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# -*- coding: utf-8 -*- r""" Skew Partitions
A skew partition ``skp`` of size `n` is a pair of partitions `[p_1, p_2]` where `p_1` is a partition of the integer `n_1`, `p_2` is a partition of the integer `n_2`, `p_2` is an inner partition of `p_1`, and `n = n_1 - n_2`. We say that `p_1` and `p_2` are respectively the *inner* and *outer* partitions of ``skp``.
A skew partition can be depicted by a diagram made of rows of cells, in the same way as a partition. Only the cells of the outer partition `p_1` which are not in the inner partition `p_2` appear in the picture. For example, this is the diagram of the skew partition [[5,4,3,1],[3,3,1]].
::
sage: print(SkewPartition([[5,4,3,1],[3,3,1]]).diagram()) ** * ** *
A skew partition can be *connected*, which can easily be described in graphic terms: for each pair of consecutive rows, there are at least two cells (one in each row) which have a common edge. This is the diagram of the connected skew partition ``[[5,4,3,1],[3,1]]``::
sage: print(SkewPartition([[5,4,3,1],[3,1]]).diagram()) ** *** *** * sage: SkewPartition([[5,4,3,1],[3,1]]).is_connected() True
The first example of a skew partition is not a connected one.
Applying a reflection with respect to the main diagonal yields the diagram of the *conjugate skew partition*, here ``[[4,3,3,2,1],[3,3,2]]``::
sage: SkewPartition([[5,4,3,1],[3,3,1]]).conjugate() [4, 3, 3, 2, 1] / [3, 2, 2] sage: print(SkewPartition([[5,4,3,1],[3,3,1]]).conjugate().diagram()) * * * ** *
The *outer corners* of a skew partition are the corners of its outer partition. The *inner corners* are the internal corners of the outer partition when the inner partition is taken off. Shown below are the coordinates of the inner and outer corners.
::
sage: SkewPartition([[5,4,3,1],[3,3,1]]).outer_corners() [(0, 4), (1, 3), (2, 2), (3, 0)] sage: SkewPartition([[5,4,3,1],[3,3,1]]).inner_corners() [(0, 3), (2, 1), (3, 0)]
EXAMPLES:
There are 9 skew partitions of size 3, with no empty row nor empty column::
sage: SkewPartitions(3).cardinality() 9 sage: SkewPartitions(3).list() [[3] / [], [2, 1] / [], [3, 1] / [1], [2, 2] / [1], [3, 2] / [2], [1, 1, 1] / [], [2, 2, 1] / [1, 1], [2, 1, 1] / [1], [3, 2, 1] / [2, 1]]
There are 4 connected skew partitions of size 3::
sage: SkewPartitions(3, overlap=1).cardinality() 4 sage: SkewPartitions(3, overlap=1).list() [[3] / [], [2, 1] / [], [2, 2] / [1], [1, 1, 1] / []]
This is the conjugate of the skew partition ``[[4,3,1], [2]]``
::
sage: SkewPartition([[4,3,1], [2]]).conjugate() [3, 2, 2, 1] / [1, 1]
Geometrically, we just applied a reflection with respect to the main diagonal on the diagram of the partition. Of course, this operation is an involution::
sage: SkewPartition([[4,3,1],[2]]).conjugate().conjugate() [4, 3, 1] / [2]
The :meth:`jacobi_trudi()` method computes the Jacobi-Trudi matrix. See [Mac95]_ for a definition and discussion.
::
sage: SkewPartition([[4,3,1],[2]]).jacobi_trudi() [h[2] h[] 0] [h[5] h[3] h[]] [h[6] h[4] h[1]]
This example shows how to compute the corners of a skew partition.
::
sage: SkewPartition([[4,3,1],[2]]).inner_corners() [(0, 2), (1, 0)] sage: SkewPartition([[4,3,1],[2]]).outer_corners() [(0, 3), (1, 2), (2, 0)]
REFERENCES:
.. [Mac95] Macdonald I.-G., (1995), "Symmetric Functions and Hall Polynomials", Oxford Science Publication
AUTHORS:
- Mike Hansen: Initial version - Travis Scrimshaw (2013-02-11): Factored out ``CombinatorialClass`` """ #***************************************************************************** # Copyright (C) 2007 Mike Hansen <mhansen@gmail.com>, # # Distributed under the terms of the GNU General Public License (GPL) # # This code is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # General Public License for more details. # # The full text of the GPL is available at: # # http://www.gnu.org/licenses/ #***************************************************************************** from __future__ import print_function
from six.moves import range
from sage.structure.global_options import GlobalOptions from sage.structure.parent import Parent from sage.structure.unique_representation import UniqueRepresentation from sage.categories.infinite_enumerated_sets import InfiniteEnumeratedSets from sage.categories.finite_enumerated_sets import FiniteEnumeratedSets
from sage.rings.all import ZZ, QQ from sage.sets.set import Set from sage.graphs.digraph import DiGraph from sage.matrix.matrix_space import MatrixSpace
from sage.combinat.combinat import CombinatorialElement from sage.combinat.partition import Partitions, _Partitions from sage.combinat.tableau import Tableaux from sage.combinat.composition import Compositions
class SkewPartition(CombinatorialElement): r""" A skew partition.
A skew partition of shape `\lambda / \mu` is the Young diagram from the partition `\lambda` and removing the partition `\mu` from the upper-left corner in English convention. """ @staticmethod def __classcall_private__(cls, skp): """ Return the skew partition object corresponding to ``skp``.
EXAMPLES::
sage: skp = SkewPartition([[3,2,1],[2,1]]); skp [3, 2, 1] / [2, 1] sage: skp.inner() [2, 1] sage: skp.outer() [3, 2, 1] """
def __init__(self, parent, skp): """ TESTS::
sage: skp = SkewPartition([[3,2,1],[2,1]]) sage: TestSuite(skp).run() """ [_Partitions(skp[0]), _Partitions(skp[1])])
def _repr_(self): """ Return a string representation of ``self``.
For more on the display options, see :obj:`SkewPartitions.options`.
