Your data matches 32 different statistics following compositions of up to 3 maps.
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St000009: Standard tableaux ⟶ ℤResult quality: 100% values known / values provided: 100%distinct values known / distinct values provided: 100%
Values
[[1]]
=> 0
[[1,2]]
=> 1
[[1],[2]]
=> 0
[[1,2,3]]
=> 3
[[1,3],[2]]
=> 1
[[1,2],[3]]
=> 2
[[1],[2],[3]]
=> 0
[[1,2,3,4]]
=> 6
[[1,3,4],[2]]
=> 3
[[1,2,4],[3]]
=> 4
[[1,2,3],[4]]
=> 5
[[1,3],[2,4]]
=> 2
[[1,2],[3,4]]
=> 4
[[1,4],[2],[3]]
=> 1
[[1,3],[2],[4]]
=> 2
[[1,2],[3],[4]]
=> 3
[[1],[2],[3],[4]]
=> 0
[[1,2,3,4,5]]
=> 10
[[1,3,4,5],[2]]
=> 6
[[1,2,4,5],[3]]
=> 7
[[1,2,3,5],[4]]
=> 8
[[1,2,3,4],[5]]
=> 9
[[1,3,5],[2,4]]
=> 4
[[1,2,5],[3,4]]
=> 7
[[1,3,4],[2,5]]
=> 5
[[1,2,4],[3,5]]
=> 6
[[1,2,3],[4,5]]
=> 8
[[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]]
=> 2
[[1,3],[2,5],[4]]
=> 4
[[1,2],[3,5],[4]]
=> 5
[[1,3],[2,4],[5]]
=> 3
[[1,2],[3,4],[5]]
=> 6
[[1,5],[2],[3],[4]]
=> 1
[[1,4],[2],[3],[5]]
=> 2
[[1,3],[2],[4],[5]]
=> 3
[[1,2],[3],[4],[5]]
=> 4
[[1],[2],[3],[4],[5]]
=> 0
[[1,2,3,4,5,6]]
=> 15
[[1,3,4,5,6],[2]]
=> 10
[[1,2,4,5,6],[3]]
=> 11
[[1,2,3,5,6],[4]]
=> 12
[[1,2,3,4,6],[5]]
=> 13
[[1,2,3,4,5],[6]]
=> 14
[[1,3,5,6],[2,4]]
=> 7
Description
The charge of a standard tableau.
St000169: 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]]
=> 2
[[1,2],[3]]
=> 1
[[1],[2],[3]]
=> 3
[[1,2,3,4]]
=> 0
[[1,3,4],[2]]
=> 3
[[1,2,4],[3]]
=> 2
[[1,2,3],[4]]
=> 1
[[1,3],[2,4]]
=> 4
[[1,2],[3,4]]
=> 2
[[1,4],[2],[3]]
=> 5
[[1,3],[2],[4]]
=> 4
[[1,2],[3],[4]]
=> 3
[[1],[2],[3],[4]]
=> 6
[[1,2,3,4,5]]
=> 0
[[1,3,4,5],[2]]
=> 4
[[1,2,4,5],[3]]
=> 3
[[1,2,3,5],[4]]
=> 2
[[1,2,3,4],[5]]
=> 1
[[1,3,5],[2,4]]
=> 6
[[1,2,5],[3,4]]
=> 3
[[1,3,4],[2,5]]
=> 5
[[1,2,4],[3,5]]
=> 4
[[1,2,3],[4,5]]
=> 2
[[1,4,5],[2],[3]]
=> 7
[[1,3,5],[2],[4]]
=> 6
[[1,2,5],[3],[4]]
=> 5
[[1,3,4],[2],[5]]
=> 5
[[1,2,4],[3],[5]]
=> 4
[[1,2,3],[4],[5]]
=> 3
[[1,4],[2,5],[3]]
=> 8
[[1,3],[2,5],[4]]
=> 6
[[1,2],[3,5],[4]]
=> 5
[[1,3],[2,4],[5]]
=> 7
[[1,2],[3,4],[5]]
=> 4
[[1,5],[2],[3],[4]]
=> 9
[[1,4],[2],[3],[5]]
=> 8
[[1,3],[2],[4],[5]]
=> 7
[[1,2],[3],[4],[5]]
=> 6
[[1],[2],[3],[4],[5]]
=> 10
[[1,2,3,4,5,6]]
=> 0
[[1,3,4,5,6],[2]]
=> 5
[[1,2,4,5,6],[3]]
=> 4
[[1,2,3,5,6],[4]]
=> 3
[[1,2,3,4,6],[5]]
=> 2
[[1,2,3,4,5],[6]]
=> 1
[[1,3,5,6],[2,4]]
=> 8
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.
