def __init__(self, dominant_weight):
"""
EXAMPLES::
sage: C=CartanType(['E',6])
sage: La=C.root_system().weight_lattice().fundamental_weights()
sage: p2=2*La[2]
sage: p1=La[2]
sage: p0=0*La[2]
sage: T = crystals.HighestWeight(0*La[2])
sage: T.cardinality()
1
sage: T = crystals.HighestWeight(La[2])
sage: T.cardinality()
78
sage: T = crystals.HighestWeight(2*La[2])
sage: T.cardinality()
2430
"""
B1 = CrystalOfLetters(['E',6])
B6 = CrystalOfLetters(['E',6], dual = True)
self.column_crystal = {1 : B1, 6 : B6,
4 : TensorProductOfCrystals(B1,B1,B1,generators=[[B1([-3,4]),B1([-1,3]),B1([1])]]),
3 : TensorProductOfCrystals(B1,B1,generators=[[B1([-1,3]),B1([1])]]),
5 : TensorProductOfCrystals(B6,B6,generators=[[B6([5,-6]),B6([6])]]),
2 : TensorProductOfCrystals(B6,B1,generators=[[B6([2,-1]),B1([1])]])}
FiniteDimensionalHighestWeightCrystal_TypeE.__init__(self, dominant_weight)
def __init__(self, cartan_type, B, biject_class):
r"""
Construct a tensor product of KR tableaux.
INPUT:
- ``cartan_type`` -- The crystal type and n value
- ``B`` -- An (ordered) list of dimensions
- ``biject_class`` -- The class the bijection creates
The dimensions (i.e. `B`) is a list whose entries are lists of the
form `[r, s]` which correspond to a tableau with `r` rows and `s`
columns (or of shape `[r]*s`) and corresponds to a
Kirillov-Reshetikhin crystal `B^{r,s}`.
TESTS::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,2]]); HW # indirect doctest
Highest weight tensor product of Kirillov-Reshetikhin tableaux of type ['A', 3, 1] and tableau shape(s) [[1, 1, 1], [2, 2]]
"""
assert cartan_type.is_affine()
self.affine_ct = cartan_type
self.dims = B
self.letters = CrystalOfLetters(cartan_type)
self._bijection_class = biject_class
tensorProd = []
for rectDims in B:
tensorProd.append(
KirillovReshetikhinTableaux(self.letters.cartan_type(),
rectDims[0], rectDims[1]))
FullTensorProductOfCrystals.__init__(self, tuple(tensorProd))
def endpoint6(r):
"""
Return the endpoint for `B^{r,1}` in type `E_6^{(1)}`.
EXAMPLES::
sage: from sage.combinat.rigged_configurations.bij_type_E67 import endpoint6
sage: endpoint6(1)
(1,)
sage: endpoint6(2)
(-3, 2)
sage: endpoint6(3)
(-1, 3)
sage: endpoint6(4)
(-3, 4)
sage: endpoint6(5)
(-2, 5)
sage: endpoint6(6)
(-1, 6)
"""
C = CrystalOfLetters(['E', 6])
if r == 1:
return C.module_generators[0] # C((1,))
elif r == 2:
return C((-3, 2))
elif r == 3:
return C((-1, 3))
elif r == 4:
return C((-3, 4))
elif r == 5:
return C((-2, 5))
elif r == 6:
return C((-1, 6))
def __init__(self, cartan_type, B):
r"""
Initialize ``self``.
EXAMPLES::
sage: KRT = crystals.TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1],[2,2]]); KRT
Tensor product of Kirillov-Reshetikhin tableaux of type ['A', 3, 1] and factor(s) ((3, 1), (2, 2))
sage: TestSuite(KRT).run() # long time
sage: KRT = crystals.TensorProductOfKirillovReshetikhinTableaux(['D',4,1], [[2,2]])
sage: TestSuite(KRT).run() # long time
sage: KRT = crystals.TensorProductOfKirillovReshetikhinTableaux(['D',4,1], [[3,1]])
sage: TestSuite(KRT).run() # long time
sage: KRT = crystals.TensorProductOfKirillovReshetikhinTableaux(['D',4,1], [[4,3]])
sage: TestSuite(KRT).run() # long time
"""
self.dims = B
self.letters = CrystalOfLetters(cartan_type.classical())
tensor_prod = tuple(
KirillovReshetikhinTableaux(cartan_type, rect_dims[0],
rect_dims[1]) for rect_dims in B)
FullTensorProductOfRegularCrystals.__init__(self,
tensor_prod,
cartan_type=cartan_type)
# This is needed to override the module_generators set in FullTensorProductOfRegularCrystals
self.module_generators = HighestWeightTensorKRT(self)
self.rename("Tensor product of Kirillov-Reshetikhin tableaux of type %s and factor(s) %s"%(\
cartan_type, B))
def __init__(self, dominant_weight):
"""
EXAMPLES::
sage: C=CartanType(['E',7])
sage: La=C.root_system().weight_lattice().fundamental_weights()
sage: T = crystals.HighestWeight(0*La[1])
sage: T.cardinality()
1
sage: T = crystals.HighestWeight(La[1])
sage: T.cardinality()
133
sage: T = crystals.HighestWeight(2*La[1])
sage: T.cardinality()
7371
"""
B = CrystalOfLetters(['E',7])
self.column_crystal = {7 : B,
1 : TensorProductOfCrystals(B,B,generators=[[B([-7,1]),B([7])]]),
2 : TensorProductOfCrystals(B,B,B,generators=[[B([-1,2]),B([-7,1]),B([7])]]),
3 : TensorProductOfCrystals(B,B,B,B,generators=[[B([-2,3]),B([-1,2]),B([-7,1]),B([7])]]),
4 : TensorProductOfCrystals(B,B,B,B,generators=[[B([-5,4]),B([-6,5]),B([-7,6]),B([7])]]),
5 : TensorProductOfCrystals(B,B,B,generators=[[B([-6,5]),B([-7,6]),B([7])]]),
6 : TensorProductOfCrystals(B,B,generators=[[B([-7,6]),B([7])]])}
FiniteDimensionalHighestWeightCrystal_TypeE.__init__(self, dominant_weight)
def __init__(self, cartan_type, B, biject_class):
r"""
Construct a tensor product of KR tableaux.
