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Your data matches 17 different statistics following compositions of up to 3 maps.
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Matching statistic: St000330
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St000330: Standard tableaux ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> 0
[[1,2]]
=> 0
[[1],[2]]
=> 1
[[1,2,3]]
=> 0
[[1,3],[2]]
=> 1
[[1,2],[3]]
=> 2
[[1],[2],[3]]
=> 3
[[1,2,3,4]]
=> 0
[[1,3,4],[2]]
=> 1
[[1,2,4],[3]]
=> 2
[[1,2,3],[4]]
=> 3
[[1,3],[2,4]]
=> 4
[[1,2],[3,4]]
=> 2
[[1,4],[2],[3]]
=> 3
[[1,3],[2],[4]]
=> 4
[[1,2],[3],[4]]
=> 5
[[1],[2],[3],[4]]
=> 6
[[1,2,3,4,5]]
=> 0
[[1,3,4,5],[2]]
=> 1
[[1,2,4,5],[3]]
=> 2
[[1,2,3,5],[4]]
=> 3
[[1,2,3,4],[5]]
=> 4
[[1,3,5],[2,4]]
=> 4
[[1,2,5],[3,4]]
=> 2
[[1,3,4],[2,5]]
=> 5
[[1,2,4],[3,5]]
=> 6
[[1,2,3],[4,5]]
=> 3
[[1,4,5],[2],[3]]
=> 3
[[1,3,5],[2],[4]]
=> 4
[[1,2,5],[3],[4]]
=> 5
[[1,3,4],[2],[5]]
=> 5
[[1,2,4],[3],[5]]
=> 6
[[1,2,3],[4],[5]]
=> 7
[[1,4],[2,5],[3]]
=> 7
[[1,3],[2,5],[4]]
=> 4
[[1,2],[3,5],[4]]
=> 5
[[1,3],[2,4],[5]]
=> 8
[[1,2],[3,4],[5]]
=> 6
[[1,5],[2],[3],[4]]
=> 6
[[1,4],[2],[3],[5]]
=> 7
[[1,3],[2],[4],[5]]
=> 8
[[1,2],[3],[4],[5]]
=> 9
[[1],[2],[3],[4],[5]]
=> 10
[[1,2,3,4,5,6]]
=> 0
[[1,3,4,5,6],[2]]
=> 1
[[1,2,4,5,6],[3]]
=> 2
[[1,2,3,5,6],[4]]
=> 3
[[1,2,3,4,6],[5]]
=> 4
[[1,2,3,4,5],[6]]
=> 5
[[1,3,5,6],[2,4]]
=> 4
Description
The (standard) major index of a standard tableau.
A descent of a standard tableau $T$ is an index $i$ such that $i+1$ appears in a row strictly below the row of $i$. The (standard) major index is the the sum of the descents.
Matching statistic: St000169
Mp00085: Standard tableaux —Schützenberger involution⟶ Standard tableaux
St000169: Standard tableaux ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
St000169: Standard tableaux ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> [[1]]
=> 0
[[1,2]]
=> [[1,2]]
=> 0
[[1],[2]]
=> [[1],[2]]
=> 1
[[1,2,3]]
=> [[1,2,3]]
=> 0
[[1,3],[2]]
=> [[1,2],[3]]
=> 1
[[1,2],[3]]
=> [[1,3],[2]]
=> 2
[[1],[2],[3]]
=> [[1],[2],[3]]
=> 3
[[1,2,3,4]]
=> [[1,2,3,4]]
=> 0
[[1,3,4],[2]]
=> [[1,2,3],[4]]
=> 1
[[1,2,4],[3]]
=> [[1,2,4],[3]]
=> 2
[[1,2,3],[4]]
=> [[1,3,4],[2]]
=> 3
[[1,3],[2,4]]
=> [[1,3],[2,4]]
=> 4
[[1,2],[3,4]]
=> [[1,2],[3,4]]
=> 2
[[1,4],[2],[3]]
=> [[1,2],[3],[4]]
=> 3
[[1,3],[2],[4]]
=> [[1,3],[2],[4]]
=> 4
[[1,2],[3],[4]]
=> [[1,4],[2],[3]]
=> 5
[[1],[2],[3],[4]]
=> [[1],[2],[3],[4]]
=> 6
[[1,2,3,4,5]]
=> [[1,2,3,4,5]]
=> 0
[[1,3,4,5],[2]]
=> [[1,2,3,4],[5]]
=> 1
[[1,2,4,5],[3]]
=> [[1,2,3,5],[4]]
=> 2
[[1,2,3,5],[4]]
=> [[1,2,4,5],[3]]
=> 3
[[1,2,3,4],[5]]
=> [[1,3,4,5],[2]]
=> 4
[[1,3,5],[2,4]]
=> [[1,2,4],[3,5]]
=> 4
[[1,2,5],[3,4]]
=> [[1,2,3],[4,5]]
=> 2
[[1,3,4],[2,5]]
=> [[1,3,4],[2,5]]
=> 5
[[1,2,4],[3,5]]
=> [[1,3,5],[2,4]]
=> 6
[[1,2,3],[4,5]]
=> [[1,2,5],[3,4]]
=> 3
[[1,4,5],[2],[3]]
=> [[1,2,3],[4],[5]]
=> 3
[[1,3,5],[2],[4]]
=> [[1,2,4],[3],[5]]
=> 4
[[1,2,5],[3],[4]]
=> [[1,2,5],[3],[4]]
=> 5
[[1,3,4],[2],[5]]
=> [[1,3,4],[2],[5]]
=> 5
[[1,2,4],[3],[5]]
=> [[1,3,5],[2],[4]]
=> 6
[[1,2,3],[4],[5]]
=> [[1,4,5],[2],[3]]
=> 7
[[1,4],[2,5],[3]]
=> [[1,3],[2,4],[5]]
=> 7
[[1,3],[2,5],[4]]
=> [[1,2],[3,4],[5]]
=> 4
[[1,2],[3,5],[4]]
=> [[1,2],[3,5],[4]]
=> 5
[[1,3],[2,4],[5]]
=> [[1,4],[2,5],[3]]
=> 8
[[1,2],[3,4],[5]]
=> [[1,3],[2,5],[4]]
=> 6
[[1,5],[2],[3],[4]]
=> [[1,2],[3],[4],[5]]
=> 6
[[1,4],[2],[3],[5]]
=> [[1,3],[2],[4],[5]]
=> 7
[[1,3],[2],[4],[5]]
=> [[1,4],[2],[3],[5]]
=> 8
[[1,2],[3],[4],[5]]
=> [[1,5],[2],[3],[4]]
=> 9
[[1],[2],[3],[4],[5]]
=> [[1],[2],[3],[4],[5]]
=> 10
[[1,2,3,4,5,6]]
=> [[1,2,3,4,5,6]]
=> 0
[[1,3,4,5,6],[2]]
=> [[1,2,3,4,5],[6]]
=> 1
[[1,2,4,5,6],[3]]
=> [[1,2,3,4,6],[5]]
=> 2
[[1,2,3,5,6],[4]]
=> [[1,2,3,5,6],[4]]
=> 3
[[1,2,3,4,6],[5]]
=> [[1,2,4,5,6],[3]]
=> 4
[[1,2,3,4,5],[6]]
=> [[1,3,4,5,6],[2]]
=> 5
[[1,3,5,6],[2,4]]
=> [[1,2,3,5],[4,6]]
=> 4
Description
The cocharge of a standard tableau.
The '''cocharge''' of a standard tableau $T$, denoted $\mathrm{cc}(T)$, is defined to be the cocharge of the reading word of the tableau. The cocharge of a permutation $w_1 w_2\cdots w_n$ can be computed by the following algorithm:
1) Starting from $w_n$, scan the entries right-to-left until finding the entry $1$ with a superscript $0$.
2) Continue scanning until the $2$ is found, and label this with a superscript $1$. Then scan until the $3$ is found, labeling with a $2$, and so on, incrementing the label each time, until the beginning of the word is reached. Then go back to the end and scan again from right to left, and *do not* increment the superscript label for the first number found in the next scan. Then continue scanning and labeling, each time incrementing the superscript only if we have not cycled around the word since the last labeling.
3) The cocharge is defined as the sum of the superscript labels on the letters.
Matching statistic: St000008
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Mp00134: Standard tableaux —descent word⟶ Binary words
Mp00178: Binary words —to composition⟶ Integer compositions
St000008: Integer compositions ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Mp00178: Binary words —to composition⟶ Integer compositions
St000008: Integer compositions ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> => [1] => 0
[[1,2]]
=> 0 => [2] => 0
[[1],[2]]
=> 1 => [1,1] => 1
[[1,2,3]]
=> 00 => [3] => 0
[[1,3],[2]]
=> 10 => [1,2] => 1
[[1,2],[3]]
=> 01 => [2,1] => 2
[[1],[2],[3]]
=> 11 => [1,1,1] => 3
[[1,2,3,4]]
=> 000 => [4] => 0
[[1,3,4],[2]]
=> 100 => [1,3] => 1
[[1,2,4],[3]]
=> 010 => [2,2] => 2
[[1,2,3],[4]]
=> 001 => [3,1] => 3
[[1,3],[2,4]]
=> 101 => [1,2,1] => 4
[[1,2],[3,4]]
=> 010 => [2,2] => 2
[[1,4],[2],[3]]
=> 110 => [1,1,2] => 3
[[1,3],[2],[4]]
=> 101 => [1,2,1] => 4
[[1,2],[3],[4]]
=> 011 => [2,1,1] => 5
[[1],[2],[3],[4]]
=> 111 => [1,1,1,1] => 6
[[1,2,3,4,5]]
=> 0000 => [5] => 0
[[1,3,4,5],[2]]
=> 1000 => [1,4] => 1
[[1,2,4,5],[3]]
=> 0100 => [2,3] => 2
[[1,2,3,5],[4]]
=> 0010 => [3,2] => 3
[[1,2,3,4],[5]]
=> 0001 => [4,1] => 4
[[1,3,5],[2,4]]
=> 1010 => [1,2,2] => 4
[[1,2,5],[3,4]]
=> 0100 => [2,3] => 2
[[1,3,4],[2,5]]
=> 1001 => [1,3,1] => 5
[[1,2,4],[3,5]]
=> 0101 => [2,2,1] => 6
[[1,2,3],[4,5]]
=> 0010 => [3,2] => 3
[[1,4,5],[2],[3]]
=> 1100 => [1,1,3] => 3
[[1,3,5],[2],[4]]
=> 1010 => [1,2,2] => 4
[[1,2,5],[3],[4]]
=> 0110 => [2,1,2] => 5
[[1,3,4],[2],[5]]
=> 1001 => [1,3,1] => 5
[[1,2,4],[3],[5]]
=> 0101 => [2,2,1] => 6
[[1,2,3],[4],[5]]
=> 0011 => [3,1,1] => 7
[[1,4],[2,5],[3]]
=> 1101 => [1,1,2,1] => 7
[[1,3],[2,5],[4]]
=> 1010 => [1,2,2] => 4
[[1,2],[3,5],[4]]
=> 0110 => [2,1,2] => 5
[[1,3],[2,4],[5]]
=> 1011 => [1,2,1,1] => 8
[[1,2],[3,4],[5]]
=> 0101 => [2,2,1] => 6
[[1,5],[2],[3],[4]]
=> 1110 => [1,1,1,2] => 6
[[1,4],[2],[3],[5]]
=> 1101 => [1,1,2,1] => 7
[[1,3],[2],[4],[5]]
=> 1011 => [1,2,1,1] => 8
[[1,2],[3],[4],[5]]
=> 0111 => [2,1,1,1] => 9
[[1],[2],[3],[4],[5]]
=> 1111 => [1,1,1,1,1] => 10
[[1,2,3,4,5,6]]
=> 00000 => [6] => 0
[[1,3,4,5,6],[2]]
=> 10000 => [1,5] => 1
[[1,2,4,5,6],[3]]
=> 01000 => [2,4] => 2
[[1,2,3,5,6],[4]]
=> 00100 => [3,3] => 3
[[1,2,3,4,6],[5]]
=> 00010 => [4,2] => 4
[[1,2,3,4,5],[6]]
=> 00001 => [5,1] => 5
[[1,3,5,6],[2,4]]
=> 10100 => [1,2,3] => 4
Description
The major index of the composition.
