On the growth of the Kronecker coefficients.

Size: px
Start display at page:

Download "On the growth of the Kronecker coefficients."

Transcription

1 On the growth of the Kronecker coefficients. May 15, 2017 Algebraic Combinatorixx, Banff 2017

2 Summary

3 What are the Kronecker coefficients? The representation theory of the general lineal group. The representation theory of the symmetric group. Symmetric functions.

4 The representation theory of the general lineal group A representation of GL(V ) is a vector space W together with a group homomorphism ρ : GL(V ) GL(W ). The character of ρ is a function from GL(V ) C that to any matrix A it associates the trace of ρ(a). We assume that our representions are polynomial.

5 Defining representation Let {e 1, e 2,, e d } a eigenbasis for A, that we can assume to be diagonalizable. Ae k = α k e k The identity φ(a) = A defines a representation GL(V ) GL(V ) of degree d. Its character is just the trace of A, i.e., the sum of the eigenvalues of A: ch(v ) = s 1 (α 1, α 2,, α d ) = α 1 + α α d

6 Symmetric Powers, Sym k V There is a representation of GL(V ) on Sym k (V ) induced by the diagonal action of GL(V ) on Sym k V. Sym k : GL(V ) GL(Sym k V )) A basis for Sym k V is given by the symmetric products with i 1 i 2, i k. e i1 e i2 e ik

7 The character of Sym k V Then, A(e i1 e i2 e ik ) = A(e i1 ) A(e i2 ) A(e ik ) = (α i1 α i2 α ik )e i1 e i2 e ik The trace of this homomorphism is the sum of all different monomials α i1 α i2 α ik of degree k: ch(sym k V ) = s (k) (α 1, α 2,, α d )

8 The exterior powers, k V, with k dim V Let A act on k V diagonally. This defines a representation k V : GL(V ) GL( k (V )) A(e i1 e i2 e ik ) = A(e i1 ) A(e i2 ) A(e ik ) = (α i1 α i2 α ik )e i1 e i2 e ik with strictly increasing subindices. The character of the representation k V is k ch( V ) = s(1 k)(α 1, α 2,, α d )

9 Weyl s construction To any partition λ of length dim(v ) Weyl associated an irrep of GL(V ) inside of V using Young symmetrizers. A basis of W λ is labelled by all semistandard filling of λ. The degree of the representation W λ (V ) is the number of semistandard filling of λ with entries 1, 2,, dim(v ).

10 The restriction of representations The product GL(V ) GL(W ) can be embedded into GL(V W ) : Let A GL(V ) and B GL(W ), (A, B) acts on V W : (A, B)(v w) = Av Bw. That is, GL(V ) GL(W ) GL(V W ) W λ (V W ) The restriction of W λ (V W ) to GL(V ) GL(W ) defines a (usually reducible) representation of GL(V ) GL(W ).

11 The Kronecker coefficients The restriction of representations is usually reducible W λ GL(V W ) (V W ) GL(V ) GL(W ) = g µ,ν,λ W µ (V ) W ν (W ) The g λ,µ,ν are the Kronecker coefficients. Being multiplicities are non-negative integers.

12 The Character of V W Let {e 1, e 2, e d1 } and {f 1, f 2, f d2 } be eigenbases for A and B, with eigenvalues α i and β j. Then e i f j is an eigenbasis for V W with eigenvalues α i β j (A, B)(e i f j ) = A(e i ) B(f j ) = α i β j (e i f j ) Therefore, ch(v W ) = s 1 (α 1 β 1, α 1 β 2, α d1 β d2 )

13 ch(w λ (V W )) Since ch(w λ (V W )) is the Schur function s λ evaluated at the eigenvalues for the representation V W ch(w λ (V W )) = s λ (α 1 β 1, α 1 β 2, α d1 β d2 )

14 Summary The isormorphism of representations W λ GL(V W ) (V W ) GL(V ) GL(W ) = g µ,ν,λ W µ (V ) W ν (W ) translates into the identity of symmetric functions: s λ (α 1 β 1, α 1 β 2, α d1 β d2 ) = µ,ν g µ,ν,λ s µ (α 1,, α d1 )s ν (β 1,, β d2 )

15 The product of two alphabets If A = α α d1 and B = β β d2 then Therefore, AB = α 1 β 1 + α 1 β 2 + α d1 β d2 s λ (α 1 β 1, α 1 β 2, α d1 β d2 ) = µ,ν g µ,ν,λ s µ (α 1,, α d1 )s ν (β 1,, β d2 ) Becomes s λ [AB] = g µ,ν,λ s µ [A]s ν [B] µ,ν

16 The stretched Kronecker quasi polynomial Q λ,µ,ν (t) Let λ, µ and ν be three partitions of n. The stretched Kronecker quasi polynomial Q λ,µ,ν (t) is defined as Q λ,µ,ν (t) = g tλ,tµ,tν Thm [Meinrenken-Sjamaar 1999, Mulmuley 2007] The function Q λ,µ,ν (t) is indeed a quasi polynomial.

17 Some examples of Kronecker quasi-polynomials For λ = (1, 1), µ = (1, 1), ν = (1, 1) 1, if t 0 mod 2 g λ,µ,ν = 0, Q λ,µ,ν (t) = 0, if t 1 mod 2 For λ = (2, 1), µ = (2, 1), ν = (2, 1) g λ,µ,ν = 2, Q λ,µ,ν (t) = (t + 2)/2, if t 0 mod 2 (t + 1)/2, if t 1 mod 2

18 Lineal growth A related result Thm [Briand, Rattam, R] If the three indexing partitions have long first parts, and we add t cells to each of their first two rows, then, the Kronecker coefficients are described by a linear quasipolynomial of period 2 on t.