EXAMPLES::
sage: SkewPartition([[3,2,1],[2,1]]) [3, 2, 1] / [2, 1] """
def _repr_quotient(self): """ Return a string representation of ``self``.
EXAMPLES::
sage: print(SkewPartition([[3,2,1],[2,1]])._repr_quotient()) [3, 2, 1] / [2, 1] """
def _repr_lists(self): """ Return a string representation of ``self`` as a pair of lists.
EXAMPLES::
sage: print(SkewPartition([[3,2,1],[2,1]])._repr_lists()) [[3, 2, 1], [2, 1]] """
def _latex_(self): r""" Return a `\LaTeX` representation of ``self``.
For more on the latex options, see :obj:`SkewPartitions.options`.
EXAMPLES::
sage: s = SkewPartition([[5,4,3],[3,1,1]]) sage: latex(s) {\def\lr#1{\multicolumn{1}{|@{\hspace{.6ex}}c@{\hspace{.6ex}}|}{\raisebox{-.3ex}{$#1$}}} \raisebox{-.6ex}{$\begin{array}[b]{*{5}c}\cline{4-5} &&&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{2-5} &\lr{\phantom{x}}&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{2-4} &\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{2-3} \end{array}$} } """
def _latex_diagram(self): r""" Return a `\LaTeX` representation as a young diagram.
EXAMPLES::
sage: print(SkewPartition([[5,4,3],[3,1,1]])._latex_diagram()) {\def\lr#1{\multicolumn{1}{|@{\hspace{.6ex}}c@{\hspace{.6ex}}|}{\raisebox{-.3ex}{$#1$}}} \raisebox{-.6ex}{$\begin{array}[b]{*{5}c}\cline{4-5} &&&\lr{\ast}&\lr{\ast}\\\cline{2-5} &\lr{\ast}&\lr{\ast}&\lr{\ast}\\\cline{2-4} &\lr{\ast}&\lr{\ast}\\\cline{2-3} \end{array}$} } """ return "{\\emptyset}"
def _latex_young_diagram(self): r""" Return a `\LaTeX` representation of ``self`` as a young diagram.
EXAMPLES::
sage: print(SkewPartition([[5,4,3],[3,1,1]])._latex_young_diagram()) {\def\lr#1{\multicolumn{1}{|@{\hspace{.6ex}}c@{\hspace{.6ex}}|}{\raisebox{-.3ex}{$#1$}}} \raisebox{-.6ex}{$\begin{array}[b]{*{5}c}\cline{4-5} &&&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{2-5} &\lr{\phantom{x}}&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{2-4} &\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{2-3} \end{array}$} } """ return "{\\emptyset}"
def _latex_marked(self): r""" Return a `\LaTeX` representation as a marked partition.
EXAMPLES::
sage: print(SkewPartition([[5,4,3],[3,1,1]])._latex_marked()) {\def\lr#1{\multicolumn{1}{|@{\hspace{.6ex}}c@{\hspace{.6ex}}|}{\raisebox{-.3ex}{$#1$}}} \raisebox{-.6ex}{$\begin{array}[b]{*{5}c}\cline{1-5} \lr{X}&\lr{X}&\lr{X}&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{1-5} \lr{X}&\lr{\phantom{x}}&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{1-4} \lr{X}&\lr{\phantom{x}}&\lr{\phantom{x}}\\\cline{1-3} \end{array}$} } """ return "{\\emptyset}"
def __setstate__(self, state): r""" In order to maintain backwards compatibility and be able to unpickle a old pickle from ``SkewPartition_class`` we have to override the default ``__setstate__``.
EXAMPLES::
sage: loads(b'x\x9c\x85P\xcbN\xc2@\x14\r\x08>\x06\xf1\xfd~\xbb+.\x9a\xa8\xdf\xe0\xc2McJ\xba4\x93i\xb9v&\xb4\x03w\x1e!,Ht!\xfe\xb6Sh1\xb0qw\xce}\x9c{\xee\xf9\xac\'\x9a\xa5\xe0\'\x83<\x16\x92\x19_\xf7aD\x87L\x19a\xc4@\x92\xae\xa3o\x15\xa3I\xc6\xb4&X\xeb|a}\x82k^\xd4\xa4\x9ci\x8e\x8d\xc0\xa1Lh\x83\xcdw\\\xf7\xe6\x92\xda(\x9b\x18\xab\xc0\xef\x8d%\xcbER\xae/3\xdc\xf0\xa2\x87\xc5\x05MY\x96\xd1\x910\x9c&\xcc@:Pc\x1f2\xc8A\x9a\xf9<n\xae\xf8\xfd\xb3\xba\x10!\xb8\x95P\x1a[\x91\x19!)%)\x18f\x8c"HV\x8dY)\xd0\x02U0T\xa0\xdd\r6[\xb7RA\xcf&@\xb0U\x1e\x9b[\x11\xa0}!?\x84\x14\x06(H\x9b\x83r\x8d\x1e\xd5`4y-\x1b/\x8bz\xb7(\xe3vg\xf2\x83\xed\x10w\xa2\xf6\xf2#\xbb\xd3\x10\xf7\xa6\xb8\x1f\x04\x81\t\xf1\xc0Ez\xc8[\xff?7K\x88\xe0Q!{\x1c\xe2\xc9\x04O=\xde\x08\xb8\x0b\xfe\xac\x0c^\t\x99\x16N\x9diP$g}\xa0\x15\xc1\xf3\xa8\xf6\xfc\x1d\xe2\x05w\xe0\xc9\x81\xcb\x02<:p\x05v\x1a\xf3\xc2\xc65w\xa27\x95\xe8\xadWM\xdcU\xe0\xbe\x18\x05\x1b\xfb\xbf\x8e\x7f\xcc\xbb') [3, 2, 1] / [1, 1] sage: loads(dumps( SkewPartition([[3,2,1], [1,1]]) )) [3, 2, 1] / [1, 1] """ else:
def ferrers_diagram(self): """ Return the Ferrers diagram of ``self``.
