def _test(n_max, v_max):
for n in range(n_max + 1):
for v in range(1, v_max + 1):
for lam1 in Partition.all(n):
for lam2 in Partition.all(n):
print()
print()
print('* v =', v, ', n =', n, ', mu =', lam1, ', nu =',
lam2)
print()
print('Computing LHS . . .')
print()
s = Polynomial()
for mu in Partition.all(n + max(sum(lam1), sum(lam2))):
a = SymmetricPolynomial.stable_grothendieck_doublebar(
v, mu, lam1).truncate(n).polynomial('x')
b = SymmetricPolynomial.dual_stable_grothendieck(
v, mu, lam2).truncate(n).polynomial('y')
s += (a * b).truncate(n)
print(' ', mu, ':', s, '|', a, '|', b)
print()
print('LHS =', s)
print()
print()
print('Computing RHS . . .')
print()
f = Polynomial.one()
x = Polynomial.x
y = Polynomial.y
for i in range(1, v + 1):
for j in range(1, v + 1):
a = x(i) * y(j)
term = Polynomial.one()
for e in range(1, n + 1):
term += a**e
f = (f * term).truncate(n)
print(' ', ' :', f)
print()
t = Polynomial()
for kappa in Partition.subpartitions(lam2):
a = SymmetricPolynomial.stable_grothendieck_doublebar(
v, lam2, kappa).truncate(n)
b = SymmetricPolynomial.dual_stable_grothendieck(
v, lam1, kappa).truncate(n)
t += (f * a.polynomial('x') *
b.polynomial('y')).truncate(n)
print(' ', kappa, ':', t)
print()
print('RHS =', t)
print()
print()
print('diff =', s - t)
print()
assert s == t
def test_gq_to_gp_expansion(): # noqa
for mu in Partition.all(15, strict=True):
print('mu =', mu)
print()
print(Partition.printable(mu, shifted=True))
print()
n = len(mu)
q = gq(n, mu)
expansion = SymmetricPolynomial.gp_expansion(q)
print(' mu =', mu, 'n =', n)
print(' expansion =', expansion)
assert all(len(nu) == len(mu) for nu in expansion)
assert all(Partition.contains(mu, nu) for nu in expansion)
# assert all(c % 2**(len(mu) - sum(nu) + sum(mu)) == 0 for nu, c in expansion.items())
expected = {}
for a in zero_one_tuples(len(mu)):
if not all(mu[i - 1] - a[i - 1] > mu[i] - a[i]
for i in range(1, len(a))):
continue
if not all(mu[i] - a[i] > 0 for i in range(len(a))):
continue
nu = Partition.trim(tuple(mu[i] - a[i] for i in range(len(a))))
coeff = 2**(len(nu) - sum(a)) * sgn(nu, mu) * BETA**sum(a)
assert coeff != 0
expected[nu] = coeff
print(' expected =', expected)
assert expansion == Vector(expected)
print()
print()
def test_refined_gq_to_gp_expansion(k=12): # noqa
for mu in Partition.all(k, strict=True):
print('mu =', mu)
print()
print(Partition.printable(mu, shifted=True))
print()
n = len(mu)
q = SymmetricPolynomial._slow_refined_dual_stable_grothendieck_q(n, mu)
expected = {}
for a in zero_one_tuples(len(mu)):
if not all(mu[i - 1] - a[i - 1] > mu[i] - a[i]
for i in range(1, len(a))):
continue
if not all(mu[i] - a[i] > 0 for i in range(len(a))):
continue
nu = Partition.trim(tuple(mu[i] - a[i] for i in range(len(a))))
coeff = 2**(len(nu) - sum(a)) * sgn(nu, mu) * BETA**sum(a)
assert coeff != 0
expected[nu] = coeff
print(' expected =', expected)
expected = sum([
coeff *
SymmetricPolynomial._slow_refined_dual_stable_grothendieck_p(