19 The remaining rows Thm [Colmenarejo-R:] The reduced Kronecker coefficient indexed by (k), (k a ), (k a ) count the number of plane partitions of k fitting inside a 2 a rectangle. The corresponding quasi-polynomial has degree 2a 1 and period lcm(1, 2,, a + 1).

20 A cubic quasi polynomial Thm [Colmenarejo-R:] F 3 6 g k k 2, k 2 g k k 2, k k 3 1 6k 2 2 3k 1 k 0 mod k 3 1 6k k 5 18 k 1 mod k 3 1 6k 2 2 3k 8 9 k 2 mod k 3 1 6k k 1 2 k 3 mod k 3 1 6k 2 2 3k 7 9 k 4 mod k 3 1 6k k 7 18 k 5 mod 6

21 Why is this interesting? Asymptotic of the Kronecker coefficients. This quasi polynomial gives us information about the kind of objects that can be counted by the Kronecker coefficients.

22 An interesting example of Kronecker quasi polynomial Let λ = (6, 6), µ = (7, 5), and ν = (6, 4, 2) be partitions. Briand, Orellana, R showed that Mulmuley s saturation hypothesis does not hold. For even values of t whereas for odd values of t Q λ,µ,ν = 1 (t + 2). 2 Q λ,µ,ν = 1 (t + 2). 2

23 Ron King s observation In 2009, in Sevilla, Ron King observed that for λ = (6, 6), µ = (7, 5), and ν = (6, 4, 2) Q λ,µ,ν (m) ( 1) m Q λ,µ,ν ( m) Ehrhart reciprocity fails. Q λ,µ,ν can NOT count the number of integral points on any dilated rational polytope.

24 The work of Baldoni and Vergnes On their paper Computations of dilated Kronecker coefficients Baldoni and Vergnes found an algorithm that computes the dilated Kronecker coefficients, and implemented it on Maple. For partitions of bounded length it runs in polynomial time. There are also plenty of interesting examples.

25 Only Don Quijote would be find it realistic to try to describe combinatorial formulas for the Kronecker quasi-polynomials.

26 Garsia, Wallach, Xin, Zabrocki: s (d,d),(d,d),λ = ((all parts odd or all parts even)) Brown, van Willigenburg, Zabrocki: g (d,d),(d+k,d k),λ = 1{ if k λ 2 (mod 2) and λ 2 k and zero otherwise

27 Ron King s conjectures In his Sevilla talk, Ron King proposed a series of conjectures concerning the Kronecher quasi polynomial Q (n 1,1),µ,µ Q ν λµ (t) with λ =(n 1, 1) and µ = ν Cases with a>0, a>b>0 and a>b>c>0 as appropriate for t =0, 1,...,12 µ = ν a aa ab aaa aab, abb abc Conjecture The results are independent of a, b, c (taken from his slides) Seville-2009 p.38

28 Ron King s conjectures Q ν λµ (t) with λ =(n 1, 1) and µ = ν Cases with a > b > c > d > e > 0 for t =0, 1,...,10 µ = ν aaaaa abbbb aabbb abccc abbcc abcdd abcde Conjecture The results are independent of a, b, c, d, e The cases abbbb and aaaab are identical, etc. (taken from his slides) Seville-2009 p

29 Ron King s conjectures Q ν λµ (t) with λ =(n 1, 1) and µ = ν Cases with a > b > c > d > 0 for t =0, 1,...,10 µ = ν aaaa abbb aabb abcc abcd Conjecture The results are independent of a, b, c, d The cases abbb and aaab are identical The cases abcc, abbc and aabc are identical (taken from his slides)

30 A combinatorial proof for Ron King s conjectures The starting point of our work will be a combinatorial interpretation for Kronecher quasi polynomial Q (n 1,1),µ,µ. We will explore where does it takes us.

POLYNOMIAL BEHAVIOUR OF KOSTKA NUMBERS

POLYNOMIAL BEHAVIOUR OF KOSTKA NUMBERS POLYNOMIAL BEHAVIOUR OF KOSTKA NUMBERS DINUSHI MUNASINGHE Abstract. Given two standard partitions λ + = (λ + 1 λ+ s ) and λ = (λ 1 λ r ) we write λ = (λ +, λ ) and set s λ (x 1,..., x t ) := s λt (x 1,...,

More information

Appendix to: Generalized Stability of Kronecker Coefficients. John R. Stembridge. 14 August 2014

Appendix to: Generalized Stability of Kronecker Coefficients. John R. Stembridge. 14 August 2014 Appendix to: Generalized Stability of Kronecker Coefficients John R. Stembridge 14 August 2014 Contents A. Line reduction B. Complementation C. On rectangles D. Kronecker coefficients and Gaussian coefficients

More information

REPRESENTATIONS OF S n AND GL(n, C)

REPRESENTATIONS OF S n AND GL(n, C) REPRESENTATIONS OF S n AND GL(n, C) SEAN MCAFEE 1 outline For a given finite group G, we have that the number of irreducible representations of G is equal to the number of conjugacy classes of G Although

More information

Puzzles Littlewood-Richardson coefficients and Horn inequalities

Puzzles Littlewood-Richardson coefficients and Horn inequalities Puzzles Littlewood-Richardson coefficients and Horn inequalities Olga Azenhas CMUC, Centre for Mathematics, University of Coimbra Seminar of the Mathematics PhD Program UCoimbra-UPorto Porto, 6 October

More information

Plethysm and Kronecker Products

Plethysm and Kronecker Products Plethysm and Kronecker Products p. 1 Plethysm and Kronecker Products Richard P. Stanley University of Miami and M.I.T. Plethysm and Kronecker Products p. 2 Intended audience Talk aimed at those with a

