Ribbon Tableaux¶
- class sage.combinat.ribbon_tableau.MultiSkewTableau(parent, *args, **kwds)[source]¶
Bases:
CombinatorialElement
A multi skew tableau which is a tuple of skew tableaux.
EXAMPLES:
sage: s = MultiSkewTableau([ [[None,1],[2,3]], [[1,2],[2]] ]) sage: s.size() 6 sage: s.weight() [2, 3, 1] sage: s.shape() [[2, 2] / [1], [2, 1] / []]
>>> from sage.all import * >>> s = MultiSkewTableau([ [[None,Integer(1)],[Integer(2),Integer(3)]], [[Integer(1),Integer(2)],[Integer(2)]] ]) >>> s.size() 6 >>> s.weight() [2, 3, 1] >>> s.shape() [[2, 2] / [1], [2, 1] / []]
- inversion_pairs()[source]¶
Return a list of the inversion pairs of
self
.EXAMPLES:
sage: s = MultiSkewTableau([ [[2,3],[5,5]], [[1,1],[3,3]], [[2],[6]] ]) sage: s.inversion_pairs() [((0, (0, 0)), (1, (0, 0))), ((0, (1, 0)), (1, (0, 1))), ((0, (1, 1)), (1, (0, 0))), ((0, (1, 1)), (1, (1, 1))), ((0, (1, 1)), (2, (0, 0))), ((1, (0, 1)), (2, (0, 0))), ((1, (1, 1)), (2, (0, 0)))]
>>> from sage.all import * >>> s = MultiSkewTableau([ [[Integer(2),Integer(3)],[Integer(5),Integer(5)]], [[Integer(1),Integer(1)],[Integer(3),Integer(3)]], [[Integer(2)],[Integer(6)]] ]) >>> s.inversion_pairs() [((0, (0, 0)), (1, (0, 0))), ((0, (1, 0)), (1, (0, 1))), ((0, (1, 1)), (1, (0, 0))), ((0, (1, 1)), (1, (1, 1))), ((0, (1, 1)), (2, (0, 0))), ((1, (0, 1)), (2, (0, 0))), ((1, (1, 1)), (2, (0, 0)))]
- inversions()[source]¶
Return the number of inversion pairs of
self
.EXAMPLES:
sage: t1 = SkewTableau([[1]]) sage: t2 = SkewTableau([[2]]) sage: MultiSkewTableau([t1,t1]).inversions() 0 sage: MultiSkewTableau([t1,t2]).inversions() 0 sage: MultiSkewTableau([t2,t2]).inversions() 0 sage: MultiSkewTableau([t2,t1]).inversions() 1 sage: s = MultiSkewTableau([ [[2,3],[5,5]], [[1,1],[3,3]], [[2],[6]] ]) sage: s.inversions() 7
>>> from sage.all import * >>> t1 = SkewTableau([[Integer(1)]]) >>> t2 = SkewTableau([[Integer(2)]]) >>> MultiSkewTableau([t1,t1]).inversions() 0 >>> MultiSkewTableau([t1,t2]).inversions() 0 >>> MultiSkewTableau([t2,t2]).inversions() 0 >>> MultiSkewTableau([t2,t1]).inversions() 1 >>> s = MultiSkewTableau([ [[Integer(2),Integer(3)],[Integer(5),Integer(5)]], [[Integer(1),Integer(1)],[Integer(3),Integer(3)]], [[Integer(2)],[Integer(6)]] ]) >>> s.inversions() 7
- shape()[source]¶
Return the shape of
self
.EXAMPLES:
sage: s = SemistandardSkewTableaux([[2,2],[1]]).list() sage: a = MultiSkewTableau([s[0],s[1],s[2]]) sage: a.shape() [[2, 2] / [1], [2, 2] / [1], [2, 2] / [1]]
>>> from sage.all import * >>> s = SemistandardSkewTableaux([[Integer(2),Integer(2)],[Integer(1)]]).list() >>> a = MultiSkewTableau([s[Integer(0)],s[Integer(1)],s[Integer(2)]]) >>> a.shape() [[2, 2] / [1], [2, 2] / [1], [2, 2] / [1]]