n, nu) for (nu, coeff) in expected.items()
])
print(' =', expected)
assert q == expected
print()
print()
def test_GQ_to_GP_expansion(): # noqa
for mu in Partition.all(25, strict=True):
print('mu =', mu)
print()
print(Partition.printable(mu, shifted=True))
print()
n = len(mu)
q = GQ(n, mu)
expansion = SymmetricPolynomial.GP_expansion(q)
normalized = Vector({
tuple(nu[i] - mu[i] for i in range(len(mu))): c * sgn(mu, nu) *
BETA**(sum(nu) - sum(mu)) / 2**(len(mu) - sum(nu) + sum(mu))
for nu, c in expansion.items()
})
unsigned = all(c > 0 for c in normalized.values())
print(' mu =', mu, 'n =', n)
print(' expansion =', expansion)
print(' normalized expansion =', normalized)
assert all(len(nu) == 0 or max(nu) <= 1 for nu in normalized)
assert all(len(nu) == len(mu) for nu in expansion)
assert all(Partition.contains(nu, mu) for nu in expansion)
assert all(c % 2**(len(mu) - sum(nu) + sum(mu)) == 0
for nu, c in expansion.items())
assert unsigned
expected = {
tuple(mu[i] + a[i] for i in range(len(a)))
for a in zero_one_tuples(len(mu)) if all(
mu[i - 1] + a[i - 1] > mu[i] + a[i] for i in range(1, len(a)))
}
print(' expected =', expected)
assert set(expansion) == expected
print()
print()
def test_complement():
nu = ()
assert Partition.complement(0, nu) == ()
assert Partition.complement(1, nu) == (1, )
assert Partition.complement(2, nu) == (2, 1)
nu = (6, 4, 2, 1)
assert Partition.complement(6, nu) == (5, 3)
def skew(w):
n = w.rank
f = tuple(i for i in range(1, n + 1) if w(i) > i)
r = len(f)
lam = tuple(w(f[-1]) - r - f[i] + i + 1 for i in range(r))
mu = tuple(w(f[-1]) - r - w(f[i]) + i + 1 for i in range(r))
print(Partition.printable(lam))
print()
print(Partition.printable(mu))
return lam, mu
def stable_grothendieck_doublebar(cls,
num_variables,
mu,
nu=(),
degree_bound=None): # noqa
ans = SymmetricPolynomial()
if Partition.contains(mu, nu):
for x in Partition.remove_inner_corners(nu):
ans += BETA**(sum(nu) - sum(x)) * cls._stable_grothendieck(
num_variables, mu, x, degree_bound)
return ans
def test_transpose():
mu = ()
assert Partition.transpose(mu) == mu
mu = (1, )
assert Partition.transpose(mu) == mu
mu = (2, )
assert Partition.transpose(mu) == (1, 1)
mu = (5, 3, 3, 2, 2, 1, 1, 1, 1)
assert Partition.transpose(mu) == (9, 5, 3, 1, 1)
def _test_shifted_p(n_max, v_max):
for n in range(n_max + 1):
for v in range(1, v_max + 1):
for lam1 in Partition.all(n, strict=True):
for lam2 in Partition.all(n, strict=True):
print()
print()
print('* v =', v, ', n =', n, ', mu =', lam1, ', nu =',
lam2)
print()
print('Computing LHS . . .')
print()
s = Polynomial()
for mu in Partition.all(n + max(sum(lam1), sum(lam2)),
strict=True):
a = SymmetricPolynomial.stable_grothendieck_p_doublebar(
v, mu, lam1).truncate(n).polynomial('x')
b = SymmetricPolynomial.dual_stable_grothendieck_q(
v, mu, lam2).truncate(n).polynomial('y')
s += (a * b).truncate(n)
print(' ', mu, ':', s, '|', a, '|', b)
print()
print('LHS =', s)
print()
print()
print('Computing RHS . . .')