More information

Boolean Product Polynomials and the Resonance Arrangement

Boolean Product Polynomials and the Resonance Arrangement Boolean Product Polynomials and the Resonance Arrangement Sara Billey University of Washington Based on joint work with: Lou Billera and Vasu Tewari FPSAC July 17, 2018 Outline Symmetric Polynomials Schur

More information

5 Irreducible representations

5 Irreducible representations Physics 129b Lecture 8 Caltech, 01/1/19 5 Irreducible representations 5.5 Regular representation and its decomposition into irreps To see that the inequality is saturated, we need to consider the so-called

More information

Quasipolynomial formulas for the Kronecker coefficients indexed by two two row shapes (extended abstract)

Quasipolynomial formulas for the Kronecker coefficients indexed by two two row shapes (extended abstract) FPSAC 2009, Hagenberg, Austria DMTCS proc. AK, 2009, 241 252 Quasipolynomial formulas for the Kronecker coefficients indexed by two two row shapes (extended abstract) Emmanuel Briand 1, Rosa Orellana 2

More information

Cylindric Young Tableaux and their Properties

Cylindric Young Tableaux and their Properties Cylindric Young Tableaux and their Properties Eric Neyman (Montgomery Blair High School) Mentor: Darij Grinberg (MIT) Fourth Annual MIT PRIMES Conference May 17, 2014 1 / 17 Introduction Young tableaux

More information

Combinatorics for algebraic geometers

Combinatorics for algebraic geometers Combinatorics for algebraic geometers Calculations in enumerative geometry Maria Monks March 17, 214 Motivation Enumerative geometry In the late 18 s, Hermann Schubert investigated problems in what is

More information

The partial-fractions method for counting solutions to integral linear systems

The partial-fractions method for counting solutions to integral linear systems The partial-fractions method for counting solutions to integral linear systems Matthias Beck, MSRI www.msri.org/people/members/matthias/ arxiv: math.co/0309332 Vector partition functions A an (m d)-integral

More information

arxiv: v1 [math.gr] 23 Oct 2009

arxiv: v1 [math.gr] 23 Oct 2009 NONVANISHING OF KRONECKER COEFFICIENTS FOR RECTANGULAR SHAPES arxiv:0910.4512v1 [math.gr] 23 Oct 2009 PETER BÜRGISSER, MATTHIAS CHRISTANDL, AND CHRISTIAN IKENMEYER Abstract. We prove that for any partition

More information

Algebraic Number Theory and Representation Theory

Algebraic Number Theory and Representation Theory Algebraic Number Theory and Representation Theory MIT PRIMES Reading Group Jeremy Chen and Tom Zhang (mentor Robin Elliott) December 2017 Jeremy Chen and Tom Zhang (mentor Robin Algebraic Elliott) Number

More information

Since G is a compact Lie group, we can apply Schur orthogonality to see that G χ π (g) 2 dg =

Since G is a compact Lie group, we can apply Schur orthogonality to see that G χ π (g) 2 dg = Problem 1 Show that if π is an irreducible representation of a compact lie group G then π is also irreducible. Give an example of a G and π such that π = π, and another for which π π. Is this true for

More information

Definition: A grammar G = (V, T, P,S) is a context free grammar (cfg) if all productions in P have the form A x where

Definition: A grammar G = (V, T, P,S) is a context free grammar (cfg) if all productions in P have the form A x where Recitation 11 Notes Context Free Grammars Definition: A grammar G = (V, T, P,S) is a context free grammar (cfg) if all productions in P have the form A x A V, and x (V T)*. Examples Problem 1. Given the

More information

Littlewood Richardson polynomials

Littlewood Richardson polynomials Littlewood Richardson polynomials Alexander Molev University of Sydney A diagram (or partition) is a sequence λ = (λ 1,..., λ n ) of integers λ i such that λ 1 λ n 0, depicted as an array of unit boxes.

More information

REPRESENTATION THEORY WEEK 5. B : V V k

REPRESENTATION THEORY WEEK 5. B : V V k REPRESENTATION THEORY WEEK 5 1. Invariant forms Recall that a bilinear form on a vector space V is a map satisfying B : V V k B (cv, dw) = cdb (v, w), B (v 1 + v, w) = B (v 1, w)+b (v, w), B (v, w 1 +

More information

Multiplicity Free Expansions of Schur P-Functions

Multiplicity Free Expansions of Schur P-Functions Annals of Combinatorics 11 (2007) 69-77 0218-0006/07/010069-9 DOI 10.1007/s00026-007-0306-1 c Birkhäuser Verlag, Basel, 2007 Annals of Combinatorics Multiplicity Free Expansions of Schur P-Functions Kristin

More information

Discrete tomography, RSK correspondence and Kronecker products

Discrete tomography, RSK correspondence and Kronecker products Discrete tomography, RSK correspondence and Kronecker products Instituto de Matemáticas, Unidad Morelia Universidad Nacional Autónoma de México Joint work with Diana Avella-Alaminos Mathematical Foundations

More information

Littlewood-Richardson coefficients, the hive model and Horn inequalities

Littlewood-Richardson coefficients, the hive model and Horn inequalities Littlewood-Richardson coefficients, the hive model and Horn inequalities Ronald C King School of Mathematics, University of Southampton Southampton, SO7 BJ, England Presented at: SLC 6 Satellite Seminar,

More information

CSCI 340: Computational Models. Regular Expressions. Department of Computer Science

CSCI 340: Computational Models. Regular Expressions. Department of Computer Science CSCI 340: Computational Models Regular Expressions Chapter 4 Department of Computer Science Yet Another New Method for Defining Languages Given the Language: L 1 = {x n for n = 1 2 3...} We could easily

More information

A zoo of Hopf algebras

A zoo of Hopf algebras Non-Commutative Symmetric Functions I: A zoo of Hopf algebras Mike Zabrocki York University Joint work with Nantel Bergeron, Anouk Bergeron-Brlek, Emmanurel Briand, Christophe Hohlweg, Christophe Reutenauer,

More information

Diagonal Invariants of the symmetric group and products of linear forms

Diagonal Invariants of the symmetric group and products of linear forms Diagonal Invariants of the symmetric group and products of linear forms CRM, May 29, 2007 Emmanuel Briand. Universidad de Sevilla Products of linear forms= Decomposable forms K: algebraically closed field.

