussizov Abstract We explore some probabilistic applications arising in connections with K-theoretic symmetric functions. For instance, we determine certain corner distributions of random lozenge tilings and plane partitions. We also introduce some distributions that are naturally related to the corner growth model. Our main tools are dual symmetric Grothendieck polynomials and normalized Schur functions. 1. Introduction Combinatorics arising in connection with K-theoretic Schubert calculus is quite rich. Accompanied by certain families of symmetric functions, it usually presents some in- homogeneous deformations of objects beyond classical Schur (or Schubert) case. While the subject is intensively studied from combinatorial, algebraic and geometric aspects, see [20,7,8, 34, 19, 13, 35] and many references therein, much less is known about probabilistic connections (unlike interactions between probability and representation theory). Some work in this direction was done in [32, 22] and related problems were addressed in [38].(1) In this paper, we give several probabilistic applications obtained with tools from combinatorial K-theory. -
On the Complexity of Computing Kostka Numbers and Littlewood-Richardson Coefficients
Formal Power Series and Algebraic Combinatorics S´eries Formelles et Combinatoire Alg´ebrique San Diego, California 2006 . On the complexity of computing Kostka numbers and Littlewood-Richardson coefficients Hariharan Narayanan Abstract. Kostka numbers and Littlewood-Richardson coefficients appear in combina- torics and representation theory. Interest in their computation stems from the fact that they are present in quantum mechanical computations since Wigner ([17]). In recent times, there have been a number of algorithms proposed to perform this task ([1], [13], [14], [2], [3]). The issue of their computational complexity was explicitly asked by E. Rassart ([13]). We prove that the computation of either quantity is #P -complete. This, implies that unless P = NP , which is widely disbelieved, there do not exist efficient algorithms that compute these numbers. Resum´ e.´ Les nombres de Kostka et les coefficients de Littlewood-Richardson apparaissent en combinatoire et en th´eorie de la repr´esentation. Il est int´eressant de les calculer car ils ap- paraissent dans certains calculs en m´ecanique quantique depuis Wigner ([17]). R´ecemment, plusieurs algorithmes ont ´et´epropos´espour les calculer ([1], [13], [14], [2], [3]). Le probl`eme de la complexit´ede ce calcul a ´et´epos´epar E. Rassart ([13]). Nous d´emontrons que le calcul des nombres de Kotska et des coefficients de Littlewood-Richardson est #P-complet. Cela implique que, `amoins que P=NP, il n’existe pas d’algorithme efficace pour calculer ces nombres. 1. Introduction Let N = {1, 2,...} be the set of positive integers and Z≥0 = N ∪ {0}. Let λ =(λ1,...,λs) ∈ Ns Zt Zu , λ1 ≥ λ2 ≥ ··· ≥ λs ≥ 1, µ = (µ1,...,µt) ∈ ≥0, ν = (ν1,...,νu) ∈ ≥0 and v α = (α1,...,αv) ∈ N , α1 ≥···≥ αv ≥ 1. -
On the Number of Partition Weights with Kostka Multiplicity One
On the number of partition weights with Kostka multiplicity one Zachary Gates∗ Brian Goldmany Department of Mathematics Mathematics Department University of Virginia College of William and Mary Charlottesville, VA Williamsburg, VA [email protected] [email protected] C. Ryan Vinrootz Mathematics Department College of William and Mary Williamsburg, VA [email protected] Submitted: Jul 24, 2012; Accepted: Dec 19, 2012; Published: Dec 31, 2012 Mathematics Subject Classification: 05A19 Abstract Given a positive integer n, and partitions λ and µ of n, let Kλµ denote the Kostka number, which is the number of semistandard Young tableaux of shape λ and weight µ. Let J(λ) denote the number of µ such that Kλµ = 1. By applying a result of Berenshtein and Zelevinskii, we obtain a formula for J(λ) in terms of restricted partition functions, which is recursive in the number of distinct part sizes of λ. We use this to classify all partitions λ such that J(λ) = 1 and all λ such that J(λ) = 2. We then consider signed tableaux, where a semistandard signed tableau of shape λ has entries from the ordered set f0 < 1¯ < 1 < 2¯ < 2 < · · · g, and such that i and ¯i contribute equally to the weight. For a weight (w0; µ) with µ a partition, the signed Kostka number K± is defined as the number of semistandard signed tableaux λ,(w0,µ) ± of shape λ and weight (w0; µ), and J (λ) is then defined to be the number of weights ± (w0; µ) such that K = 1. Using different methods than in the unsigned case, λ,(w0,µ) we find that the only nonzero value which J ±(λ) can take is 1, and we find all sequences of partitions with this property. -