print()
f = kernel(n, v)
print(' ', ' :', f)
print()
t = Polynomial()
for kappa in Partition.subpartitions(lam2, strict=True):
a = SymmetricPolynomial.stable_grothendieck_p_doublebar(
v, lam2, kappa).truncate(n)
b = SymmetricPolynomial.dual_stable_grothendieck_q(
v, lam1, kappa).truncate(n)
t += (f * a.polynomial('x') *
b.polynomial('y')).truncate(n)
print(' ', kappa, ':', t)
print()
print('RHS =', t)
print()
print()
print('diff =', s - t)
print()
assert s == t
def _slow_vectorize(cls, n, tableaux, signs=None, check=True):
dictionary = defaultdict(int)
for tab in tableaux:
dictionary[tab.weight(n)] += 1
if check:
assert all(dictionary[Partition.sort(alpha)] == dictionary[alpha]
for alpha in dictionary)
return SymmetricPolynomial({
SymmetricMonomial(n, alpha):
coeff * (signs if signs else 1)**sum(alpha)
for alpha, coeff in dictionary.items()
if Partition.is_partition(alpha)
})
def test_subpartitions():
assert set(Partition.subpartitions(())) == {()}
assert set(Partition.subpartitions([1])) == {(), (1, )}
assert set(Partition.subpartitions([1, 1])) == {(), (1, ), (1, 1)}
assert set(Partition.subpartitions([2, 1])) == {(), (1, ), (1, 1), (2, ),
(2, 1)}
assert len(list(Partition.subpartitions([2, 1]))) == 5
assert set(Partition.subpartitions((), True)) == {()}
assert set(Partition.subpartitions([1], True)) == {(), (1, )}
assert set(Partition.subpartitions([1, 1], True)) == {(), (1, )}
assert set(Partition.subpartitions([2, 1], True)) == {(), (1, ), (2, ),
(2, 1)}
assert len(list(Partition.subpartitions([2, 1], True))) == 4
def test_generate_partitions():
assert set(Partition.generate(0)) == {()}
assert set(Partition.generate(1)) == {(1, )}
assert set(Partition.generate(2)) == {(1, 1), (2, )}
assert set(Partition.generate(3)) == {(1, 1, 1), (2, 1), (3, )}
assert set(Partition.generate(4)) == {(1, 1, 1, 1), (2, 1, 1), (2, 2),
(3, 1), (4, )}
assert set(Partition.generate(4, max_row=0)) == set()
assert set(Partition.generate(4, max_row=1)) == {(4, )}
assert set(Partition.generate(4, max_row=2)) == {(2, 2), (3, 1), (4, )}
assert set(Partition.generate(4, max_row=3)) == {(2, 1, 1), (2, 2), (3, 1),
(4, )}
assert set(Partition.generate(4, max_row=4)) == {(1, 1, 1, 1), (2, 1, 1),
(2, 2), (3, 1), (4, )}
def _slow_transposed_dual_stable_grothendieck_q(cls,
num_variables,
mu,
nu=()):
p = 0
for tab in Tableau.semistandard_shifted_marked(num_variables, mu, nu):
m = 1
for i in range(1, num_variables + 1):
r = len({x for x, y, v in tab if v[0] == i})
c = len({y for x, y, v in tab if v[0] == -i})
a = len({(x, y) for x, y, v in tab if abs(v[0]) == i})
x = Polynomial.x(i)
m *= x**(r + c) * (x + 1)**(a - r - c)
p += m
dictionary = {}
for e in p:
tup = num_variables * [0]
for i in e:
tup[i - 1] = e[i]
dictionary[tuple(tup)] = p[e]
return SymmetricPolynomial({
SymmetricMonomial(num_variables, alpha): coeff *
(-BETA**-1)**(sum(alpha))
for alpha, coeff in dictionary.items()
if Partition.is_partition(alpha)
}) * (-BETA)**(sum(mu) - sum(nu))
def test_skew_GP_positivity(): # noqa
k = 10
for mu in Partition.all(k, strict=True):
for nu in Partition.all(k, strict=True):
if not Partition.contains(mu, nu):
continue
n = len(mu)
f = GP(n, mu, nu)
expansion = SymmetricPolynomial.GP_expansion(f)
normalized = Vector({
lam: c * BETA**(sum(lam) - sum(mu) + sum(nu))
for lam, c in expansion.items()
})
print('GP_{%s/%s}(x_%s) =' % (mu, nu, n), normalized)
print()
assert all(c > 0 for c in normalized.values())
def get_inv_grassmannian(cls, *mu):
assert Partition.is_strict_partition(mu)
ans = Permutation()
for i in range(len(mu)):
ans *= Permutation.transposition(1 + mu[0] - mu[i], i + 1 + mu[0])
w0 = Permutation.longest_element(len(mu) + (mu[0] if mu else 0))