More information

Dilated Floor Functions and Their Commutators

Dilated Floor Functions and Their Commutators Dilated Floor Functions and Their Commutators Jeff Lagarias, University of Michigan Ann Arbor, MI, USA (December 15, 2016) Einstein Workshop on Lattice Polytopes 2016 Einstein Workshop on Lattice Polytopes

More information

Character Polynomials

Character Polynomials Character Polynomials Problem From Stanley s Positivity Problems in Algebraic Combinatorics Problem : Give a combinatorial interpretation of the row sums of the character table for S n (combinatorial proof

More information

Algebra 1 Math Year at a Glance

Algebra 1 Math Year at a Glance Real Operations Equations/Inequalities Relations/Graphing Systems Exponents/Polynomials Quadratics ISTEP+ Radicals Algebra 1 Math Year at a Glance KEY According to the Indiana Department of Education +

More information

REPRESENTATION THEORY NOTES FOR MATH 4108 SPRING 2012

REPRESENTATION THEORY NOTES FOR MATH 4108 SPRING 2012 REPRESENTATION THEORY NOTES FOR MATH 4108 SPRING 2012 JOSEPHINE YU This note will cover introductory material on representation theory, mostly of finite groups. The main references are the books of Serre

More information

CHROMATIC CLASSICAL SYMMETRIC FUNCTIONS

CHROMATIC CLASSICAL SYMMETRIC FUNCTIONS CHROMATIC CLASSICAL SYMMETRIC FUNCTIONS SOOJIN CHO AND STEPHANIE VAN WILLIGENBURG Abstract. In this note we classify when a skew Schur function is a positive linear combination of power sum symmetric functions.

More information

Plethysm of Schur Functions and Irreducible Polynomial Representations of the Complex General Linear Group

Plethysm of Schur Functions and Irreducible Polynomial Representations of the Complex General Linear Group Plethysm of Schur Functions and Irreducible Polynomial Representations of the Complex General Linear Group Rediet Abebe Harvard College Department of Mathematics March 25, 2013 Contents 1 Irreducible Polynomial

More information

INTRODUCTION TO TWISTED COMMUTATIVE ALGEBRAS

INTRODUCTION TO TWISTED COMMUTATIVE ALGEBRAS INTRODUCTION TO TWISTED COMMUTATIVE ALGEBRAS STEVEN V SAM AND ANDREW SNOWDEN Abstract. This article is an expository account of the theory of twisted commutative algebras, which simply put, can be thought

More information

The Kronecker Product of Schur Functions Indexed by Two-Row Shapes or Hook Shapes

The Kronecker Product of Schur Functions Indexed by Two-Row Shapes or Hook Shapes Journal of Algebraic Combinatorics 4 (00), 53 73 c 00 Kluwer Academic Publishers. Manufactured in The Netherlands. The Kronecker Product of Schur Functions Indexed by Two-Row Shapes or Hook Shapes MERCEDES

More information

SCHUR-WEYL DUALITY FOR U(n)

SCHUR-WEYL DUALITY FOR U(n) SCHUR-WEYL DUALITY FOR U(n) EVAN JENKINS Abstract. These are notes from a lecture given in MATH 26700, Introduction to Representation Theory of Finite Groups, at the University of Chicago in December 2009.

More information

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Prof. Tesler Math 283 Fall 2018 Also see the separate version of this with Matlab and R commands. Prof. Tesler Diagonalizing

More information

YOUNG TABLEAUX AND THE REPRESENTATIONS OF THE SYMMETRIC GROUP

YOUNG TABLEAUX AND THE REPRESENTATIONS OF THE SYMMETRIC GROUP YOUNG TABLEAUX AND THE REPRESENTATIONS OF THE SYMMETRIC GROUP YUFEI ZHAO ABSTRACT We explore an intimate connection between Young tableaux and representations of the symmetric group We describe the construction

More information

5 Quiver Representations

5 Quiver Representations 5 Quiver Representations 5. Problems Problem 5.. Field embeddings. Recall that k(y,..., y m ) denotes the field of rational functions of y,..., y m over a field k. Let f : k[x,..., x n ] k(y,..., y m )

More information

Kostka Numbers and Littlewood-Richardson Coefficients: Distributed Computation

Kostka Numbers and Littlewood-Richardson Coefficients: Distributed Computation Kostka Numbers and Littlewood-Richardson Coefficients: Distributed Computation Janvier Nzeutchap Laboratoire d Informatique de l Institut Gaspard-Monge (IGM), UMR-CNRS 8049 F-77454 Marne-la-Vallée cedex

More information

Multiplicity-Free Products of Schur Functions

Multiplicity-Free Products of Schur Functions Annals of Combinatorics 5 (2001) 113-121 0218-0006/01/020113-9$1.50+0.20/0 c Birkhäuser Verlag, Basel, 2001 Annals of Combinatorics Multiplicity-Free Products of Schur Functions John R. Stembridge Department

More information

Standard Young Tableaux Old and New

Standard Young Tableaux Old and New Standard Young Tableaux Old and New Ron Adin and Yuval Roichman Department of Mathematics Bar-Ilan University Workshop on Group Theory in Memory of David Chillag Technion, Haifa, Oct. 14 1 2 4 3 5 7 6

More information

Enumerating integer points in polytopes: applications to number theory. Matthias Beck San Francisco State University math.sfsu.