[Math.CO] 25 Apr 2018 Hoe 1.1 Theorem Hlegn.Te Aebe Evl Tde Nbt Combina Both in Studied the Heavily to Been Nection Have Question They These Challenging
ON THE LARGEST KRONECKER AND LITTLEWOOD–RICHARDSON COEFFICIENTS IGOR PAK⋆, GRETA PANOVA† AND DAMIR YELIUSSIZOV⋆ Abstract. We give new bounds and asymptotic estimates for Kronecker and Littlewood– Richardson coefficients. Notably, we resolve Stanley’s questions on the shape of partitions attaining the largest Kronecker and Littlewood–Richardson coefficients. We apply the results to asymptotics of the number of standard Young tableaux of skew shapes. 1. Introduction What is largest dimension D(n) of an irreducible representation of Sn? Which partitions correspond to the largest representations? These questions are both classical and surprisingly challenging. They have been heavily studied in both combinatorics and probability, in con- nection to the longest increasing subsequences. We refer to [AD, BDJ, Rom] for the history of this problem. In algebraic combinatorics and related fields, the Kronecker and Littlewood–Richardson (LR ) coefficients play a crucial role. They are the structure constants in the ring of char- − acters of Sn and GLN (C), respectively: χµ χν = g(λ, µ, ν) χλ and s s = cλ s . · µ · ν µ,ν λ ν X Xλ These coefficients have been intensely studied from combinatorial (see e.g. [S4, vL]), geometric (see e.g. [Ful]), probabilistic (see [Bia]), and computational point of view (see e.g. [B¨ur, BI]). Yet, relatively little is known about the asymptotics of these coefficients (see 7.1). In recent years, Stanley computed asymptotic of the largest Kronecker and LR–coefficients:§ Theorem 1.1 (Stanley [S5, S6]). We have: O(√n) ( ) max max max g(λ, µ, ν) = √n! e− , arXiv:1804.04693v2 [math.CO] 25 Apr 2018 ∗ λ n µ n ν n ⊢ ⊢ ⊢ λ n/2 O(√n) ( ) max max max max cµ,ν = 2 − . -
Asymptotics of the Number of Standard Young Tableaux of Skew Shape
ASYMPTOTICS OF THE NUMBER OF STANDARD YOUNG TABLEAUX OF SKEW SHAPE ALEJANDRO H. MORALES?, IGOR PAK? AND GRETA PANOVAy Abstract. We give new bounds and asymptotic estimates on the number of standard Young tableaux of skew shape in a variety of special cases. Our approach is based on Naruse's hook-length formula. We also compare our bounds with the existing bounds on the numbers of linear extensions of the corresponding posets. 1. Introduction The classical hook-length formula (HLF) allows one to compute the number f λ = j SYT(λ)j of standard Young tableaux of a given shape [FRT]. This formula had profound applications in Enumer- ative and Algebraic Combinatorics, Discrete Probability, Representation Theory and other fields (see e.g. [Rom, Sag, S3]). Specifically, the HLF allows to derive asymptotics for f λ for various families of \large" partitions λ. This was famously used to compute the diagram of a random representation of λ 2 Sn with respect to the Plancherel measure (f ) =n!, see [LS, VK] (see also [Bia, S4]). For skew shapes λ/µ, little is known about the asymptotics, since there is no multiplicative formula for f λ/µ = j SYT(λ/µ)j. For large n = jλ/µj, the asymptotics are known for few special families of skew shapes (see [AR]), and for fixed µ (see [OO, RV, S2]). In this paper we show that the \naive HLF" give good approximations for f λ/µ in many special cases of interest. Formally, let λ be a partition of n. Denote by f λ = j SYT(λ)j the number of standard Young tableaux of shape λ. -
Part III Representation Theory Lectured by Stuart Martin, Lent Term 2013
Part III Representation Theory Lectured by Stuart Martin, Lent Term 2013 Please send any comments and corrections to [email protected]. Contents 0 Preliminaries 2 1 Semisimple algebras 4 2 Irreducible modules for the symmetric group 8 3 Standard basis of Specht modules 12 4 Character formula 14 5 The hook length formula 21 6 Multilinear algebra and algebraic geometry 24 Interlude: some reminders about affine varieties 29 7 Schur{Weyl duality 31 8 Tensor decomposition 34 9 Polynomial and rational representations of GL(V ) 37 Interlude: some reminders about characters of GLn(C) 40 10 Weyl character formula 41 11 Introduction to invariant theory and first examples 44 12 First fundamental theorem of invariant theory 50 Example