The descents of a composition $[c_1,c_2,\dots,c_k]$ are the partial sums $c_1, c_1+c_2,\dots, c_1+\dots+c_{k-1}$, excluding the sum of all parts. The major index of a composition is the sum of its descents.
For details about the major index see [[Permutations/Descents-Major]].
Matching statistic: St000009
Mp00084: Standard tableaux —conjugate⟶ Standard tableaux
Mp00085: Standard tableaux —Schützenberger involution⟶ Standard tableaux
St000009: Standard tableaux ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Mp00085: Standard tableaux —Schützenberger involution⟶ Standard tableaux
St000009: Standard tableaux ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> [[1]]
=> [[1]]
=> 0
[[1,2]]
=> [[1],[2]]
=> [[1],[2]]
=> 0
[[1],[2]]
=> [[1,2]]
=> [[1,2]]
=> 1
[[1,2,3]]
=> [[1],[2],[3]]
=> [[1],[2],[3]]
=> 0
[[1,3],[2]]
=> [[1,2],[3]]
=> [[1,3],[2]]
=> 1
[[1,2],[3]]
=> [[1,3],[2]]
=> [[1,2],[3]]
=> 2
[[1],[2],[3]]
=> [[1,2,3]]
=> [[1,2,3]]
=> 3
[[1,2,3,4]]
=> [[1],[2],[3],[4]]
=> [[1],[2],[3],[4]]
=> 0
[[1,3,4],[2]]
=> [[1,2],[3],[4]]
=> [[1,4],[2],[3]]
=> 1
[[1,2,4],[3]]
=> [[1,3],[2],[4]]
=> [[1,3],[2],[4]]
=> 2
[[1,2,3],[4]]
=> [[1,4],[2],[3]]
=> [[1,2],[3],[4]]
=> 3
[[1,3],[2,4]]
=> [[1,2],[3,4]]
=> [[1,2],[3,4]]
=> 4
[[1,2],[3,4]]
=> [[1,3],[2,4]]
=> [[1,3],[2,4]]
=> 2
[[1,4],[2],[3]]
=> [[1,2,3],[4]]
=> [[1,3,4],[2]]
=> 3
[[1,3],[2],[4]]
=> [[1,2,4],[3]]
=> [[1,2,4],[3]]
=> 4
[[1,2],[3],[4]]
=> [[1,3,4],[2]]
=> [[1,2,3],[4]]
=> 5
[[1],[2],[3],[4]]
=> [[1,2,3,4]]
=> [[1,2,3,4]]
=> 6
[[1,2,3,4,5]]
=> [[1],[2],[3],[4],[5]]
=> [[1],[2],[3],[4],[5]]
=> 0
[[1,3,4,5],[2]]
=> [[1,2],[3],[4],[5]]
=> [[1,5],[2],[3],[4]]
=> 1
[[1,2,4,5],[3]]
=> [[1,3],[2],[4],[5]]
=> [[1,4],[2],[3],[5]]
=> 2
[[1,2,3,5],[4]]
=> [[1,4],[2],[3],[5]]
=> [[1,3],[2],[4],[5]]
=> 3
[[1,2,3,4],[5]]
=> [[1,5],[2],[3],[4]]
=> [[1,2],[3],[4],[5]]
=> 4
[[1,3,5],[2,4]]
=> [[1,2],[3,4],[5]]
=> [[1,3],[2,5],[4]]
=> 4
[[1,2,5],[3,4]]
=> [[1,3],[2,4],[5]]
=> [[1,4],[2,5],[3]]
=> 2
[[1,3,4],[2,5]]
=> [[1,2],[3,5],[4]]
=> [[1,2],[3,5],[4]]
=> 5
[[1,2,4],[3,5]]
=> [[1,3],[2,5],[4]]
=> [[1,2],[3,4],[5]]
=> 6
[[1,2,3],[4,5]]
=> [[1,4],[2,5],[3]]
=> [[1,3],[2,4],[5]]
=> 3
[[1,4,5],[2],[3]]
=> [[1,2,3],[4],[5]]
=> [[1,4,5],[2],[3]]
=> 3
[[1,3,5],[2],[4]]
=> [[1,2,4],[3],[5]]
=> [[1,3,5],[2],[4]]
=> 4
[[1,2,5],[3],[4]]
=> [[1,3,4],[2],[5]]
=> [[1,3,4],[2],[5]]
=> 5
[[1,3,4],[2],[5]]
=> [[1,2,5],[3],[4]]
=> [[1,2,5],[3],[4]]
=> 5
[[1,2,4],[3],[5]]
=> [[1,3,5],[2],[4]]
=> [[1,2,4],[3],[5]]
=> 6
[[1,2,3],[4],[5]]
=> [[1,4,5],[2],[3]]
=> [[1,2,3],[4],[5]]
=> 7
[[1,4],[2,5],[3]]
=> [[1,2,3],[4,5]]
=> [[1,2,5],[3,4]]
=> 7
[[1,3],[2,5],[4]]
=> [[1,2,4],[3,5]]
=> [[1,3,5],[2,4]]
=> 4
[[1,2],[3,5],[4]]
=> [[1,3,4],[2,5]]
=> [[1,3,4],[2,5]]
=> 5
[[1,3],[2,4],[5]]
=> [[1,2,5],[3,4]]
=> [[1,2,3],[4,5]]
=> 8
[[1,2],[3,4],[5]]
=> [[1,3,5],[2,4]]
=> [[1,2,4],[3,5]]
=> 6
[[1,5],[2],[3],[4]]
=> [[1,2,3,4],[5]]
=> [[1,3,4,5],[2]]
=> 6
[[1,4],[2],[3],[5]]
=> [[1,2,3,5],[4]]
=> [[1,2,4,5],[3]]
=> 7
[[1,3],[2],[4],[5]]
=> [[1,2,4,5],[3]]
=> [[1,2,3,5],[4]]
=> 8
[[1,2],[3],[4],[5]]
=> [[1,3,4,5],[2]]
=> [[1,2,3,4],[5]]
=> 9
[[1],[2],[3],[4],[5]]
=> [[1,2,3,4,5]]
=> [[1,2,3,4,5]]
=> 10
[[1,2,3,4,5,6]]
=> [[1],[2],[3],[4],[5],[6]]
=> [[1],[2],[3],[4],[5],[6]]
=> 0
[[1,3,4,5,6],[2]]
=> [[1,2],[3],[4],[5],[6]]
=> [[1,6],[2],[3],[4],[5]]
=> 1
[[1,2,4,5,6],[3]]
=> [[1,3],[2],[4],[5],[6]]
=> [[1,5],[2],[3],[4],[6]]
=> 2
[[1,2,3,5,6],[4]]
=> [[1,4],[2],[3],[5],[6]]
=> [[1,4],[2],[3],[5],[6]]
=> 3
[[1,2,3,4,6],[5]]
=> [[1,5],[2],[3],[4],[6]]
=> [[1,3],[2],[4],[5],[6]]
=> 4
[[1,2,3,4,5],[6]]
=> [[1,6],[2],[3],[4],[5]]
=> [[1,2],[3],[4],[5],[6]]
=> 5
[[1,3,5,6],[2,4]]
=> [[1,2],[3,4],[5],[6]]
=> [[1,4],[2,6],[3],[5]]
=> 4
Description
The charge of a standard tableau.