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: St001697
St001697: 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]]
=> 2
[[1,2],[3]]
=> 1
[[1],[2],[3]]
=> 3
[[1,2,3,4]]
=> 0
[[1,3,4],[2]]
=> 3
[[1,2,4],[3]]
=> 2
[[1,2,3],[4]]
=> 1
[[1,3],[2,4]]
=> 4
[[1,2],[3,4]]
=> 2
[[1,4],[2],[3]]
=> 4
[[1,3],[2],[4]]
=> 5
[[1,2],[3],[4]]
=> 3
[[1],[2],[3],[4]]
=> 6
[[1,2,3,4,5]]
=> 0
[[1,3,4,5],[2]]
=> 4
[[1,2,4,5],[3]]
=> 3
[[1,2,3,5],[4]]
=> 2
[[1,2,3,4],[5]]
=> 1
[[1,3,5],[2,4]]
=> 6
[[1,2,5],[3,4]]
=> 3
[[1,3,4],[2,5]]
=> 5
[[1,2,4],[3,5]]
=> 4
[[1,2,3],[4,5]]
=> 2
[[1,4,5],[2],[3]]
=> 5
[[1,3,5],[2],[4]]
=> 7
[[1,2,5],[3],[4]]
=> 4
[[1,3,4],[2],[5]]
=> 6
[[1,2,4],[3],[5]]
=> 5
[[1,2,3],[4],[5]]
=> 3
[[1,4],[2,5],[3]]
=> 6
[[1,3],[2,5],[4]]
=> 8
[[1,2],[3,5],[4]]
=> 5
[[1,3],[2,4],[5]]
=> 7
[[1,2],[3,4],[5]]
=> 4
[[1,5],[2],[3],[4]]
=> 7
[[1,4],[2],[3],[5]]
=> 8
[[1,3],[2],[4],[5]]
=> 9
[[1,2],[3],[4],[5]]
=> 6
[[1],[2],[3],[4],[5]]
=> 10
[[1,2,3,4,5,6]]
=> 0
[[1,3,4,5,6],[2]]
=> 5
[[1,2,4,5,6],[3]]
=> 4
[[1,2,3,5,6],[4]]
=> 3
[[1,2,3,4,6],[5]]
=> 2
[[1,2,3,4,5],[6]]
=> 1
[[1,3,5,6],[2,4]]
=> 8
Description
The shifted natural comajor index of a standard Young tableau. A natural descent of a standard tableau $T$ is an entry $i$ such that $i+1$ appears in a higher row than $i$ in English notation. The natural comajor index of a tableau of shape $\lambda$, size $n$ with natural descent set $D$ is then $b(\lambda)+\sum_{d\in D} n-d$, where $b(\lambda) = \sum_i (i-1)\lambda_i$.