- size()[source]¶
Return the size of
self
.This is the sum of the sizes of the skew tableaux in
self
.EXAMPLES:
sage: s = SemistandardSkewTableaux([[2,2],[1]]).list() sage: a = MultiSkewTableau([s[0],s[1],s[2]]) sage: a.size() 9
>>> from sage.all import * >>> s = SemistandardSkewTableaux([[Integer(2),Integer(2)],[Integer(1)]]).list() >>> a = MultiSkewTableau([s[Integer(0)],s[Integer(1)],s[Integer(2)]]) >>> a.size() 9
- weight()[source]¶
Return the weight of
self
.EXAMPLES:
sage: s = SemistandardSkewTableaux([[2,2],[1]]).list() sage: a = MultiSkewTableau([s[0],s[1],s[2]]) sage: a.weight() [5, 3, 1]
>>> from sage.all import * >>> s = SemistandardSkewTableaux([[Integer(2),Integer(2)],[Integer(1)]]).list() >>> a = MultiSkewTableau([s[Integer(0)],s[Integer(1)],s[Integer(2)]]) >>> a.weight() [5, 3, 1]
- class sage.combinat.ribbon_tableau.MultiSkewTableaux(category=None)[source]¶
Bases:
UniqueRepresentation
,Parent
Multiskew tableaux.
- Element[source]¶
alias of
MultiSkewTableau
- class sage.combinat.ribbon_tableau.RibbonTableau(parent, st)[source]¶
Bases:
SkewTableau
A ribbon tableau.
A ribbon is a connected skew shape which does not contain any \(2 \times 2\) boxes. A ribbon tableau is a skew tableau whose shape is partitioned into ribbons, each of which is filled with identical entries.
EXAMPLES:
sage: rt = RibbonTableau([[None, 1],[2,3]]); rt [[None, 1], [2, 3]] sage: rt.inner_shape() [1] sage: rt.outer_shape() [2, 2] sage: rt = RibbonTableau([[None, None, 0, 0, 0], [None, 0, 0, 2], [1, 0, 1]]); rt.pp() . . 0 0 0 . 0 0 2 1 0 1
>>> from sage.all import * >>> rt = RibbonTableau([[None, Integer(1)],[Integer(2),Integer(3)]]); rt [[None, 1], [2, 3]] >>> rt.inner_shape() [1] >>> rt.outer_shape() [2, 2] >>> rt = RibbonTableau([[None, None, Integer(0), Integer(0), Integer(0)], [None, Integer(0), Integer(0), Integer(2)], [Integer(1), Integer(0), Integer(1)]]); rt.pp() . . 0 0 0 . 0 0 2 1 0 1
In the previous example, each ribbon is uniquely determined by a nonzero entry. The 0 entries are used to fill in the rest of the skew shape.
Note
Sanity checks are not performed; lists can contain any object.
sage: RibbonTableau(expr=[[1,1],[[5],[3,4],[1,2]]]) [[None, 1, 2], [None, 3, 4], [5]]
>>> from sage.all import * >>> RibbonTableau(expr=[[Integer(1),Integer(1)],[[Integer(5)],[Integer(3),Integer(4)],[Integer(1),Integer(2)]]]) [[None, 1, 2], [None, 3, 4], [5]]
- length()[source]¶
Return the length of the ribbons into a ribbon tableau.