INPUT:
- ``cartan_type`` -- The crystal type and n value
- ``B`` -- An (ordered) list of dimensions
- ``biject_class`` -- The class the bijection creates
The dimensions (i.e. `B`) is a list whose entries are lists of the
form `[r, s]` which correspond to a tableau with `r` rows and `s`
columns (or of shape `[r]*s`) and corresponds to a
Kirillov-Reshetikhin crystal `B^{r,s}`.
TESTS::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,2]]); HW # indirect doctest
Highest weight tensor product of Kirillov-Reshetikhin tableaux of type ['A', 3, 1] and tableau shape(s) [[1, 1, 1], [2, 2]]
"""
assert cartan_type.is_affine()
self.affine_ct = cartan_type
self.dims = B
self.letters = CrystalOfLetters(cartan_type)
self._bijection_class = biject_class
tensorProd = []
for rectDims in B:
tensorProd.append(KirillovReshetikhinTableaux(
self.letters.cartan_type(),
rectDims[0], rectDims[1]))
FullTensorProductOfCrystals.__init__(self, tuple(tensorProd))
def __init__(self, cartan_type, r, s):
r"""
Initialize the KirillovReshetikhinTableaux class.
INPUT:
- ``cartan_type`` -- The Cartan type
- ``r`` -- The number of rows
- ``s`` -- The number of columns
EXAMPLES::
sage: KRT = KirillovReshetikhinTableaux(['A', 4, 1], 2, 3); KRT
Kirillov-Reshetikhin tableaux of type ['A', 4, 1] and shape (2, 3)
sage: TestSuite(KRT).run() # long time (4s on sage.math, 2013)
sage: KRT = KirillovReshetikhinTableaux(['D', 4, 1], 2, 3); KRT
Kirillov-Reshetikhin tableaux of type ['D', 4, 1] and shape (2, 3)
sage: TestSuite(KRT).run() # long time (53s on sage.math, 2013)
sage: KRT = KirillovReshetikhinTableaux(['D', 4, 1], 4, 1); KRT
Kirillov-Reshetikhin tableaux of type ['D', 4, 1] and shape (4, 1)
sage: TestSuite(KRT).run()
"""
self._r = r
self._s = s
Parent.__init__(self, category=FiniteCrystals())
self.rename(
"Kirillov-Reshetikhin tableaux of type %s and shape (%d, %d)" %
(cartan_type, r, s))
self._cartan_type = cartan_type.classical()
self.letters = CrystalOfLetters(self._cartan_type)
self.module_generators = self._build_module_generators()
def _call_(self, x):
r"""
Return the image of ``x`` in the tableau model of `B(\infty)`.
EXAMPLES::
sage: T = crystals.infinity.Tableaux(['A',3])
sage: RC = crystals.infinity.RiggedConfigurations(['A',3])
sage: phi = T.coerce_map_from(RC)
sage: x = RC.an_element().f_string([2,2,1,1,3,2,1,2,1,3])
sage: y = phi(x); y.pp()
1 1 1 1 1 2 2 3 4
2 2 3 4
3
sage: (~phi)(y) == x
True
"""
lam = [sum(nu) + 1 for nu in x]
ct = self.domain().cartan_type()
I = ct.index_set()
if ct.type() == 'D':
lam[-2] = max(lam[-2], lam[-1])
lam.pop()
l = sum([[[r + 1, 1]] * v for r, v in enumerate(lam[:-1])], [])
n = len(I)
l = l + sum([[[n, 1], [n - 1, 1]] for k in range(lam[-1])], [])
else:
if ct.type() == 'B':
lam[-1] *= 2
l = sum([[[r, 1]] * lam[i] for i, r in enumerate(I)], [])
RC = RiggedConfigurations(ct.affine(), reversed(l))
elt = RC(x)
if ct.type() == 'A':
bij = RCToKRTBijectionTypeA(elt)
elif ct.type() == 'B':
bij = RCToMLTBijectionTypeB(elt)
elif ct.type() == 'C':
bij = RCToKRTBijectionTypeC(elt)
elif ct.type() == 'D':
bij = RCToMLTBijectionTypeD(elt)
else:
raise NotImplementedError(
"bijection of type {} not yet implemented".format(ct))
y = bij.run()
# Now make the result marginally large
y = [list(c) for c in y]
cur = []
L = CrystalOfLetters(ct)
for i in I:
cur.insert(0, L(i))
c = y.count(cur)
while c > 1:
y.remove(cur)
c -= 1
return self.codomain()(*flatten(y))
def __init__(self, cartan_type):
"""
Initialize ``self``.