Mp00081: Standard tableaux reading word permutationPermutations
St000304: Permutations ⟶ ℤResult quality: 100% values known / values provided: 100%distinct values known / distinct values provided: 100%
Values
[[1]]
=> [1] => 0
[[1,2]]
=> [1,2] => 1
[[1],[2]]
=> [2,1] => 0
[[1,2,3]]
=> [1,2,3] => 3
[[1,3],[2]]
=> [2,1,3] => 1
[[1,2],[3]]
=> [3,1,2] => 2
[[1],[2],[3]]
=> [3,2,1] => 0
[[1,2,3,4]]
=> [1,2,3,4] => 6
[[1,3,4],[2]]
=> [2,1,3,4] => 3
[[1,2,4],[3]]
=> [3,1,2,4] => 4
[[1,2,3],[4]]
=> [4,1,2,3] => 5
[[1,3],[2,4]]
=> [2,4,1,3] => 2
[[1,2],[3,4]]
=> [3,4,1,2] => 4
[[1,4],[2],[3]]
=> [3,2,1,4] => 1
[[1,3],[2],[4]]
=> [4,2,1,3] => 2
[[1,2],[3],[4]]
=> [4,3,1,2] => 3
[[1],[2],[3],[4]]
=> [4,3,2,1] => 0
[[1,2,3,4,5]]
=> [1,2,3,4,5] => 10
[[1,3,4,5],[2]]
=> [2,1,3,4,5] => 6
[[1,2,4,5],[3]]
=> [3,1,2,4,5] => 7
[[1,2,3,5],[4]]
=> [4,1,2,3,5] => 8
[[1,2,3,4],[5]]
=> [5,1,2,3,4] => 9
[[1,3,5],[2,4]]
=> [2,4,1,3,5] => 4
[[1,2,5],[3,4]]
=> [3,4,1,2,5] => 7
[[1,3,4],[2,5]]
=> [2,5,1,3,4] => 5
[[1,2,4],[3,5]]
=> [3,5,1,2,4] => 6
[[1,2,3],[4,5]]
=> [4,5,1,2,3] => 8
[[1,4,5],[2],[3]]
=> [3,2,1,4,5] => 3
[[1,3,5],[2],[4]]
=> [4,2,1,3,5] => 4
[[1,2,5],[3],[4]]
=> [4,3,1,2,5] => 5
[[1,3,4],[2],[5]]
=> [5,2,1,3,4] => 5
[[1,2,4],[3],[5]]
=> [5,3,1,2,4] => 6
[[1,2,3],[4],[5]]
=> [5,4,1,2,3] => 7
[[1,4],[2,5],[3]]
=> [3,2,5,1,4] => 2
[[1,3],[2,5],[4]]
=> [4,2,5,1,3] => 4
[[1,2],[3,5],[4]]
=> [4,3,5,1,2] => 5
[[1,3],[2,4],[5]]
=> [5,2,4,1,3] => 3
[[1,2],[3,4],[5]]
=> [5,3,4,1,2] => 6
[[1,5],[2],[3],[4]]
=> [4,3,2,1,5] => 1
[[1,4],[2],[3],[5]]
=> [5,3,2,1,4] => 2
[[1,3],[2],[4],[5]]
=> [5,4,2,1,3] => 3
[[1,2],[3],[4],[5]]
=> [5,4,3,1,2] => 4
[[1],[2],[3],[4],[5]]
=> [5,4,3,2,1] => 0
[[1,2,3,4,5,6]]
=> [1,2,3,4,5,6] => 15
[[1,3,4,5,6],[2]]
=> [2,1,3,4,5,6] => 10
[[1,2,4,5,6],[3]]
=> [3,1,2,4,5,6] => 11
[[1,2,3,5,6],[4]]
=> [4,1,2,3,5,6] => 12
[[1,2,3,4,6],[5]]
=> [5,1,2,3,4,6] => 13
[[1,2,3,4,5],[6]]
=> [6,1,2,3,4,5] => 14
[[1,3,5,6],[2,4]]
=> [2,4,1,3,5,6] => 7
Description
The load of a permutation. The definition of the load of a finite word in a totally ordered alphabet can be found in [1], for permutations, it is given by the major index [[St000004]] of the reverse [[Mp00064]] of the inverse [[Mp00066]] permutation.