EXAMPLES:
sage: RibbonTableau([[None, 1],[2,3]]).length() 1 sage: RibbonTableau([[1,0],[2,0]]).length() 2
>>> from sage.all import * >>> RibbonTableau([[None, Integer(1)],[Integer(2),Integer(3)]]).length() 1 >>> RibbonTableau([[Integer(1),Integer(0)],[Integer(2),Integer(0)]]).length() 2
- to_word()[source]¶
Return a word obtained from a row reading of
self
.Warning
Unlike the
to_word
method on skew tableaux (which are a superclass of this), this method does not filter outNone
entries.EXAMPLES:
sage: R = RibbonTableau([[0, 0, 3, 0], [1, 1, 0], [2, 0, 4]]) sage: R.to_word() word: 2041100030
>>> from sage.all import * >>> R = RibbonTableau([[Integer(0), Integer(0), Integer(3), Integer(0)], [Integer(1), Integer(1), Integer(0)], [Integer(2), Integer(0), Integer(4)]]) >>> R.to_word() word: 2041100030
- class sage.combinat.ribbon_tableau.RibbonTableau_class(parent, st)[source]¶
Bases:
RibbonTableau
This exists solely for unpickling
RibbonTableau_class
objects.
- class sage.combinat.ribbon_tableau.RibbonTableaux[source]¶
Bases:
UniqueRepresentation
,Parent
Ribbon tableaux.
A ribbon tableau is a skew tableau whose skew shape
shape
is tiled by ribbons of lengthlength
. The weightweight
is calculated from the labels on the ribbons.Note
Here we impose the condition that the ribbon tableaux are semistandard.
INPUT(Optional):
shape
– skew shape as a list of lists or an object of type SkewPartitionlength
– integer;shape
is partitioned into ribbons of lengthlength
weight
– list of integers; computed from the values of nonzero entries labeling the ribbons
EXAMPLES:
sage: RibbonTableaux([[2,1],[]], [1,1,1], 1) Ribbon tableaux of shape [2, 1] / [] and weight [1, 1, 1] with 1-ribbons sage: R = RibbonTableaux([[5,4,3],[2,1]], [2,1], 3) sage: for i in R: i.pp(); print("\n") . . 0 0 0 . 0 0 2 1 0 1 . . 1 0 0 . 0 0 0 1 0 2 . . 0 0 0 . 1 0 1 2 0 0
>>> from sage.all import * >>> RibbonTableaux([[Integer(2),Integer(1)],[]], [Integer(1),Integer(1),Integer(1)], Integer(1)) Ribbon tableaux of shape [2, 1] / [] and weight [1, 1, 1] with 1-ribbons >>> R = RibbonTableaux([[Integer(5),Integer(4),Integer(3)],[Integer(2),Integer(1)]], [Integer(2),Integer(1)], Integer(3)) >>> for i in R: i.pp(); print("\n") . . 0 0 0 . 0 0 2 1 0 1 <BLANKLINE> . . 1 0 0 . 0 0 0 1 0 2 <BLANKLINE> . . 0 0 0 . 1 0 1 2 0 0 <BLANKLINE>
REFERENCES:
[vanLeeuwen91]Marc. A. A. van Leeuwen, Edge sequences, ribbon tableaux, and an action of affine permutations. Europe J. Combinatorics. 20 (1999). http://wwwmathlabo.univ-poitiers.fr/~maavl/pdf/edgeseqs.pdf
- Element[source]¶
alias of
RibbonTableau
- from_expr(l)[source]¶
Return a
RibbonTableau
from a MuPAD-Combinat expr for a skew tableau. The first list inexpr
is the inner shape of the skew tableau. The second list are the entries in the rows of the skew tableau from bottom to top.Provided primarily for compatibility with MuPAD-Combinat.
EXAMPLES:
sage: RibbonTableaux().from_expr([[1,1],[[5],[3,4],[1,2]]]) [[None, 1, 2], [None, 3, 4], [5]]
>>> from sage.all import * >>> RibbonTableaux().from_expr([[Integer(1),Integer(1)],[[Integer(5)],[Integer(3),Integer(4)],[Integer(1),Integer(2)]]]) [[None, 1, 2], [None, 3, 4], [5]]
- class sage.combinat.ribbon_tableau.RibbonTableaux_shape_weight_length(shape, weight, length)[source]¶
Bases:
RibbonTableaux
Ribbon tableaux of a given shape, weight, and length.