EXAMPLES::
sage: print(SkewPartition([[5,4,3,1],[3,3,1]]).ferrers_diagram()) ** * ** * sage: print(SkewPartition([[5,4,3,1],[3,1]]).diagram()) ** *** *** * sage: SkewPartitions.options(diagram_str='#', convention="French") sage: print(SkewPartition([[5,4,3,1],[3,1]]).diagram()) # ### ### ## sage: SkewPartitions.options._reset() """
else: else:
diagram = ferrers_diagram _repr_diagram = ferrers_diagram
def pp(self): """ Pretty-print ``self``.
EXAMPLES::
sage: SkewPartition([[5,4,3,1],[3,3,1]]).pp() ** * ** * """
def _ascii_art_(self): """ TESTS::
sage: ascii_art(SkewPartitions(3).list()) [ * * * * ] [ ** ** * * * * * * ] [ ***, * , * , **, ** , *, * , * , * ] sage: SkewPartitions.options(diagram_str='#', convention="French") sage: ascii_art(SkewPartitions(3).list()) [ # # # # ] [ # # ## ## # # # # ] [ ###, ##, ##, #, #, #, #, #, # ] sage: SkewPartitions.options._reset() """
def _unicode_art_(self): """ .. WARNING::
not working in presence of empty lines
TESTS::
sage: unicode_art(SkewPartitions(3).list()) ⎡ ┌┐ ┌┐ ┌┐ ┌┐ ⎤ ⎢ ┌┬┐ ┌┬┐ ┌┐ ┌┐ ├┤ ├┤ ┌┼┘ ┌┼┘ ⎥ ⎢ ┌┬┬┐ ├┼┘ ┌┼┴┘ ┌┼┤ ┌┬┼┘ ├┤ ┌┼┘ ├┤ ┌┼┘ ⎥ ⎣ └┴┴┘, └┘ , └┘ , └┴┘, └┴┘ , └┘, └┘ , └┘ , └┘ ⎦ sage: SkewPartitions.options.convention = "French" sage: unicode_art(SkewPartitions(3).list()) ⎡ ┌┐ ┌┐ ┌┐ ┌┐ ⎤ ⎢ ┌┐ ┌┐ ┌┬┐ ┌┬┐ ├┤ └┼┐ ├┤ └┼┐ ⎥ ⎢ ┌┬┬┐ ├┼┐ └┼┬┐ └┼┤ └┴┼┐ ├┤ ├┤ └┼┐ └┼┐ ⎥ ⎣ └┴┴┘, └┴┘, └┴┘, └┘, └┘, └┘, └┘, └┘, └┘ ⎦ sage: SkewPartitions.options._reset()
sage: unicode_art(SkewPartition([[3,1],[2]])) ┌┐ ┌┬┴┘ └┘ """ return u'∅' else:
# working with English conventions
else:
else:
else:
def inner(self): """ Return the inner partition of ``self``.
EXAMPLES::
sage: SkewPartition([[3,2,1],[1,1]]).inner() [1, 1] """
def outer(self): """ Return the outer partition of ``self``.
EXAMPLES::
sage: SkewPartition([[3,2,1],[1,1]]).outer() [3, 2, 1] """
def column_lengths(self): """ Return the column lengths of ``self``.
EXAMPLES::
sage: SkewPartition([[3,2,1],[1,1]]).column_lengths() [1, 2, 1] sage: SkewPartition([[5,2,2,2],[2,1]]).column_lengths() [2, 3, 1, 1, 1] """
def row_lengths(self): """ Return the row lengths of ``self``.
EXAMPLES::
sage: SkewPartition([[3,2,1],[1,1]]).row_lengths() [2, 1, 1] """
def size(self): """ Return the size of ``self``.
EXAMPLES::
sage: SkewPartition([[3,2,1],[1,1]]).size() 4 """
def is_connected(self): """ Return ``True`` if ``self`` is a connected skew partition.
A skew partition is said to be *connected* if for each pair of consecutive rows, there are at least two cells (one in each row) which have a common edge.
EXAMPLES::
sage: SkewPartition([[5,4,3,1],[3,3,1]]).is_connected() False sage: SkewPartition([[5,4,3,1],[3,1]]).is_connected() True """
def overlap(self): """ Return the overlap of ``self``.
The overlap of two consecutive rows in a skew partition is the number of pairs of cells (one in each row) that share a common edge. This number can be positive, zero, or negative.
The overlap of a skew partition is the minimum of the overlap of the consecutive rows, or infinity in the case of at most one row. If the overlap is positive, then the skew partition is called *connected*.
EXAMPLES::
sage: SkewPartition([[],[]]).overlap() +Infinity sage: SkewPartition([[1],[]]).overlap() +Infinity sage: SkewPartition([[10],[]]).overlap() +Infinity sage: SkewPartition([[10],[2]]).overlap() +Infinity sage: SkewPartition([[10,1],[2]]).overlap() -1 sage: SkewPartition([[10,10],[1]]).overlap() 9 """
def is_overlap(self, n): r""" Return ``True`` if the overlap of ``self`` is at most ``n``.
.. SEEALSO::
:meth:`overlap`
EXAMPLES::
sage: SkewPartition([[5,4,3,1],[3,1]]).is_overlap(1) True """
def is_ribbon(self): r""" Return ``True`` if and only if ``self`` is a ribbon, that is, if it has exactly one cell in each of `q` consecutive diagonals for some nonnegative integer `q`.
EXAMPLES::
sage: P=SkewPartition([[4,4,3,3],[3,2,2]]) sage: P.pp() * ** * *** sage: P.is_ribbon() True
sage: P=SkewPartition([[4,3,3],[1,1]]) sage: P.pp() *** ** *** sage: P.is_ribbon() False
sage: P=SkewPartition([[4,4,3,2],[3,2,2]]) sage: P.pp() * ** * ** sage: P.is_ribbon() False
sage: P=SkewPartition([[4,4,3,3],[4,2,2,1]]) sage: P.pp() <BLANKLINE> ** * ** sage: P.is_ribbon() True
sage: P=SkewPartition([[4,4,3,3],[4,2,2]]) sage: P.pp() <BLANKLINE> ** * *** sage: P.is_ribbon() True
sage: SkewPartition([[2,2,1],[2,2,1]]).is_ribbon() True """
return True else: # Find the least u for which lam[u]>mu[u], if it exists # If it does not exist then u will equal l_out else:
# Find the least v strictly greater than u for which # lam[v] != mu[v-1]+1 else:
# Check if lam[i]==mu[i] for all i >= v
def conjugate(self): """ Return the conjugate of the skew partition skp.