EXAMPLES::
sage: B = crystals.infinity.Tableaux(['A',2])
sage: TestSuite(B).run() # long time
"""
Parent.__init__( self, category=(HighestWeightCrystals(), InfiniteEnumeratedSets()) )
self._cartan_type = cartan_type
self.letters = CrystalOfLetters(cartan_type)
self.module_generators = (self.module_generator(),)
def run(self):
r"""
Run the bijection from rigged configurations to a marginally large
tableau.
EXAMPLES::
sage: vct = CartanType(['B',4]).as_folding()
sage: RC = crystals.infinity.RiggedConfigurations(vct)
sage: T = crystals.infinity.Tableaux(['B',4])
sage: Psi = RC.crystal_morphism({RC.module_generators[0]: T.module_generators[0]})
sage: RCS = [x.value for x in RC.subcrystal(max_depth=4)]
sage: all(Psi(nu) == T(nu) for nu in RCS) # long time # indirect doctest
True
"""
letters = CrystalOfLetters(
self.rigged_con.parent()._cartan_type.classical())
ret_crystal_path = []
while self.cur_dims:
dim = self.cur_dims[0]
ret_crystal_path.append([])
# Assumption: all factors are single columns
if dim[0] == self.n:
# Spinor case, since we've done 2\Lambda_n -> \Lambda_{n-1}
self.cur_dims.pop(1)
while dim[0] > 0:
dim[0] -= 1 # This takes care of the indexing
b = self.next_state(dim[0])
# Make sure we have a crystal letter
ret_crystal_path[-1].append(letters(b)) # Append the rank
self.cur_dims.pop(0) # Pop off the leading column
return ret_crystal_path
def endpoint7(r):
"""
Return the endpoint for `B^{r,1}` in type `E_7^{(1)}`.
EXAMPLES::
sage: from sage.combinat.rigged_configurations.bij_type_E67 import endpoint7
sage: endpoint7(1)
(-7, 1)
sage: endpoint7(2)
(-1, 2)
sage: endpoint7(3)
(-2, 3)
sage: endpoint7(4)
(-5, 4)
sage: endpoint7(5)
(-6, 5)
sage: endpoint7(6)
(-7, 6)
sage: endpoint7(7)
(7,)
"""
C = CrystalOfLetters(['E', 7])
if r == 1:
return C((-7, 1))
elif r == 2:
return C((-1, 2))
elif r == 3:
return C((-2, 3))
elif r == 4:
return C((-5, 4))
elif r == 5:
return C((-6, 5))
elif r == 6:
return C((-7, 6))
elif r == 7:
return C.module_generators[0] # C((7,))
def run(self, verbose=False, build_graph=False):
"""
Run the bijection from rigged configurations to tensor product of KR
tableaux.
INPUT:
- ``verbose`` -- (default: ``False``) display each step in the
bijection
- ``build_graph`` -- (default: ``False``) build the graph of each
step of the bijection
EXAMPLES::
sage: RC = RiggedConfigurations(['A', 4, 1], [[2, 1]])
sage: x = RC(partition_list=[[1],[1],[1],[1]])
sage: from sage.combinat.rigged_configurations.bij_type_A import RCToKRTBijectionTypeA
sage: RCToKRTBijectionTypeA(x).run()
[[2], [5]]
sage: bij = RCToKRTBijectionTypeA(x)
sage: bij.run(build_graph=True)
[[2], [5]]
sage: bij._graph
Digraph on 3 vertices
"""
from sage.combinat.crystals.letters import CrystalOfLetters
letters = CrystalOfLetters(
self.rigged_con.parent()._cartan_type.classical())
# This is technically bad, but because the first thing we do is append
# an empty list to ret_crystal_path, we correct this. We do it this
# way so that we do not have to remove an empty list after the
# bijection has been performed.
ret_crystal_path = []
for dim in self.rigged_con.parent().dims:
ret_crystal_path.append([])
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if self.cur_dims[0][1] > 1:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions,
use_vacancy_numbers=True)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying column split")
self.cur_dims[0][1] -= 1
self.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(self.n):
self._update_vacancy_numbers(a)
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append(
[self._graph[-1][1], (y, len(self._graph)), 'ls'])
while self.cur_dims[0][0] > 0:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions,
use_vacancy_numbers=True)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
self.cur_dims[0][0] -= 1 # This takes care of the indexing
b = self.next_state(self.cur_dims[0][0])
# Make sure we have a crystal letter
ret_crystal_path[-1].append(letters(b)) # Append the rank
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append([
self._graph[-1][1], (y, len(self._graph)),
letters(b)
])
self.cur_dims.pop(0) # Pop off the leading column
if build_graph:
self._graph.pop(0) # Remove the dummy at the start
from sage.graphs.digraph import DiGraph
from sage.graphs.dot2tex_utils import have_dot2tex
self._graph = DiGraph(self._graph)
if have_dot2tex():
self._graph.set_latex_options(format="dot2tex",
edge_labels=True)
# Basic check to make sure we end with the empty configuration
#tot_len = sum([len(rp) for rp in self.cur_partitions])
#if tot_len != 0:
# print "Invalid bijection end for:"
# print self.rigged_con
# print "-----------------------"
# print self.cur_partitions
# raise ValueError("Invalid bijection end")
return self.KRT(pathlist=ret_crystal_path)
def to_tensor_product_of_Kirillov_Reshetikhin_tableaux(
self, display_steps=False, **options):
r"""
Perform the bijection from this rigged configuration to a tensor
product of Kirillov-Reshetikhin tableaux given in [RigConBijection]_
for single boxes and with [BijectionLRT]_ and [BijectionDn]_ for
multiple columns and rows.
