Young tableaux are powerful tools in algebraic combinatorics, representing partitions as diagrams filled with numbers. They come in two main types: standard tableaux, using each number once, and semistandard tableaux, allowing repeats. These structures are crucial for understanding symmetries and patterns.

Young tableaux have wide-ranging applications in math and physics. They're key to studying symmetric group representations, symmetric functions, and crystal bases. Their properties and operations, like the , reveal deep connections between seemingly unrelated mathematical concepts.

Standard vs Semistandard Young Tableaux

Definitions and Properties

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  • A Young tableau fills the boxes of a with positive integers that are weakly increasing across rows and strictly increasing down columns
  • A has the additional property that the filling must use each number from 1 to n exactly once, where n is the number of boxes
  • A allows repeated entries, but they must still increase weakly across rows and strictly down columns
  • The shape of a Young tableau is the underlying Young diagram, represented by a partition λ = (λ₁, λ₂, ..., λₖ)
    • For example, the partition (4, 2, 1) represents a Young diagram with 4 boxes in the first row, 2 in the second, and 1 in the third
  • The of a tableau is the composition α = (α₁, α₂, ...) where αᵢ counts the number of occurrences of i in the tableau
    • For instance, a tableau with content (2, 1, 3) has two 1s, one 2, and three 3s

Schützenberger Involution

  • The Schützenberger involution is an operation on semistandard tableaux that preserves the shape but changes the content
  • It is defined by a sequence of that move the largest entry to the southeast corner, the second largest to the next southeast corner, and so on
  • The Schützenberger involution is an involution, meaning that applying it twice returns the original tableau
  • It has important applications in the theory of crystal bases and the

Constructing Young Tableaux

Constructing Standard Young Tableaux

  • To construct a standard Young tableau, fill the boxes with the numbers 1 to n so that entries increase along rows and down columns
  • The number of standard Young tableaux of shape λ is given by the Hook Length Formula
    • The Hook Length Formula states that the number of standard tableaux is n! divided by the product of all hook lengths in the diagram
    • For example, the hook lengths of the partition (3, 2) are 4, 2, 1, 3, 1, so the number of standard tableaux is 5!/(4 * 2 * 1 * 3 * 1) = 5

Constructing Semistandard Young Tableaux

  • To construct a semistandard Young tableau, fill the boxes with positive integers so that entries weakly increase along rows and strictly increase down columns
  • The Schensted Insertion Algorithm can be used to insert a positive integer into a semistandard tableau, bumping entries to maintain the semistandard property
    • For instance, inserting 3 into the first row of [[1, 2, 2], [2, 3]] bumps the 2 to the second row, bumps the 3 to a new row, and inserts 3 into the vacated box, yielding [[1, 2, 3], [2], [3]]
  • The Robinson-Schensted-Knuth (RSK) correspondence bijectively maps matrices with non-negative integer entries to pairs of semistandard tableaux of the same shape
    • The row-insertion tableau is constructed by inserting the entries of each row of the matrix, while the column-recording tableau tracks which row each new box originated from
    • For example, the matrix [[1, 0, 2], [0, 1, 1]] maps to the pair ([[1, 2, 2], [3]], [[1, 1, 2], [2]])

Enumerating Young Tableaux

Standard Young Tableaux

  • The number of standard Young tableaux of shape λ is given by the Hook Length Formula: n! divided by the product of all hook lengths in the diagram
  • The hook length of a box is the number of boxes directly below or directly to the right of it in the diagram, including the box itself
    • In the diagram of (3, 2), the hook lengths are 4, 2, 1 in the first row and 3, 1 in the second row
  • There are simple formulas for the number of standard tableaux of certain shapes, such as rectangles (the binomial coefficient) and staircases (the Catalan numbers)