Matching statistic: St001161
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(load all 2 compositions to match this statistic)
Mp00134: Standard tableaux —descent word⟶ Binary words
Mp00178: Binary words —to composition⟶ Integer compositions
Mp00231: Integer compositions —bounce path⟶ Dyck paths
St001161: Dyck paths ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Mp00178: Binary words —to composition⟶ Integer compositions
Mp00231: Integer compositions —bounce path⟶ Dyck paths
St001161: Dyck paths ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> => [1] => [1,0]
=> 0
[[1,2]]
=> 0 => [2] => [1,1,0,0]
=> 0
[[1],[2]]
=> 1 => [1,1] => [1,0,1,0]
=> 1
[[1,2,3]]
=> 00 => [3] => [1,1,1,0,0,0]
=> 0
[[1,3],[2]]
=> 10 => [1,2] => [1,0,1,1,0,0]
=> 1
[[1,2],[3]]
=> 01 => [2,1] => [1,1,0,0,1,0]
=> 2
[[1],[2],[3]]
=> 11 => [1,1,1] => [1,0,1,0,1,0]
=> 3
[[1,2,3,4]]
=> 000 => [4] => [1,1,1,1,0,0,0,0]
=> 0
[[1,3,4],[2]]
=> 100 => [1,3] => [1,0,1,1,1,0,0,0]
=> 1
[[1,2,4],[3]]
=> 010 => [2,2] => [1,1,0,0,1,1,0,0]
=> 2
[[1,2,3],[4]]
=> 001 => [3,1] => [1,1,1,0,0,0,1,0]
=> 3
[[1,3],[2,4]]
=> 101 => [1,2,1] => [1,0,1,1,0,0,1,0]
=> 4
[[1,2],[3,4]]
=> 010 => [2,2] => [1,1,0,0,1,1,0,0]
=> 2
[[1,4],[2],[3]]
=> 110 => [1,1,2] => [1,0,1,0,1,1,0,0]
=> 3
[[1,3],[2],[4]]
=> 101 => [1,2,1] => [1,0,1,1,0,0,1,0]
=> 4
[[1,2],[3],[4]]
=> 011 => [2,1,1] => [1,1,0,0,1,0,1,0]
=> 5
[[1],[2],[3],[4]]
=> 111 => [1,1,1,1] => [1,0,1,0,1,0,1,0]
=> 6
[[1,2,3,4,5]]
=> 0000 => [5] => [1,1,1,1,1,0,0,0,0,0]
=> 0
[[1,3,4,5],[2]]
=> 1000 => [1,4] => [1,0,1,1,1,1,0,0,0,0]
=> 1
[[1,2,4,5],[3]]
=> 0100 => [2,3] => [1,1,0,0,1,1,1,0,0,0]
=> 2
[[1,2,3,5],[4]]
=> 0010 => [3,2] => [1,1,1,0,0,0,1,1,0,0]
=> 3
[[1,2,3,4],[5]]
=> 0001 => [4,1] => [1,1,1,1,0,0,0,0,1,0]
=> 4
[[1,3,5],[2,4]]
=> 1010 => [1,2,2] => [1,0,1,1,0,0,1,1,0,0]
=> 4
[[1,2,5],[3,4]]
=> 0100 => [2,3] => [1,1,0,0,1,1,1,0,0,0]
=> 2
[[1,3,4],[2,5]]
=> 1001 => [1,3,1] => [1,0,1,1,1,0,0,0,1,0]
=> 5
[[1,2,4],[3,5]]
=> 0101 => [2,2,1] => [1,1,0,0,1,1,0,0,1,0]
=> 6
[[1,2,3],[4,5]]
=> 0010 => [3,2] => [1,1,1,0,0,0,1,1,0,0]
=> 3
[[1,4,5],[2],[3]]
=> 1100 => [1,1,3] => [1,0,1,0,1,1,1,0,0,0]
=> 3
[[1,3,5],[2],[4]]
=> 1010 => [1,2,2] => [1,0,1,1,0,0,1,1,0,0]
=> 4
[[1,2,5],[3],[4]]
=> 0110 => [2,1,2] => [1,1,0,0,1,0,1,1,0,0]
=> 5
[[1,3,4],[2],[5]]
=> 1001 => [1,3,1] => [1,0,1,1,1,0,0,0,1,0]
=> 5
[[1,2,4],[3],[5]]
=> 0101 => [2,2,1] => [1,1,0,0,1,1,0,0,1,0]
=> 6
[[1,2,3],[4],[5]]
=> 0011 => [3,1,1] => [1,1,1,0,0,0,1,0,1,0]
=> 7
[[1,4],[2,5],[3]]
=> 1101 => [1,1,2,1] => [1,0,1,0,1,1,0,0,1,0]
=> 7
[[1,3],[2,5],[4]]
=> 1010 => [1,2,2] => [1,0,1,1,0,0,1,1,0,0]
=> 4
[[1,2],[3,5],[4]]
=> 0110 => [2,1,2] => [1,1,0,0,1,0,1,1,0,0]
=> 5
[[1,3],[2,4],[5]]
=> 1011 => [1,2,1,1] => [1,0,1,1,0,0,1,0,1,0]
=> 8
[[1,2],[3,4],[5]]
=> 0101 => [2,2,1] => [1,1,0,0,1,1,0,0,1,0]
=> 6
[[1,5],[2],[3],[4]]
=> 1110 => [1,1,1,2] => [1,0,1,0,1,0,1,1,0,0]
=> 6
[[1,4],[2],[3],[5]]
=> 1101 => [1,1,2,1] => [1,0,1,0,1,1,0,0,1,0]
=> 7
[[1,3],[2],[4],[5]]
=> 1011 => [1,2,1,1] => [1,0,1,1,0,0,1,0,1,0]
=> 8
[[1,2],[3],[4],[5]]
=> 0111 => [2,1,1,1] => [1,1,0,0,1,0,1,0,1,0]
=> 9
[[1],[2],[3],[4],[5]]
=> 1111 => [1,1,1,1,1] => [1,0,1,0,1,0,1,0,1,0]
=> 10
[[1,2,3,4,5,6]]
=> 00000 => [6] => [1,1,1,1,1,1,0,0,0,0,0,0]
=> 0
[[1,3,4,5,6],[2]]
=> 10000 => [1,5] => [1,0,1,1,1,1,1,0,0,0,0,0]
=> 1
[[1,2,4,5,6],[3]]
=> 01000 => [2,4] => [1,1,0,0,1,1,1,1,0,0,0,0]
=> 2
[[1,2,3,5,6],[4]]
=> 00100 => [3,3] => [1,1,1,0,0,0,1,1,1,0,0,0]
=> 3
[[1,2,3,4,6],[5]]
=> 00010 => [4,2] => [1,1,1,1,0,0,0,0,1,1,0,0]
=> 4
[[1,2,3,4,5],[6]]
=> 00001 => [5,1] => [1,1,1,1,1,0,0,0,0,0,1,0]
=> 5
[[1,3,5,6],[2,4]]
=> 10100 => [1,2,3] => [1,0,1,1,0,0,1,1,1,0,0,0]
=> 4
Description
The major index north count of a Dyck path.
The descent set $\operatorname{des}(D)$ of a Dyck path $D = D_1 \cdots D_{2n}$ with $D_i \in \{N,E\}$ is given by all indices $i$ such that $D_i = E$ and $D_{i+1} = N$. This is, the positions of the valleys of $D$.
The '''major index''' of a Dyck path is then the sum of the positions of the valleys, $\sum_{i \in \operatorname{des}(D)} i$, see [[St000027]].
The '''major index north count''' is given by $\sum_{i \in \operatorname{des}(D)} \#\{ j \leq i \mid D_j = N\}$.
Matching statistic: St000391
Mp00134: Standard tableaux —descent word⟶ Binary words
St000391: Binary words ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
St000391: Binary words ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> => ? = 0
[[1,2]]
=> 0 => 0
[[1],[2]]
=> 1 => 1
[[1,2,3]]
=> 00 => 0
[[1,3],[2]]
=> 10 => 1
[[1,2],[3]]
=> 01 => 2
[[1],[2],[3]]
=> 11 => 3
[[1,2,3,4]]
=> 000 => 0
[[1,3,4],[2]]
=> 100 => 1
[[1,2,4],[3]]
=> 010 => 2
[[1,2,3],[4]]
=> 001 => 3
[[1,3],[2,4]]
=> 101 => 4
[[1,2],[3,4]]
=> 010 => 2
[[1,4],[2],[3]]
=> 110 => 3
[[1,3],[2],[4]]
=> 101 => 4
[[1,2],[3],[4]]
=> 011 => 5
[[1],[2],[3],[4]]
=> 111 => 6
[[1,2,3,4,5]]
=> 0000 => 0
[[1,3,4,5],[2]]
=> 1000 => 1
[[1,2,4,5],[3]]
=> 0100 => 2
[[1,2,3,5],[4]]
=> 0010 => 3
[[1,2,3,4],[5]]
=> 0001 => 4
[[1,3,5],[2,4]]
=> 1010 => 4
[[1,2,5],[3,4]]
=> 0100 => 2
[[1,3,4],[2,5]]
=> 1001 => 5
[[1,2,4],[3,5]]
=> 0101 => 6
[[1,2,3],[4,5]]
=> 0010 => 3
[[1,4,5],[2],[3]]
=> 1100 => 3
[[1,3,5],[2],[4]]
=> 1010 => 4
[[1,2,5],[3],[4]]
=> 0110 => 5
[[1,3,4],[2],[5]]
=> 1001 => 5
[[1,2,4],[3],[5]]
=> 0101 => 6
[[1,2,3],[4],[5]]
=> 0011 => 7
[[1,4],[2,5],[3]]
=> 1101 => 7
[[1,3],[2,5],[4]]
=> 1010 => 4
[[1,2],[3,5],[4]]
=> 0110 => 5
[[1,3],[2,4],[5]]
=> 1011 => 8
[[1,2],[3,4],[5]]
=> 0101 => 6
[[1,5],[2],[3],[4]]
=> 1110 => 6
[[1,4],[2],[3],[5]]
=> 1101 => 7
[[1,3],[2],[4],[5]]
=> 1011 => 8
[[1,2],[3],[4],[5]]
=> 0111 => 9
[[1],[2],[3],[4],[5]]
=> 1111 => 10
[[1,2,3,4,5,6]]
=> 00000 => 0
[[1,3,4,5,6],[2]]
=> 10000 => 1
[[1,2,4,5,6],[3]]
=> 01000 => 2
[[1,2,3,5,6],[4]]
=> 00100 => 3
[[1,2,3,4,6],[5]]
=> 00010 => 4
[[1,2,3,4,5],[6]]
=> 00001 => 5
[[1,3,5,6],[2,4]]
=> 10100 => 4
[[1,2,5,6],[3,4]]
=> 01000 => 2
[]
=> => ? = 0
Description
The sum of the positions of the ones in a binary word.