EXAMPLES::
sage: SkewPartition([[3,2,1],[2]]).conjugate() [3, 2, 1] / [1, 1] """
def outer_corners(self): """ Return a list of the outer corners of ``self``.
EXAMPLES::
sage: SkewPartition([[4, 3, 1], [2]]).outer_corners() [(0, 3), (1, 2), (2, 0)] """
def inner_corners(self): """ Return a list of the inner corners of ``self``.
EXAMPLES::
sage: SkewPartition([[4, 3, 1], [2]]).inner_corners() [(0, 2), (1, 0)] sage: SkewPartition([[4, 3, 1], []]).inner_corners() [(0, 0)] """ return [] else:
def cell_poset(self, orientation="SE"): """ Return the Young diagram of ``self`` as a poset. The optional keyword variable ``orientation`` determines the order relation of the poset.
The poset always uses the set of cells of the Young diagram of ``self`` as its ground set. The order relation of the poset depends on the ``orientation`` variable (which defaults to ``"SE"``). Concretely, ``orientation`` has to be specified to one of the strings ``"NW"``, ``"NE"``, ``"SW"``, and ``"SE"``, standing for "northwest", "northeast", "southwest" and "southeast", respectively. If ``orientation`` is ``"SE"``, then the order relation of the poset is such that a cell `u` is greater or equal to a cell `v` in the poset if and only if `u` lies weakly southeast of `v` (this means that `u` can be reached from `v` by a sequence of south and east steps; the sequence is allowed to consist of south steps only, or of east steps only, or even be empty). Similarly the order relation is defined for the other three orientations. The Young diagram is supposed to be drawn in English notation.
The elements of the poset are the cells of the Young diagram of ``self``, written as tuples of zero-based coordinates (so that `(3, 7)` stands for the `8`-th cell of the `4`-th row, etc.).
EXAMPLES::
sage: p = SkewPartition([[3,3,1], [2,1]]) sage: Q = p.cell_poset(); Q Finite poset containing 4 elements sage: sorted(Q) [(0, 2), (1, 1), (1, 2), (2, 0)] sage: sorted(Q.maximal_elements()) [(1, 2), (2, 0)] sage: sorted(Q.minimal_elements()) [(0, 2), (1, 1), (2, 0)] sage: sorted(Q.upper_covers((1, 1))) [(1, 2)] sage: sorted(Q.upper_covers((0, 2))) [(1, 2)]
sage: P = p.cell_poset(orientation="NW"); P Finite poset containing 4 elements sage: sorted(P) [(0, 2), (1, 1), (1, 2), (2, 0)] sage: sorted(P.minimal_elements()) [(1, 2), (2, 0)] sage: sorted(P.maximal_elements()) [(0, 2), (1, 1), (2, 0)] sage: sorted(P.upper_covers((1, 2))) [(0, 2), (1, 1)]
sage: R = p.cell_poset(orientation="NE"); R Finite poset containing 4 elements sage: sorted(R) [(0, 2), (1, 1), (1, 2), (2, 0)] sage: R.maximal_elements() [(0, 2)] sage: R.minimal_elements() [(2, 0)] sage: R.upper_covers((2, 0)) [(1, 1)] sage: sorted([len(R.upper_covers(v)) for v in R]) [0, 1, 1, 1]
TESTS:
We check that the posets are really what they should be for size up to `6`::
sage: def check_NW(n): ....: for p in SkewPartitions(n): ....: P = p.cell_poset(orientation="NW") ....: for c in p.cells(): ....: for d in p.cells(): ....: if P.le(c, d) != (c[0] >= d[0] ....: and c[1] >= d[1]): ....: return False ....: return True sage: all( check_NW(n) for n in range(7) ) True
sage: def check_NE(n): ....: for p in SkewPartitions(n): ....: P = p.cell_poset(orientation="NE") ....: for c in p.cells(): ....: for d in p.cells(): ....: if P.le(c, d) != (c[0] >= d[0] ....: and c[1] <= d[1]): ....: return False ....: return True sage: all( check_NE(n) for n in range(7) ) True
sage: def test_duality(n, ori1, ori2): ....: for p in SkewPartitions(n): ....: P = p.cell_poset(orientation=ori1) ....: Q = p.cell_poset(orientation=ori2) ....: for c in p.cells(): ....: for d in p.cells(): ....: if P.lt(c, d) != Q.lt(d, c): ....: return False ....: return True sage: all( test_duality(n, "NW", "SE") for n in range(7) ) True sage: all( test_duality(n, "NE", "SW") for n in range(7) ) True sage: all( test_duality(n, "NE", "SE") for n in range(4) ) False """ # Getting the cover relations seems hard, so let's just compute # the comparison function.
def frobenius_rank(self): r""" Return the Frobenius rank of the skew partition ``self``.
The Frobenius rank of a skew partition `\lambda / \mu` can be defined in various ways. The quickest one is probably the following: Writing `\lambda` as `(\lambda_1, \lambda_2, \cdots , \lambda_N)`, and writing `\mu` as `(\mu_1, \mu_2, \cdots , \mu_N)`, we define the Frobenius rank of `\lambda / \mu` to be the number of all `1 \leq i \leq N` such that
.. MATH::
\lambda_i - i \not\in \{ \mu_1 - 1, \mu_2 - 2, \cdots , \mu_N - N \}.
In other words, the Frobenius rank of `\lambda / \mu` is the number of rows in the Jacobi-Trudi matrix of `\lambda / \mu` which don't contain `h_0`. Further definitions have been considered in [Stan2002]_ (where Frobenius rank is just being called rank).