Mp00081: Standard tableaux reading word permutationPermutations
St000305: Permutations ⟶ 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]]
=> [2,1] => 1
[[1,2,3]]
=> [1,2,3] => 0
[[1,3],[2]]
=> [2,1,3] => 1
[[1,2],[3]]
=> [3,1,2] => 2
[[1],[2],[3]]
=> [3,2,1] => 3
[[1,2,3,4]]
=> [1,2,3,4] => 0
[[1,3,4],[2]]
=> [2,1,3,4] => 1
[[1,2,4],[3]]
=> [3,1,2,4] => 2
[[1,2,3],[4]]
=> [4,1,2,3] => 3
[[1,3],[2,4]]
=> [2,4,1,3] => 4
[[1,2],[3,4]]
=> [3,4,1,2] => 2
[[1,4],[2],[3]]
=> [3,2,1,4] => 3
[[1,3],[2],[4]]
=> [4,2,1,3] => 4
[[1,2],[3],[4]]
=> [4,3,1,2] => 5
[[1],[2],[3],[4]]
=> [4,3,2,1] => 6
[[1,2,3,4,5]]
=> [1,2,3,4,5] => 0
[[1,3,4,5],[2]]
=> [2,1,3,4,5] => 1
[[1,2,4,5],[3]]
=> [3,1,2,4,5] => 2
[[1,2,3,5],[4]]
=> [4,1,2,3,5] => 3
[[1,2,3,4],[5]]
=> [5,1,2,3,4] => 4
[[1,3,5],[2,4]]
=> [2,4,1,3,5] => 4
[[1,2,5],[3,4]]
=> [3,4,1,2,5] => 2
[[1,3,4],[2,5]]
=> [2,5,1,3,4] => 5
[[1,2,4],[3,5]]
=> [3,5,1,2,4] => 6
[[1,2,3],[4,5]]
=> [4,5,1,2,3] => 3
[[1,4,5],[2],[3]]
=> [3,2,1,4,5] => 3
[[1,3,5],[2],[4]]
=> [4,2,1,3,5] => 4
[[1,2,5],[3],[4]]
=> [4,3,1,2,5] => 5
[[1,3,4],[2],[5]]
=> [5,2,1,3,4] => 5
[[1,2,4],[3],[5]]
=> [5,3,1,2,4] => 6
[[1,2,3],[4],[5]]
=> [5,4,1,2,3] => 7
[[1,4],[2,5],[3]]
=> [3,2,5,1,4] => 7
[[1,3],[2,5],[4]]
=> [4,2,5,1,3] => 4
[[1,2],[3,5],[4]]
=> [4,3,5,1,2] => 5
[[1,3],[2,4],[5]]
=> [5,2,4,1,3] => 8
[[1,2],[3,4],[5]]
=> [5,3,4,1,2] => 6
[[1,5],[2],[3],[4]]
=> [4,3,2,1,5] => 6
[[1,4],[2],[3],[5]]
=> [5,3,2,1,4] => 7
[[1,3],[2],[4],[5]]
=> [5,4,2,1,3] => 8
[[1,2],[3],[4],[5]]
=> [5,4,3,1,2] => 9
[[1],[2],[3],[4],[5]]
=> [5,4,3,2,1] => 10
[[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] => 1
[[1,2,4,5,6],[3]]
=> [3,1,2,4,5,6] => 2
[[1,2,3,5,6],[4]]
=> [4,1,2,3,5,6] => 3
[[1,2,3,4,6],[5]]
=> [5,1,2,3,4,6] => 4
[[1,2,3,4,5],[6]]
=> [6,1,2,3,4,5] => 5
[[1,3,5,6],[2,4]]
=> [2,4,1,3,5,6] => 4
Description
The inverse major index of a permutation. This is the major index [[St000004]] of the inverse permutation [[Mp00066]].
Mp00081: Standard tableaux reading word permutationPermutations
St000446: Permutations ⟶ 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]]
=> [2,1] => 1
[[1,2,3]]
=> [1,2,3] => 0
[[1,3],[2]]
=> [2,1,3] => 2
[[1,2],[3]]
=> [3,1,2] => 1
[[1],[2],[3]]
=> [3,2,1] => 3
[[1,2,3,4]]
=> [1,2,3,4] => 0
[[1,3,4],[2]]
=> [2,1,3,4] => 3
[[1,2,4],[3]]
=> [3,1,2,4] => 2
[[1,2,3],[4]]
=> [4,1,2,3] => 1
[[1,3],[2,4]]
=> [2,4,1,3] => 4
[[1,2],[3,4]]
=> [3,4,1,2] => 2
[[1,4],[2],[3]]
=> [3,2,1,4] => 5
[[1,3],[2],[4]]
=> [4,2,1,3] => 4
[[1,2],[3],[4]]
=> [4,3,1,2] => 3
[[1],[2],[3],[4]]
=> [4,3,2,1] => 6
[[1,2,3,4,5]]
=> [1,2,3,4,5] => 0
[[1,3,4,5],[2]]
=> [2,1,3,4,5] => 4
[[1,2,4,5],[3]]
=> [3,1,2,4,5] => 3
[[1,2,3,5],[4]]
=> [4,1,2,3,5] => 2
[[1,2,3,4],[5]]
=> [5,1,2,3,4] => 1
[[1,3,5],[2,4]]
=> [2,4,1,3,5] => 6
[[1,2,5],[3,4]]
=> [3,4,1,2,5] => 3
[[1,3,4],[2,5]]
=> [2,5,1,3,4] => 5
[[1,2,4],[3,5]]
=> [3,5,1,2,4] => 4
[[1,2,3],[4,5]]
=> [4,5,1,2,3] => 2
[[1,4,5],[2],[3]]
=> [3,2,1,4,5] => 7
[[1,3,5],[2],[4]]
=> [4,2,1,3,5] => 6
[[1,2,5],[3],[4]]
=> [4,3,1,2,5] => 5