Enumerating integer points in polytopes: applications to number theory. Matthias Beck San Francisco State University math.sfsu. Enumerating integer points in polytopes: applications to number theory Matthias Beck San Francisco State University math.sfsu.edu/beck It takes a village to count integer points. Alexander Barvinok Outline

More information

ON KRONECKER PRODUCTS OF CHARACTERS OF THE SYMMETRIC GROUPS WITH FEW COMPONENTS

ON KRONECKER PRODUCTS OF CHARACTERS OF THE SYMMETRIC GROUPS WITH FEW COMPONENTS ON KRONECKER PRODUCTS OF CHARACTERS OF THE SYMMETRIC GROUPS WITH FEW COMPONENTS C. BESSENRODT AND S. VAN WILLIGENBURG Abstract. Confirming a conjecture made by Bessenrodt and Kleshchev in 1999, we classify

More information

Outline. Some Reflection Group Numerology. Root Systems and Reflection Groups. Example: Symmetries of a triangle. Paul Renteln

Outline. Some Reflection Group Numerology. Root Systems and Reflection Groups. Example: Symmetries of a triangle. Paul Renteln Outline 1 California State University San Bernardino and Caltech 2 Queen Mary University of London June 13, 2014 3 Root Systems and Reflection Groups Example: Symmetries of a triangle V an n dimensional

More information

arxiv: v2 [math.rt] 28 Aug 2018

arxiv: v2 [math.rt] 28 Aug 2018 arxiv:1808.08679v2 [math.rt] 28 Aug 2018 Tableau Correspondences and Representation Theory DIGJOY PAUL AND AMRITANSHU PRASAD The Institute of Mathematical Sciences (HBNI) Chennai ARGHYA SADHUKHAN University

More information

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Prof. Tesler Math 283 Fall 2016 Also see the separate version of this with Matlab and R commands. Prof. Tesler Diagonalizing

More information

REPRESENTATION THEORY FOR FINITE GROUPS

REPRESENTATION THEORY FOR FINITE GROUPS REPRESENTATION THEORY FOR FINITE GROUPS SHAUN TAN Abstract. We cover some of the foundational results of representation theory including Maschke s Theorem, Schur s Lemma, and the Schur Orthogonality Relations.

More information

Adjoint Representations of the Symmetric Group

Adjoint Representations of the Symmetric Group Adjoint Representations of the Symmetric Group Mahir Bilen Can 1 and Miles Jones 2 1 mahirbilencan@gmail.com 2 mej016@ucsd.edu Abstract We study the restriction to the symmetric group, S n of the adjoint

More information

OHSx XM511 Linear Algebra: Solutions to Online True/False Exercises

OHSx XM511 Linear Algebra: Solutions to Online True/False Exercises This document gives the solutions to all of the online exercises for OHSx XM511. The section ( ) numbers refer to the textbook. TYPE I are True/False. Answers are in square brackets [. Lecture 02 ( 1.1)

More information

Marisa Gaetz, Will Hardt, Shruthi Sridhar, Anh Quoc Tran. August 2, Research work from UMN Twin Cities REU 2017

Marisa Gaetz, Will Hardt, Shruthi Sridhar, Anh Quoc Tran. August 2, Research work from UMN Twin Cities REU 2017 Marisa Gaetz, Will Hardt, Shruthi Sridhar, Anh Quoc Tran Research work from UMN Twin Cities REU 2017 August 2, 2017 Overview 1 2 3 4 Schur Functions Example/Definition (Young Diagram & Semistandard Young

More information

INTRODUCTION TO REPRESENTATION THEORY AND CHARACTERS

INTRODUCTION TO REPRESENTATION THEORY AND CHARACTERS INTRODUCTION TO REPRESENTATION THEORY AND CHARACTERS HANMING ZHANG Abstract. In this paper, we will first build up a background for representation theory. We will then discuss some interesting topics in

More information

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA Kent State University Department of Mathematical Sciences Compiled and Maintained by Donald L. White Version: August 29, 2017 CONTENTS LINEAR ALGEBRA AND

More information

Operators on k-tableaux and the k-littlewood Richardson rule for a special case. Sarah Elizabeth Iveson

Operators on k-tableaux and the k-littlewood Richardson rule for a special case. Sarah Elizabeth Iveson Operators on k-tableaux and the k-littlewood Richardson rule for a special case by Sarah Elizabeth Iveson A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of

More information

Lecture 6 : Kronecker Product of Schur Functions Part I

Lecture 6 : Kronecker Product of Schur Functions Part I CS38600-1 Complexity Theory A Spring 2003 Lecture 6 : Kronecker Product of Schur Functions Part I Lecturer & Scribe: Murali Krishnan Ganapathy Abstract The irreducible representations of S n, i.e. the

More information

Top Ehrhart coefficients of integer partition problems

Top Ehrhart coefficients of integer partition problems Top Ehrhart coefficients of integer partition problems Jesús A. De Loera Department of Mathematics University of California, Davis Joint Math Meetings San Diego January 2013 Goal: Count the solutions

More information

Conjectures concerning the difference of two skew Schur functions

Conjectures concerning the difference of two skew Schur functions Conjectures concerning the difference of two skew Schur functions Peter McNamara Bucknell University Positivity in Algebraic Combinatorics Banff International Research Station 15 August 2015 Slides and

More information

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory.

