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Plancherel Measure and Asymptotic Young Diagrams — Examples
1 · Prerequisites
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Chain Conditions, Semisimple Modules and the Wedderburn–Artin Theorem
- Characters and the Orthogonality Relations
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Conjugacy in Sₙ, Generation, and the Simplicity of Aₙ
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Finite Averaging and Character-Theory Prerequisites
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability Spaces and Random Variables
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Maschke's Theorem, Complete Reducibility and the Structure of k[G]
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Permutation Statistics, Inversions and Eulerian Numbers
- Plancherel Measure and Asymptotic Young Diagrams
- Polynomial Rings, the Division Algorithm and Roots
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Probability Spaces Random Variables and Expectation
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Specht Modules and the Irreducibles of the Symmetric Group
- Splitting Fields
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Branching Rule and the Young Graph
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Group Algebra and Representations of Finite Groups
- The Hook Length Formula and Rsk Correspondence
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Young Diagrams Tableaux and Permutation Modules
2 · Summary
These examples keep the Plancherel measure of plancherel-measure-and-asymptotic-young-diagrams visible at the smallest interesting order. The case is computed twice: first from the standard-tableau counts , and the hook length formula, giving the weights and their sum (The Plancherel measure on partitions of three), and then by running Robinson-Schensted row insertion on all six permutations of , which produces the same frequency vector and confirms the shape law at (The RSK shapes of the six permutations of ). The counterexample The Plancherel measure is not uniform on partitions records that these weights are not uniform on the three partitions: the middle shape carries four times the weight of either extreme shape, and for every the shapes and separate the Plancherel weights from the uniform weights. No fluctuations, edge statistics or sharp constants are exhibited here; the examples illustrate the qualitative limit theory of the companion page only at the level of the measure itself.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The Plancherel measure is not uniform on partitions
Statement refuted
For every , the Plancherel measure on is uniform on the partitions of .
Facts & Assumptions
Given: the Plancherel weights on the partitions , where is the number of standard -tableaux (The Plancherel measure on the partitions of , Standard polytabloids form a basis of a complex Specht module).
For every and , , the empty product being ; in particular for and (The hook length formula).
For every integer , the hook shape has first-row hook lengths and second-row hook length , so its hook product is and (The hook length formula).
Partitions of a fixed integer are the weakly decreasing positive sequences summing to it; denotes the column (Partitions, English diagrams, and conjugation).
Counterexample
The Plancherel measure on the partitions of is not the uniform measure on the three partitions : the middle shape has four times the weight of either extreme shape, since while . More generally, uniform weights on are not the Plancherel weights for any .
Proof technique: direct.
The case : the partitions of are by [F3]; [F1] gives and , and [F2] with size gives . Hence the Plancherel weights of order are , and , whereas the uniform weights on the three partitions would be each. Since , the Plancherel measure on is not the uniform measure, refuting uniformity already at .
The general case: let . The shapes and are partitions of (Partitions, English diagrams, and conjugation); by [F1] , and by [F2] with one has . Hence while . Two partitions of therefore carry distinct Plancherel weights, so the weights on are not all equal, and in particular is not the uniform distribution on .
Conclusion: the two partitions and of carry distinct Plancherel weights for every , so no uniform probability distribution on can coincide with ; the computation of step 1.1 is the case in which the failure is witnessed explicitly by .
The Plancherel measure on partitions of three
Example
For the partitions are , and , with and ; hence and , recovering The Plancherel weights sum to one in the smallest non-uniform case.
Facts & Assumptions
Given: the Plancherel weights with the number of standard -tableaux (The Plancherel measure on the partitions of , Standard polytabloids form a basis of a complex Specht module).
The partitions of are , and , where is the column (Partitions, English diagrams, and conjugation).
For every and , with the empty product equal to ; in particular and (The hook length formula).
The shape has hook lengths in the top-left box, in the top-right box and in the bottom box, so ; explicitly its standard tableaux are the ones with first row and second row , and with first row and second row (The hook length formula, Standard polytabloids form a basis of a complex Specht module).
The Plancherel weights of any order sum to one (The Plancherel weights sum to one).
Verification
The three shapes: by [F1] the partitions of are exactly , and , and [F2] and [F3] give , and ; in particular each is a positive integer and the standard-tableau counts are as displayed.
The weights: by definition of the Plancherel measure with , step 1.1 gives , and ; summing, .
Conclusion: the computed weights are the values displayed in the Example, their sum is one as predicted by [F4], and the middle shape carries four times the weight of either extreme shape, so is the smallest case exhibiting non-uniformity of the Plancherel weights.
The RSK shapes of the six permutations of
Example
Running Robinson-Schensted row insertion on the six permutations of gives the resulting shape frequencies are for , for and for , matching of The Plancherel measure on partitions of three and confirming The RSK shape of a uniform random permutation has the Plancherel law at .
Facts & Assumptions
Given: the six permutations of in one-line form, each of weight ; row insertion as defined in Row insertion and the bumping route; the insertion tableau of a permutation and its shape (The Robinson-Schensted correspondence).
Row insertion is deterministic: a new letter that is larger than every entry of the current first row is appended at its right end, and otherwise the letter replaces the leftmost entry larger than it, which is bumped to the next row and processed there by the same rule (Row insertion and the bumping route).
The shape of the insertion tableau is ; the Robinson-Schensted map is a bijection onto pairs of standard tableaux of equal shape (The Robinson-Schensted correspondence).
For a uniform permutation of , has law , namely the weights on (The RSK shape of a uniform random permutation has the Plancherel law, The Plancherel measure on partitions of three).
Verification
Explicit insertions: applying [F1] to each word, one letter at a time, gives the following tableaux (written as the list of their rows): , shape ; : , then , then bumps the , giving rows and , shape ; : , then bumps giving rows and , then is appended in the first row, shape ; : , then , then bumps , giving rows and , shape ; : , then bumps giving rows and , then is appended in the first row, shape ; : , then bumps , giving rows and , then bumps and the expelled bumps , giving rows , , , shape . Each bumping step is the deterministic rule of [F1] applied to the displayed entries.
Frequencies: by [F2] the shapes recorded in step 1.1 are the Robinson-Schensted shapes of the six permutations, so among the six words the shape occurs once, four times and once; with the uniform weight on each permutation the frequencies are .
Comparison: the frequencies of step 2.1 are exactly the Plancherel weights , and of [F3], confirming the law of the shape of a uniform permutation at ; every step was a finite computation with integer entries, and no choice principle was used.
Sources
- Dan Romik, The Surprising Mathematics of Longest Increasing Subsequences, Cambridge University Press 2015; author-hosted manuscript of 20 August 2014 (363 pp.)
- Vladimir Ivanov and Grigori Olshanski, Kerov's central limit theorem for the Plancherel measure on Young diagrams, arXiv:math/0304010; survey-paper version in Symmetric Functions 2001, NATO Science Series II 74 (2002), 93-151