If `\mu` is the empty shape, then the Frobenius rank of `\lambda / \mu` is just the usual Frobenius rank of the partition `\lambda` (see :meth:`~sage.combinat.partition.Partition.frobenius_rank()`).
REFERENCES:
.. [Stan2002] Richard P. Stanley, *The rank and minimal border strip decompositions of a skew partition*, J. Combin. Theory Ser. A 100 (2002), pp. 349-375. :arxiv:`math/0109092v1`.
EXAMPLES::
sage: SkewPartition([[8,8,7,4], [4,1,1]]).frobenius_rank() 4 sage: SkewPartition([[2,1], [1]]).frobenius_rank() 2 sage: SkewPartition([[2,1,1], [1]]).frobenius_rank() 2 sage: SkewPartition([[2,1,1], [1,1]]).frobenius_rank() 2 sage: SkewPartition([[5,4,3,2], [2,1,1]]).frobenius_rank() 3 sage: SkewPartition([[4,2,1], [3,1,1]]).frobenius_rank() 2 sage: SkewPartition([[4,2,1], [3,2,1]]).frobenius_rank() 1
If the inner shape is empty, then the Frobenius rank of the skew partition is just the standard Frobenius rank of the partition::
sage: all( SkewPartition([lam, Partition([])]).frobenius_rank() ....: == lam.frobenius_rank() for i in range(6) ....: for lam in Partitions(i) ) True
If the inner and outer shapes are equal, then the Frobenius rank is zero::
sage: all( SkewPartition([lam, lam]).frobenius_rank() == 0 ....: for i in range(6) for lam in Partitions(i) ) True """
def cells(self): """ Return the coordinates of the cells of ``self``. Coordinates are given as ``(row-index, column-index)`` and are 0 based.
EXAMPLES::
sage: SkewPartition([[4, 3, 1], [2]]).cells() [(0, 2), (0, 3), (1, 0), (1, 1), (1, 2), (2, 0)] sage: SkewPartition([[4, 3, 1], []]).cells() [(0, 0), (0, 1), (0, 2), (0, 3), (1, 0), (1, 1), (1, 2), (2, 0)] sage: SkewPartition([[2], []]).cells() [(0, 0), (0, 1)] """
def to_list(self): """ Return ``self`` as a list of lists.
EXAMPLES::
sage: s = SkewPartition([[4,3,1],[2]]) sage: s.to_list() [[4, 3, 1], [2]] sage: type(s.to_list()) <... 'list'> """
def to_dag(self, format="string"): """ Return a directed acyclic graph corresponding to the skew partition ``self``.
The directed acyclic graph corresponding to a skew partition `p` is the digraph whose vertices are the cells of `p`, and whose edges go from each cell to its lower and right neighbors (in English notation).
INPUT:
- ``format`` -- either ``'string'`` or ``'tuple'`` (default: ``'string'``); determines whether the vertices of the resulting dag will be strings or 2-tuples of coordinates
EXAMPLES::
sage: dag = SkewPartition([[3, 3, 1], [1, 1]]).to_dag() sage: dag.edges() [('0,1', '0,2', None), ('0,1', '1,1', None), ('0,2', '1,2', None), ('1,1', '1,2', None)] sage: dag.vertices() ['0,1', '0,2', '1,1', '1,2', '2,0'] sage: dag = SkewPartition([[3, 2, 1], [1, 1]]).to_dag(format="tuple") sage: dag.edges() [((0, 1), (0, 2), None), ((0, 1), (1, 1), None)] sage: dag.vertices() [(0, 1), (0, 2), (1, 1), (2, 0)] """
else: #Check to see if there is a node to the right else:
#Check to see if there is anything below else:
def quotient(self, k): """ The quotient map extended to skew partitions.
EXAMPLES::
sage: SkewPartition([[3, 3, 2, 1], [2, 1]]).quotient(2) [[3] / [], [] / []] """ ## k-th element is the skew partition built using the k-th partition of the ## k-quotient of the outer and the inner partition. ## This bijection is only defined if the inner and the outer partition ## have the same core else: raise ValueError("quotient map is only defined for skew partitions with inner and outer partitions having the same core")
def rows_intersection_set(self): r""" Return the set of cells in the rows of the outer shape of ``self`` which rows intersect the skew diagram of ``self``.
EXAMPLES::
sage: skp = SkewPartition([[3,2,1],[2,1]]) sage: cells = Set([ (0,0), (0, 1), (0,2), (1, 0), (1, 1), (2, 0)]) sage: skp.rows_intersection_set() == cells True """
def columns_intersection_set(self): """ Return the set of cells in the columns of the outer shape of ``self`` which columns intersect the skew diagram of ``self``.
EXAMPLES::
sage: skp = SkewPartition([[3,2,1],[2,1]]) sage: cells = Set([ (0,0), (0, 1), (0,2), (1, 0), (1, 1), (2, 0)]) sage: skp.columns_intersection_set() == cells True """
def pieri_macdonald_coeffs(self): """ Computation of the coefficients which appear in the Pieri formula for Macdonald polynomials given in his book ( Chapter 6.6 formula 6.24(ii) )
EXAMPLES::
sage: SkewPartition([[3,2,1],[2,1]]).pieri_macdonald_coeffs() 1 sage: SkewPartition([[3,2,1],[2,2]]).pieri_macdonald_coeffs() (q^2*t^3 - q^2*t - t^2 + 1)/(q^2*t^3 - q*t^2 - q*t + 1) sage: SkewPartition([[3,2,1],[2,2,1]]).pieri_macdonald_coeffs() (q^6*t^8 - q^6*t^6 - q^4*t^7 - q^5*t^5 + q^4*t^5 - q^3*t^6 + q^5*t^3 + 2*q^3*t^4 + q*t^5 - q^3*t^2 + q^2*t^3 - q*t^3 - q^2*t - t^2 + 1)/(q^6*t^8 - q^5*t^7 - q^5*t^6 - q^4*t^6 + q^3*t^5 + 2*q^3*t^4 + q^3*t^3 - q^2*t^2 - q*t^2 - q*t + 1) sage: SkewPartition([[3,3,2,2],[3,2,2,1]]).pieri_macdonald_coeffs() (q^5*t^6 - q^5*t^5 + q^4*t^6 - q^4*t^5 - q^4*t^3 + q^4*t^2 - q^3*t^3 - q^2*t^4 + q^3*t^2 + q^2*t^3 - q*t^4 + q*t^3 + q*t - q + t - 1)/(q^5*t^6 - q^4*t^5 - q^3*t^4 - q^3*t^3 + q^2*t^3 + q^2*t^2 + q*t - 1) """
def k_conjugate(self, k): """ Return the `k`-conjugate of the skew partition.