Matching statistic: St000947
Mp00134: Standard tableaux —descent word⟶ Binary words
Mp00178: Binary words —to composition⟶ Integer compositions
Mp00231: Integer compositions —bounce path⟶ Dyck paths
St000947: Dyck paths ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Mp00178: Binary words —to composition⟶ Integer compositions
Mp00231: Integer compositions —bounce path⟶ Dyck paths
St000947: Dyck paths ⟶ ℤResult quality: 100% ●values known / values provided: 100%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> => [1] => [1,0]
=> ? = 0
[[1,2]]
=> 0 => [2] => [1,1,0,0]
=> 0
[[1],[2]]
=> 1 => [1,1] => [1,0,1,0]
=> 1
[[1,2,3]]
=> 00 => [3] => [1,1,1,0,0,0]
=> 0
[[1,3],[2]]
=> 10 => [1,2] => [1,0,1,1,0,0]
=> 1
[[1,2],[3]]
=> 01 => [2,1] => [1,1,0,0,1,0]
=> 2
[[1],[2],[3]]
=> 11 => [1,1,1] => [1,0,1,0,1,0]
=> 3
[[1,2,3,4]]
=> 000 => [4] => [1,1,1,1,0,0,0,0]
=> 0
[[1,3,4],[2]]
=> 100 => [1,3] => [1,0,1,1,1,0,0,0]
=> 1
[[1,2,4],[3]]
=> 010 => [2,2] => [1,1,0,0,1,1,0,0]
=> 2
[[1,2,3],[4]]
=> 001 => [3,1] => [1,1,1,0,0,0,1,0]
=> 3
[[1,3],[2,4]]
=> 101 => [1,2,1] => [1,0,1,1,0,0,1,0]
=> 4
[[1,2],[3,4]]
=> 010 => [2,2] => [1,1,0,0,1,1,0,0]
=> 2
[[1,4],[2],[3]]
=> 110 => [1,1,2] => [1,0,1,0,1,1,0,0]
=> 3
[[1,3],[2],[4]]
=> 101 => [1,2,1] => [1,0,1,1,0,0,1,0]
=> 4
[[1,2],[3],[4]]
=> 011 => [2,1,1] => [1,1,0,0,1,0,1,0]
=> 5
[[1],[2],[3],[4]]
=> 111 => [1,1,1,1] => [1,0,1,0,1,0,1,0]
=> 6
[[1,2,3,4,5]]
=> 0000 => [5] => [1,1,1,1,1,0,0,0,0,0]
=> 0
[[1,3,4,5],[2]]
=> 1000 => [1,4] => [1,0,1,1,1,1,0,0,0,0]
=> 1
[[1,2,4,5],[3]]
=> 0100 => [2,3] => [1,1,0,0,1,1,1,0,0,0]
=> 2
[[1,2,3,5],[4]]
=> 0010 => [3,2] => [1,1,1,0,0,0,1,1,0,0]
=> 3
[[1,2,3,4],[5]]
=> 0001 => [4,1] => [1,1,1,1,0,0,0,0,1,0]
=> 4
[[1,3,5],[2,4]]
=> 1010 => [1,2,2] => [1,0,1,1,0,0,1,1,0,0]
=> 4
[[1,2,5],[3,4]]
=> 0100 => [2,3] => [1,1,0,0,1,1,1,0,0,0]
=> 2
[[1,3,4],[2,5]]
=> 1001 => [1,3,1] => [1,0,1,1,1,0,0,0,1,0]
=> 5
[[1,2,4],[3,5]]
=> 0101 => [2,2,1] => [1,1,0,0,1,1,0,0,1,0]
=> 6
[[1,2,3],[4,5]]
=> 0010 => [3,2] => [1,1,1,0,0,0,1,1,0,0]
=> 3
[[1,4,5],[2],[3]]
=> 1100 => [1,1,3] => [1,0,1,0,1,1,1,0,0,0]
=> 3
[[1,3,5],[2],[4]]
=> 1010 => [1,2,2] => [1,0,1,1,0,0,1,1,0,0]
=> 4
[[1,2,5],[3],[4]]
=> 0110 => [2,1,2] => [1,1,0,0,1,0,1,1,0,0]
=> 5
[[1,3,4],[2],[5]]
=> 1001 => [1,3,1] => [1,0,1,1,1,0,0,0,1,0]
=> 5
[[1,2,4],[3],[5]]
=> 0101 => [2,2,1] => [1,1,0,0,1,1,0,0,1,0]
=> 6
[[1,2,3],[4],[5]]
=> 0011 => [3,1,1] => [1,1,1,0,0,0,1,0,1,0]
=> 7
[[1,4],[2,5],[3]]
=> 1101 => [1,1,2,1] => [1,0,1,0,1,1,0,0,1,0]
=> 7
[[1,3],[2,5],[4]]
=> 1010 => [1,2,2] => [1,0,1,1,0,0,1,1,0,0]
=> 4
[[1,2],[3,5],[4]]
=> 0110 => [2,1,2] => [1,1,0,0,1,0,1,1,0,0]
=> 5
[[1,3],[2,4],[5]]
=> 1011 => [1,2,1,1] => [1,0,1,1,0,0,1,0,1,0]
=> 8
[[1,2],[3,4],[5]]
=> 0101 => [2,2,1] => [1,1,0,0,1,1,0,0,1,0]
=> 6
[[1,5],[2],[3],[4]]
=> 1110 => [1,1,1,2] => [1,0,1,0,1,0,1,1,0,0]
=> 6
[[1,4],[2],[3],[5]]
=> 1101 => [1,1,2,1] => [1,0,1,0,1,1,0,0,1,0]
=> 7
[[1,3],[2],[4],[5]]
=> 1011 => [1,2,1,1] => [1,0,1,1,0,0,1,0,1,0]
=> 8
[[1,2],[3],[4],[5]]
=> 0111 => [2,1,1,1] => [1,1,0,0,1,0,1,0,1,0]
=> 9
[[1],[2],[3],[4],[5]]
=> 1111 => [1,1,1,1,1] => [1,0,1,0,1,0,1,0,1,0]
=> 10
[[1,2,3,4,5,6]]
=> 00000 => [6] => [1,1,1,1,1,1,0,0,0,0,0,0]
=> 0
[[1,3,4,5,6],[2]]
=> 10000 => [1,5] => [1,0,1,1,1,1,1,0,0,0,0,0]
=> 1
[[1,2,4,5,6],[3]]
=> 01000 => [2,4] => [1,1,0,0,1,1,1,1,0,0,0,0]
=> 2
[[1,2,3,5,6],[4]]
=> 00100 => [3,3] => [1,1,1,0,0,0,1,1,1,0,0,0]
=> 3
[[1,2,3,4,6],[5]]
=> 00010 => [4,2] => [1,1,1,1,0,0,0,0,1,1,0,0]
=> 4
[[1,2,3,4,5],[6]]
=> 00001 => [5,1] => [1,1,1,1,1,0,0,0,0,0,1,0]
=> 5
[[1,3,5,6],[2,4]]
=> 10100 => [1,2,3] => [1,0,1,1,0,0,1,1,1,0,0,0]
=> 4
[[1,2,5,6],[3,4]]
=> 01000 => [2,4] => [1,1,0,0,1,1,1,1,0,0,0,0]
=> 2
[]
=> => [1] => [1,0]
=> ? = 0
Description
The major index east count of a Dyck path.
The descent set $\operatorname{des}(D)$ of a Dyck path $D = D_1 \cdots D_{2n}$ with $D_i \in \{N,E\}$ is given by all indices $i$ such that $D_i = E$ and $D_{i+1} = N$. This is, the positions of the valleys of $D$.
The '''major index''' of a Dyck path is then the sum of the positions of the valleys, $\sum_{i \in \operatorname{des}(D)} i$, see [[St000027]].
The '''major index east count''' is given by $\sum_{i \in \operatorname{des}(D)} \#\{ j \leq i \mid D_j = E\}$.
Matching statistic: St000081
Mp00134: Standard tableaux —descent word⟶ Binary words
Mp00178: Binary words —to composition⟶ Integer compositions
Mp00184: Integer compositions —to threshold graph⟶ Graphs
St000081: Graphs ⟶ ℤResult quality: 37% ●values known / values provided: 37%●distinct values known / distinct values provided: 93%
Mp00178: Binary words —to composition⟶ Integer compositions
Mp00184: Integer compositions —to threshold graph⟶ Graphs
St000081: Graphs ⟶ ℤResult quality: 37% ●values known / values provided: 37%●distinct values known / distinct values provided: 93%
Values
[[1]]
=> => [1] => ([],1)
=> 0
[[1,2]]
=> 0 => [2] => ([],2)
=> 0
[[1],[2]]
=> 1 => [1,1] => ([(0,1)],2)
=> 1
[[1,2,3]]
=> 00 => [3] => ([],3)
=> 0
[[1,3],[2]]
=> 10 => [1,2] => ([(1,2)],3)
=> 1
[[1,2],[3]]
=> 01 => [2,1] => ([(0,2),(1,2)],3)
=> 2
[[1],[2],[3]]
=> 11 => [1,1,1] => ([(0,1),(0,2),(1,2)],3)
=> 3
[[1,2,3,4]]
=> 000 => [4] => ([],4)
=> 0
[[1,3,4],[2]]
=> 100 => [1,3] => ([(2,3)],4)
=> 1
[[1,2,4],[3]]
=> 010 => [2,2] => ([(1,3),(2,3)],4)
=> 2
[[1,2,3],[4]]
=> 001 => [3,1] => ([(0,3),(1,3),(2,3)],4)
=> 3
[[1,3],[2,4]]
=> 101 => [1,2,1] => ([(0,3),(1,2),(1,3),(2,3)],4)
=> 4
[[1,2],[3,4]]
=> 010 => [2,2] => ([(1,3),(2,3)],4)
=> 2
[[1,4],[2],[3]]
=> 110 => [1,1,2] => ([(1,2),(1,3),(2,3)],4)
=> 3
[[1,3],[2],[4]]
=> 101 => [1,2,1] => ([(0,3),(1,2),(1,3),(2,3)],4)
=> 4
[[1,2],[3],[4]]
=> 011 => [2,1,1] => ([(0,2),(0,3),(1,2),(1,3),(2,3)],4)
=> 5
[[1],[2],[3],[4]]
=> 111 => [1,1,1,1] => ([(0,1),(0,2),(0,3),(1,2),(1,3),(2,3)],4)
=> 6
[[1,2,3,4,5]]
=> 0000 => [5] => ([],5)
=> 0
[[1,3,4,5],[2]]
=> 1000 => [1,4] => ([(3,4)],5)
=> 1
[[1,2,4,5],[3]]
=> 0100 => [2,3] => ([(2,4),(3,4)],5)
=> 2
[[1,2,3,5],[4]]
=> 0010 => [3,2] => ([(1,4),(2,4),(3,4)],5)
=> 3
[[1,2,3,4],[5]]
=> 0001 => [4,1] => ([(0,4),(1,4),(2,4),(3,4)],5)
=> 4
[[1,3,5],[2,4]]
=> 1010 => [1,2,2] => ([(1,4),(2,3),(2,4),(3,4)],5)
=> 4
[[1,2,5],[3,4]]
=> 0100 => [2,3] => ([(2,4),(3,4)],5)
=> 2
[[1,3,4],[2,5]]
=> 1001 => [1,3,1] => ([(0,4),(1,4),(2,3),(2,4),(3,4)],5)
=> 5
[[1,2,4],[3,5]]
=> 0101 => [2,2,1] => ([(0,4),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 6
[[1,2,3],[4,5]]
=> 0010 => [3,2] => ([(1,4),(2,4),(3,4)],5)
=> 3
[[1,4,5],[2],[3]]
=> 1100 => [1,1,3] => ([(2,3),(2,4),(3,4)],5)
=> 3
[[1,3,5],[2],[4]]
=> 1010 => [1,2,2] => ([(1,4),(2,3),(2,4),(3,4)],5)
=> 4
[[1,2,5],[3],[4]]
=> 0110 => [2,1,2] => ([(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 5
[[1,3,4],[2],[5]]
=> 1001 => [1,3,1] => ([(0,4),(1,4),(2,3),(2,4),(3,4)],5)
=> 5
[[1,2,4],[3],[5]]
=> 0101 => [2,2,1] => ([(0,4),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 6
[[1,2,3],[4],[5]]
=> 0011 => [3,1,1] => ([(0,3),(0,4),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 7