ans = w0 * ans * w0
return ans
def test_staircase_grothendieck_GP_positivity(): # noqa
r = 6
for k in range(r):
delta = tuple(k - i for i in range(k))
for nu in Partition.all(sum(delta)):
if not Partition.contains(delta, nu):
continue
n = len(delta)
f = G(n, delta, nu)
expansion = SymmetricPolynomial.GP_expansion(f)
normalized = Vector({
lam: c * BETA**(sum(lam) - sum(delta) + sum(nu))
for lam, c in expansion.items()
})
print('G_{%s/%s}(x_%s) =' % (delta, nu, n), normalized)
print()
assert all(c > 0 for c in normalized.values())
def test_find_shifted_corners():
mu = (3, 2, 1)
assert Partition.find_shifted_inner_corner(mu, 0) == 3
assert Partition.find_shifted_inner_corner(mu, 1) is None
assert Partition.find_shifted_inner_corner(mu, 2) is None
assert Partition.find_shifted_outer_corner(mu, 0) is None
assert Partition.find_shifted_outer_corner(mu, 1) is None
assert Partition.find_shifted_outer_corner(mu, 2) is None
assert Partition.find_shifted_outer_corner(mu, 3) == 1
def get_fpf_grassmannian(cls, *mu):
assert Partition.is_strict_partition(mu)
ans = Permutation()
o = 1 if (mu and (len(mu) + 1 + mu[0]) % 2 != 0) else 0
for i in range(len(mu)):
ans *= Permutation.transposition(o + 1 + mu[0] - mu[i], o + i + 2 + mu[0])
while not ans.is_fpf_involution():
f = [i for i in range(1, ans.rank + 2) if ans(i) == i]
ans *= Permutation.transposition(f[0], f[1])
w0 = Permutation.longest_element(o + 1 + len(mu) + (mu[0] if mu else 0))
ans = w0 * ans * w0
return ans
def _expansion(n, function, expand, shifted=True, unsigned=True): # noqa
for mu in Partition.all(n, strict=shifted):
n = len(mu)
p = function(n, mu)
ansion = expand(p)
if unsigned:
expansion = {
nu: coeff * (-1)**abs(sum(mu) - sum(nu))
for nu, coeff in ansion.items()
}
else:
expansion = ansion
print('mu =', mu)
print()
print(Partition.printable(mu, shifted=shifted))
print()
print(' mu =', mu, 'n =', n)
print(' expansion =', ansion)
if unsigned:
print(' unsigned expansion =', expansion)
print()
assert all(v > 0 for v in expansion.values())
def test_contains():
mu = (1, )
nu = ()
assert Partition.contains(mu, mu)
assert Partition.contains(mu, nu)
assert not Partition.contains(nu, mu)
mu = (3, 2, 1)
nu = (3, 2)
assert Partition.contains(mu, mu)
assert Partition.contains(mu, nu)
assert not Partition.contains(nu, mu)
mu = (3, 2, 1)
nu = (1, 1, 1)
assert Partition.contains(mu, nu)
assert not Partition.contains(nu, mu)
mu = (1, 1, 1, 1)
nu = (1, 1, 1)
assert Partition.contains(mu, nu)
assert not Partition.contains(nu, mu)
def _multiply(cls, f, g):
assert type(f) == type(g) == SymmetricMonomial
assert f.order() == g.order()
mu = f.mu
nu = g.mu
n = min(f.order(), len(mu) + len(nu))
if (mu, nu, n) not in MONOMIAL_PRODUCT_CACHE:
ans = defaultdict(int)
for alpha in cls._destandardize(n, mu):
for blpha in cls._destandardize(n, nu):
gamma = tuple(alpha[i] + blpha[i] for i in range(n))
if Partition.is_partition(gamma):
while gamma and gamma[-1] == 0:
gamma = gamma[:-1]
ans[gamma] += 1
MONOMIAL_PRODUCT_CACHE[(mu, nu, n)] = ans
return MONOMIAL_PRODUCT_CACHE[(mu, nu, n)]
def test_covers():
mu = ()
assert set(Partition.remove_inner_corners(mu)) == {()}
assert set(Partition.remove_shifted_inner_corners(mu)) == {()}
mu = (1, )
assert set(Partition.remove_inner_corners(mu)) == {(1, ), ()}
assert set(Partition.remove_shifted_inner_corners(mu)) == {(1, ), ()}
mu = (3, 2, 1)
assert set(Partition.remove_inner_corners(mu)) == {(3, 2, 1), (2, 2, 1),
(3, 1, 1), (3, 2),
(2, 1, 1), (2, 2),
(3, 1), (2, 1)}
assert set(Partition.remove_shifted_inner_corners(mu)) == {(3, 2),
(3, 2, 1)}
def test_symmetric_functions():
nn = 6
for mu in Partition.all(nn):
for nu in Partition.all(nn, strict=True):