EXAMPLES::
sage: SkewPartition([[3,2,1],[2,1]]).k_conjugate(3) [2, 1, 1, 1, 1] / [2, 1] sage: SkewPartition([[3,2,1],[2,1]]).k_conjugate(4) [2, 2, 1, 1] / [2, 1] sage: SkewPartition([[3,2,1],[2,1]]).k_conjugate(5) [3, 2, 1] / [2, 1] """
def jacobi_trudi(self): """ Return the Jacobi-Trudi matrix of ``self``.
EXAMPLES::
sage: SkewPartition([[3,2,1],[2,1]]).jacobi_trudi() [h[1] 0 0] [h[3] h[1] 0] [h[5] h[3] h[1]] sage: SkewPartition([[4,3,2],[2,1]]).jacobi_trudi() [h[2] h[] 0] [h[4] h[2] h[]] [h[6] h[4] h[2]] """ return MatrixSpace(SymmetricFunctions(QQ).homogeneous(), 0)(0)
else:
def row_lengths_aux(skp): """ EXAMPLES::
sage: from sage.combinat.skew_partition import row_lengths_aux sage: row_lengths_aux([[5,4,3,1],[3,3,1]]) [2, 1, 2] sage: row_lengths_aux([[5,4,3,1],[3,1]]) [2, 3] """ return [] else:
class SkewPartitions(UniqueRepresentation, Parent): """ Skew partitions.
.. WARNING::
The iterator of this class only yields skew partitions which are reduced, in the sense that there are no empty rows before the last nonempty row, and there are no empty columns before the last nonempty column.
EXAMPLES::
sage: SkewPartitions(4) Skew partitions of 4 sage: SkewPartitions(4).cardinality() 28 sage: SkewPartitions(row_lengths=[2,1,2]) Skew partitions with row lengths [2, 1, 2] sage: SkewPartitions(4, overlap=2) Skew partitions of 4 with a minimum overlap of 2 sage: SkewPartitions(4, overlap=2).list() [[4] / [], [2, 2] / []] """ @staticmethod def __classcall_private__(self, n=None, row_lengths=None, overlap=0): """ Return the correct parent based upon the input.
EXAMPLES::
sage: SP1 = SkewPartitions(row_lengths=(2,1,2)) sage: SP2 = SkewPartitions(row_lengths=[2,1,2]) sage: SP1 is SP2 True """ raise ValueError("you can only specify one of n or row_lengths") else:
def __init__(self, is_infinite=False): """ TESTS::
sage: S = SkewPartitions() sage: TestSuite(S).run() """ else:
# add options to class class options(GlobalOptions): """ Sets and displays the options for elements of the skew partition classes. If no parameters are set, then the function returns a copy of the options dictionary.
The ``options`` to skew partitions can be accessed as the method :obj:`SkewPartitions.options` of :class:`SkewPartitions` and related parent classes.
@OPTIONS@
EXAMPLES::
sage: SP = SkewPartition([[4,2,2,1], [3, 1, 1]]) sage: SP [4, 2, 2, 1] / [3, 1, 1] sage: SkewPartitions.options.display="lists" sage: SP [[4, 2, 2, 1], [3, 1, 1]]
Changing the ``convention`` for skew partitions also changes the ``convention`` option for partitions and tableaux and vice versa::
sage: SkewPartitions.options(display="diagram", convention='French') sage: SP * * * * sage: T = Tableau([[1,2,3],[4,5]]) sage: T.pp() 4 5 1 2 3 sage: P = Partition([4, 2, 2, 1]) sage: P.pp() * ** ** **** sage: Tableaux.options.convention="english" sage: SP * * * * sage: T.pp() 1 2 3 4 5 sage: SkewPartitions.options._reset() """ NAME = 'SkewPartitions' module = 'sage.combinat.skew_partition' display = dict(default="quotient", description='Specifies how skew partitions should be printed', values=dict(lists='displayed as a pair of lists', quotient='displayed as a quotient of partitions', diagram='as a skew Ferrers diagram'), alias=dict(array="diagram", ferrers_diagram="diagram", young_diagram="diagram", pair="lists"), case_sensitive=False) latex = dict(default="young_diagram", description='Specifies how skew partitions should be latexed', values=dict(diagram='latex as a skew Ferrers diagram', young_diagram='latex as a skew Young diagram', marked='latex as a partition where the skew shape is marked'), alias=dict(array="diagram", ferrers_diagram="diagram"), case_sensitive=False) diagram_str = dict(link_to=(Partitions.options,'diagram_str')) latex_diagram_str = dict(link_to=(Partitions.options,'latex_diagram_str')) latex_marking_str = dict(default="X", description='The character used to marked the deleted cells when latexing marked partitions', checker=lambda char: isinstance(char, str)) convention = dict(link_to=(Tableaux.options,'convention')) notation = dict(alt_name='convention')
Element = SkewPartition
def _element_constructor_(self, skp): """ Construct an element of ``self``.
