Algebraic Combinatorics

💁🏽Algebraic Combinatorics Unit 10 – Tableaux and Schur Functions in Combinatorics

Tableaux and Schur functions are fundamental tools in algebraic combinatorics. They provide a bridge between the combinatorics of Young diagrams and the representation theory of symmetric and general linear groups. These concepts have wide-ranging applications in mathematics and beyond. From algebraic geometry to quantum computing, tableaux and Schur functions offer powerful methods for solving problems in diverse fields.

Key Concepts and Definitions

  • Partition: a non-increasing sequence of positive integers λ=(λ1,λ2,,λk)\lambda = (\lambda_1, \lambda_2, \ldots, \lambda_k) where λ1λ2λk>0\lambda_1 \geq \lambda_2 \geq \ldots \geq \lambda_k > 0
  • Young diagram: a graphical representation of a partition, consisting of left-justified rows of boxes with λi\lambda_i boxes in the ii-th row
    • Conjugate partition λ\lambda': obtained by transposing the Young diagram of λ\lambda, i.e., swapping rows and columns
  • Young tableau: a Young diagram filled with positive integers that are strictly increasing along rows and weakly increasing down columns
    • Standard Young tableau (SYT): a Young tableau with entries 1,2,,n1, 2, \ldots, n, each appearing exactly once
  • Schur function sλ(x1,,xn)s_\lambda(x_1, \ldots, x_n): a symmetric polynomial associated with a partition λ\lambda, defined as a sum over all semistandard Young tableaux of shape λ\lambda
    • Schur functions form a basis for the ring of symmetric polynomials
  • Kostka number Kλ,μK_{\lambda,\mu}: the number of semistandard Young tableaux of shape λ\lambda and content μ\mu
  • Littlewood-Richardson coefficient cλ,μνc_{\lambda,\mu}^\nu: the number of Littlewood-Richardson tableaux of shape ν/λ\nu/\lambda and content μ\mu, which appears in the product of Schur functions sλsμ=νcλ,μνsνs_\lambda \cdot s_\mu = \sum_\nu c_{\lambda,\mu}^\nu s_\nu

Historical Context and Development

  • Tableaux and Schur functions have roots in the work of Alfred Young (1873-1940) and Issai Schur (1875-1941) in the early 20th century
  • Young introduced the concept of Young tableaux in his study of the symmetric group and the representation theory of SnS_n
  • Schur developed Schur functions as characters of polynomial representations of the general linear group GL(n)GL(n)
  • The Littlewood-Richardson rule, discovered by Dudley Littlewood and Archibald Richardson in the 1930s, provides a combinatorial interpretation of the product of Schur functions
  • The Robinson-Schensted-Knuth (RSK) correspondence, developed by Gilbert de Beauregard Robinson, Craige Schensted, and Donald Knuth, establishes a bijection between permutations and pairs of standard Young tableaux
  • The Schützenberger involution, introduced by Marcel-Paul Schützenberger in the 1960s, is a fundamental operation on Young tableaux that relates to the RSK correspondence and the Littlewood-Richardson rule
  • The study of tableaux and Schur functions has grown to encompass connections with various areas of mathematics, including representation theory, algebraic geometry, and enumerative combinatorics

Young Tableaux Fundamentals

  • A Young tableau is a filling of a Young diagram with positive integers that follow specific rules
    • Entries strictly increase from left to right along rows
    • Entries weakly increase from top to bottom down columns
  • The shape of a Young tableau is the underlying partition λ\lambda, while the content is the composition μ=(μ1,μ2,)\mu = (\mu_1, \mu_2, \ldots) where μi\mu_i is the number of occurrences of ii in the tableau
  • A standard Young tableau (SYT) is a Young tableau with entries 1,2,,n1, 2, \ldots, n, each appearing exactly once
    • The number of SYT of shape λ\lambda is given by the famous Hook Length Formula: fλ=n!uλh(u)f^\lambda = \frac{n!}{\prod_{u \in \lambda} h(u)}, where h(u)h(u) is the hook length of the cell uu
  • Semistandard Young tableaux (SSYT) allow for repeated entries but maintain the increasing conditions along rows and columns
    • The number of SSYT of shape λ\lambda and content μ\mu is the Kostka number Kλ,μK_{\lambda,\mu}
  • The Robinson-Schensted-Knuth (RSK) correspondence establishes a bijection between permutations of SnS_n and pairs of SYT of the same shape with nn boxes
  • Jeu de taquin is a sliding operation on Young tableaux that preserves the tableau properties and plays a crucial role in the Littlewood-Richardson rule and the Schützenberger involution