for n in range(nn):
print(n, mu, nu)
print()
f = SymmetricPolynomial.schur(n, mu, nu)
g = SymmetricPolynomial.stable_grothendieck(n, mu, nu)
h = SymmetricPolynomial.dual_stable_grothendieck(n, mu, nu)
fs = SymmetricPolynomial._slow_schur(n, mu, nu)
gs = SymmetricPolynomial._slow_stable_grothendieck(n, mu, nu)
hs = SymmetricPolynomial._slow_dual_stable_grothendieck(
n, mu, nu)
if f != fs:
print(f)
print(fs)
print()
if g != gs:
print(g)
print(gs)
print()
if h != hs:
print(h)
print(hs)
print()
print()
assert f == fs
assert g == gs
assert h == hs
hh = SymmetricPolynomial.schur_s(n, mu, nu)
kk = SymmetricPolynomial.stable_grothendieck_s(n, mu, nu)
if mu == nu:
assert f == 1
assert g == 1
assert h == 1
assert fs == 1
assert gs == 1
assert hs == 1
assert hh == 1
assert kk == 1
if not Partition.contains(mu, nu):
assert f == 0
assert g == 0
assert h == 0
assert fs == 0
assert gs == 0
assert hs == 0
assert hh == 0
assert kk == 0
print(f)
print(g)
print()
print(hh)
print(kk)
print()
assert g.lowest_degree_terms() == f
assert kk.lowest_degree_terms() == hh
def fpf_grassmannians(cls, rank):
assert rank % 2 == 0
delta = tuple(range(rank - 2, 0, -2))
for mu in Partition.subpartitions(delta, strict=True):
yield cls.get_fpf_grassmannian(*mu)
def inv_grassmannians(cls, rank):
delta = tuple(range(rank - 1, 0, -2))
for mu in Partition.subpartitions(delta, strict=True):
yield cls.get_inv_grassmannian(*mu)
def grassmannians(cls, rank):
delta = tuple(range(rank - 1, 0, -1))
for mu in Partition.subpartitions(delta):
yield cls.get_grassmannian(*mu)
def shape(self):
return Partition.sort(self.inverse().code(), trim=True)
def all(cls, n, rank, excess, is_multisetvalued, is_symplectic):
for mu in Partition.generate(n, strict=True):
cg = cls(mu, rank, excess, is_multisetvalued, is_symplectic)
if cg.edges:
cg.generate()
def fpf_involution_shape(self):
assert self.is_fpf_involution()
mu = Partition.sort(self.fpf_involution_code(), trim=True)
return Partition.transpose(mu)
def test_strict_symmetric_functions():
nn = 5
for mu in Partition.all(nn, strict=True):
for nu in Partition.all(nn, strict=True):
for n in range(nn):
print(n, mu, nu)
print()
# Schur-P and GP
f = SymmetricPolynomial.schur_p(n, mu, nu)
g = SymmetricPolynomial.stable_grothendieck_p(n, mu, nu)
h = SymmetricPolynomial.dual_stable_grothendieck_p(n, mu, nu)
fs = SymmetricPolynomial._slow_schur_p(n, mu, nu)
gs = SymmetricPolynomial._slow_stable_grothendieck_p(n, mu, nu)
hs = SymmetricPolynomial._slow_dual_stable_grothendieck_p(
n, mu, nu)
if f != fs:
print(f)
print(fs)
print()
if g != gs:
print(g)
print(gs)
print()
if h != hs:
print(h)
print(hs)
print()
print()
print()
assert f == fs
assert g == gs
assert h == hs
if mu == nu:
assert f == 1
assert g == 1
assert h == 1
assert fs == 1
assert gs == 1
assert hs == 1
if not Partition.contains(mu, nu):
assert f == 0
assert g == 0
assert h == 0
assert fs == 0
assert gs == 0
assert hs == 0
# Schur-Q and GQ
f = SymmetricPolynomial.schur_q(n, mu, nu)
g = SymmetricPolynomial.stable_grothendieck_q(n, mu, nu)
h = SymmetricPolynomial.dual_stable_grothendieck_q(n, mu, nu)
fs = SymmetricPolynomial._slow_schur_q(n, mu, nu)
gs = SymmetricPolynomial._slow_stable_grothendieck_q(n, mu, nu)
hs = SymmetricPolynomial._slow_dual_stable_grothendieck_q(
n, mu, nu)
if f != fs:
print(f)
print(fs)
print()
if g != gs:
print(g)
print(gs)
print()
if h != hs:
print(h)
print(hs)
print()
print()
print()
assert f == fs
assert g == gs
assert h == hs
if mu == nu:
assert f == 1
assert g == 1
assert h == 1
assert fs == 1
assert gs == 1
assert hs == 1
if not Partition.contains(mu, nu):
assert f == 0
assert g == 0
assert h == 0
assert fs == 0
assert gs == 0
assert hs == 0