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. Linear Algebra Standard matrix manipulation to compute the kernel, intersection of subspaces, column spaces,

More information

On certain family of B-modules

On certain family of B-modules On certain family of B-modules Piotr Pragacz (IM PAN, Warszawa) joint with Witold Kraśkiewicz with results of Masaki Watanabe Issai Schur s dissertation (Berlin, 1901): classification of irreducible polynomial

More information

Shifted symmetric functions I: the vanishing property, skew Young diagrams and symmetric group characters

Shifted symmetric functions I: the vanishing property, skew Young diagrams and symmetric group characters I: the vanishing property, skew Young diagrams and symmetric group characters Valentin Féray Institut für Mathematik, Universität Zürich Séminaire Lotharingien de Combinatoire Bertinoro, Italy, Sept. 11th-12th-13th

More information

PIERI S FORMULA FOR GENERALIZED SCHUR POLYNOMIALS

PIERI S FORMULA FOR GENERALIZED SCHUR POLYNOMIALS Title Pieri's formula for generalized Schur polynomials Author(s)Numata, Yasuhide CitationJournal of Algebraic Combinatorics, 26(1): 27-45 Issue Date 2007-08 Doc RL http://hdl.handle.net/2115/33803 Rights

More information

Lecture 3: Tropicalizations of Cluster Algebras Examples David Speyer

Lecture 3: Tropicalizations of Cluster Algebras Examples David Speyer Lecture 3: Tropicalizations of Cluster Algebras Examples David Speyer Let A be a cluster algebra with B-matrix B. Let X be Spec A with all of the cluster variables inverted, and embed X into a torus by

More information

Math 4377/6308 Advanced Linear Algebra

Math 4377/6308 Advanced Linear Algebra 2.3 Composition Math 4377/6308 Advanced Linear Algebra 2.3 Composition of Linear Transformations Jiwen He Department of Mathematics, University of Houston jiwenhe@math.uh.edu math.uh.edu/ jiwenhe/math4377

More information

A Formula for the Specialization of Skew Schur Functions

A Formula for the Specialization of Skew Schur Functions A Formula for the Specialization of Skew Schur Functions The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher

More information

NOTES FOR MATH 847 (REPRESENTATION STABILITY)

NOTES FOR MATH 847 (REPRESENTATION STABILITY) NOTES FOR MATH 847 (REPRESENTATION STABILITY) STEVEN V SAM Contents 1. Introduction 1 2. Representation theory 3 3. Representations of combinatorial categories 26 4. Homological stability for symmetric

More information

Ehrhart polynome: how to compute the highest degree coefficients and the knapsack problem.

Ehrhart polynome: how to compute the highest degree coefficients and the knapsack problem. Ehrhart polynome: how to compute the highest degree coefficients and the knapsack problem. Velleda Baldoni Università di Roma Tor Vergata Optimization, Moment Problems and Geometry I, IMS at NUS, Singapore-

More information

A Generating Algorithm for Ribbon Tableaux and Spin Polynomials

A Generating Algorithm for Ribbon Tableaux and Spin Polynomials Discrete Mathematics and Theoretical Computer Science DMTCS vol. 9:, 007, 5 58 A Generating Algorithm for Ribbon Tableaux and Spin Polynomials Francois Descouens Institut Gaspard Monge, Université de Marne-la-Vallée

More information

Math 315: Linear Algebra Solutions to Assignment 7

Math 315: Linear Algebra Solutions to Assignment 7 Math 5: Linear Algebra s to Assignment 7 # Find the eigenvalues of the following matrices. (a.) 4 0 0 0 (b.) 0 0 9 5 4. (a.) The characteristic polynomial det(λi A) = (λ )(λ )(λ ), so the eigenvalues are

More information

A minimaj-preserving crystal structure on ordered multiset partitions

A minimaj-preserving crystal structure on ordered multiset partitions Séminaire Lotharingien de Combinatoire 80B (018) Article #1, 1 pp. Proceedings of the 30 th Conference on Formal Power Series and Algebraic Combinatorics (Hanover) A minimaj-preserving crystal structure

More information

CMPSCI 240: Reasoning about Uncertainty

CMPSCI 240: Reasoning about Uncertainty CMPSCI 240: Reasoning about Uncertainty Lecture 7: More Advanced Counting Andrew McGregor University of Massachusetts Last Compiled: February 21, 2017 Outline 1 Recap 2 Partitions 3 More Examples 4 Clicker

More information

NOTES FOR MATH 740 (SYMMETRIC FUNCTIONS)

NOTES FOR MATH 740 (SYMMETRIC FUNCTIONS) NOTES FOR MATH 740 (SYMMETRIC FUNCTIONS) STEVEN V SAM Contents 1. Definition and motivation 1 2. Bases 5 3. Schur functions and the RSK algorithm 14 4. Representation theory of the symmetric groups 27

More information

h r t r 1 (1 x i=1 (1 + x i t). e r t r = i=1 ( 1) i e i h r i = 0 r 1.

h r t r 1 (1 x i=1 (1 + x i t). e r t r = i=1 ( 1) i e i h r i = 0 r 1. . Four definitions of Schur functions.. Lecture : Jacobi s definition (ca 850). Fix λ = (λ λ n and X = {x,...,x n }. () a α = det ( ) x α i j for α = (α,...,α n ) N n (2) Jacobi s def: s λ = a λ+δ /a δ

More information

FLAC Context-Free Grammars

FLAC Context-Free Grammars FLAC Context-Free Grammars Klaus Sutner Carnegie Mellon Universality Fall 2017 1 Generating Languages Properties of CFLs Generation vs. Recognition 3 Turing machines can be used to check membership in