Schur Functions: Introduction and Properties

  • Schur functions sλ(x1,,xn)s_\lambda(x_1, \ldots, x_n) are a family of symmetric polynomials indexed by partitions λ\lambda
    • They form a basis for the ring of symmetric polynomials Λn=Z[x1,,xn]Sn\Lambda_n = \mathbb{Z}[x_1, \ldots, x_n]^{S_n}
  • Schur functions can be defined in several equivalent ways:
    • As a sum over all semistandard Young tableaux of shape λ\lambda: sλ=TxTs_\lambda = \sum_{T} x^T, where xT=x1μ1x2μ2x^T = x_1^{\mu_1} x_2^{\mu_2} \cdots and μ\mu is the content of TT
    • As a ratio of alternants: sλ=aλ+δaδs_\lambda = \frac{a_{\lambda+\delta}}{a_\delta}, where aα=det(xiαj)1i,jna_\alpha = \det(x_i^{\alpha_j})_{1 \leq i,j \leq n} and δ=(n1,n2,,1,0)\delta = (n-1, n-2, \ldots, 1, 0)
    • As a specialization of the Hall-Littlewood polynomial: sλ=Pλ(x;0)s_\lambda = P_\lambda(x; 0)
  • Schur functions satisfy several important properties:
    • Stability: sλ(x1,,xn,0)=sλ(x1,,xn)s_\lambda(x_1, \ldots, x_n, 0) = s_\lambda(x_1, \ldots, x_n)
    • Orthogonality: sλ,sμ=δλ,μ\langle s_\lambda, s_\mu \rangle = \delta_{\lambda,\mu} with respect to the Hall inner product
    • Cauchy identity: λsλ(x)sλ(y)=i,j(1xiyj)1\sum_{\lambda} s_\lambda(x) s_\lambda(y) = \prod_{i,j} (1 - x_i y_j)^{-1}
  • The product of Schur functions can be expanded using the Littlewood-Richardson coefficients: sλsμ=νcλ,μνsνs_\lambda \cdot s_\mu = \sum_\nu c_{\lambda,\mu}^\nu s_\nu
    • The coefficients cλ,μνc_{\lambda,\mu}^\nu count the number of Littlewood-Richardson tableaux of shape ν/λ\nu/\lambda and content μ\mu

Connections to Representation Theory

  • Schur functions are deeply connected to the representation theory of the symmetric group SnS_n and the general linear group GL(n)GL(n)
  • The irreducible representations of SnS_n are indexed by partitions λ\lambda of nn, and their characters are given by the Schur functions sλs_\lambda
    • The dimension of the irreducible representation corresponding to λ\lambda is the number of standard Young tableaux of shape λ\lambda
  • The polynomial representations of GL(n)GL(n) are also indexed by partitions λ\lambda, and their characters are the Schur functions sλ(x1,,xn)s_\lambda(x_1, \ldots, x_n)
    • The dimension of the polynomial representation corresponding to λ\lambda is the number of semistandard Young tableaux of shape λ\lambda with entries from {1,,n}\{1, \ldots, n\}
  • The Littlewood-Richardson coefficients cλ,μνc_{\lambda,\mu}^\nu appear in the decomposition of tensor products of irreducible representations of GL(n)GL(n): VλVμ=νcλ,μνVνV_\lambda \otimes V_\mu = \bigoplus_\nu c_{\lambda,\mu}^\nu V_\nu
  • The Kostka numbers Kλ,μK_{\lambda,\mu} are the multiplicities of the weight μ\mu in the polynomial representation corresponding to λ\lambda
  • The RSK correspondence provides a combinatorial realization of the decomposition of the regular representation of SnS_n into irreducible representations
  • The Schur-Weyl duality relates the representations of SnS_n and GL(n)GL(n) through their actions on tensor powers of the fundamental representation of GL(n)GL(n)