Semistandard Young Tableaux

  • The number of semistandard Young tableaux of shape λ with content α is given by the K_{λ,α}
  • Kostka numbers can be computed using the , which involves a sum over the Weyl group
    • For the partition (2, 1) and content (2, 1), the Weyl group S_3 has elements {1, s_1, s_2, s_1s_2, s_2s_1, s_1s_2s_1}, and the Kostant partition function yields K_{(2,1),(2,1)} = 2
  • The generating function for Kostka numbers is given by the s_λ(x₁, x₂, ...)
    • The coefficient of x₁^α₁ x₂^α₂ ... in s_λ is the Kostka number K_{λ,α}
    • For example, s_{(2,1)}(x₁, x₂) = x₁^2 x₂ + x₁ x₂^2, so K_{(2,1),(2,1)} = 1 and K_{(2,1),(1,2)} = 1

Applications of Young Tableaux

Representation Theory

  • The of the symmetric group S_n are indexed by partitions of n, with the dimension given by the number of standard Young tableaux of that shape
    • For instance, the partition (3, 1) of 4 corresponds to the irreducible representation of S_4 of dimension 3
  • The S^λ is a construction of the irreducible representation corresponding to λ, with a basis indexed by standard tableaux of shape λ
    • The action of a permutation on a tableau is given by applying it to the entries, then straightening the resulting filling using jeu de taquin slides
    • For example, in S^(3,1), the permutation (1 2) sends the standard tableau [[1, 2, 3], [4]] to [[1, 2, 4], [3]]

Symmetric Functions

  • The Schur polynomials s_λ form a basis for the ring of symmetric functions and can be defined as the generating functions for semistandard tableaux of shape λ
    • The coefficient of x₁^α₁ x₂^α₂ ... in s_λ is the number of semistandard tableaux of shape λ and content α
    • For example, s_{(2,1)}(x₁, x₂) = x₁^2 x₂ + x₁ x₂^2 + x₁^3 + x₂^3, corresponding to the tableaux [[1,1],[2]], [[1,2],[2]], [[1,1],[1]], and [[2,2],[2]]
  • The expresses the product of two Schur polynomials as a sum of Schur polynomials, with coefficients given by Littlewood-Richardson tableaux
    • A Littlewood-Richardson tableau is a semistandard tableau whose reverse reading word is a lattice permutation
    • For example, s_{(2,1)} s_{(1)} = s_{(3,1)} + s_{(2,2)} + s_{(2,1,1)}, as seen from the tableaux [[1,1,2],[3]], [[1,1],[2,3]], and [[1,3],[2],[3]]
  • The RSK correspondence gives a bijective proof of the , which expresses a sum of products of Schur polynomials as a product of sums
    • Applying RSK to a matrix M yields a pair of tableaux (P(M), Q(M)), and the sum over all M of x^M y^{P(M)} z^{Q(M)} is the Cauchy identity
  • The and for Schur polynomials can be proven using semistandard tableaux and Schensted insertion
    • The Pieri Rule states that s_λ s_{(k)} is the sum of all s_μ where μ/λ is a horizontal strip of size k
    • The Branching Rule states that s_λ(x₁, ..., x_n) is the sum of all s_μ(x₁, ..., x_{n-1}) where λ/μ is a valid skew shape

Key Terms to Review (28)