- cardinality()[source]¶
Return the cardinality of
self
.EXAMPLES:
sage: RibbonTableaux([[2,1],[]],[1,1,1],1).cardinality() 2 sage: RibbonTableaux([[2,2],[]],[1,1],2).cardinality() 2 sage: RibbonTableaux([[4,3,3],[]],[2,1,1,1],2).cardinality() 5
>>> from sage.all import * >>> RibbonTableaux([[Integer(2),Integer(1)],[]],[Integer(1),Integer(1),Integer(1)],Integer(1)).cardinality() 2 >>> RibbonTableaux([[Integer(2),Integer(2)],[]],[Integer(1),Integer(1)],Integer(2)).cardinality() 2 >>> RibbonTableaux([[Integer(4),Integer(3),Integer(3)],[]],[Integer(2),Integer(1),Integer(1),Integer(1)],Integer(2)).cardinality() 5
- class sage.combinat.ribbon_tableau.SemistandardMultiSkewTableaux(shape, weight)[source]¶
Bases:
MultiSkewTableaux
Semistandard multi skew tableaux.
A multi skew tableau is a \(k\)-tuple of skew tableaux of given shape with a specified total weight.
EXAMPLES:
sage: S = SemistandardMultiSkewTableaux([ [[2,1],[]], [[2,2],[1]] ], [2,2,2]); S Semistandard multi skew tableaux of shape [[2, 1] / [], [2, 2] / [1]] and weight [2, 2, 2] sage: S.list() [[[[1, 1], [2]], [[None, 2], [3, 3]]], [[[1, 2], [2]], [[None, 1], [3, 3]]], [[[1, 3], [2]], [[None, 2], [1, 3]]], [[[1, 3], [2]], [[None, 1], [2, 3]]], [[[1, 1], [3]], [[None, 2], [2, 3]]], [[[1, 2], [3]], [[None, 2], [1, 3]]], [[[1, 2], [3]], [[None, 1], [2, 3]]], [[[2, 2], [3]], [[None, 1], [1, 3]]], [[[1, 3], [3]], [[None, 1], [2, 2]]], [[[2, 3], [3]], [[None, 1], [1, 2]]]]
>>> from sage.all import * >>> S = SemistandardMultiSkewTableaux([ [[Integer(2),Integer(1)],[]], [[Integer(2),Integer(2)],[Integer(1)]] ], [Integer(2),Integer(2),Integer(2)]); S Semistandard multi skew tableaux of shape [[2, 1] / [], [2, 2] / [1]] and weight [2, 2, 2] >>> S.list() [[[[1, 1], [2]], [[None, 2], [3, 3]]], [[[1, 2], [2]], [[None, 1], [3, 3]]], [[[1, 3], [2]], [[None, 2], [1, 3]]], [[[1, 3], [2]], [[None, 1], [2, 3]]], [[[1, 1], [3]], [[None, 2], [2, 3]]], [[[1, 2], [3]], [[None, 2], [1, 3]]], [[[1, 2], [3]], [[None, 1], [2, 3]]], [[[2, 2], [3]], [[None, 1], [1, 3]]], [[[1, 3], [3]], [[None, 1], [2, 2]]], [[[2, 3], [3]], [[None, 1], [1, 2]]]]
- sage.combinat.ribbon_tableau.cospin_polynomial(part, weight, length)[source]¶
Return the cospin polynomial associated to
part
,weight
, andlength
.EXAMPLES:
sage: from sage.combinat.ribbon_tableau import cospin_polynomial sage: cospin_polynomial([6,6,6],[4,2],3) t^4 + t^3 + 2*t^2 + t + 1 sage: cospin_polynomial([3,3,3,2,1], [3,1], 3) 1 sage: cospin_polynomial([3,3,3,2,1], [2,2], 3) t + 1 sage: cospin_polynomial([3,3,3,2,1], [2,1,1], 3) t^2 + 2*t + 2 sage: cospin_polynomial([3,3,3,2,1], [1,1,1,1], 3) t^3 + 3*t^2 + 5*t + 3 sage: cospin_polynomial([5,4,3,2,1,1,1], [2,2,1], 3) 2*t^2 + 6*t + 2 sage: cospin_polynomial([[6]*6, [3,3]], [4,4,2], 3) 3*t^4 + 6*t^3 + 9*t^2 + 5*t + 3