INPUT:
- ``display_steps`` -- (default: ``False``) Boolean which indicates
if we want to output each step in the algorithm
OUTPUT:
- The tensor product of KR tableaux element corresponding to this
rigged configuration.
EXAMPLES::
sage: RC = RiggedConfigurations(['A', 4, 1], [[2, 2]])
sage: RC(partition_list=[[2], [2,2], [2], [2]]).to_tensor_product_of_Kirillov_Reshetikhin_tableaux()
[[3, 3], [5, 5]]
sage: RC = RiggedConfigurations(['D', 4, 1], [[2, 2]])
sage: elt = RC(partition_list=[[2], [2,2], [1], [1]])
sage: tp_krt = elt.to_tensor_product_of_Kirillov_Reshetikhin_tableaux(); tp_krt
[[2, 3], [3, -2]]
This is invertible by calling
:meth:`~sage.combinat.rigged_configurations.tensor_product_kr_tableaux_element.TensorProductOfKirillovReshetikhinTableauxElement.to_rigged_configuration()`::
sage: ret = tp_krt.to_rigged_configuration(); ret
<BLANKLINE>
0[ ][ ]0
<BLANKLINE>
-2[ ][ ]-2
-2[ ][ ]-2
<BLANKLINE>
0[ ]0
<BLANKLINE>
0[ ]0
<BLANKLINE>
sage: elt == ret
True
"""
#Letters = CrystalOfLetters(self.parent()._cartan_type.classical())
Letters = CrystalOfLetters(self.parent()._cartan_type)
n = self.parent()._cartan_type.n
type = self.parent()._cartan_type.letter
# Pass in a copy of our partitions since the bijection is destructive to it.
bijection = RCToKRTBijection(self)
# This is technically bad, but because the first thing we do is append
# an empty list to ret_crystal_path, we correct this. We do it this
# way so that we do not have to remove an empty list after the
# bijection has been performed.
ret_crystal_path = []
for dim in self.parent().dims:
ret_crystal_path.append([])
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if bijection.cur_dims[0][1] > 1:
bijection.cur_dims[0][1] -= 1
bijection.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(n):
bijection._update_vacancy_numbers(a)
# Check to see if we are a spinor
if type == 'D' and dim[0] >= n - 1:
if display_steps:
print "===================="
print repr(self.parent()(*bijection.cur_partitions))
print "--------------------"
print ret_crystal_path
print "--------------------\n"
print "Applied doubling map"
bijection.doubling_map()
if dim[0] == n - 1:
if display_steps:
print "===================="
print repr(
self.parent()(*bijection.cur_partitions))
print "--------------------"
print ret_crystal_path
print "--------------------\n"
b = bijection.next_state(n)
if b == n:
b = -n
ret_crystal_path[-1].append(
Letters(b)) # Append the rank
while bijection.cur_dims[0][0] > 0:
if display_steps:
print "===================="
print repr(self.parent()(*bijection.cur_partitions))
print "--------------------"
print ret_crystal_path
print "--------------------\n"
bijection.cur_dims[0][
0] -= 1 # This takes care of the indexing
b = bijection.next_state(bijection.cur_dims[0][0])
# Corrections for spinor
if type == 'D' and dim[0] == n and b == -n \
and bijection.cur_dims[0][0] == n - 1:
b = -(n - 1)
# Make sure we have a crystal letter
ret_crystal_path[-1].append(Letters(b)) # Append the rank
bijection.cur_dims.pop(0) # Pop off the leading column
# Check to see if we were a spinor
if type == 'D' and dim[0] >= n - 1:
if display_steps:
print "===================="
print repr(self.parent()(*bijection.cur_partitions))
print "--------------------"
print ret_crystal_path
print "--------------------\n"
print "Applied halving map"
bijection.halving_map()
# If you're curious about this, see the note in AbstractTensorProductOfKRTableaux._highest_weight_iter().
# You should never call this option.
if "KRT_init_hack" in options:
return options["KRT_init_hack"](pathlist=ret_crystal_path)
#return self.parent()._bijection_class(self.parent()._cartan_type,
return self.parent()._bijection_class(
self.parent()._affine_ct,
self.parent().dims)(pathlist=ret_crystal_path)
def run(self, verbose=False):
"""
Run the bijection from rigged configurations to tensor product of KR
tableaux.
INPUT:
- ``verbose`` -- (Default: ``False``) Display each step in the
bijection
EXAMPLES::
sage: RC = RiggedConfigurations(['A', 4, 1], [[2, 1]])
sage: from sage.combinat.rigged_configurations.bij_type_A import RCToKRTBijectionTypeA
sage: RCToKRTBijectionTypeA(RC(partition_list=[[1],[1],[1],[1]])).run()
[[2], [5]]
"""
from sage.combinat.crystals.letters import CrystalOfLetters
letters = CrystalOfLetters(
self.rigged_con.parent()._cartan_type.classical())
# This is technically bad, but because the first thing we do is append
# an empty list to ret_crystal_path, we correct this. We do it this
# way so that we do not have to remove an empty list after the
# bijection has been performed.
ret_crystal_path = []
for dim in self.rigged_con.parent().dims:
ret_crystal_path.append([])
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if self.cur_dims[0][1] > 1:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying column split")
self.cur_dims[0][1] -= 1
self.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(self.n):
self._update_vacancy_numbers(a)
while self.cur_dims[0][0] > 0:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
self.cur_dims[0][0] -= 1 # This takes care of the indexing
b = self.next_state(self.cur_dims[0][0])
# Make sure we have a crystal letter
ret_crystal_path[-1].append(letters(b)) # Append the rank
self.cur_dims.pop(0) # Pop off the leading column
# Basic check to make sure we end with the empty configuration
#tot_len = sum([len(rp) for rp in self.cur_partitions])
#if tot_len != 0:
# print "Invalid bijection end for:"
# print self.rigged_con
# print "-----------------------"
# print self.cur_partitions
# raise ValueError("Invalid bijection end")
return self.KRT(pathlist=ret_crystal_path)
def run(self, verbose=False):
"""
Run the bijection from rigged configurations to tensor product of KR
tableaux for type `D_{n+1}^{(2)}`.