Algorithms and Computational Techniques

  • Computing Kostka numbers and Littlewood-Richardson coefficients is a central problem in the combinatorics of tableaux and Schur functions
  • The Littlewood-Richardson rule provides a combinatorial method to compute cλ,μνc_{\lambda,\mu}^\nu by enumerating Littlewood-Richardson tableaux
    • Efficient algorithms exist for generating Littlewood-Richardson tableaux, such as the Remmel-Whitney algorithm and the rectification-based approach using jeu de taquin
  • The RSK correspondence can be used to compute Kostka numbers by enumerating semistandard Young tableaux
    • The Schensted insertion algorithm and its variations (e.g., Edelman-Greene insertion) provide efficient methods to construct the RSK correspondence
  • The hook-content formula expresses Kostka numbers as a sum over the cells of the Young diagram: Kλ,μ=uλc(u)h(u)K_{\lambda,\mu} = \prod_{u \in \lambda} \frac{c(u)}{h(u)}, where c(u)c(u) is the content of the cell uu
  • Combinatorial interpretations of Schur functions lead to efficient algorithms for their computation
    • The Jacobi-Trudi formula expresses Schur functions as determinants of complete homogeneous symmetric polynomials
    • The dual Jacobi-Trudi formula expresses Schur functions as determinants of elementary symmetric polynomials
  • The Murnaghan-Nakayama rule provides a combinatorial formula for the characters of the symmetric group in terms of ribbon tableaux
  • The Lascoux-Schützenberger charge statistic on tableaux gives a combinatorial interpretation of the Hall-Littlewood polynomials and their connection to Kostka-Foulkes polynomials
  • Tableaux and Schur functions have found numerous applications in various areas of mathematics and beyond
  • In algebraic geometry, Schur functions appear as representatives of Schubert classes in the cohomology of Grassmannians and flag varieties
    • The Littlewood-Richardson coefficients describe the structure constants of the cohomology ring with respect to the Schubert basis
  • In enumerative combinatorics, tableaux and Schur functions are used to count various combinatorial objects, such as plane partitions, alternating sign matrices, and lattice paths
    • The Stanley formula expresses the number of reduced words for a permutation in terms of standard Young tableaux
  • In the theory of symmetric functions, Schur functions serve as a fundamental basis and are connected to other important bases, such as monomial, power-sum, and elementary symmetric functions through transition matrices
  • In quantum computing, Schur-Weyl duality is used to study the representation theory of the unitary group and its connection to quantum error correction codes
  • In statistical mechanics, Schur functions appear in the study of integrable systems, such as the Toda lattice and the KP hierarchy
  • In random matrix theory, Schur functions are used to describe the eigenvalue distribution of certain random matrix ensembles, such as the Wishart-Laguerre ensemble

Advanced Topics and Current Research

  • The Kazhdan-Lusztig theory provides a geometric interpretation of the representation theory of Hecke algebras and the computation of Kazhdan-Lusztig polynomials using the Bruhat order on the symmetric group
  • The Knutson-Tao puzzles give a combinatorial interpretation of the Littlewood-Richardson coefficients in terms of triangular puzzles, which has connections to Belkale-Kumar coefficients and the cohomology of flag varieties
  • The Fomin-Kirillov algebra, also known as the Yang-Baxter algebra, is a quadratic algebra that generalizes the Bruhat order on the symmetric group and has applications in the study of Schubert polynomials and Grothendieck polynomials
  • The theory of crystal bases, developed by Kashiwara, provides a combinatorial framework for studying representations of quantum groups and their connections to tableaux and Schur functions
  • The Macdonald polynomials are a two-parameter generalization of Schur functions that have deep connections to affine Hecke algebras, double affine Hecke algebras, and the Macdonald-Koornwinder theory
  • The study of kk-Schur functions and affine Schur functions has led to new developments in the combinatorics of cores and quotients, as well as connections to the affine Grassmannian and the Peterson isomorphism
  • The equivariant cohomology of Grassmannians and flag varieties has been a subject of intense research, with connections to Schubert calculus, quantum cohomology, and the geometry of Shimura varieties
  • The asymptotic behavior of Kostka numbers and Littlewood-Richardson coefficients has been studied using techniques from representation theory, algebraic geometry, and random matrix theory, leading to new results on their growth rates and limiting distributions


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.