[[1,4],[2,5],[3]]
=> 1101 => [1,1,2,1] => ([(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 7
[[1,3],[2,5],[4]]
=> 1010 => [1,2,2] => ([(1,4),(2,3),(2,4),(3,4)],5)
=> 4
[[1,2],[3,5],[4]]
=> 0110 => [2,1,2] => ([(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 5
[[1,3],[2,4],[5]]
=> 1011 => [1,2,1,1] => ([(0,3),(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 8
[[1,2],[3,4],[5]]
=> 0101 => [2,2,1] => ([(0,4),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 6
[[1,5],[2],[3],[4]]
=> 1110 => [1,1,1,2] => ([(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 6
[[1,4],[2],[3],[5]]
=> 1101 => [1,1,2,1] => ([(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 7
[[1,3],[2],[4],[5]]
=> 1011 => [1,2,1,1] => ([(0,3),(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 8
[[1,2],[3],[4],[5]]
=> 0111 => [2,1,1,1] => ([(0,2),(0,3),(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 9
[[1],[2],[3],[4],[5]]
=> 1111 => [1,1,1,1,1] => ([(0,1),(0,2),(0,3),(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)],5)
=> 10
[[1,2,3,4,5,6]]
=> 00000 => [6] => ([],6)
=> 0
[[1,3,4,5,6],[2]]
=> 10000 => [1,5] => ([(4,5)],6)
=> 1
[[1,2,4,5,6],[3]]
=> 01000 => [2,4] => ([(3,5),(4,5)],6)
=> 2
[[1,2,3,5,6],[4]]
=> 00100 => [3,3] => ([(2,5),(3,5),(4,5)],6)
=> 3
[[1,2,3,4,6],[5]]
=> 00010 => [4,2] => ([(1,5),(2,5),(3,5),(4,5)],6)
=> 4
[[1,2,3,4,5],[6]]
=> 00001 => [5,1] => ([(0,5),(1,5),(2,5),(3,5),(4,5)],6)
=> 5
[[1,3,5,6],[2,4]]
=> 10100 => [1,2,3] => ([(2,5),(3,4),(3,5),(4,5)],6)
=> 4
[[1,3,4,5,6,7,8],[2]]
=> 1000000 => [1,7] => ([(6,7)],8)
=> ? = 1
[[1,2,4,5,6,7,8],[3]]
=> 0100000 => [2,6] => ([(5,7),(6,7)],8)
=> ? = 2
[[1,3,5,6,7,8],[2,4]]
=> 1010000 => [1,2,5] => ([(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 4
[[1,2,5,6,7,8],[3,4]]
=> 0100000 => [2,6] => ([(5,7),(6,7)],8)
=> ? = 2
[[1,3,4,6,7,8],[2,5]]
=> 1001000 => [1,3,4] => ([(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 5
[[1,2,4,6,7,8],[3,5]]
=> 0101000 => [2,2,4] => ([(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,3,4,5,7,8],[2,6]]
=> 1000100 => [1,4,3] => ([(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,2,4,5,7,8],[3,6]]
=> 0100100 => [2,3,3] => ([(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,3,4,5,6,8],[2,7]]
=> 1000010 => [1,5,2] => ([(1,7),(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,2,4,5,6,8],[3,7]]
=> 0100010 => [2,4,2] => ([(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,3,4,5,6,7],[2,8]]
=> 1000001 => [1,6,1] => ([(0,7),(1,7),(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,2,4,5,6,7],[3,8]]
=> 0100001 => [2,5,1] => ([(0,7),(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 9
[[1,4,5,6,7,8],[2],[3]]
=> 1100000 => [1,1,6] => ([(5,6),(5,7),(6,7)],8)
=> ? = 3
[[1,3,5,6,7,8],[2],[4]]
=> 1010000 => [1,2,5] => ([(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 4
[[1,2,5,6,7,8],[3],[4]]
=> 0110000 => [2,1,5] => ([(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 5
[[1,3,4,6,7,8],[2],[5]]
=> 1001000 => [1,3,4] => ([(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 5
[[1,2,4,6,7,8],[3],[5]]
=> 0101000 => [2,2,4] => ([(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,3,4,5,7,8],[2],[6]]
=> 1000100 => [1,4,3] => ([(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,2,4,5,7,8],[3],[6]]
=> 0100100 => [2,3,3] => ([(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,3,4,5,6,8],[2],[7]]
=> 1000010 => [1,5,2] => ([(1,7),(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,2,4,5,6,8],[3],[7]]
=> 0100010 => [2,4,2] => ([(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,3,4,5,6,7],[2],[8]]
=> 1000001 => [1,6,1] => ([(0,7),(1,7),(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,2,4,5,6,7],[3],[8]]
=> 0100001 => [2,5,1] => ([(0,7),(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 9
[[1,3,5,7,8],[2,4,6]]
=> 1010100 => [1,2,2,3] => ([(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 9
[[1,2,5,7,8],[3,4,6]]
=> 0100100 => [2,3,3] => ([(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,3,4,7,8],[2,5,6]]
=> 1001000 => [1,3,4] => ([(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 5
[[1,2,4,7,8],[3,5,6]]
=> 0101000 => [2,2,4] => ([(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,3,5,6,8],[2,4,7]]
=> 1010010 => [1,2,3,2] => ([(1,7),(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 10
[[1,2,5,6,8],[3,4,7]]
=> 0100010 => [2,4,2] => ([(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,3,4,6,8],[2,5,7]]
=> 1001010 => [1,3,2,2] => ([(1,7),(2,6),(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 11
[[1,2,4,6,8],[3,5,7]]
=> 0101010 => [2,2,2,2] => ([(1,7),(2,6),(2,7),(3,5),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 12
[[1,3,4,5,8],[2,6,7]]
=> 1000100 => [1,4,3] => ([(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,2,4,5,8],[3,6,7]]
=> 0100100 => [2,3,3] => ([(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,3,5,6,7],[2,4,8]]
=> 1010001 => [1,2,4,1] => ([(0,7),(1,7),(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 11
[[1,2,5,6,7],[3,4,8]]
=> 0100001 => [2,5,1] => ([(0,7),(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 9
[[1,3,4,6,7],[2,5,8]]
=> 1001001 => [1,3,3,1] => ([(0,7),(1,7),(2,6),(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 12
[[1,2,4,6,7],[3,5,8]]
=> 0101001 => [2,2,3,1] => ([(0,7),(1,7),(2,6),(2,7),(3,5),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 13
[[1,3,4,5,7],[2,6,8]]
=> 1000101 => [1,4,2,1] => ([(0,7),(1,6),(1,7),(2,6),(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 13
[[1,2,4,5,7],[3,6,8]]
=> 0100101 => [2,3,2,1] => ([(0,7),(1,6),(1,7),(2,6),(2,7),(3,5),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 14
[[1,3,4,5,6],[2,7,8]]
=> 1000010 => [1,5,2] => ([(1,7),(2,7),(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,2,4,5,6],[3,7,8]]
=> 0100010 => [2,4,2] => ([(1,7),(2,7),(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,4,6,7,8],[2,5],[3]]
=> 1101000 => [1,1,2,4] => ([(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 7
[[1,3,6,7,8],[2,5],[4]]
=> 1010000 => [1,2,5] => ([(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 4
[[1,2,6,7,8],[3,5],[4]]
=> 0110000 => [2,1,5] => ([(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 5
[[1,3,6,7,8],[2,4],[5]]
=> 1011000 => [1,2,1,4] => ([(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,2,6,7,8],[3,4],[5]]
=> 0101000 => [2,2,4] => ([(3,7),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 6
[[1,4,5,7,8],[2,6],[3]]
=> 1100100 => [1,1,3,3] => ([(2,7),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 8
[[1,3,5,7,8],[2,6],[4]]
=> 1010100 => [1,2,2,3] => ([(2,7),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 9
[[1,2,5,7,8],[3,6],[4]]
=> 0110100 => [2,1,2,3] => ([(2,7),(3,5),(3,6),(3,7),(4,5),(4,6),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 10
[[1,3,4,7,8],[2,6],[5]]
=> 1001000 => [1,3,4] => ([(3,7),(4,7),(5,6),(5,7),(6,7)],8)
=> ? = 5
Description
The number of edges of a graph.