INPUT:
- ``verbose`` -- (Default: ``False``) Display each step in the
bijection
EXAMPLES::
sage: RC = RiggedConfigurations(['D', 4, 2], [[3, 1]])
sage: from sage.combinat.rigged_configurations.bij_type_D_twisted import RCToKRTBijectionTypeDTwisted
sage: RCToKRTBijectionTypeDTwisted(RC(partition_list=[[],[1],[1]])).run()
[[1], [3], [-2]]
"""
from sage.combinat.crystals.letters import CrystalOfLetters
letters = CrystalOfLetters(self.rigged_con.parent()._cartan_type.classical())
# This is technically bad, but because the first thing we do is append
# an empty list to ret_crystal_path, we correct this. We do it this
# way so that we do not have to remove an empty list after the
# bijection has been performed.
ret_crystal_path = []
for dim in self.rigged_con.parent().dims:
ret_crystal_path.append([])
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if self.cur_dims[0][1] > 1:
self.cur_dims[0][1] -= 1
self.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(self.n):
self._update_vacancy_numbers(a)
# Check to see if we are a spinor
if dim[0] == self.n:
if verbose:
print("====================")
print(repr(self.rigged_con.parent()(*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying doubling map")
self.doubling_map()
while self.cur_dims[0][0] > 0:
if verbose:
print("====================")
print(repr(self.rigged_con.parent()(*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
self.cur_dims[0][0] -= 1 # This takes care of the indexing
b = self.next_state(self.cur_dims[0][0])
# Make sure we have a crystal letter
ret_crystal_path[-1].append(letters(b)) # Append the rank
self.cur_dims.pop(0) # Pop off the leading column
# Check to see if we were a spinor
if dim[0] == self.n:
if verbose:
print("====================")
print(repr(self.rigged_con.parent()(*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying halving map")
self.halving_map()
return self.KRT(pathlist=ret_crystal_path)
class AbstractTensorProductOfKRTableaux(FullTensorProductOfCrystals):
r"""
Abstract class for all of tensor product of KR tableaux of a given Cartan type.
See :class:`TensorProductOfKirillovReshetikhinTableaux`. This class should
never be created directly.
"""
def __init__(self, cartan_type, B, biject_class):
r"""
Construct a tensor product of KR tableaux.
INPUT:
- ``cartan_type`` -- The crystal type and n value
- ``B`` -- An (ordered) list of dimensions
- ``biject_class`` -- The class the bijection creates
The dimensions (i.e. `B`) is a list whose entries are lists of the
form `[r, s]` which correspond to a tableau with `r` rows and `s`
columns (or of shape `[r]*s`) and corresponds to a
Kirillov-Reshetikhin crystal `B^{r,s}`.
TESTS::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,2]]); HW # indirect doctest
Highest weight tensor product of Kirillov-Reshetikhin tableaux of type ['A', 3, 1] and tableau shape(s) [[1, 1, 1], [2, 2]]
"""
assert cartan_type.is_affine()
self.affine_ct = cartan_type
self.dims = B
self.letters = CrystalOfLetters(cartan_type)
self._bijection_class = biject_class
tensorProd = []
for rectDims in B:
tensorProd.append(
KirillovReshetikhinTableaux(self.letters.cartan_type(),
rectDims[0], rectDims[1]))
FullTensorProductOfCrystals.__init__(self, tuple(tensorProd))
def _highest_weight_iter(self):
r"""
Iterate through all of the highest weight tensor product of Kirillov-Reshetikhin tableaux.
EXAMPLES::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,1]])
sage: list(HW) # indirect doctest
[[[1], [2], [3]] (X) [[1], [2]], [[1], [3], [4]] (X) [[1], [2]]]
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['D', 4, 1], [[2,1]])
sage: for x in HW: x # indirect doctest
...
[[1], [2]]
[[1], [-1]]
"""
# This is a hack solution since during construction, the bijection will
# (attempt to) create a new KRT object which hasn't been fully created
# and stored in the UniqueRepresentation's cache. So this will be
# called again, causing the cycle to repeat. This hack just passes
# our self as an optional argument to hide it from the end-user and
# so we don't try to create a new KRT object.
from sage.combinat.rigged_configurations.rigged_configurations import HighestWeightRiggedConfigurations
for x in HighestWeightRiggedConfigurations(self.affine_ct, self.dims):
yield x.to_tensor_product_of_Kirillov_Reshetikhin_tableaux(
KRT_init_hack=self)
def _element_constructor_(self, *path, **options):
r"""
Construct a TensorProductOfKRTableauxElement.
Typically the user will call this with the option **pathlist** which
will receive a list and coerce it into a path.