Backward algorithm: The backward algorithm is a dynamic programming technique used to efficiently compute probabilities in hidden Markov models (HMMs). It works by calculating the likelihood of a sequence of observations given a set of hidden states, proceeding from the end of the observation sequence to the beginning. This method simplifies the computation of probabilities by breaking down complex problems into simpler, manageable subproblems.
Branching rule: The branching rule is a combinatorial principle that describes how to decompose the representation of a symmetric group into smaller representations associated with partitions. This rule is particularly useful for understanding how standard and semistandard Young tableaux can be constructed and analyzed, allowing for the systematic counting and organization of combinatorial objects linked to these representations.
Bumping algorithm: The bumping algorithm is a combinatorial procedure used to build standard and semistandard Young tableaux by placing numbers in a systematic way. This algorithm works by 'bumping' entries in the tableau when a new number is added, ensuring that the resulting tableau maintains the desired properties, such as increasing rows and columns for standard tableaux or non-decreasing rows for semistandard tableaux. It is crucial for understanding how tableaux can represent permutations and partitions in algebraic combinatorics.
Cauchy Identity: The Cauchy identity is a combinatorial formula that expresses the product of generating functions in terms of symmetric functions, particularly relating to the expansion of products of two power series. This identity plays a significant role in connecting symmetric functions with representations of the symmetric group, as well as providing insights into the structure of tableaux and polynomial representations.
Column-strict: Column-strict refers to a specific condition in Young tableaux where each column of the tableau contains entries that are strictly increasing from top to bottom. This property ensures that no two entries in the same column are equal, which distinguishes column-strict tableaux from other types of tableaux. Understanding this concept is crucial for analyzing the structure and combinatorial properties of semistandard Young tableaux and their applications in representation theory and symmetric functions.
Content: In the context of Young Tableaux, the content of a partition refers to the sum of the entries in a given standard or semistandard Young tableau. This concept is significant as it helps to determine the structure and properties of the tableau, influencing how tableaux can be arranged and manipulated for combinatorial purposes.
Geometry of Algebraic Varieties: The geometry of algebraic varieties refers to the study of the geometric properties and structures that arise from solutions to polynomial equations. This area connects algebra and geometry, highlighting how algebraic structures can be visualized in geometric terms, which is crucial in understanding relationships and patterns. By analyzing varieties, mathematicians can gain insights into symmetries, dimensions, and intersections that reveal deeper algebraic properties.
Hook-length formula: The hook-length formula is a mathematical tool used to count the number of standard Young tableaux of a given shape. It provides a way to calculate the number of distinct ways to fill a Young diagram with integers from 1 to n, ensuring that the numbers increase across rows and down columns. This formula connects deeply with various topics, showing how combinatorial structures relate to symmetric functions and representation theory.
Increasing filling: Increasing filling refers to a specific way of arranging numbers within a Young tableau where the numbers increase across each row and down each column. This concept is crucial for understanding standard and semistandard Young tableaux, as it ensures that the filling respects the necessary order conditions, contributing to the structure and combinatorial properties of these tableaux.
Irreducible representations: Irreducible representations are representations of a group that cannot be decomposed into smaller representations. In essence, they serve as the building blocks for understanding how groups act on vector spaces. Recognizing irreducible representations is crucial for studying symmetries and their geometric implications, as they directly relate to the structure of both standard and semistandard Young tableaux, as well as representation theory's connection to geometry.
Jeu de taquin slides: Jeu de taquin slides are a set of operations used to manipulate Young tableaux, particularly in the context of standard and semistandard Young tableaux. These operations involve sliding entries in the tableau to create new tableaux while preserving certain properties like shape and weight. Understanding jeu de taquin slides is crucial for studying the relationships between different tableaux and for exploring their combinatorial structures.
Kostant Multiplicity Formula: The Kostant multiplicity formula provides a way to calculate the multiplicities of irreducible representations of a semisimple Lie algebra in a given highest weight representation. This formula plays a crucial role in understanding how representations are structured and how they can be decomposed into simpler components, particularly in relation to Young tableaux, which help visualize the weight spaces of these representations.
Kostka number: A Kostka number is a non-negative integer that counts the number of semistandard Young tableaux of a given shape and content. These tableaux are arrangements of numbers that obey specific rules, allowing for the connection between combinatorics and representation theory. Kostka numbers serve as important tools in the study of symmetric functions, providing insights into how certain polynomial representations can be expressed in terms of simpler components.
Littlewood-Richardson Rule: The Littlewood-Richardson Rule is a combinatorial method used to compute the coefficients that appear when expanding the product of two Schur functions in terms of a basis of Schur functions. This rule is crucial for understanding how representations of symmetric groups can be expressed through Young tableaux and plays a vital role in algebraic combinatorics.