[[1,3,4],[2],[5]]
=> [5,2,1,3,4] => 5
[[1,2,4],[3],[5]]
=> [5,3,1,2,4] => 4
[[1,2,3],[4],[5]]
=> [5,4,1,2,3] => 3
[[1,4],[2,5],[3]]
=> [3,2,5,1,4] => 8
[[1,3],[2,5],[4]]
=> [4,2,5,1,3] => 6
[[1,2],[3,5],[4]]
=> [4,3,5,1,2] => 5
[[1,3],[2,4],[5]]
=> [5,2,4,1,3] => 7
[[1,2],[3,4],[5]]
=> [5,3,4,1,2] => 4
[[1,5],[2],[3],[4]]
=> [4,3,2,1,5] => 9
[[1,4],[2],[3],[5]]
=> [5,3,2,1,4] => 8
[[1,3],[2],[4],[5]]
=> [5,4,2,1,3] => 7
[[1,2],[3],[4],[5]]
=> [5,4,3,1,2] => 6
[[1],[2],[3],[4],[5]]
=> [5,4,3,2,1] => 10
[[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] => 5
[[1,2,4,5,6],[3]]
=> [3,1,2,4,5,6] => 4
[[1,2,3,5,6],[4]]
=> [4,1,2,3,5,6] => 3
[[1,2,3,4,6],[5]]
=> [5,1,2,3,4,6] => 2
[[1,2,3,4,5],[6]]
=> [6,1,2,3,4,5] => 1
[[1,3,5,6],[2,4]]
=> [2,4,1,3,5,6] => 8
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.
Mp00081: Standard tableaux reading word permutationPermutations
Mp00066: Permutations inversePermutations
St000004: Permutations ⟶ 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]]
=> [2,1] => [2,1] => 1
[[1,2,3]]
=> [1,2,3] => [1,2,3] => 0
[[1,3],[2]]
=> [2,1,3] => [2,1,3] => 1
[[1,2],[3]]
=> [3,1,2] => [2,3,1] => 2
[[1],[2],[3]]
=> [3,2,1] => [3,2,1] => 3
[[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] => 1
[[1,2,4],[3]]
=> [3,1,2,4] => [2,3,1,4] => 2
[[1,2,3],[4]]
=> [4,1,2,3] => [2,3,4,1] => 3
[[1,3],[2,4]]
=> [2,4,1,3] => [3,1,4,2] => 4
[[1,2],[3,4]]
=> [3,4,1,2] => [3,4,1,2] => 2
[[1,4],[2],[3]]
=> [3,2,1,4] => [3,2,1,4] => 3
[[1,3],[2],[4]]
=> [4,2,1,3] => [3,2,4,1] => 4
[[1,2],[3],[4]]
=> [4,3,1,2] => [3,4,2,1] => 5
[[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] => 0
[[1,3,4,5],[2]]
=> [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] => 2
[[1,2,3,5],[4]]
=> [4,1,2,3,5] => [2,3,4,1,5] => 3
[[1,2,3,4],[5]]
=> [5,1,2,3,4] => [2,3,4,5,1] => 4
[[1,3,5],[2,4]]
=> [2,4,1,3,5] => [3,1,4,2,5] => 4
[[1,2,5],[3,4]]
=> [3,4,1,2,5] => [3,4,1,2,5] => 2
[[1,3,4],[2,5]]
=> [2,5,1,3,4] => [3,1,4,5,2] => 5
[[1,2,4],[3,5]]
=> [3,5,1,2,4] => [3,4,1,5,2] => 6
[[1,2,3],[4,5]]
=> [4,5,1,2,3] => [3,4,5,1,2] => 3
[[1,4,5],[2],[3]]
=> [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
[[1,2,5],[3],[4]]
=> [4,3,1,2,5] => [3,4,2,1,5] => 5
[[1,3,4],[2],[5]]
=> [5,2,1,3,4] => [3,2,4,5,1] => 5
[[1,2,4],[3],[5]]
=> [5,3,1,2,4] => [3,4,2,5,1] => 6
[[1,2,3],[4],[5]]
=> [5,4,1,2,3] => [3,4,5,2,1] => 7
[[1,4],[2,5],[3]]
=> [3,2,5,1,4] => [4,2,1,5,3] => 7
[[1,3],[2,5],[4]]
=> [4,2,5,1,3] => [4,2,5,1,3] => 4
[[1,2],[3,5],[4]]
=> [4,3,5,1,2] => [4,5,2,1,3] => 5
[[1,3],[2,4],[5]]
=> [5,2,4,1,3] => [4,2,5,3,1] => 8
[[1,2],[3,4],[5]]
=> [5,3,4,1,2] => [4,5,2,3,1] => 6
[[1,5],[2],[3],[4]]
=> [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] => 7
[[1,3],[2],[4],[5]]
=> [5,4,2,1,3] => [4,3,5,2,1] => 8
[[1,2],[3],[4],[5]]
=> [5,4,3,1,2] => [4,5,3,2,1] => 9
[[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] => 0
[[1,3,4,5,6],[2]]
=> [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] => 2
[[1,2,3,5,6],[4]]
=> [4,1,2,3,5,6] => [2,3,4,1,5,6] => 3