EXAMPLES::
sage: KRT = TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,1]])
sage: KRT(pathlist=[[4, 2, 1], [2, 1]]) # indirect doctest
[[1], [2], [4]] (X) [[1], [2]]
"""
from sage.combinat.crystals.kirillov_reshetikhin import KirillovReshetikhinGenericCrystalElement
if isinstance(path[0], KirillovReshetikhinGenericCrystalElement):
return self.element_class(
self, *[x.to_Kirillov_Reshetikhin_tableau() for x in path])
from sage.combinat.crystals.tensor_product import TensorProductOfCrystalsElement
if isinstance(path[0], TensorProductOfCrystalsElement) and \
isinstance(path[0][0], KirillovReshetikhinGenericCrystalElement):
return self.element_class(
self, *[x.to_Kirillov_Reshetikhin_tableau() for x in path[0]])
from sage.combinat.rigged_configurations.rigged_configuration_element import RiggedConfigurationElement
if isinstance(path[0], RiggedConfigurationElement):
if self.rigged_configurations() != path[0].parent():
raise ValueError("Incorrect bijection image.")
return path[0].to_tensor_product_of_Kirillov_Reshetikhin_tableaux()
return self.element_class(self, *path, **options)
def _convert_to_letters(self, index, tableauList):
"""
Convert the entries of the list to a list of letters.
This is a helper function to convert the list of ints to letters since
we do not convert an int to an Integer at compile time.
TESTS::
sage: KRT = TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[1,3]])
sage: L = KRT._convert_to_letters(0, [3, 2, 2]); L
[3, 2, 2]
sage: type(L[0])
<class 'sage.combinat.crystals.letters.ClassicalCrystalOfLetters_with_category.element_class'>
sage: L[0].value
3
"""
return ([self.letters(x) for x in tableauList])
def rigged_configurations(self):
"""
Return the corresponding set of rigged configurations.
EXAMPLES::
sage: KRT = TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[1,3], [2,1]])
sage: KRT.rigged_configurations()
Rigged configurations of type ['A', 3, 1] and factors ((1, 3), (2, 1))
"""
return self._bijection_class(self.affine_ct, self.dims)
def list(self):
r"""
Create a list of the elements by using the iterator.
TESTS::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,1]])
sage: HW.list()
[[[1], [2], [3]] (X) [[1], [2]], [[1], [3], [4]] (X) [[1], [2]]]
"""
# This is needed to overwrite the list method from the FiniteCrystals
# category which generates the list via f_a applications.
return [x for x in self]
def run(self, verbose=False, build_graph=False):
"""
Run the bijection from rigged configurations to tensor product of KR
tableaux for type `D_n^{(1)}`.
INPUT:
- ``verbose`` -- (default: ``False``) display each step in the
bijection
- ``build_graph`` -- (default: ``False``) build the graph of each
step of the bijection
EXAMPLES::
sage: RC = RiggedConfigurations(['D', 4, 1], [[2, 1]])
sage: x = RC(partition_list=[[1],[1],[1],[1]])
sage: from sage.combinat.rigged_configurations.bij_type_D import RCToKRTBijectionTypeD
sage: RCToKRTBijectionTypeD(x).run()
[[2], [-3]]
sage: bij = RCToKRTBijectionTypeD(x)
sage: bij.run(build_graph=True)
[[2], [-3]]
sage: bij._graph
Digraph on 3 vertices
"""
from sage.combinat.crystals.letters import CrystalOfLetters
letters = CrystalOfLetters(
self.rigged_con.parent()._cartan_type.classical())
# This is technically bad, but because the first thing we do is append
# an empty list to ret_crystal_path, we correct this. We do it this
# way so that we do not have to remove an empty list after the
# bijection has been performed.
ret_crystal_path = []
for dim in self.rigged_con.parent().dims:
ret_crystal_path.append([])
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if self.cur_dims[0][1] > 1:
self.cur_dims[0][1] -= 1
self.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(self.n):
self._update_vacancy_numbers(a)
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append(
[self._graph[-1][1], (y, len(self._graph)), 'ls'])
# Check to see if we are a spinor
if dim[0] >= self.n - 1:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions,
use_vacancy_numbers=True)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying doubling map")
self.doubling_map()
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append(
[self._graph[-1][1], (y, len(self._graph)), '2x'])
if dim[0] == self.n - 1:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions,
use_vacancy_numbers=True)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
b = self.next_state(self.n)
if b == self.n:
b = -self.n
ret_crystal_path[-1].append(
letters(b)) # Append the rank
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append([
self._graph[-1][1], (y, len(self._graph)),
letters(b)
])
while self.cur_dims[0][0] > 0:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions,
use_vacancy_numbers=True)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
self.cur_dims[0][0] -= 1 # This takes care of the indexing
b = self.next_state(self.cur_dims[0][0])
# Corrections for spinor
if dim[0] == self.n and b == -self.n \
and self.cur_dims[0][0] == self.n - 1:
b = -(self.n - 1)
# Make sure we have a crystal letter
ret_crystal_path[-1].append(letters(b)) # Append the rank
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append([
self._graph[-1][1], (y, len(self._graph)),
letters(b)
])
self.cur_dims.pop(0) # Pop off the leading column
# Check to see if we were a spinor
if dim[0] >= self.n - 1:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions,
use_vacancy_numbers=True)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying halving map")
self.halving_map()
if build_graph:
y = self.rigged_con.parent()(
*[x._clone() for x in self.cur_partitions],
use_vacancy_numbers=True)
self._graph.append([
self._graph[-1][1], (y, len(self._graph)), '1/2x'
])
if build_graph:
self._graph.pop(0) # Remove the dummy at the start
from sage.graphs.digraph import DiGraph
from sage.graphs.dot2tex_utils import have_dot2tex
self._graph = DiGraph(self._graph, format="list_of_edges")
if have_dot2tex():
self._graph.set_latex_options(format="dot2tex",
edge_labels=True)
return self.KRT(pathlist=ret_crystal_path)
class AbstractTensorProductOfKRTableaux(FullTensorProductOfCrystals):
r"""
Abstract class for all of tensor product of KR tableaux of a given Cartan type.
