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Plancherel Measure and Asymptotic Young Diagrams — Examples

1 · Prerequisites

2 · Summary

These examples keep the Plancherel measure of plancherel-measure-and-asymptotic-young-diagrams visible at the smallest interesting order. The case n=3 is computed twice: first from the standard-tableau counts f(3)=f(13)=1, f(2,1)=2 and the hook length formula, giving the weights 1/6,4/6,1/6 and their sum (The Plancherel measure on partitions of three), and then by running Robinson-Schensted row insertion on all six permutations of {1,2,3}, which produces the same frequency vector and confirms the shape law at n=3 (The RSK shapes of the six permutations of S3). 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 n≥3 the shapes (n) and (2,1n−2) 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

CounterexampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-6.1-sol)Open item page →

The Plancherel measure is not uniform on partitions

Statement refuted

For every n≥3, the Plancherel measure on Yn is uniform on the partitions of n.

Facts & Assumptions

Given: the Plancherel weights Pn(λ)=(fλ)2/n! on the partitions λ⊢n, where fλ=dim⁡CSλ is the number of standard λ-tableaux (The Plancherel measure on the partitions of n, Standard polytabloids form a basis of a complex Specht module).

[F1]

For every n≥0 and λ⊢n, fλ=n!/∏x∈[λ]h(x), the empty product being 1; in particular f(n)=1 for n≥1 and f(1n)=1 (The hook length formula).

[F2]

For every integer N≥2, the hook shape (N−1,1) has first-row hook lengths N,N−2,N−3,…,1 and second-row hook length 1, so its hook product is N (N−2)! and f(N−1,1)=N!/(N(N−2)!)=N−1 (The hook length formula).

[F3]

Partitions of a fixed integer are the weakly decreasing positive sequences summing to it; (13) denotes the column (1,1,1) (Partitions, English diagrams, and conjugation).

Counterexample

The Plancherel measure on the partitions of 3 is not the uniform measure on the three partitions (3),(2,1),(13): the middle shape has four times the weight of either extreme shape, since P3(2,1)=4/6 while P3(3)=P3(13)=1/6. More generally, uniform weights on Yn are not the Plancherel weights for any n≥3.

Proof technique: direct.

1.1givenF1F2F3algebra

The case n=3: the partitions of 3 are (3),(2,1),(13) by [F3]; [F1] gives f(3)=1 and f(13)=1, and [F2] with size 3 gives f(2,1)=3−1=2. Hence the Plancherel weights of order 3 are P3(3)=1/6, P3(2,1)=4/6 and P3(13)=1/6, whereas the uniform weights on the three partitions would be 1/3 each. Since 4/6≠1/6, the Plancherel measure on Y3 is not the uniform measure, refuting uniformity already at n=3.

1.2givenF1F2algebra

The general case: let n≥3. The shapes (n) and (n−1,1) are partitions of n (Partitions, English diagrams, and conjugation); by [F1] f(n)=1, and by [F2] with N=n≥3 one has f(n−1,1)=n−1>1. Hence Pn(n)=1/n! while Pn(n−1,1)=(n−1)2/n!>1/n!. Two partitions of Yn therefore carry distinct Plancherel weights, so the weights on Yn are not all equal, and in particular Pn is not the uniform distribution on Yn.

2.1givenstep 1.1step 1.2algebra∎

Conclusion: the two partitions (n) and (n−1,1) of n carry distinct Plancherel weights for every n≥3, so no uniform probability distribution on Yn can coincide with Pn; the computation of step 1.1 is the case n=3 in which the failure is witnessed explicitly by P3(2,1)=4/6>1/6=P3(3).

ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-6.1-sol)Open item page →

The Plancherel measure on partitions of three

Example

For n=3 the partitions are (3), (2,1) and (13), with f(3)=f(13)=1 and f(2,1)=2; hence P3(3)=P3(13)=16,P3(2,1)=46=23, and 16+46+16=1, recovering The Plancherel weights sum to one in the smallest non-uniform case.

Facts & Assumptions

Given: the Plancherel weights Pn(λ)=(fλ)2/n! with fλ the number of standard λ-tableaux (The Plancherel measure on the partitions of n, Standard polytabloids form a basis of a complex Specht module).