>>> from sage.all import * >>> from sage.combinat.ribbon_tableau import cospin_polynomial >>> cospin_polynomial([Integer(6),Integer(6),Integer(6)],[Integer(4),Integer(2)],Integer(3)) t^4 + t^3 + 2*t^2 + t + 1 >>> cospin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(3),Integer(1)], Integer(3)) 1 >>> cospin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(2),Integer(2)], Integer(3)) t + 1 >>> cospin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(2),Integer(1),Integer(1)], Integer(3)) t^2 + 2*t + 2 >>> cospin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(1),Integer(1),Integer(1),Integer(1)], Integer(3)) t^3 + 3*t^2 + 5*t + 3 >>> cospin_polynomial([Integer(5),Integer(4),Integer(3),Integer(2),Integer(1),Integer(1),Integer(1)], [Integer(2),Integer(2),Integer(1)], Integer(3)) 2*t^2 + 6*t + 2 >>> cospin_polynomial([[Integer(6)]*Integer(6), [Integer(3),Integer(3)]], [Integer(4),Integer(4),Integer(2)], Integer(3)) 3*t^4 + 6*t^3 + 9*t^2 + 5*t + 3
- sage.combinat.ribbon_tableau.count_rec(nexts, current, part, weight, length)[source]¶
INPUT:
nexts, current, part
– skew partitionsweight
– nonnegative integer listlength
– integer
- sage.combinat.ribbon_tableau.insertion_tableau(skp, perm, evaluation, tableau, length)[source]¶
INPUT:
skp
– skew partitionsperm, evaluation
– nonnegative integerstableau
– skew tableaulength
– integer
- sage.combinat.ribbon_tableau.list_rec(nexts, current, part, weight, length)[source]¶
INPUT:
nexts, current, part
– skew partitionsweight
– nonnegative integer listlength
– integer
- sage.combinat.ribbon_tableau.spin_polynomial(part, weight, length)[source]¶
Return the spin polynomial associated to
part
,weight
, andlength
.EXAMPLES:
sage: # needs sage.symbolic sage: from sage.combinat.ribbon_tableau import spin_polynomial sage: spin_polynomial([6,6,6],[4,2],3) t^6 + t^5 + 2*t^4 + t^3 + t^2 sage: spin_polynomial([6,6,6],[4,1,1],3) t^6 + 2*t^5 + 3*t^4 + 2*t^3 + t^2 sage: spin_polynomial([3,3,3,2,1], [2,2], 3) t^(7/2) + t^(5/2) sage: spin_polynomial([3,3,3,2,1], [2,1,1], 3) 2*t^(7/2) + 2*t^(5/2) + t^(3/2) sage: spin_polynomial([3,3,3,2,1], [1,1,1,1], 3) 3*t^(7/2) + 5*t^(5/2) + 3*t^(3/2) + sqrt(t) sage: spin_polynomial([5,4,3,2,1,1,1], [2,2,1], 3) 2*t^(9/2) + 6*t^(7/2) + 2*t^(5/2) sage: spin_polynomial([[6]*6, [3,3]], [4,4,2], 3) 3*t^9 + 5*t^8 + 9*t^7 + 6*t^6 + 3*t^5
>>> from sage.all import * >>> # needs sage.symbolic >>> from sage.combinat.ribbon_tableau import spin_polynomial >>> spin_polynomial([Integer(6),Integer(6),Integer(6)],[Integer(4),Integer(2)],Integer(3)) t^6 + t^5 + 2*t^4 + t^3 + t^2 >>> spin_polynomial([Integer(6),Integer(6),Integer(6)],[Integer(4),Integer(1),Integer(1)],Integer(3)) t^6 + 2*t^5 + 3*t^4 + 2*t^3 + t^2 >>> spin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(2),Integer(2)], Integer(3)) t^(7/2) + t^(5/2) >>> spin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(2),Integer(1),Integer(1)], Integer(3)) 2*t^(7/2) + 2*t^(5/2) + t^(3/2) >>> spin_polynomial([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(1),Integer(1),Integer(1),Integer(1)], Integer(3)) 3*t^(7/2) + 5*t^(5/2) + 3*t^(3/2) + sqrt(t) >>> spin_polynomial([Integer(5),Integer(4),Integer(3),Integer(2),Integer(1),Integer(1),Integer(1)], [Integer(2),Integer(2),Integer(1)], Integer(3)) 2*t^(9/2) + 6*t^(7/2) + 2*t^(5/2) >>> spin_polynomial([[Integer(6)]*Integer(6), [Integer(3),Integer(3)]], [Integer(4),Integer(4),Integer(2)], Integer(3)) 3*t^9 + 5*t^8 + 9*t^7 + 6*t^6 + 3*t^5
- sage.combinat.ribbon_tableau.spin_polynomial_square(part, weight, length)[source]¶
Return the spin polynomial associated with
part
,weight
, andlength
, with the substitution \(t \to t^2\) made.EXAMPLES:
sage: from sage.combinat.ribbon_tableau import spin_polynomial_square sage: spin_polynomial_square([6,6,6],[4,2],3) t^12 + t^10 + 2*t^8 + t^6 + t^4 sage: spin_polynomial_square([6,6,6],[4,1,1],3) t^12 + 2*t^10 + 3*t^8 + 2*t^6 + t^4 sage: spin_polynomial_square([3,3,3,2,1], [2,2], 3) t^7 + t^5 sage: spin_polynomial_square([3,3,3,2,1], [2,1,1], 3) 2*t^7 + 2*t^5 + t^3 sage: spin_polynomial_square([3,3,3,2,1], [1,1,1,1], 3) 3*t^7 + 5*t^5 + 3*t^3 + t sage: spin_polynomial_square([5,4,3,2,1,1,1], [2,2,1], 3) 2*t^9 + 6*t^7 + 2*t^5 sage: spin_polynomial_square([[6]*6, [3,3]], [4,4,2], 3) 3*t^18 + 5*t^16 + 9*t^14 + 6*t^12 + 3*t^10
>>> from sage.all import * >>> from sage.combinat.ribbon_tableau import spin_polynomial_square >>> spin_polynomial_square([Integer(6),Integer(6),Integer(6)],[Integer(4),Integer(2)],Integer(3)) t^12 + t^10 + 2*t^8 + t^6 + t^4 >>> spin_polynomial_square([Integer(6),Integer(6),Integer(6)],[Integer(4),Integer(1),Integer(1)],Integer(3)) t^12 + 2*t^10 + 3*t^8 + 2*t^6 + t^4 >>> spin_polynomial_square([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(2),Integer(2)], Integer(3)) t^7 + t^5 >>> spin_polynomial_square([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(2),Integer(1),Integer(1)], Integer(3)) 2*t^7 + 2*t^5 + t^3 >>> spin_polynomial_square([Integer(3),Integer(3),Integer(3),Integer(2),Integer(1)], [Integer(1),Integer(1),Integer(1),Integer(1)], Integer(3)) 3*t^7 + 5*t^5 + 3*t^3 + t >>> spin_polynomial_square([Integer(5),Integer(4),Integer(3),Integer(2),Integer(1),Integer(1),Integer(1)], [Integer(2),Integer(2),Integer(1)], Integer(3)) 2*t^9 + 6*t^7 + 2*t^5 >>> spin_polynomial_square([[Integer(6)]*Integer(6), [Integer(3),Integer(3)]], [Integer(4),Integer(4),Integer(2)], Integer(3)) 3*t^18 + 5*t^16 + 9*t^14 + 6*t^12 + 3*t^10
- sage.combinat.ribbon_tableau.spin_rec(t, nexts, current, part, weight, length)[source]¶
Routine used for constructing the spin polynomial.