Matching statistic: St000018
(load all 2 compositions to match this statistic)
(load all 2 compositions to match this statistic)
Mp00081: Standard tableaux —reading word permutation⟶ Permutations
Mp00066: Permutations —inverse⟶ Permutations
Mp00073: Permutations —major-index to inversion-number bijection⟶ Permutations
St000018: Permutations ⟶ ℤResult quality: 23% ●values known / values provided: 23%●distinct values known / distinct values provided: 100%
Mp00066: Permutations —inverse⟶ Permutations
Mp00073: Permutations —major-index to inversion-number bijection⟶ Permutations
St000018: Permutations ⟶ ℤResult quality: 23% ●values known / values provided: 23%●distinct values known / distinct values provided: 100%
Values
[[1]]
=> [1] => [1] => [1] => 0
[[1,2]]
=> [1,2] => [1,2] => [1,2] => 0
[[1],[2]]
=> [2,1] => [2,1] => [2,1] => 1
[[1,2,3]]
=> [1,2,3] => [1,2,3] => [1,2,3] => 0
[[1,3],[2]]
=> [2,1,3] => [2,1,3] => [2,1,3] => 1
[[1,2],[3]]
=> [3,1,2] => [2,3,1] => [3,1,2] => 2
[[1],[2],[3]]
=> [3,2,1] => [3,2,1] => [3,2,1] => 3
[[1,2,3,4]]
=> [1,2,3,4] => [1,2,3,4] => [1,2,3,4] => 0
[[1,3,4],[2]]
=> [2,1,3,4] => [2,1,3,4] => [2,1,3,4] => 1
[[1,2,4],[3]]
=> [3,1,2,4] => [2,3,1,4] => [3,1,2,4] => 2
[[1,2,3],[4]]
=> [4,1,2,3] => [2,3,4,1] => [4,1,2,3] => 3
[[1,3],[2,4]]
=> [2,4,1,3] => [3,1,4,2] => [3,4,1,2] => 4
[[1,2],[3,4]]
=> [3,4,1,2] => [3,4,1,2] => [1,4,2,3] => 2
[[1,4],[2],[3]]
=> [3,2,1,4] => [3,2,1,4] => [3,2,1,4] => 3
[[1,3],[2],[4]]
=> [4,2,1,3] => [3,2,4,1] => [4,2,1,3] => 4
[[1,2],[3],[4]]
=> [4,3,1,2] => [3,4,2,1] => [4,3,1,2] => 5
[[1],[2],[3],[4]]
=> [4,3,2,1] => [4,3,2,1] => [4,3,2,1] => 6
[[1,2,3,4,5]]
=> [1,2,3,4,5] => [1,2,3,4,5] => [1,2,3,4,5] => 0
[[1,3,4,5],[2]]
=> [2,1,3,4,5] => [2,1,3,4,5] => [2,1,3,4,5] => 1
[[1,2,4,5],[3]]
=> [3,1,2,4,5] => [2,3,1,4,5] => [3,1,2,4,5] => 2
[[1,2,3,5],[4]]
=> [4,1,2,3,5] => [2,3,4,1,5] => [4,1,2,3,5] => 3
[[1,2,3,4],[5]]
=> [5,1,2,3,4] => [2,3,4,5,1] => [5,1,2,3,4] => 4
[[1,3,5],[2,4]]
=> [2,4,1,3,5] => [3,1,4,2,5] => [3,4,1,2,5] => 4
[[1,2,5],[3,4]]
=> [3,4,1,2,5] => [3,4,1,2,5] => [1,4,2,3,5] => 2
[[1,3,4],[2,5]]
=> [2,5,1,3,4] => [3,1,4,5,2] => [3,5,1,2,4] => 5
[[1,2,4],[3,5]]
=> [3,5,1,2,4] => [3,4,1,5,2] => [4,5,1,2,3] => 6
[[1,2,3],[4,5]]
=> [4,5,1,2,3] => [3,4,5,1,2] => [1,5,2,3,4] => 3
[[1,4,5],[2],[3]]
=> [3,2,1,4,5] => [3,2,1,4,5] => [3,2,1,4,5] => 3
[[1,3,5],[2],[4]]
=> [4,2,1,3,5] => [3,2,4,1,5] => [4,2,1,3,5] => 4
[[1,2,5],[3],[4]]
=> [4,3,1,2,5] => [3,4,2,1,5] => [4,3,1,2,5] => 5
[[1,3,4],[2],[5]]
=> [5,2,1,3,4] => [3,2,4,5,1] => [5,2,1,3,4] => 5
[[1,2,4],[3],[5]]
=> [5,3,1,2,4] => [3,4,2,5,1] => [5,3,1,2,4] => 6
[[1,2,3],[4],[5]]
=> [5,4,1,2,3] => [3,4,5,2,1] => [5,4,1,2,3] => 7
[[1,4],[2,5],[3]]
=> [3,2,5,1,4] => [4,2,1,5,3] => [4,3,5,1,2] => 7
[[1,3],[2,5],[4]]
=> [4,2,5,1,3] => [4,2,5,1,3] => [1,4,5,2,3] => 4
[[1,2],[3,5],[4]]
=> [4,3,5,1,2] => [4,5,2,1,3] => [4,1,5,2,3] => 5
[[1,3],[2,4],[5]]
=> [5,2,4,1,3] => [4,2,5,3,1] => [5,3,4,1,2] => 8
[[1,2],[3,4],[5]]
=> [5,3,4,1,2] => [4,5,2,3,1] => [5,1,4,2,3] => 6
[[1,5],[2],[3],[4]]
=> [4,3,2,1,5] => [4,3,2,1,5] => [4,3,2,1,5] => 6
[[1,4],[2],[3],[5]]
=> [5,3,2,1,4] => [4,3,2,5,1] => [5,3,2,1,4] => 7
[[1,3],[2],[4],[5]]
=> [5,4,2,1,3] => [4,3,5,2,1] => [5,4,2,1,3] => 8
[[1,2],[3],[4],[5]]
=> [5,4,3,1,2] => [4,5,3,2,1] => [5,4,3,1,2] => 9
[[1],[2],[3],[4],[5]]
=> [5,4,3,2,1] => [5,4,3,2,1] => [5,4,3,2,1] => 10
[[1,2,3,4,5,6]]
=> [1,2,3,4,5,6] => [1,2,3,4,5,6] => [1,2,3,4,5,6] => 0
[[1,3,4,5,6],[2]]
=> [2,1,3,4,5,6] => [2,1,3,4,5,6] => [2,1,3,4,5,6] => 1
[[1,2,4,5,6],[3]]
=> [3,1,2,4,5,6] => [2,3,1,4,5,6] => [3,1,2,4,5,6] => 2
[[1,2,3,5,6],[4]]
=> [4,1,2,3,5,6] => [2,3,4,1,5,6] => [4,1,2,3,5,6] => 3
[[1,2,3,4,6],[5]]
=> [5,1,2,3,4,6] => [2,3,4,5,1,6] => [5,1,2,3,4,6] => 4
[[1,2,3,4,5],[6]]
=> [6,1,2,3,4,5] => [2,3,4,5,6,1] => [6,1,2,3,4,5] => 5
[[1,3,5,6],[2,4]]
=> [2,4,1,3,5,6] => [3,1,4,2,5,6] => [3,4,1,2,5,6] => 4
[[1,2,5,6,7],[3,4]]
=> [3,4,1,2,5,6,7] => [3,4,1,2,5,6,7] => [1,4,2,3,5,6,7] => ? = 2
[[1,3,4,6,7],[2,5]]
=> [2,5,1,3,4,6,7] => [3,1,4,5,2,6,7] => [3,5,1,2,4,6,7] => ? = 5
[[1,2,4,6,7],[3,5]]
=> [3,5,1,2,4,6,7] => [3,4,1,5,2,6,7] => [4,5,1,2,3,6,7] => ? = 6
[[1,2,3,6,7],[4,5]]
=> [4,5,1,2,3,6,7] => [3,4,5,1,2,6,7] => [1,5,2,3,4,6,7] => ? = 3
[[1,2,3,4,7],[5,6]]
=> [5,6,1,2,3,4,7] => [3,4,5,6,1,2,7] => [1,6,2,3,4,5,7] => ? = 4
[[1,3,4,5,6],[2,7]]
=> [2,7,1,3,4,5,6] => [3,1,4,5,6,7,2] => [3,7,1,2,4,5,6] => ? = 7
[[1,2,4,5,6],[3,7]]
=> [3,7,1,2,4,5,6] => [3,4,1,5,6,7,2] => [4,7,1,2,3,5,6] => ? = 8
[[1,2,3,5,6],[4,7]]
=> [4,7,1,2,3,5,6] => [3,4,5,1,6,7,2] => [5,7,1,2,3,4,6] => ? = 9
[[1,3,5,6,7],[2],[4]]
=> [4,2,1,3,5,6,7] => [3,2,4,1,5,6,7] => [4,2,1,3,5,6,7] => ? = 4
[[1,2,5,6,7],[3],[4]]
=> [4,3,1,2,5,6,7] => [3,4,2,1,5,6,7] => [4,3,1,2,5,6,7] => ? = 5
[[1,3,4,6,7],[2],[5]]
=> [5,2,1,3,4,6,7] => [3,2,4,5,1,6,7] => [5,2,1,3,4,6,7] => ? = 5
[[1,2,4,6,7],[3],[5]]
=> [5,3,1,2,4,6,7] => [3,4,2,5,1,6,7] => [5,3,1,2,4,6,7] => ? = 6
[[1,2,3,6,7],[4],[5]]
=> [5,4,1,2,3,6,7] => [3,4,5,2,1,6,7] => [5,4,1,2,3,6,7] => ? = 7
[[1,3,4,5,7],[2],[6]]
=> [6,2,1,3,4,5,7] => [3,2,4,5,6,1,7] => [6,2,1,3,4,5,7] => ? = 6
[[1,2,4,5,7],[3],[6]]
=> [6,3,1,2,4,5,7] => [3,4,2,5,6,1,7] => [6,3,1,2,4,5,7] => ? = 7
[[1,2,3,5,7],[4],[6]]
=> [6,4,1,2,3,5,7] => [3,4,5,2,6,1,7] => [6,4,1,2,3,5,7] => ? = 8
[[1,2,3,4,7],[5],[6]]
=> [6,5,1,2,3,4,7] => [3,4,5,6,2,1,7] => [6,5,1,2,3,4,7] => ? = 9
[[1,2,5,7],[3,4,6]]
=> [3,4,6,1,2,5,7] => [4,5,1,2,6,3,7] => [2,5,6,1,3,4,7] => ? = 7
[[1,3,4,7],[2,5,6]]
=> [2,5,6,1,3,4,7] => [4,1,5,6,2,3,7] => [3,1,6,2,4,5,7] => ? = 5
[[1,2,3,7],[4,5,6]]
=> [4,5,6,1,2,3,7] => [4,5,6,1,2,3,7] => [1,2,6,3,4,5,7] => ? = 3
[[1,3,5,6],[2,4,7]]
=> [2,4,7,1,3,5,6] => [4,1,5,2,6,7,3] => [4,5,7,1,2,3,6] => ? = 10
[[1,3,4,6],[2,5,7]]
=> [2,5,7,1,3,4,6] => [4,1,5,6,2,7,3] => [4,6,7,1,2,3,5] => ? = 11
[[1,3,4,5],[2,6,7]]
=> [2,6,7,1,3,4,5] => [4,1,5,6,7,2,3] => [3,1,7,2,4,5,6] => ? = 6
[[1,2,4,5],[3,6,7]]
=> [3,6,7,1,2,4,5] => [4,5,1,6,7,2,3] => [4,1,7,2,3,5,6] => ? = 7
[[1,2,3,5],[4,6,7]]
=> [4,6,7,1,2,3,5] => [4,5,6,1,7,2,3] => [5,1,7,2,3,4,6] => ? = 8
[[1,2,3,4],[5,6,7]]
=> [5,6,7,1,2,3,4] => [4,5,6,7,1,2,3] => [1,2,7,3,4,5,6] => ? = 4
[[1,4,6,7],[2,5],[3]]
=> [3,2,5,1,4,6,7] => [4,2,1,5,3,6,7] => [4,3,5,1,2,6,7] => ? = 7
[[1,3,6,7],[2,5],[4]]
=> [4,2,5,1,3,6,7] => [4,2,5,1,3,6,7] => [1,4,5,2,3,6,7] => ? = 4
[[1,2,6,7],[3,5],[4]]
=> [4,3,5,1,2,6,7] => [4,5,2,1,3,6,7] => [4,1,5,2,3,6,7] => ? = 5
[[1,3,6,7],[2,4],[5]]
=> [5,2,4,1,3,6,7] => [4,2,5,3,1,6,7] => [5,3,4,1,2,6,7] => ? = 8
[[1,2,6,7],[3,4],[5]]
=> [5,3,4,1,2,6,7] => [4,5,2,3,1,6,7] => [5,1,4,2,3,6,7] => ? = 6
[[1,4,5,7],[2,6],[3]]
=> [3,2,6,1,4,5,7] => [4,2,1,5,6,3,7] => [4,3,6,1,2,5,7] => ? = 8
[[1,3,5,7],[2,6],[4]]
=> [4,2,6,1,3,5,7] => [4,2,5,1,6,3,7] => [5,3,6,1,2,4,7] => ? = 9
[[1,2,5,7],[3,6],[4]]
=> [4,3,6,1,2,5,7] => [4,5,2,1,6,3,7] => [5,4,6,1,2,3,7] => ? = 10
[[1,3,4,7],[2,6],[5]]
=> [5,2,6,1,3,4,7] => [4,2,5,6,1,3,7] => [1,4,6,2,3,5,7] => ? = 5
[[1,2,4,7],[3,6],[5]]
=> [5,3,6,1,2,4,7] => [4,5,2,6,1,3,7] => [1,5,6,2,3,4,7] => ? = 6
[[1,3,5,7],[2,4],[6]]
=> [6,2,4,1,3,5,7] => [4,2,5,3,6,1,7] => [6,3,4,1,2,5,7] => ? = 9
[[1,2,5,7],[3,4],[6]]
=> [6,3,4,1,2,5,7] => [4,5,2,3,6,1,7] => [6,1,4,2,3,5,7] => ? = 7
[[1,3,4,7],[2,5],[6]]
=> [6,2,5,1,3,4,7] => [4,2,5,6,3,1,7] => [6,3,5,1,2,4,7] => ? = 10
[[1,2,4,7],[3,5],[6]]
=> [6,3,5,1,2,4,7] => [4,5,2,6,3,1,7] => [6,4,5,1,2,3,7] => ? = 11
[[1,2,3,7],[4,5],[6]]
=> [6,4,5,1,2,3,7] => [4,5,6,2,3,1,7] => [6,1,5,2,3,4,7] => ? = 8
[[1,4,5,6],[2,7],[3]]
=> [3,2,7,1,4,5,6] => [4,2,1,5,6,7,3] => [4,3,7,1,2,5,6] => ? = 9
[[1,3,5,6],[2,7],[4]]
=> [4,2,7,1,3,5,6] => [4,2,5,1,6,7,3] => [5,3,7,1,2,4,6] => ? = 10
[[1,2,5,6],[3,7],[4]]
=> [4,3,7,1,2,5,6] => [4,5,2,1,6,7,3] => [5,4,7,1,2,3,6] => ? = 11
[[1,3,4,6],[2,7],[5]]
=> [5,2,7,1,3,4,6] => [4,2,5,6,1,7,3] => [6,3,7,1,2,4,5] => ? = 11
[[1,2,4,6],[3,7],[5]]
=> [5,3,7,1,2,4,6] => [4,5,2,6,1,7,3] => [6,4,7,1,2,3,5] => ? = 12
[[1,2,3,6],[4,7],[5]]
=> [5,4,7,1,2,3,6] => [4,5,6,2,1,7,3] => [6,5,7,1,2,3,4] => ? = 13
[[1,2,3,4],[5,7],[6]]
=> [6,5,7,1,2,3,4] => [4,5,6,7,2,1,3] => [6,1,7,2,3,4,5] => ? = 9
[[1,2,5,6],[3,4],[7]]
=> [7,3,4,1,2,5,6] => [4,5,2,3,6,7,1] => [7,1,4,2,3,5,6] => ? = 8
[[1,3,4,6],[2,5],[7]]
=> [7,2,5,1,3,4,6] => [4,2,5,6,3,7,1] => [7,3,5,1,2,4,6] => ? = 11
Description
The number of inversions of a permutation.
