Math 2.0

Combinatorics Theorem

Gale–Ryser theorem

Builds on Integer partitionMatrixMajorization

Statement

Let tt be a positive integer, and let R=(r1≥r2≥… )R = (r_1 \ge r_2 \ge \dots) and C=(c1≥c2≥… )C = (c_1 \ge c_2 \ge \dots) be two partitions of tt. A 00-11 matrix has row sums RR and column sums CC when it has one row for each part of RR and one column for each part of CC, its entries are all 00 or 11, row ii adds up to rir_i, and column jj adds up to cjc_j.

Let RdR^d be the conjugate partition of RR. Its jj-th part is the number of parts of RR that are at least jj.

Then a 00-11 matrix with row sums RR and column sums CC exists if and only if RdR^d dominates CC in the dominance order on partitions of tt. That is, for each k≥1k \ge 1, the sum of the kk largest parts of RdR^d is at least the sum of the kk largest parts of CC, where missing parts count as 00.

Remarks

The dominance condition is the majorization of CC by RdR^d, applied to partitions of the same number. Example: R=(2,2)R = (2, 2) and C=(2,2)C = (2, 2) give Rd=(2,2)R^d = (2, 2), which dominates CC, and the matrix with all entries 11 works. Example: R=(2,2)R = (2, 2) and C=(4)C = (4) give Rd=(2,2)R^d = (2, 2), which does not dominate (4)(4), since 2<42 < 4. No such matrix exists, as a column with 22 rows cannot sum to 44.

Reading path

To understand this page from the ground up, read these 4 pages in order. The foundations come first.

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  1. Integer partition definition
  2. Majorization concept
  3. Matrix definition
  4. Gale–Ryser theorem statement

Further reading

  1. Web https://github.com/mitchkeller/applied-combinatorics/blob/ebd95d6bd59e23c633c65cf560bcb93efa912aae/source/s_kitchensink_zero-one-matrices.ptx#L60, source/s_kitchensink_zero-one-matrices.ptx:60
About this page
Tag5DFX9M41GY
URIm2://5DFX9M41GY
Kindstatement, theorem
WritingW1 stated
MSC05B20, 05A17
StatusThis copy of the site has no build data. Run m2 status 5DFX9M41GY.
AboutInteger partition
UsesInteger partition, Matrix, Majorization
Changed4 November 2026

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