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Identifier
Values
=>
Cc0002;cc-rep
[1]=>1 [2]=>1 [1,1]=>1 [3]=>1 [2,1]=>2 [1,1,1]=>3 [4]=>2 [3,1]=>4 [2,2]=>6 [2,1,1]=>9 [1,1,1,1]=>16 [5]=>3 [4,1]=>9 [3,2]=>15 [3,1,1]=>26 [2,2,1]=>37 [2,1,1,1]=>67 [1,1,1,1,1]=>125 [6]=>6 [5,1]=>20 [4,2]=>43 [4,1,1]=>75 [3,3]=>51 [3,2,1]=>134 [3,1,1,1]=>251 [2,2,2]=>195 [2,2,1,1]=>359 [2,1,1,1,1]=>680 [1,1,1,1,1,1]=>1296 [7]=>11 [6,1]=>48 [5,2]=>116 [5,1,1]=>214 [4,3]=>175 [4,2,1]=>469 [4,1,1,1]=>888 [3,3,1]=>596 [3,2,2]=>861 [3,2,1,1]=>1636 [3,1,1,1,1]=>3135 [2,2,2,1]=>2365 [2,2,1,1,1]=>4530 [2,1,1,1,1,1]=>8716 [1,1,1,1,1,1,1]=>16807 [8]=>23 [7,1]=>115 [6,2]=>329 [6,1,1]=>612 [5,3]=>573 [5,2,1]=>1577 [5,1,1,1]=>3023 [4,4]=>698 [4,3,1]=>2445 [4,2,2]=>3559 [4,2,1,1]=>6817 [4,1,1,1,1]=>13155 [3,3,2]=>4562 [3,3,1,1]=>8786 [3,2,2,1]=>12765 [3,2,1,1,1]=>24674 [3,1,1,1,1,1]=>47787 [2,2,2,2]=>18584 [2,2,2,1,1]=>35892 [2,2,1,1,1,1]=>69552 [2,1,1,1,1,1,1]=>134960 [1,1,1,1,1,1,1,1]=>262144 [9]=>47 [8,1]=>286 [7,2]=>918 [7,1,1]=>1747 [6,3]=>1866 [6,2,1]=>5204 [6,1,1,1]=>10038 [5,4]=>2626 [5,3,1]=>9480 [5,2,2]=>13820 [5,2,1,1]=>26736 [5,1,1,1,1]=>51873 [4,4,1]=>11513 [4,3,2]=>21715 [4,3,1,1]=>42080 [4,2,2,1]=>61417 [4,2,1,1,1]=>119325 [4,1,1,1,1,1]=>232154 [3,3,3]=>28110 [3,3,2,1]=>79629 [3,3,1,1,1]=>154833 [3,2,2,2]=>116314 [3,2,2,1,1]=>226225 [3,2,1,1,1,1]=>440542 [3,1,1,1,1,1,1]=>858578 [2,2,2,2,1]=>330685 [2,2,2,1,1,1]=>644190 [2,2,1,1,1,1,1]=>1255973 [2,1,1,1,1,1,1,1]=>2450309 [1,1,1,1,1,1,1,1,1]=>4782969
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Description
The number of coloured trees such that the multiplicities of colours are given by a partition.
In particular, the value on the partition $(n)$ is the number of unlabelled trees on $n$ vertices, oeis:A000055, whereas the value on the partition $(1^n)$ is the number of labelled trees oeis:A000272.
Code
def statistic(mu):
    h = SymmetricFunctions(QQ).h()
    A = CombinatorialSpecies()
    X = species.SingletonSpecies()
    E = species.SetSpecies()
    A.define(X*E(A))
    V = (X + species.CharacteristicSpecies(2)).cycle_index_series() - (X^2).cycle_index_series()
    F = V(A.cycle_index_series())
    return F.coefficient(mu.size()).scalar(h(mu))

Created
Sep 27, 2020 at 12:59 by Martin Rubey
Updated
Sep 27, 2020 at 12:59 by Martin Rubey