This equals the minimal number of simple transpositions $(i,i+1)$ needed to write $\pi$. Thus, it is also the Coxeter length of $\pi$.
Matching statistic: St000446
(load all 5 compositions to match this statistic)
(load all 5 compositions to match this statistic)
Mp00085: Standard tableaux —Schützenberger involution⟶ Standard tableaux
Mp00081: Standard tableaux —reading word permutation⟶ Permutations
Mp00067: Permutations —Foata bijection⟶ Permutations
St000446: Permutations ⟶ ℤResult quality: 23% ●values known / values provided: 23%●distinct values known / distinct values provided: 55%
Mp00081: Standard tableaux —reading word permutation⟶ Permutations
Mp00067: Permutations —Foata bijection⟶ Permutations
St000446: Permutations ⟶ ℤResult quality: 23% ●values known / values provided: 23%●distinct values known / distinct values provided: 55%
Values
[[1]]
=> [[1]]
=> [1] => [1] => 0
[[1,2]]
=> [[1,2]]
=> [1,2] => [1,2] => 0
[[1],[2]]
=> [[1],[2]]
=> [2,1] => [2,1] => 1
[[1,2,3]]
=> [[1,2,3]]
=> [1,2,3] => [1,2,3] => 0
[[1,3],[2]]
=> [[1,2],[3]]
=> [3,1,2] => [1,3,2] => 1
[[1,2],[3]]
=> [[1,3],[2]]
=> [2,1,3] => [2,1,3] => 2
[[1],[2],[3]]
=> [[1],[2],[3]]
=> [3,2,1] => [3,2,1] => 3
[[1,2,3,4]]
=> [[1,2,3,4]]
=> [1,2,3,4] => [1,2,3,4] => 0
[[1,3,4],[2]]
=> [[1,2,3],[4]]
=> [4,1,2,3] => [1,2,4,3] => 1
[[1,2,4],[3]]
=> [[1,2,4],[3]]
=> [3,1,2,4] => [1,3,2,4] => 2
[[1,2,3],[4]]
=> [[1,3,4],[2]]
=> [2,1,3,4] => [2,1,3,4] => 3
[[1,3],[2,4]]
=> [[1,3],[2,4]]
=> [2,4,1,3] => [2,1,4,3] => 4
[[1,2],[3,4]]
=> [[1,2],[3,4]]
=> [3,4,1,2] => [1,3,4,2] => 2
[[1,4],[2],[3]]
=> [[1,2],[3],[4]]
=> [4,3,1,2] => [1,4,3,2] => 3
[[1,3],[2],[4]]
=> [[1,3],[2],[4]]
=> [4,2,1,3] => [2,4,1,3] => 4
[[1,2],[3],[4]]
=> [[1,4],[2],[3]]
=> [3,2,1,4] => [3,2,1,4] => 5
[[1],[2],[3],[4]]
=> [[1],[2],[3],[4]]
=> [4,3,2,1] => [4,3,2,1] => 6
[[1,2,3,4,5]]
=> [[1,2,3,4,5]]
=> [1,2,3,4,5] => [1,2,3,4,5] => 0
[[1,3,4,5],[2]]
=> [[1,2,3,4],[5]]
=> [5,1,2,3,4] => [1,2,3,5,4] => 1
[[1,2,4,5],[3]]
=> [[1,2,3,5],[4]]
=> [4,1,2,3,5] => [1,2,4,3,5] => 2
[[1,2,3,5],[4]]
=> [[1,2,4,5],[3]]
=> [3,1,2,4,5] => [1,3,2,4,5] => 3
[[1,2,3,4],[5]]
=> [[1,3,4,5],[2]]
=> [2,1,3,4,5] => [2,1,3,4,5] => 4
[[1,3,5],[2,4]]
=> [[1,2,4],[3,5]]
=> [3,5,1,2,4] => [1,3,2,5,4] => 4
[[1,2,5],[3,4]]
=> [[1,2,3],[4,5]]
=> [4,5,1,2,3] => [1,2,4,5,3] => 2
[[1,3,4],[2,5]]
=> [[1,3,4],[2,5]]
=> [2,5,1,3,4] => [2,1,3,5,4] => 5
[[1,2,4],[3,5]]
=> [[1,3,5],[2,4]]
=> [2,4,1,3,5] => [2,1,4,3,5] => 6
[[1,2,3],[4,5]]
=> [[1,2,5],[3,4]]
=> [3,4,1,2,5] => [1,3,4,2,5] => 3
[[1,4,5],[2],[3]]
=> [[1,2,3],[4],[5]]
=> [5,4,1,2,3] => [1,2,5,4,3] => 3
[[1,3,5],[2],[4]]
=> [[1,2,4],[3],[5]]
=> [5,3,1,2,4] => [1,3,5,2,4] => 4
[[1,2,5],[3],[4]]
=> [[1,2,5],[3],[4]]
=> [4,3,1,2,5] => [1,4,3,2,5] => 5
[[1,3,4],[2],[5]]
=> [[1,3,4],[2],[5]]
=> [5,2,1,3,4] => [2,1,5,3,4] => 5
[[1,2,4],[3],[5]]
=> [[1,3,5],[2],[4]]
=> [4,2,1,3,5] => [2,4,1,3,5] => 6
[[1,2,3],[4],[5]]
=> [[1,4,5],[2],[3]]
=> [3,2,1,4,5] => [3,2,1,4,5] => 7
[[1,4],[2,5],[3]]
=> [[1,3],[2,4],[5]]
=> [5,2,4,1,3] => [2,1,5,4,3] => 7
[[1,3],[2,5],[4]]
=> [[1,2],[3,4],[5]]
=> [5,3,4,1,2] => [1,3,5,4,2] => 4
[[1,2],[3,5],[4]]
=> [[1,2],[3,5],[4]]
=> [4,3,5,1,2] => [1,4,3,5,2] => 5
[[1,3],[2,4],[5]]
=> [[1,4],[2,5],[3]]
=> [3,2,5,1,4] => [3,2,1,5,4] => 8
[[1,2],[3,4],[5]]
=> [[1,3],[2,5],[4]]
=> [4,2,5,1,3] => [2,4,1,5,3] => 6
[[1,5],[2],[3],[4]]
=> [[1,2],[3],[4],[5]]
=> [5,4,3,1,2] => [1,5,4,3,2] => 6
[[1,4],[2],[3],[5]]
=> [[1,3],[2],[4],[5]]
=> [5,4,2,1,3] => [2,5,4,1,3] => 7
[[1,3],[2],[4],[5]]
=> [[1,4],[2],[3],[5]]
=> [5,3,2,1,4] => [3,5,2,1,4] => 8
[[1,2],[3],[4],[5]]
=> [[1,5],[2],[3],[4]]
=> [4,3,2,1,5] => [4,3,2,1,5] => 9
[[1],[2],[3],[4],[5]]
=> [[1],[2],[3],[4],[5]]
=> [5,4,3,2,1] => [5,4,3,2,1] => 10
[[1,2,3,4,5,6]]
=> [[1,2,3,4,5,6]]
=> [1,2,3,4,5,6] => [1,2,3,4,5,6] => 0
[[1,3,4,5,6],[2]]
=> [[1,2,3,4,5],[6]]
=> [6,1,2,3,4,5] => [1,2,3,4,6,5] => 1
[[1,2,4,5,6],[3]]
=> [[1,2,3,4,6],[5]]
=> [5,1,2,3,4,6] => [1,2,3,5,4,6] => 2
[[1,2,3,5,6],[4]]
=> [[1,2,3,5,6],[4]]
=> [4,1,2,3,5,6] => [1,2,4,3,5,6] => 3
[[1,2,3,4,6],[5]]
=> [[1,2,4,5,6],[3]]
=> [3,1,2,4,5,6] => [1,3,2,4,5,6] => 4
[[1,2,3,4,5],[6]]
=> [[1,3,4,5,6],[2]]
=> [2,1,3,4,5,6] => [2,1,3,4,5,6] => 5
[[1,3,5,6],[2,4]]
=> [[1,2,3,5],[4,6]]
=> [4,6,1,2,3,5] => [1,2,4,3,6,5] => 4
[[1,2,3,4,5,6],[7]]
=> [[1,3,4,5,6,7],[2]]
=> [2,1,3,4,5,6,7] => [2,1,3,4,5,6,7] => ? = 6
[[1,3,4,5,6],[2,7]]
=> [[1,3,4,5,6],[2,7]]
=> [2,7,1,3,4,5,6] => [2,1,3,4,5,7,6] => ? = 7
[[1,2,4,5,6],[3,7]]
=> [[1,3,4,5,7],[2,6]]
=> [2,6,1,3,4,5,7] => [2,1,3,4,6,5,7] => ? = 8
[[1,2,3,5,6],[4,7]]
=> [[1,3,4,6,7],[2,5]]
=> [2,5,1,3,4,6,7] => [2,1,3,5,4,6,7] => ? = 9
[[1,2,3,4,6],[5,7]]
=> [[1,3,5,6,7],[2,4]]
=> [2,4,1,3,5,6,7] => [2,1,4,3,5,6,7] => ? = 10
[[1,3,4,5,6],[2],[7]]
=> [[1,3,4,5,6],[2],[7]]
=> [7,2,1,3,4,5,6] => [2,1,3,4,7,5,6] => ? = 7
[[1,2,4,5,6],[3],[7]]
=> [[1,3,4,5,7],[2],[6]]
=> [6,2,1,3,4,5,7] => [2,1,3,6,4,5,7] => ? = 8
[[1,2,3,5,6],[4],[7]]
=> [[1,3,4,6,7],[2],[5]]
=> [5,2,1,3,4,6,7] => [2,1,5,3,4,6,7] => ? = 9
[[1,2,3,4,6],[5],[7]]