EXAMPLES::
sage: S = SkewPartitions() sage: S([[3,1], [1]]) [3, 1] / [1] """
def __contains__(self, x): """ TESTS::
sage: [[], []] in SkewPartitions() True sage: [[], [1]] in SkewPartitions() False sage: [[], [-1]] in SkewPartitions() False sage: [[], [0]] in SkewPartitions() True sage: [[3,2,1],[]] in SkewPartitions() True sage: [[3,2,1],[1]] in SkewPartitions() True sage: [[3,2,1],[2]] in SkewPartitions() True sage: [[3,2,1],[3]] in SkewPartitions() True sage: [[3,2,1],[4]] in SkewPartitions() False sage: [[3,2,1],[1,1]] in SkewPartitions() True sage: [[3,2,1],[1,2]] in SkewPartitions() False sage: [[3,2,1],[2,1]] in SkewPartitions() True sage: [[3,2,1],[2,2]] in SkewPartitions() True sage: [[3,2,1],[3,2]] in SkewPartitions() True sage: [[3,2,1],[1,1,1]] in SkewPartitions() True sage: [[7, 4, 3, 2], [8, 2, 1]] in SkewPartitions() False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions() True sage: [[4,2,1],[1,1,1,1]] in SkewPartitions() False sage: [[1,1,1,0],[1,1,0,0]] in SkewPartitions() True """
def from_row_and_column_length(self, rowL, colL): """ Construct a partition from its row lengths and column lengths.
INPUT:
- ``rowL`` -- A composition or a list of positive integers
- ``colL`` -- A composition or a list of positive integers
OUTPUT:
- If it exists the unique skew-partitions with row lengths ``rowL`` and column lengths ``colL``. - Raise a ``ValueError`` if ``rowL`` and ``colL`` are not compatible.
EXAMPLES::
sage: S = SkewPartitions() sage: print(S.from_row_and_column_length([3,1,2,2],[2,3,1,1,1]).diagram()) *** * ** ** sage: S.from_row_and_column_length([],[]) [] / [] sage: S.from_row_and_column_length([1],[1]) [1] / [] sage: S.from_row_and_column_length([2,1],[2,1]) [2, 1] / [] sage: S.from_row_and_column_length([1,2],[1,2]) [2, 2] / [1] sage: S.from_row_and_column_length([1,2],[1,3]) Traceback (most recent call last): ... ValueError: Sum mismatch : [1, 2] and [1, 3] sage: S.from_row_and_column_length([3,2,1,2],[2,3,1,1,1]) Traceback (most recent call last): ... ValueError: Incompatible row and column length : [3, 2, 1, 2] and [2, 3, 1, 1, 1]
.. WARNING::
If some rows and columns have length zero, there is no way to retrieve unambiguously the skew partition. We therefore raise a ``ValueError``. For examples here are two skew partitions with the same row and column lengths::
sage: skp1 = SkewPartition([[2,2],[2,2]]) sage: skp2 = SkewPartition([[2,1],[2,1]]) sage: skp1.row_lengths(), skp1.column_lengths() ([0, 0], [0, 0]) sage: skp2.row_lengths(), skp2.column_lengths() ([0, 0], [0, 0]) sage: SkewPartitions().from_row_and_column_length([0,0], [0,0]) Traceback (most recent call last): ... ValueError: row and column length must be positive
TESTS::
sage: all(SkewPartitions().from_row_and_column_length(p.row_lengths(), p.column_lengths()) == p ....: for i in range(8) for p in SkewPartitions(i)) True """ raise ValueError("Incompatible row and column length : %s and %s"%(rowL, colL))
class SkewPartitions_all(SkewPartitions): """ Class of all skew partitions. """ def __init__(self): """ Initialize ``self``.
EXAMPLES::
sage: S = SkewPartitions() sage: TestSuite(S).run() """
def _repr_(self): """ TESTS::
sage: SkewPartitions() Skew partitions """
def __iter__(self): """ Iterate over ``self``.
EXAMPLES::
sage: SP = SkewPartitions() sage: it = SP.__iter__() sage: [next(it) for x in range(10)] [[] / [], [1] / [], [2] / [], [1, 1] / [], [2, 1] / [1], [3] / [], [2, 1] / [], [3, 1] / [1], [2, 2] / [1], [3, 2] / [2]] """
class SkewPartitions_n(SkewPartitions): """ The set of skew partitions of ``n`` with overlap at least ``overlap`` and no empty row.
INPUT:
- ``n`` -- a non-negative integer
- ``overlap`` -- an integer (default: `0`)
Caveat: this set is stable under conjugation only for ``overlap`` equal to 0 or 1. What exactly happens for negative overlaps is not yet well specified and subject to change (we may want to introduce vertical overlap constraints as well).
.. TODO::
As is, this set is essentially the composition of ``Compositions(n)`` (which give the row lengths) and ``SkewPartition(n, row_lengths=...)``, and one would want to "inherit" list and cardinality from this composition. """ @staticmethod def __classcall_private__(cls, n, overlap=0): """ Normalize input so we have a unique representation.
EXAMPLES::
sage: S = SkewPartitions(3, overlap=1) sage: S2 = SkewPartitions(int(3), overlap='connected') sage: S is S2 True """
def __init__(self, n, overlap): """ Return the set of the skew partitions of ``n`` with overlap at least ``overlap``, and no empty row.
The iteration order is not specified yet.
Caveat: this set is stable under conjugation only for overlap= 0 or 1. What exactly happens for negative overlaps is not yet well specified, and subject to change (we may want to introduce vertical overlap constraints as well). ``overlap`` would also better be named ``min_overlap``.
Todo: as is, this set is essentially the composition of ``Compositions(n)`` (which give the row lengths) and ``SkewPartition(n, row_lengths=...)``, and one would want to "inherit" list and cardinality from this composition.