More information

Algebraic Expressions

Algebraic Expressions Algebraic Expressions Mathematics is often defined as the science of space and number. it was not until the recent resonance of computers and mathematics that a more apt definition became fully evident:

More information

GEOMETRIC COMPLEXITY THEORY IV: NONSTANDARD QUANTUM GROUP FOR THE KRONECKER PROBLEM

GEOMETRIC COMPLEXITY THEORY IV: NONSTANDARD QUANTUM GROUP FOR THE KRONECKER PROBLEM GEOMETRIC COMPLEXITY THEORY IV: NONSTANDARD QUANTUM GROUP FOR THE KRONECKER PROBLEM JONAH BLASIAK, KETAN D. MULMULEY, AND MILIND SOHONI Dedicated to Sri Ramakrishna Abstract. The Kronecker coefficient

More information

arxiv: v1 [math.rt] 5 Aug 2016

arxiv: v1 [math.rt] 5 Aug 2016 AN ALGEBRAIC FORMULA FOR THE KOSTKA-FOULKES POLYNOMIALS arxiv:1608.01775v1 [math.rt] 5 Aug 2016 TIMOTHEE W. BRYAN, NAIHUAN JING Abstract. An algebraic formula for the Kostka-Foukles polynomials is given

More information

The Littlewood-Richardson Rule

The Littlewood-Richardson Rule REPRESENTATIONS OF THE SYMMETRIC GROUP The Littlewood-Richardson Rule Aman Barot B.Sc.(Hons.) Mathematics and Computer Science, III Year April 20, 2014 Abstract We motivate and prove the Littlewood-Richardson

More information

EE/ACM Applications of Convex Optimization in Signal Processing and Communications Lecture 2

EE/ACM Applications of Convex Optimization in Signal Processing and Communications Lecture 2 EE/ACM 150 - Applications of Convex Optimization in Signal Processing and Communications Lecture 2 Andre Tkacenko Signal Processing Research Group Jet Propulsion Laboratory April 5, 2012 Andre Tkacenko

More information

Kostka multiplicity one for multipartitions

Kostka multiplicity one for multipartitions Kostka multiplicity one for multipartitions James Janopaul-Naylor and C. Ryan Vinroot Abstract If [λ(j)] is a multipartition of the positive integer n (a sequence of partitions with total size n), and

More information

RCC. Drew Armstrong. FPSAC 2017, Queen Mary, London. University of Miami armstrong

RCC. Drew Armstrong. FPSAC 2017, Queen Mary, London. University of Miami   armstrong RCC Drew Armstrong University of Miami www.math.miami.edu/ armstrong FPSAC 2017, Queen Mary, London Outline of the Talk 1. The Frobenius Coin Problem 2. Rational Dyck Paths 3. Core Partitions 4. The Double

More information

The (q, t)-catalan Numbers and the Space of Diagonal Harmonics. James Haglund. University of Pennsylvania

The (q, t)-catalan Numbers and the Space of Diagonal Harmonics. James Haglund. University of Pennsylvania The (q, t)-catalan Numbers and the Space of Diagonal Harmonics James Haglund University of Pennsylvania Outline Intro to q-analogues inv and maj q-catalan Numbers MacMahon s q-analogue The Carlitz-Riordan

More information

Mon Mar matrix eigenspaces. Announcements: Warm-up Exercise:

Mon Mar matrix eigenspaces. Announcements: Warm-up Exercise: Math 227-4 Week notes We will not necessarily finish the material from a given day's notes on that day We may also add or subtract some material as the week progresses, but these notes represent an in-depth

More information

WOMP 2001: LINEAR ALGEBRA. 1. Vector spaces

WOMP 2001: LINEAR ALGEBRA. 1. Vector spaces WOMP 2001: LINEAR ALGEBRA DAN GROSSMAN Reference Roman, S Advanced Linear Algebra, GTM #135 (Not very good) Let k be a field, eg, R, Q, C, F q, K(t), 1 Vector spaces Definition A vector space over k is

More information

A Plethysm Formula for p µ (x) h λ (x) William F. Doran IV

A Plethysm Formula for p µ (x) h λ (x) William F. Doran IV A Plethysm Formula for p µ (x) h λ (x) William F. Doran IV Department of Mathematics California Institute of Technology Pasadena, CA 925 doran@cco.caltech.edu Submitted: September 0, 996; Accepted: May

More information

x + 2y + 3z = 8 x + 3y = 7 x + 2z = 3

x + 2y + 3z = 8 x + 3y = 7 x + 2z = 3 Chapter 2: Solving Linear Equations 23 Elimination Using Matrices As we saw in the presentation, we can use elimination to make a system of linear equations into an upper triangular system that is easy

More information

SHIFTED K-THEORETIC POIRIER-REUTENAUER BIALGEBRA

SHIFTED K-THEORETIC POIRIER-REUTENAUER BIALGEBRA SHIFTED K-THEORETIC POIRIER-REUTENAUER BIALGEBRA ADAM KEILTHY, REBECCA PATRIAS, LILLIAN WEBSTER, YINUO ZHANG, SHUQI ZHOU Abstract We use shifted K-theoretic jeu de taquin to show that the weak K-Knuth

More information

A Murnaghan-Nakayama Rule for k-schur Functions

A Murnaghan-Nakayama Rule for k-schur Functions A Murnaghan-Nakayama Rule for k-schur Functions Anne Schilling (joint work with Jason Bandlow, Mike Zabrocki) University of California, Davis October 31, 2012 Outline History The Murnaghan-Nakayama rule