=> [[1,3,5,6,7],[2],[4]]
=> [4,2,1,3,5,6,7] => [2,4,1,3,5,6,7] => ? = 10
[[1,2,3,4,5],[6],[7]]
=> [[1,4,5,6,7],[2],[3]]
=> [3,2,1,4,5,6,7] => [3,2,1,4,5,6,7] => ? = 11
[[1,3,5,6],[2,4,7]]
=> [[1,3,4,6],[2,5,7]]
=> [2,5,7,1,3,4,6] => [2,1,3,5,4,7,6] => ? = 10
[[1,2,5,6],[3,4,7]]
=> [[1,3,4,5],[2,6,7]]
=> [2,6,7,1,3,4,5] => [2,1,3,4,6,7,5] => ? = 8
[[1,3,4,6],[2,5,7]]
=> [[1,3,5,6],[2,4,7]]
=> [2,4,7,1,3,5,6] => [2,1,4,3,5,7,6] => ? = 11
[[1,2,4,6],[3,5,7]]
=> [[1,3,5,7],[2,4,6]]
=> [2,4,6,1,3,5,7] => [2,1,4,3,6,5,7] => ? = 12
[[1,2,3,6],[4,5,7]]
=> [[1,3,4,7],[2,5,6]]
=> [2,5,6,1,3,4,7] => [2,1,3,5,6,4,7] => ? = 9
[[1,4,5,6],[2,7],[3]]
=> [[1,3,4,5],[2,6],[7]]
=> [7,2,6,1,3,4,5] => [2,1,3,4,7,6,5] => ? = 9
[[1,3,5,6],[2,7],[4]]
=> [[1,3,4,6],[2,5],[7]]
=> [7,2,5,1,3,4,6] => [2,1,3,5,7,4,6] => ? = 10
[[1,2,5,6],[3,7],[4]]
=> [[1,3,4,7],[2,5],[6]]
=> [6,2,5,1,3,4,7] => [2,1,3,6,5,4,7] => ? = 11
[[1,3,4,6],[2,7],[5]]
=> [[1,3,5,6],[2,4],[7]]
=> [7,2,4,1,3,5,6] => [2,1,4,3,7,5,6] => ? = 11
[[1,2,4,6],[3,7],[5]]
=> [[1,3,5,7],[2,4],[6]]
=> [6,2,4,1,3,5,7] => [2,1,4,6,3,5,7] => ? = 12
[[1,2,3,6],[4,7],[5]]
=> [[1,3,6,7],[2,4],[5]]
=> [5,2,4,1,3,6,7] => [2,1,5,4,3,6,7] => ? = 13
[[1,3,5,6],[2,4],[7]]
=> [[1,3,4,6],[2,7],[5]]
=> [5,2,7,1,3,4,6] => [2,1,5,3,4,7,6] => ? = 10
[[1,2,5,6],[3,4],[7]]
=> [[1,3,4,5],[2,7],[6]]
=> [6,2,7,1,3,4,5] => [2,1,3,6,4,7,5] => ? = 8
[[1,3,4,6],[2,5],[7]]
=> [[1,3,5,6],[2,7],[4]]
=> [4,2,7,1,3,5,6] => [2,4,1,3,5,7,6] => ? = 11
[[1,2,4,6],[3,5],[7]]
=> [[1,3,5,7],[2,6],[4]]
=> [4,2,6,1,3,5,7] => [2,4,1,3,6,5,7] => ? = 12
[[1,2,3,6],[4,5],[7]]
=> [[1,3,4,7],[2,6],[5]]
=> [5,2,6,1,3,4,7] => [2,1,5,3,6,4,7] => ? = 9
[[1,3,4,5],[2,6],[7]]
=> [[1,4,5,6],[2,7],[3]]
=> [3,2,7,1,4,5,6] => [3,2,1,4,5,7,6] => ? = 12
[[1,2,4,5],[3,6],[7]]
=> [[1,4,5,7],[2,6],[3]]
=> [3,2,6,1,4,5,7] => [3,2,1,4,6,5,7] => ? = 13
[[1,2,3,5],[4,6],[7]]
=> [[1,4,6,7],[2,5],[3]]
=> [3,2,5,1,4,6,7] => [3,2,1,5,4,6,7] => ? = 14
[[1,2,3,4],[5,6],[7]]
=> [[1,3,6,7],[2,5],[4]]
=> [4,2,5,1,3,6,7] => [2,4,1,5,3,6,7] => ? = 10
[[1,2,3,7],[4],[5],[6]]
=> [[1,2,6,7],[3],[4],[5]]
=> [5,4,3,1,2,6,7] => [1,5,4,3,2,6,7] => ? = 12
[[1,4,5,6],[2],[3],[7]]
=> [[1,3,4,5],[2],[6],[7]]
=> [7,6,2,1,3,4,5] => [2,1,3,7,6,4,5] => ? = 9
[[1,3,5,6],[2],[4],[7]]
=> [[1,3,4,6],[2],[5],[7]]
=> [7,5,2,1,3,4,6] => [2,1,5,7,3,4,6] => ? = 10
[[1,2,5,6],[3],[4],[7]]
=> [[1,3,4,7],[2],[5],[6]]
=> [6,5,2,1,3,4,7] => [2,1,6,5,3,4,7] => ? = 11
[[1,3,4,6],[2],[5],[7]]
=> [[1,3,5,6],[2],[4],[7]]
=> [7,4,2,1,3,5,6] => [2,4,1,7,3,5,6] => ? = 11
[[1,2,4,6],[3],[5],[7]]
=> [[1,3,5,7],[2],[4],[6]]
=> [6,4,2,1,3,5,7] => [2,4,6,1,3,5,7] => ? = 12
[[1,2,3,6],[4],[5],[7]]
=> [[1,3,6,7],[2],[4],[5]]
=> [5,4,2,1,3,6,7] => [2,5,4,1,3,6,7] => ? = 13
[[1,3,4,5],[2],[6],[7]]
=> [[1,4,5,6],[2],[3],[7]]
=> [7,3,2,1,4,5,6] => [3,2,1,7,4,5,6] => ? = 12
[[1,2,4,5],[3],[6],[7]]
=> [[1,4,5,7],[2],[3],[6]]
=> [6,3,2,1,4,5,7] => [3,2,6,1,4,5,7] => ? = 13
[[1,2,3,5],[4],[6],[7]]
=> [[1,4,6,7],[2],[3],[5]]
=> [5,3,2,1,4,6,7] => [3,5,2,1,4,6,7] => ? = 14
[[1,2,3,4],[5],[6],[7]]
=> [[1,5,6,7],[2],[3],[4]]
=> [4,3,2,1,5,6,7] => [4,3,2,1,5,6,7] => ? = 15
[[1,4,6],[2,5,7],[3]]
=> [[1,3,5],[2,4,6],[7]]
=> [7,2,4,6,1,3,5] => [2,1,4,3,7,6,5] => ? = 13
[[1,3,6],[2,5,7],[4]]
=> [[1,3,4],[2,5,6],[7]]
=> [7,2,5,6,1,3,4] => [2,1,3,5,7,6,4] => ? = 10
[[1,2,6],[3,5,7],[4]]
=> [[1,3,4],[2,5,7],[6]]
=> [6,2,5,7,1,3,4] => [2,1,3,6,5,7,4] => ? = 11
[[1,3,6],[2,4,7],[5]]
=> [[1,3,6],[2,4,7],[5]]
=> [5,2,4,7,1,3,6] => [2,1,5,4,3,7,6] => ? = 14
[[1,2,6],[3,4,7],[5]]
=> [[1,3,5],[2,4,7],[6]]
=> [6,2,4,7,1,3,5] => [2,1,4,6,3,7,5] => ? = 12
[[1,3,5],[2,4,6],[7]]
=> [[1,4,6],[2,5,7],[3]]
=> [3,2,5,7,1,4,6] => [3,2,1,5,4,7,6] => ? = 15
[[1,2,5],[3,4,6],[7]]
=> [[1,4,5],[2,6,7],[3]]
=> [3,2,6,7,1,4,5] => [3,2,1,4,6,7,5] => ? = 13
[[1,3,4],[2,5,6],[7]]
=> [[1,3,6],[2,5,7],[4]]
=> [4,2,5,7,1,3,6] => [2,4,1,5,3,7,6] => ? = 11
[[1,2,4],[3,5,6],[7]]
=> [[1,3,5],[2,6,7],[4]]
=> [4,2,6,7,1,3,5] => [2,4,1,3,6,7,5] => ? = 12
Description
The disorder of a permutation.
Consider a permutation $\pi = [\pi_1,\ldots,\pi_n]$ and cyclically scanning $\pi$ from left to right and remove the elements $1$ through $n$ on this order one after the other. The '''disorder''' of $\pi$ is defined to be the number of times a position was not removed in this process.
For example, the disorder of $[3,5,2,1,4]$ is $8$ since on the first scan, 3,5,2 and 4 are not removed, on the second, 3,5 and 4, and on the third and last scan, 5 is once again not removed.
The following 7 statistics, ordered by result quality, also match your data. Click on any of them to see the details.
St000004The major index of a permutation. St000005The bounce statistic of a Dyck path. St000305The inverse major index of a permutation. St000304The load of a permutation. St000833The comajor index of a permutation. St000101The cocharge of a semistandard tableau. St000450The number of edges minus the number of vertices plus 2 of a graph.
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