INPUT:
- ``n`` -- a non-negative integer - ``overlap`` -- an integer
TESTS::
sage: S = SkewPartitions(3) sage: TestSuite(S).run() sage: S = SkewPartitions(3, overlap=1) sage: TestSuite(S).run() """
def __contains__(self, x): """ TESTS::
sage: [[],[]] in SkewPartitions(0) True sage: [[3,2,1], []] in SkewPartitions(6) True sage: [[3,2,1], []] in SkewPartitions(7) False sage: [[3,2,1], []] in SkewPartitions(5) False sage: [[7, 4, 3, 2], [8, 2, 1]] in SkewPartitions(8) False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(8) False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(5) False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(5, overlap=-1) False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(8, overlap=-1) True sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(8, overlap=0) False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(8, overlap='connected') False sage: [[7, 4, 3, 2], [5, 2, 1]] in SkewPartitions(8, overlap=-2) True """ and sum(x[0])-sum(x[1]) == self.n \ and self.overlap <= SkewPartition(x).overlap()
def _repr_(self): """ TESTS::
sage: SkewPartitions(3) Skew partitions of 3 sage: SkewPartitions(3, overlap=1) Skew partitions of 3 with a minimum overlap of 1 """
def _count_slide(self, co, overlap=0): """ Return the number of skew partitions related to the composition ``co`` by 'sliding'. The composition ``co`` is the list of row lengths of the skew partition.
EXAMPLES::
sage: s = SkewPartitions(3) sage: s._count_slide([2,1]) 2 sage: [ sp for sp in s if sp.row_lengths() == [2,1] ] [[2, 1] / [], [3, 1] / [1]] sage: s = SkewPartitions(3, overlap=1) sage: s._count_slide([2,1], overlap=1) 1 sage: [ sp for sp in s if sp.row_lengths() == [2,1] ] [[2, 1] / []] """
def cardinality(self): """ Return the number of skew partitions of the integer `n` (with given overlap, if specified; and with no empty rows before the last row).
EXAMPLES::
sage: SkewPartitions(0).cardinality() 1 sage: SkewPartitions(4).cardinality() 28 sage: SkewPartitions(5).cardinality() 87 sage: SkewPartitions(4, overlap=1).cardinality() 9 sage: SkewPartitions(5, overlap=1).cardinality() 20 sage: s = SkewPartitions(5, overlap=-1) sage: s.cardinality() == len(s.list()) True """
else:
def __iter__(self): """ Iterate through the skew partitions of `n` (with given overlap, if specified; and with no empty rows before the last row).
EXAMPLES::
sage: SkewPartitions(3).list() [[3] / [], [2, 1] / [], [3, 1] / [1], [2, 2] / [1], [3, 2] / [2], [1, 1, 1] / [], [2, 2, 1] / [1, 1], [2, 1, 1] / [1], [3, 2, 1] / [2, 1]]
sage: SkewPartitions(3, overlap=0).list() [[3] / [], [2, 1] / [], [3, 1] / [1], [2, 2] / [1], [3, 2] / [2], [1, 1, 1] / [], [2, 2, 1] / [1, 1], [2, 1, 1] / [1], [3, 2, 1] / [2, 1]] sage: SkewPartitions(3, overlap=1).list() [[3] / [], [2, 1] / [], [2, 2] / [1], [1, 1, 1] / []] sage: SkewPartitions(3, overlap=2).list() [[3] / []] sage: SkewPartitions(3, overlap=3).list() [[3] / []] sage: SkewPartitions(3, overlap=4).list() [] """
###################################### # Skew Partitions (from row lengths) # ###################################### class SkewPartitions_rowlengths(SkewPartitions): """ All skew partitions with given row lengths. """ @staticmethod def __classcall_private__(cls, co, overlap=0): """ Normalize input to ensure a unique representation.
EXAMPLES::
sage: S = SkewPartitions(row_lengths=[2,1], overlap=1) sage: S2 = SkewPartitions(row_lengths=(2,1), overlap='connected') sage: S is S2 True """
def __init__(self, co, overlap): """ TESTS::
sage: S = SkewPartitions(row_lengths=[2,1]) sage: TestSuite(S).run() """
def __contains__(self, x): """ EXAMPLES::
sage: [[4,3,1],[2]] in SkewPartitions(row_lengths=[2,3,1]) True sage: [[4,3,1],[2]] in SkewPartitions(row_lengths=[2,1,3]) False sage: [[5,4,3,1],[3,3,1]] in SkewPartitions(row_lengths=[2,1,1,2]) False sage: [[5,4,3,1],[3,3,1]] in SkewPartitions(row_lengths=[2,1,2,1]) True """ return False
def _repr_(self): """ TESTS::
sage: SkewPartitions(row_lengths=[2,1]) Skew partitions with row lengths [2, 1] """
def _from_row_lengths_aux(self, sskp, ck_1, ck, overlap=0): """ EXAMPLES::
sage: s = SkewPartitions(row_lengths=[2,1]) sage: list(s._from_row_lengths_aux([[1], []], 1, 1, overlap=0)) [[1, 1] / [], [2, 1] / [1]] sage: list(s._from_row_lengths_aux([[1, 1], []], 1, 1, overlap=0)) [[1, 1, 1] / [], [2, 2, 1] / [1, 1]] sage: list(s._from_row_lengths_aux([[2, 1], [1]], 1, 1, overlap=0)) [[2, 1, 1] / [1], [3, 2, 1] / [2, 1]] sage: list(s._from_row_lengths_aux([[1], []], 1, 2, overlap=0)) [[2, 2] / [1], [3, 2] / [2]] sage: list(s._from_row_lengths_aux([[2], []], 2, 1, overlap=0)) [[2, 1] / [], [3, 1] / [1]] """ # nn should be >= 0. In the case of the positive overlap, # the min_part condition insures ck>=overlap for all k
def __iter__(self): """ Iterate through all the skew partitions that have row lengths given by the composition ``self.co``.
EXAMPLES::
sage: SkewPartitions(row_lengths=[2,2]).list() [[2, 2] / [], [3, 2] / [1], [4, 2] / [2]] sage: SkewPartitions(row_lengths=[2,2], overlap=1).list() [[2, 2] / [], [3, 2] / [1]] """
from sage.structure.sage_object import register_unpickle_override register_unpickle_override('sage.combinat.skew_partition', 'SkewPartition_class', SkewPartition)
# Deprecations from trac:18555. July 2016 from sage.misc.superseded import deprecated_function_alias SkewPartitions.global_options=deprecated_function_alias(18555, SkewPartitions.options) |