Identifier
Values
[[1],[2]] => ([],1) => ([],1) => 1
[[1,1],[2]] => ([],1) => ([],1) => 1
[[1],[2],[3]] => ([],1) => ([],1) => 1
[[1,1,1],[2]] => ([],1) => ([],1) => 1
[[1,1],[2,2]] => ([],1) => ([],1) => 1
[[1,1],[2],[3]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2]] => ([],1) => ([],1) => 1
[[1,1,1],[2,2]] => ([],1) => ([],1) => 1
[[1],[2],[3],[4]] => ([],1) => ([],1) => 1
[[1,1,1],[2],[3]] => ([],1) => ([],1) => 1
[[1,1],[2,2],[3]] => ([],1) => ([],1) => 1
[[1,1,1,1,1],[2]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2,2]] => ([],1) => ([],1) => 1
[[1,1,1],[2,2,2]] => ([],1) => ([],1) => 1
[[1,1],[2],[3],[4]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2],[3]] => ([],1) => ([],1) => 1
[[1,1,1],[2,2],[3]] => ([],1) => ([],1) => 1
[[1,1],[2,2],[3,3]] => ([],1) => ([],1) => 1
[[1,1,1,1,1,1],[2]] => ([],1) => ([],1) => 1
[[1,1,1,1,1],[2,2]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2,2,2]] => ([],1) => ([],1) => 1
[[1],[2],[3],[4],[5]] => ([],1) => ([],1) => 1
[[1,1,1],[2],[3],[4]] => ([],1) => ([],1) => 1
[[1,1],[2,2],[3],[4]] => ([],1) => ([],1) => 1
[[1,1,1,1,1],[2],[3]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2,2],[3]] => ([],1) => ([],1) => 1
[[1,1,1],[2,2,2],[3]] => ([],1) => ([],1) => 1
[[1,1,1],[2,2],[3,3]] => ([],1) => ([],1) => 1
[[1,1,1,1,1,1,1],[2]] => ([],1) => ([],1) => 1
[[1,1,1,1,1,1],[2,2]] => ([],1) => ([],1) => 1
[[1,1,1,1,1],[2,2,2]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2,2,2,2]] => ([],1) => ([],1) => 1
[[1]] => ([],1) => ([],1) => 1
[[1,1,1,1],[2,2,2],[3,3],[4]] => ([],1) => ([],1) => 1
[[1,1,1,1,1],[2,2,2,2],[3,3,3],[4,4],[5]] => ([],1) => ([],1) => 1
[[1,1,1,1,1,1],[2,2,2,2,2],[3,3,3,3],[4,4,4],[5,5],[6]] => ([],1) => ([],1) => 1
[[1,1]] => ([],1) => ([],1) => 1
[[1,1,1]] => ([],1) => ([],1) => 1
[[1,1,1,1]] => ([],1) => ([],1) => 1
[[1,1,1,1,1]] => ([],1) => ([],1) => 1
[[1],[2],[3],[4],[5],[6]] => ([],1) => ([],1) => 1
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Description
The multiplicity of the largest distance Laplacian eigenvalue in a connected graph.
The distance Laplacian of a graph is the (symmetric) matrix with row and column sums $0$, which has the negative distances between two vertices as its off-diagonal entries. This statistic is the largest multiplicity of an eigenvalue.
For example, the cycle on four vertices has distance Laplacian
$$ \left(\begin{array}{rrrr} 4 & -1 & -2 & -1 \\ -1 & 4 & -1 & -2 \\ -2 & -1 & 4 & -1 \\ -1 & -2 & -1 & 4 \end{array}\right). $$
Its eigenvalues are $0,4,4,6$, so the statistic is $1$.
The path on four vertices has eigenvalues $0, 4.7\dots, 6, 9.2\dots$ and therefore also statistic $1$.
The graphs with statistic $n-1$, $n-2$ and $n-3$ have been characterised, see [1].
The distance Laplacian of a graph is the (symmetric) matrix with row and column sums $0$, which has the negative distances between two vertices as its off-diagonal entries. This statistic is the largest multiplicity of an eigenvalue.
For example, the cycle on four vertices has distance Laplacian
$$ \left(\begin{array}{rrrr} 4 & -1 & -2 & -1 \\ -1 & 4 & -1 & -2 \\ -2 & -1 & 4 & -1 \\ -1 & -2 & -1 & 4 \end{array}\right). $$
Its eigenvalues are $0,4,4,6$, so the statistic is $1$.
The path on four vertices has eigenvalues $0, 4.7\dots, 6, 9.2\dots$ and therefore also statistic $1$.
The graphs with statistic $n-1$, $n-2$ and $n-3$ have been characterised, see [1].
Map
subcrystal
Description
The underlying poset of the subcrystal obtained by applying the raising operators to a semistandard tableau.
Map
incomparability graph
Description
The incomparability graph of a poset.
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