See :class:`TensorProductOfKirillovReshetikhinTableaux`. This class should
never be created directly.
"""
def __init__(self, cartan_type, B, biject_class):
r"""
Construct a tensor product of KR tableaux.
INPUT:
- ``cartan_type`` -- The crystal type and n value
- ``B`` -- An (ordered) list of dimensions
- ``biject_class`` -- The class the bijection creates
The dimensions (i.e. `B`) is a list whose entries are lists of the
form `[r, s]` which correspond to a tableau with `r` rows and `s`
columns (or of shape `[r]*s`) and corresponds to a
Kirillov-Reshetikhin crystal `B^{r,s}`.
TESTS::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,2]]); HW # indirect doctest
Highest weight tensor product of Kirillov-Reshetikhin tableaux of type ['A', 3, 1] and tableau shape(s) [[1, 1, 1], [2, 2]]
"""
assert cartan_type.is_affine()
self.affine_ct = cartan_type
self.dims = B
self.letters = CrystalOfLetters(cartan_type)
self._bijection_class = biject_class
tensorProd = []
for rectDims in B:
tensorProd.append(KirillovReshetikhinTableaux(
self.letters.cartan_type(),
rectDims[0], rectDims[1]))
FullTensorProductOfCrystals.__init__(self, tuple(tensorProd))
def _highest_weight_iter(self):
r"""
Iterate through all of the highest weight tensor product of Kirillov-Reshetikhin tableaux.
EXAMPLES::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,1]])
sage: list(HW) # indirect doctest
[[[1], [2], [3]] (X) [[1], [2]], [[1], [3], [4]] (X) [[1], [2]]]
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['D', 4, 1], [[2,1]])
sage: for x in HW: x # indirect doctest
...
[[1], [2]]
[[1], [-1]]
"""
# This is a hack solution since during construction, the bijection will
# (attempt to) create a new KRT object which hasn't been fully created
# and stored in the UniqueRepresentation's cache. So this will be
# called again, causing the cycle to repeat. This hack just passes
# our self as an optional argument to hide it from the end-user and
# so we don't try to create a new KRT object.
from sage.combinat.rigged_configurations.rigged_configurations import HighestWeightRiggedConfigurations
for x in HighestWeightRiggedConfigurations(self.affine_ct, self.dims):
yield x.to_tensor_product_of_Kirillov_Reshetikhin_tableaux(KRT_init_hack=self)
def _element_constructor_(self, *path, **options):
r"""
Construct a TensorProductOfKRTableauxElement.
Typically the user will call this with the option **pathlist** which
will receive a list and coerce it into a path.
EXAMPLES::
sage: KRT = TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,1]])
sage: KRT(pathlist=[[4, 2, 1], [2, 1]]) # indirect doctest
[[1], [2], [4]] (X) [[1], [2]]
"""
from sage.combinat.crystals.kirillov_reshetikhin import KirillovReshetikhinGenericCrystalElement
if isinstance(path[0], KirillovReshetikhinGenericCrystalElement):
return self.element_class(self, *[x.to_Kirillov_Reshetikhin_tableau() for x in path])
from sage.combinat.crystals.tensor_product import TensorProductOfCrystalsElement
if isinstance(path[0], TensorProductOfCrystalsElement) and \
isinstance(path[0][0], KirillovReshetikhinGenericCrystalElement):
return self.element_class(self, *[x.to_Kirillov_Reshetikhin_tableau() for x in path[0]])
from sage.combinat.rigged_configurations.rigged_configuration_element import RiggedConfigurationElement
if isinstance(path[0], RiggedConfigurationElement):
if self.rigged_configurations() != path[0].parent():
raise ValueError("Incorrect bijection image.")
return path[0].to_tensor_product_of_Kirillov_Reshetikhin_tableaux()
return self.element_class(self, *path, **options)
def _convert_to_letters(self, index, tableauList):
"""
Convert the entries of the list to a list of letters.
This is a helper function to convert the list of ints to letters since
we do not convert an int to an Integer at compile time.
TESTS::
sage: KRT = TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[1,3]])
sage: L = KRT._convert_to_letters(0, [3, 2, 2]); L
[3, 2, 2]
sage: type(L[0])
<class 'sage.combinat.crystals.letters.ClassicalCrystalOfLetters_with_category.element_class'>
sage: L[0].value
3
"""
return([self.letters(x) for x in tableauList])
def rigged_configurations(self):
"""
Return the corresponding set of rigged configurations.
EXAMPLES::
sage: KRT = TensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[1,3], [2,1]])
sage: KRT.rigged_configurations()
Rigged configurations of type ['A', 3, 1] and factors ((1, 3), (2, 1))
"""
return self._bijection_class(self.affine_ct, self.dims)
def list(self):
r"""
Create a list of the elements by using the iterator.