INPUT:
weight
– list of nonnegative integerslength
– the length of the ribbons we’re tiling witht
– the variable
EXAMPLES:
sage: from sage.combinat.ribbon_tableau import spin_rec sage: sp = SkewPartition sage: t = ZZ['t'].gen() sage: spin_rec(t, [], [[[], [3, 3]]], sp([[2, 2, 2], []]), [2], 3) [t^4] sage: spin_rec(t, [[0], [t^4]], [[[2, 1, 1, 1, 1], [0, 3]], [[2, 2, 2], [3, 0]]], sp([[2, 2, 2, 2, 1], []]), [2, 1], 3) [t^5] sage: spin_rec(t, [], [[[], [3, 3, 0]]], sp([[3, 3], []]), [2], 3) [t^2] sage: spin_rec(t, [[t^4], [t^3], [t^2]], [[[2, 2, 2], [0, 0, 3]], [[3, 2, 1], [0, 3, 0]], [[3, 3], [3, 0, 0]]], sp([[3, 3, 3], []]), [2, 1], 3) [t^6 + t^4 + t^2] sage: spin_rec(t, [[t^5], [t^4], [t^6 + t^4 + t^2]], [[[2, 2, 2, 2, 1], [0, 0, 3]], [[3, 3, 1, 1, 1], [0, 3, 0]], [[3, 3, 3], [3, 0, 0]]], sp([[3, 3, 3, 2, 1], []]), [2, 1, 1], 3) [2*t^7 + 2*t^5 + t^3]
>>> from sage.all import * >>> from sage.combinat.ribbon_tableau import spin_rec >>> sp = SkewPartition >>> t = ZZ['t'].gen() >>> spin_rec(t, [], [[[], [Integer(3), Integer(3)]]], sp([[Integer(2), Integer(2), Integer(2)], []]), [Integer(2)], Integer(3)) [t^4] >>> spin_rec(t, [[Integer(0)], [t**Integer(4)]], [[[Integer(2), Integer(1), Integer(1), Integer(1), Integer(1)], [Integer(0), Integer(3)]], [[Integer(2), Integer(2), Integer(2)], [Integer(3), Integer(0)]]], sp([[Integer(2), Integer(2), Integer(2), Integer(2), Integer(1)], []]), [Integer(2), Integer(1)], Integer(3)) [t^5] >>> spin_rec(t, [], [[[], [Integer(3), Integer(3), Integer(0)]]], sp([[Integer(3), Integer(3)], []]), [Integer(2)], Integer(3)) [t^2] >>> spin_rec(t, [[t**Integer(4)], [t**Integer(3)], [t**Integer(2)]], [[[Integer(2), Integer(2), Integer(2)], [Integer(0), Integer(0), Integer(3)]], [[Integer(3), Integer(2), Integer(1)], [Integer(0), Integer(3), Integer(0)]], [[Integer(3), Integer(3)], [Integer(3), Integer(0), Integer(0)]]], sp([[Integer(3), Integer(3), Integer(3)], []]), [Integer(2), Integer(1)], Integer(3)) [t^6 + t^4 + t^2] >>> spin_rec(t, [[t**Integer(5)], [t**Integer(4)], [t**Integer(6) + t**Integer(4) + t**Integer(2)]], [[[Integer(2), Integer(2), Integer(2), Integer(2), Integer(1)], [Integer(0), Integer(0), Integer(3)]], [[Integer(3), Integer(3), Integer(1), Integer(1), Integer(1)], [Integer(0), Integer(3), Integer(0)]], [[Integer(3), Integer(3), Integer(3)], [Integer(3), Integer(0), Integer(0)]]], sp([[Integer(3), Integer(3), Integer(3), Integer(2), Integer(1)], []]), [Integer(2), Integer(1), Integer(1)], Integer(3)) [2*t^7 + 2*t^5 + t^3]