Math 2.0

Combinatorics Algebraic combinatorics Theorem

Robinson–Schensted–Knuth correspondence

Builds on Young tableauRobinson–Schensted correspondenceSchur polynomialMatrix

Statement

Let m,n≥1m, n \ge 1. Let A=(aij)A = (a_{ij}) be an m×nm \times n matrix with nonnegative integer entries. List the pairs (i,j)(i, j) in lexicographic order, each pair repeated aija_{ij} times. Insert the second coordinates jj in this order into the empty tableau by row insertion, and let P(A)P(A) be the result. Let Q(A)Q(A) be the tableau that has entry ii in the cell created when the pair (i,j)(i, j) is inserted.

  1. P(A)P(A) and Q(A)Q(A) are semistandard Young tableaux of the same shape.
  2. The entry jj appears in P(A)P(A) exactly ∑iaij\sum_i a_{ij} times, and the entry ii appears in Q(A)Q(A) exactly ∑jaij\sum_j a_{ij} times.
  3. The map A↦(P(A),Q(A))A \mapsto (P(A), Q(A)) is a bijection onto the set of pairs (P,Q)(P, Q) of semistandard tableaux of the same shape. Here PP has entries in {1,…,n}\set{1, \dots, n} and QQ has entries in {1,…,m}\set{1, \dots, m}.
  4. P(AT)=Q(A)P(A^T) = Q(A) and Q(AT)=P(A)Q(A^T) = P(A).

Remarks

The insertion rule is the one of the Robinson–Schensted correspondence: an inserted entry xx bumps the leftmost entry of the row that is strictly larger than xx. Equal first coordinates are listed with increasing second coordinates, so the recording tableau stays semistandard. For a permutation matrix the construction gives back the Robinson–Schensted correspondence.

Example: for A=(1101)A = \begin{pmatrix} 1 & 1 \\ 0 & 1 \end{pmatrix} the pairs are (1,1),(1,2),(2,2)(1,1), (1,2), (2,2). Inserting 1,2,21, 2, 2 gives P=122P = \begin{smallmatrix} 1 & 2 & 2 \end{smallmatrix}, and Q=112Q = \begin{smallmatrix} 1 & 1 & 2 \end{smallmatrix}. The column sums 1,21, 2 of AA match the content of PP, and the row sums 2,12, 1 match the content of QQ.

Going deeper

For a student

Summing over all matrices with weight ∏i,j(xiyj)aij\prod_{i,j} (x_i y_j)^{a_{ij}} gives the Cauchy identity ∏i=1m∏j=1n11−xiyj=∑λsλ(x1,…,xm) sλ(y1,…,yn),\prod_{i=1}^{m} \prod_{j=1}^{n} \frac{1}{1 - x_i y_j} = \sum_{\lambda} s_\lambda(x_1, \dots, x_m) \, s_\lambda(y_1, \dots, y_n), where sλs_\lambda is the Schur polynomial. Part 4 applied to symmetric matrices gives similar identities for ∑λsλ\sum_\lambda s_\lambda. The correspondence is due to Knuth, and it is the main bijective tool in the theory of symmetric functions.

Reading path

To understand this page from the ground up, read these 8 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Integer partition concept
  2. Matrix concept
  3. Permutation concept
  4. Schur polynomial concept
  5. Symmetric group concept
  6. Young tableau concept
  7. Robinson–Schensted correspondence statement
  8. Robinson–Schensted–Knuth correspondence statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Robinson%E2%80%93Schensted%E2%80%93Knuth_correspondence
About this page
Tag8JW8F4VVED
URIm2://8JW8F4VVED
Kindstatement, theorem
WritingW0 stub
MSC05E05, 05E10, 05A19
StatusThis copy of the site has no build data. Run m2 status 8JW8F4VVED.
AboutYoung tableau
UsesYoung tableau, Robinson–Schensted correspondence, Schur polynomial, Matrix
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Changed2 November 2026

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