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Disjoint direct product decomposition of a permutation group #38371

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5 changes: 5 additions & 0 deletions src/doc/en/reference/references/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -1658,6 +1658,11 @@ REFERENCES:
.. [CIA] CIA Factbook 09
https://www.cia.gov/library/publications/the-world-factbook/

.. [CJ2022] \M. Chang, C. Jefferson, *Disjoint direct product decomposition
of permutation groups*, Journal of Symbolic Computation (2022),
Volume 108, pages 1-16. :doi:`10.1016/j.jsc.2021.04.003`.
Preprint: :arxiv:`2004.11618v3`.

.. [CK1986] \R. Calderbank, W.M. Kantor,
*The geometry of two-weight codes*,
Bull. London Math. Soc. 18(1986) 97-122.
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90 changes: 90 additions & 0 deletions src/sage/groups/perm_gps/permgroup.py
Original file line number Diff line number Diff line change
Expand Up @@ -1581,6 +1581,96 @@ def smallest_moved_point(self):
p = self._libgap_().SmallestMovedPoint()
return self._domain_from_gap[Integer(p)]

@cached_method
def disjoint_direct_product_decomposition(self):
r"""
Return the finest partition of the underlying set such that ``self``
is isomorphic to the direct product of the projections of ``self``
onto each part of the partition. Each part is a union of orbits
of ``self``.

The algorithm is from [CJ2022]_, which runs in time polynomial in
`n \cdot |X|`, where `n` is the degree of the group and `|X|` is
the size of a generating set, see Theorem 4.5.

EXAMPLES:

The example from the original paper::

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sage: H = PermutationGroup([[(1,2,3),(7,9,8),(10,12,11)],[(4,5,6),(7,8,9),(10,11,12)],[(5,6),(8,9),(11,12)],[(7,8,9),(10,11,12)]])
sage: S = H.disjoint_direct_product_decomposition(); S
{{1, 2, 3}, {4, 5, 6, 7, 8, 9, 10, 11, 12}}
sage: A = libgap.Stabilizer(H, list(S[0]), libgap.OnTuples); A
Group([ (7,8,9)(10,11,12), (5,6)(8,9)(11,12), (4,5,6)(7,8,9)(10,11,12) ])
sage: B = libgap.Stabilizer(H, list(S[1]), libgap.OnTuples); B
Group([ (1,2,3) ])
sage: T = PermutationGroup(gap_group=libgap.DirectProduct(A,B))
sage: T.is_isomorphic(H)
True
sage: PermutationGroup(PermutationGroup(gap_group=A).gens(),domain=list(S[1])).disjoint_direct_product_decomposition()
{{4, 5, 6, 7, 8, 9, 10, 11, 12}}
sage: PermutationGroup(PermutationGroup(gap_group=B).gens(),domain=list(S[0])).disjoint_direct_product_decomposition()
{{1, 2, 3}}

An example with a different domain::

sage: PermutationGroup([[('a','c','d'),('b','e')]]).disjoint_direct_product_decomposition()
{{'a', 'c', 'd'}, {'b', 'e'}}
sage: PermutationGroup([[('a','c','d','b','e')]]).disjoint_direct_product_decomposition()
{{'a', 'b', 'c', 'd', 'e'}}

Counting the number of "connected" permutation groups of degree `n`::

sage: seq = [sum(1 for G in SymmetricGroup(n).conjugacy_classes_subgroups() if len(G.disjoint_direct_product_decomposition()) == 1) for n in range(1,8)]; seq
[1, 1, 2, 6, 6, 27, 20]
sage: oeis(seq) # optional -- internet
0: A005226: Number of atomic species of degree n; also number of connected permutation groups of degree n.
"""
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from sage.combinat.set_partition import SetPartition
from sage.sets.disjoint_set import DisjointSet
H = self._libgap_()
# sort each orbit and order list by smallest element of each orbit
O = libgap.List([libgap.ShallowCopy(orbit) for orbit in libgap.Orbits(H)])
for orbit in O:
libgap.Sort(orbit)
O.Sort()
num_orbits = len(O)
OrbitMapping = dict()
for i in range(num_orbits):
for x in O[i]:
OrbitMapping[x] = i
C = libgap.StabChain(H, libgap.Concatenation(O))
X = libgap.StrongGeneratorsStabChain(C)
P = DisjointSet(num_orbits)
R = libgap.List([])
identity = libgap.Identity(H)
for i in range(num_orbits-1):
libgap.Append(R, O[i])
Xp = libgap.List([])
while True:
try:
if libgap.IsSubset(O[i], C['orbit']):
C = C['stabilizer']
else:
break
except ValueError:
break
for x in X:
xs = libgap.SiftedPermutation(C, x)
if xs != identity:
libgap.Add(Xp, xs)
if libgap.RestrictedPerm(xs, O[i+1]) != identity:
cj = OrbitMapping[libgap.SmallestMovedPoint(libgap.RestrictedPerm(x, R))]
P.union(i+1, cj)
else:
libgap.Add(Xp, x)
X = Xp
return SetPartition([
[self._domain_from_gap[Integer(x)]
for i in part
for x in O[i]] for part in P] +
[[x] for x in self.fixed_points()])

def representative_action(self, x, y):
r"""
Return an element of ``self`` that maps `x` to `y` if it exists.
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