TESTS::
sage: HW = HighestWeightTensorProductOfKirillovReshetikhinTableaux(['A',3,1], [[3,1], [2,1]])
sage: HW.list()
[[[1], [2], [3]] (X) [[1], [2]], [[1], [3], [4]] (X) [[1], [2]]]
"""
# This is needed to overwrite the list method from the FiniteCrystals
# category which generates the list via f_a applications.
return [x for x in self]
def run(self, verbose=False):
"""
Run the bijection from rigged configurations to tensor product of KR
tableaux for type `B_n^{(1)}`.
INPUT:
- ``verbose`` -- (Default: ``False``) Display each step in the
bijection
EXAMPLES::
sage: RC = RiggedConfigurations(['B', 3, 1], [[2, 1]])
sage: from sage.combinat.rigged_configurations.bij_type_B import RCToKRTBijectionTypeB
sage: RCToKRTBijectionTypeB(RC(partition_list=[[1],[1,1],[1]])).run()
[[3], [0]]
sage: RC = RiggedConfigurations(['B', 3, 1], [[3, 1]])
sage: from sage.combinat.rigged_configurations.bij_type_B import RCToKRTBijectionTypeB
sage: RCToKRTBijectionTypeB(RC(partition_list=[[],[1],[1]])).run()
[[1], [3], [-2]]
"""
from sage.combinat.crystals.letters import CrystalOfLetters
letters = CrystalOfLetters(
self.rigged_con.parent()._cartan_type.classical())
# This is technically bad, but because the first thing we do is append
# an empty list to ret_crystal_path, we correct this. We do it this
# way so that we do not have to remove an empty list after the
# bijection has been performed.
ret_crystal_path = []
for dim in self.rigged_con.parent().dims:
ret_crystal_path.append([])
# Check to see if we are a spinor
if dim[0] == self.n:
# Perform the spinor bijection by converting to type A_{2n-1}^{(2)}
# doing the bijection there and pulling back
from sage.combinat.rigged_configurations.bij_type_A2_odd import RCToKRTBijectionTypeA2Odd
from sage.combinat.rigged_configurations.rigged_configurations import RiggedConfigurations
from sage.combinat.rigged_configurations.rigged_partition import RiggedPartition, RiggedPartitionTypeB
# Convert to a type A_{2n-1}^{(2)} RC
RC = RiggedConfigurations(['A', 2 * self.n - 1, 2],
self.cur_dims)
if verbose:
print("====================")
print(repr(RC(*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying doubling map\n")
# Convert the n-th partition into a regular rigged partition
self.cur_partitions[-1] = RiggedPartition(
self.cur_partitions[-1]._list,
self.cur_partitions[-1].rigging,
self.cur_partitions[-1].vacancy_numbers)
bij = RCToKRTBijectionTypeA2Odd(RC(*self.cur_partitions))
for i in range(len(self.cur_dims)):
if bij.cur_dims[i][0] != self.n:
bij.cur_dims[i][1] *= 2
for i in range(self.n - 1):
for j in range(len(bij.cur_partitions[i])):
bij.cur_partitions[i]._list[j] *= 2
bij.cur_partitions[i].rigging[j] *= 2
bij.cur_partitions[i].vacancy_numbers[j] *= 2
# Perform the type A_{2n-1}^{(2)} bijection
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if bij.cur_dims[0][1] > 1:
bij.cur_dims[0][1] -= 1
bij.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(self.n):
bij._update_vacancy_numbers(a)
while bij.cur_dims[0][0] > 0:
if verbose:
print("====================")
print(repr(RC(*bij.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
bij.cur_dims[0][
0] -= 1 # This takes care of the indexing
b = bij.next_state(bij.cur_dims[0][0])
# Make sure we have a crystal letter
ret_crystal_path[-1].append(
letters(b)) # Append the rank
bij.cur_dims.pop(0) # Pop off the leading column
self.cur_dims.pop(0) # Pop off the spin rectangle
self.cur_partitions = bij.cur_partitions
# Convert the n-th partition back into the special type B one
self.cur_partitions[-1] = RiggedPartitionTypeB(
self.cur_partitions[-1])
# Convert back to a type B_n^{(1)}
if verbose:
print("====================")
print(repr(self.rigged_con.parent()(*bij.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying halving map\n")
for i in range(self.n - 1):
for j in range(len(self.cur_partitions[i])):
self.cur_partitions[i]._list[j] //= 2
self.cur_partitions[i].rigging[j] //= 2
self.cur_partitions[i].vacancy_numbers[j] //= 2
else:
# Perform the regular type B_n^{(1)} bijection
# Iterate over each column
for dummy_var in range(dim[1]):
# Split off a new column if necessary
if self.cur_dims[0][1] > 1:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
print("Applying column split")
self.cur_dims[0][1] -= 1
self.cur_dims.insert(0, [dim[0], 1])
# Perform the corresponding splitting map on rigged configurations
# All it does is update the vacancy numbers on the RC side
for a in range(self.n):
self._update_vacancy_numbers(a)
while self.cur_dims[0][0] > 0:
if verbose:
print("====================")
print(
repr(self.rigged_con.parent()(
*self.cur_partitions)))
print("--------------------")
print(ret_crystal_path)
print("--------------------\n")
self.cur_dims[0][
0] -= 1 # This takes care of the indexing
b = self.next_state(self.cur_dims[0][0])
# Make sure we have a crystal letter
ret_crystal_path[-1].append(
letters(b)) # Append the rank
self.cur_dims.pop(0) # Pop off the leading column
return self.KRT(pathlist=ret_crystal_path)