Non-decreasing filling: Non-decreasing filling refers to a way of arranging numbers in a Young tableau such that each row and each column is filled with numbers that do not decrease as you move right across a row or down a column. This concept is crucial for understanding the structure of semistandard Young tableaux, where the entries can repeat but must still satisfy this non-decreasing property. The arrangement ensures that the tableaux maintain a certain order, which is fundamental for combinatorial representations and representation theory.
Pieri Rule: The Pieri Rule is a combinatorial formula that describes how to calculate the product of a Schur function with a single variable, leading to a specific way to construct new tableaux. It establishes a relationship between standard and semistandard Young tableaux, enabling the creation of tableaux from smaller ones by adding boxes. This rule is crucial in the study of symmetric functions and representation theory, connecting to various algebraic structures and combinatorial objects.
Representation theory: Representation theory is a branch of mathematics that studies how algebraic structures, like groups and algebras, can be represented through linear transformations of vector spaces. This concept provides a way to connect abstract algebraic objects with more concrete linear algebra techniques, making it easier to analyze and understand their properties and behaviors.
Row-strict: Row-strict refers to a specific property of semistandard Young tableaux where the entries in each row are strictly increasing from left to right. This means that no two entries in a row can be the same, ensuring that each number appears only once within that row. The concept is essential when classifying and analyzing the structure of tableaux, particularly when understanding their relationships to representations and combinatorial aspects.
Rsk correspondence: The RSK correspondence is a combinatorial algorithm that establishes a relationship between permutations and pairs of standard Young tableaux. This correspondence transforms a given permutation into a pair of tableaux, highlighting connections between algebraic structures and combinatorial objects. It plays a crucial role in representation theory and the study of symmetric functions, revealing deep insights into the properties of Schur functions.
Schur Functions: Schur functions are a special class of symmetric functions that correspond to partitions and are indexed by Young diagrams. They play a fundamental role in algebraic combinatorics, connecting various concepts like symmetric functions, representation theory, and geometry.
Schur Polynomial: A Schur polynomial is a special type of symmetric polynomial indexed by a partition, which is a way of writing a positive integer as a sum of positive integers in non-increasing order. Schur polynomials are significant because they form a basis for the space of symmetric functions and have important connections to representation theory, geometry, and algebraic combinatorics. They can be constructed using Young tableaux, specifically standard and semistandard types, which are arrangements of numbers that adhere to certain rules.
Schützenberger Involution: The Schützenberger involution is an operation on standard Young tableaux that involves interchanging the entries in specific positions based on a certain rule, effectively creating a new tableau from an existing one. This operation is crucial in understanding the relationship between standard and semistandard Young tableaux, as it provides insight into the structure of these combinatorial objects and their associated representations.
Semistandard Young Tableau: A semistandard young tableau is a way to fill the boxes of a Young diagram with positive integers such that the entries increase across each row and are weakly increasing down each column. This concept connects to representation theory and combinatorial algebra, particularly in understanding the structure of Schur functions and their properties.
Specht Module: A Specht module is a type of representation associated with a partition of a positive integer, specifically designed for the symmetric group. These modules are constructed using the Young tableaux, which provide a combinatorial framework for understanding how representations of the symmetric group act on various vector spaces. Specht modules play a crucial role in representation theory by enabling the classification and study of the irreducible representations of the symmetric group through combinatorial techniques.
Standard Young Tableau: A Standard Young Tableau is a way of filling the boxes of a Young diagram with integers such that the numbers in each row and each column are strictly increasing. This concept is key in combinatorics, as it relates to counting problems and representation theory, connecting to the study of symmetric functions, combinatorial algorithms, and the interplay between algebra and geometry.
Young Diagram: A Young diagram is a graphical representation of a partition of a positive integer, depicted as a collection of boxes arranged in left-justified rows, where each row corresponds to a part of the partition. This visual structure helps in understanding various concepts in combinatorics and representation theory, particularly related to symmetric groups and tableaux.
λ (lambda): In combinatorics, λ (lambda) often represents a partition of an integer or a specific type of Young tableau. It acts as a way to denote the shape or configuration of partitions or tableaux, providing important information about how numbers are organized into specific groups. This notation plays a critical role in understanding the properties and structures that arise from integer partitions and how they relate to various combinatorial objects.
µ (mu): In the context of Young tableaux, µ (mu) represents a specific partition associated with a tableau. It encodes the shape and structure of semistandard and standard Young tableaux, revealing important information about the arrangement of numbers within the tableaux. Understanding µ is essential for exploring properties such as dimension and representation theory in algebraic combinatorics.
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