[F1]

The partitions of 3 are (3), (2,1) and (13), where (13) is the column (1,1,1) (Partitions, English diagrams, and conjugation).

[F2]

For every n≥0 and λ⊢n, fλ=n!/∏x∈[λ]h(x) with the empty product equal to 1; in particular f(3)=3!/(3⋅2⋅1)=1 and f(13)=3!/(3⋅2⋅1)=1 (The hook length formula).

[F3]

The shape (2,1) has hook lengths 3 in the top-left box, 1 in the top-right box and 1 in the bottom box, so f(2,1)=3!/(3⋅1⋅1)=2; explicitly its standard tableaux are the ones with first row (1,2) and second row (3), and with first row (1,3) and second row (2) (The hook length formula, Standard polytabloids form a basis of a complex Specht module).

[F4]

The Plancherel weights of any order sum to one (The Plancherel weights sum to one).

Verification

technique · direct
1.1givenF1F2F3

The three shapes: by [F1] the partitions of 3 are exactly (3), (2,1) and (13), and [F2] and [F3] give f(3)=1, f(2,1)=2 and f(13)=1; in particular each fλ is a positive integer and the standard-tableau counts are as displayed.

2.1givenstep 1.1algebra

The weights: by definition of the Plancherel measure P3(λ)=(fλ)2/3! with 3!=6, step 1.1 gives P3(3)=1/6, P3(2,1)=4/6=2/3 and P3(13)=1/6; summing, 1/6+4/6+1/6=6/6=1.

3.1givenF4step 2.1algebra∎

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 n=3 is the smallest case exhibiting non-uniformity of the Plancherel weights.

ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-6.1-sol)Open item page →

The RSK shapes of the six permutations of S3

Example

Running Robinson-Schensted row insertion on the six permutations of {1,2,3} gives 123↦(3),132↦(2,1),213↦(2,1),231↦(2,1),312↦(2,1),321↦(13); the resulting shape frequencies are 16 for (3), 46 for (2,1) and 16 for (13), matching P3 of The Plancherel measure on partitions of three and confirming The RSK shape of a uniform random permutation has the Plancherel law at n=3.

Facts & Assumptions

Given: the six permutations of {1,2,3} in one-line form, each of weight 1/6; row insertion as defined in Row insertion and the bumping route; the insertion tableau P(σ) of a permutation σ and its shape sh⁡(σ) (The Robinson-Schensted correspondence).

[F1]

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).

[F2]

The shape of the insertion tableau P(σ) is sh⁡(σ); the Robinson-Schensted map is a bijection onto pairs of standard tableaux of equal shape (The Robinson-Schensted correspondence).

[F3]

For a uniform permutation of {1,2,3}, sh⁡ has law P3, namely the weights 1/6,4/6,1/6 on (3),(2,1),(13) (The RSK shape of a uniform random permutation has the Plancherel law, The Plancherel measure on partitions of three).

Verification

technique · direct
1.1givenF1

Explicit insertions: applying [F1] to each word, one letter at a time, gives the following tableaux (written as the list of their rows): 123⇝((1,2,3)), shape (3); 132: (1), then (1,3), then 2 bumps the 3, giving rows (1,2) and (3), shape (2,1); 213: (2), then 1 bumps 2 giving rows (1) and (2), then 3 is appended in the first row, shape (2,1); 231: (2), then (2,3), then 1 bumps 2, giving rows (1,3) and (2), shape (2,1); 312: (3), then 1 bumps 3 giving rows (1) and (3), then 2 is appended in the first row, shape (2,1); 321: (3), then 2 bumps 3, giving rows (2) and (3), then 1 bumps 2 and the expelled 2 bumps 3, giving rows (1), (2), (3), shape (13). Each bumping step is the deterministic rule of [F1] applied to the displayed entries.

2.1givenF2step 1.1algebra

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 (3) occurs once, (2,1) four times and (13) once; with the uniform weight 1/6 on each permutation the frequencies are 1/6,4/6,1/6.

3.1givenF3step 2.1algebra∎

Comparison: the frequencies of step 2.1 are exactly the Plancherel weights P3(3)=1/6, P3(2,1)=4/6 and P3(13)=1/6 of [F3], confirming the law of the shape of a uniform permutation at n=3; every step was a finite computation with integer entries, and no choice principle was used.

Sources