sheet 1 53 Example sheet 2 57 Last updated Thursday 21 March 2013 1 0 Preliminaries In this course we will study representations of (a) (finite) symmetric groups (b) (infinite) general linear groups all over C, and apply the theory to \classical" invariant theory. We require no previous knowledge, except for some commutative algebra, ordinary representation theory and algebraic geometry, as outlined below. Commutative algebra References: Part III course, Atiyah{Macdonald. It is assumed that you will know about rings, modules, homomorphisms, quotients and chain conditions (the ascending chain condition, ACC, and descending chain condition, DCC). Recall: a chain, or filtration, of submodules of a module M is a sequence (Mj : 0 j n) such that ≤ ≤ M = M0 > M1 > > Mn > 0 ··· The length of the chain is n, the number of links. A composition series is a maximal chain; equivalently, each quotient Mj−1=Mj is irreducible. -
On the Number of Partition Weights with Kostka Multiplicity One
On the number of partition weights with Kostka multiplicity one Zachary Gates, Brian Goldman, and C. Ryan Vinroot Abstract Given a positive integer n, and partitions λ and µ of n, let Kλµ denote the Kostka num- ber, which is the number of semistandard Young tableaux of shape λ and weight µ. Let J(λ) denote the number of µ such that Kλµ = 1. By applying a result of Berenshtein and Zelevinskii, we obtain a formula for J(λ) in terms of restricted partition functions, which is recursive in the number of distinct part sizes of λ. We use this to classify all partitions λ such that J(λ) = 1 and all λ such that J(λ) = 2. We then consider the signed Kostka number, corresponding to the number of signed tableau of a specified shape and weight, and define J ±(λ) analogously. We find that the only nonzero value which this can take is 1, and we find all sequences of partitions with this property. We conclude with an application to the character theory of finite unitary groups. 2010 Mathematics Subject Classification: 05A19 1 Introduction Given partitions λ and µ of a positive integer n, the Kostka number Kλµ is the number of semistandard Young tableaux of shape λ and weight µ. Motivated by the importance of Kostka numbers and their generalizations in the representation theory of Lie algebras, Berenshtein and Zelevinskii [1] addressed the question of precisely when it is that Kλµ = 1. It may be seen, for example, that we always have Kλλ = 1. The results of this paper were motivated by the question: For which partitions λ is it true that Kλµ = 1 if and only if µ = λ? The answer to this question, given in Corollary 5.1, turns out to be quite nice, which is that this holds exactly for those partitions λ for which the conjugate partition λ0 has distinct parts. -
Arxiv:Math/0512035V1 [Math.CO] 1 Dec 2005
Increasing and Decreasing Subsequences of Permutations and Their Variants Richard P. Stanley Department of Mathematics, Massachusetts Institute of Technology Cambridge, MA 02139, USA [email protected] version of 29 November 2005 Abstract.We survey the theory of increasing and decreasing subsequences of permuta- tions. Enumeration problems in this area are closely related to the RSK algorithm. The asymptotic behavior of the expected value of the length is(w) of the longest increasing subsequence of a permutation w of 1, 2,...,n was obtained by Vershik-Kerov and (al- most) by Logan-Shepp. The entire limiting distribution of is(w) was then determined by Baik, Deift, and Johansson. These techniques can be applied to other classes of permuta- tions, such as involutions, and are related to the distribution of eigenvalues of elements of the classical groups. A number of generalizations and variations of increasing/decreasing subsequences are discussed, including the theory of pattern avoidance, unimodal and alternating subsequences, and crossings and nestings of matchings and set partitions. 1. Introduction Let Sn denote the symmetric group of all permutations of [n] := 1, 2,...,n . We write { } permutations w Sn as words, i.e., w = a1a2 an, where w(i) = ai. An increasing ∈ · · · subsequence of w is a subsequence ai ai satisfying ai < <ai , and similarly for 1 · · · k 1 · · · k decreasing subsequence. For instance, if w = 5642713, then 567 is an increasing subse- quence and 543 is a decreasing subsequence. Let is(w) (respectively, ds(w)) denote the length (number of terms) of the longest increasing (respectively, decreasing) subsequence of w.