[[1,2,3,4,6],[5]]
=> [5,1,2,3,4,6] => [2,3,4,5,1,6] => 4
[[1,2,3,4,5],[6]]
=> [6,1,2,3,4,5] => [2,3,4,5,6,1] => 5
[[1,3,5,6],[2,4]]
=> [2,4,1,3,5,6] => [3,1,4,2,5,6] => 4
Description
The major index of a permutation. This is the sum of the positions of its descents, $$\operatorname{maj}(\sigma) = \sum_{\sigma(i) > \sigma(i+1)} i.$$ Its generating function is $[n]_q! = [1]_q \cdot [2]_q \dots [n]_q$ for $[k]_q = 1 + q + q^2 + \dots q^{k-1}$. A statistic equidistributed with the major index is called '''Mahonian statistic'''.
Matching statistic: St000008
Mp00134: Standard tableaux descent wordBinary words
Mp00178: Binary words to compositionInteger 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: St000005
Mp00134: Standard tableaux descent wordBinary words
Mp00178: Binary words to compositionInteger compositions
Mp00231: Integer compositions bounce pathDyck paths
St000005: 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 bounce statistic of a Dyck path. The '''bounce path''' $D'$ of a Dyck path $D$ is the Dyck path obtained from $D$ by starting at the end point $(2n,0)$, traveling north-west until hitting $D$, then bouncing back south-west to the $x$-axis, and repeating this procedure until finally reaching the point $(0,0)$. The points where $D'$ touches the $x$-axis are called '''bounce points''', and a bounce path is uniquely determined by its bounce points. This statistic is given by the sum of all $i$ for which the bounce path $D'$ of $D$ touches the $x$-axis at $(2i,0)$. In particular, the bounce statistics of $D$ and $D'$ coincide.
The following 22 statistics, ordered by result quality, also match your data. Click on any of them to see the details.
St000018The number of inversions of a permutation. St000081The number of edges of a graph. St000154The sum of the descent bottoms of a permutation. St000246The number of non-inversions of a permutation. St001161The major index north count of a Dyck path. St000391The sum of the positions of the ones in a binary word. St000833The comajor index of a permutation. St000796The stat' of a permutation. St000798The makl of a permutation. St000947The major index east count of a Dyck path. St000456The monochromatic index of a connected graph. St001232The number of indecomposable modules with projective dimension 2 for Nakayama algebras with global dimension at most 2. St000101The cocharge of a semistandard tableau. St000102The charge of a semistandard tableau. St000450The number of edges minus the number of vertices plus 2 of a graph. St000454The largest eigenvalue of a graph if it is integral. St001645The pebbling number of a connected graph. St001209The pmaj statistic of a parking function. St001583The projective dimension of the simple module corresponding to the point in the poset of the symmetric group under bruhat order. St000777The number of distinct eigenvalues of the distance Laplacian of a connected graph. St001877Number of indecomposable injective modules with projective dimension 2. St001330The hat guessing number of a graph.