More information

Topological Matter, Strings, K-theory and related areas September 2016

Topological Matter, Strings, K-theory and related areas September 2016 Topological Matter, Strings, K-theory and related areas 26 30 September 2016 This talk is based on joint work with from Caltech. Outline 1. A string theorist s view of 2. Mixed Hodge polynomials associated

More information

Notes on nilpotent orbits Computational Theory of Real Reductive Groups Workshop. Eric Sommers

Notes on nilpotent orbits Computational Theory of Real Reductive Groups Workshop. Eric Sommers Notes on nilpotent orbits Computational Theory of Real Reductive Groups Workshop Eric Sommers 17 July 2009 2 Contents 1 Background 5 1.1 Linear algebra......................................... 5 1.1.1

More information

Words generated by cellular automata

Words generated by cellular automata Words generated by cellular automata Eric Rowland University of Waterloo (soon to be LaCIM) November 25, 2011 Eric Rowland (Waterloo) Words generated by cellular automata November 25, 2011 1 / 38 Outline

More information

The Kadison-Singer Conjecture

The Kadison-Singer Conjecture The Kadison-Singer Conjecture John E. McCarthy April 8, 2006 Set-up We are given a large integer N, and a fixed basis {e i : i N} for the space H = C N. We are also given an N-by-N matrix H that has all

More information

Computing the continuous discretely: The magic quest for a volume

Computing the continuous discretely: The magic quest for a volume Computing the continuous discretely: The magic quest for a volume Matthias Beck San Francisco State University math.sfsu.edu/beck Joint work with... Dennis Pixton (Birkhoff volume) Ricardo Diaz and Sinai

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors Eigenvalues and Eigenvectors week -2 Fall 26 Eigenvalues and eigenvectors The most simple linear transformation from R n to R n may be the transformation of the form: T (x,,, x n ) (λ x, λ 2,, λ n x n

More information

Ehrhart polynomial for lattice squares, cubes, and hypercubes

Ehrhart polynomial for lattice squares, cubes, and hypercubes Ehrhart polynomial for lattice squares, cubes, and hypercubes Eugen J. Ionascu UWG, REU, July 10th, 2015 math@ejionascu.ro, www.ejionascu.ro 1 Abstract We are investigating the problem of constructing

More information

Dimension. Eigenvalue and eigenvector

Dimension. Eigenvalue and eigenvector Dimension. Eigenvalue and eigenvector Math 112, week 9 Goals: Bases, dimension, rank-nullity theorem. Eigenvalue and eigenvector. Suggested Textbook Readings: Sections 4.5, 4.6, 5.1, 5.2 Week 9: Dimension,

More information

Shifted symmetric functions II: expansions in multi-rectangular coordinates

Shifted symmetric functions II: expansions in multi-rectangular coordinates Shifted symmetric functions II: expansions in multi-rectangular coordinates Valentin Féray Institut für Mathematik, Universität Zürich Séminaire Lotharingien de Combinatoire Bertinoro, Italy, Sept. 11th-12th-13th

More information

REPRESENTATION THEORY OF THE SYMMETRIC GROUP (FOLLOWING [Ful97])

REPRESENTATION THEORY OF THE SYMMETRIC GROUP (FOLLOWING [Ful97]) REPRESENTATION THEORY OF THE SYMMETRIC GROUP (FOLLOWING [Ful97]) MICHAEL WALTER. Diagrams and Tableaux Diagrams and Tableaux. A (Young) diagram λ is a partition of a natural number n 0, which we often

More information

Multiplicity free actions of simple algebraic groups

Multiplicity free actions of simple algebraic groups Multiplicity free actions of simple algebraic groups D. Testerman (with M. Liebeck and G. Seitz) EPF Lausanne Edinburgh, April 2016 D. Testerman (with M. Liebeck and G. Seitz) (EPF Lausanne) Multiplicity

More information

Research Statement. Edward Richmond. October 13, 2012

Research Statement. Edward Richmond. October 13, 2012 Research Statement Edward Richmond October 13, 2012 Introduction My mathematical interests include algebraic combinatorics, algebraic geometry and Lie theory. In particular, I study Schubert calculus,

More information

On the calculation of inner products of Schur functions

On the calculation of inner products of Schur functions 172 J.A. Castilho Alcarás and V.K.B. Kota On the calculation of inner products of Schur functions J.A. Castilho Alcarás Instituto de Física Teórica, Universidade Estadual Paulista, UNESP, 01140-070, São

More information

The Binomial Theorem.

The Binomial Theorem. The Binomial Theorem RajeshRathod42@gmail.com The Problem Evaluate (A+B) N as a polynomial in powers of A and B Where N is a positive integer A and B are numbers Example: (A+B) 5 = A 5 +5A 4 B+10A 3 B

More information

Kostka multiplicity one for multipartitions

Kostka multiplicity one for multipartitions Kostka multiplicity one for multipartitions James Janopaul-Naylor and C. Ryan Vinroot Abstract If [λ(j)] is a multipartition of the positive integer n (a sequence of partitions with total size n), and

More information

CS Automata, Computability and Formal Languages

CS Automata, Computability and Formal Languages Automata, Computability and Formal Languages Luc Longpré faculty.utep.edu/longpre 1 - Pg 1 Slides : version 3.1 version 1 A. Tapp version 2 P. McKenzie, L. Longpré version 2.1 D. Gehl version 2.2 M. Csűrös,

More information

Twisted commutative algebras and related structures

Twisted commutative algebras and related structures Twisted commutative algebras and related structures Steven Sam University of California, Berkeley April 15, 2015 1/29 Matrices Fix vector spaces V and W and let X = V W. For r 0, let X r be the set of

More information