quaternion covers and polyforms

This commit is contained in:
jgarnek 2024-01-22 09:24:12 +00:00
parent c952ad5001
commit 100e711512
10 changed files with 1167 additions and 12 deletions

109
as_covers/as_polyforms.sage Normal file
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@ -0,0 +1,109 @@
class as_polyform:
def __init__(self, form, mult):
self.form = form
self.curve = form.curve
self.mult = mult
def __add__(self, other):
return as_polyform(self.form + other.form, self.mult)
def __repr__(self):
return str(self.form) + ' dx⊗' + str(self.mult)
def expansion_at_infty(self):
return self.form.expansion_at_infty()*(self.curve.dx.expansion_at_infty())^(self.mult)
def coordinates(self, basis = 0):
"""Find coordinates of the given holomorphic form self in terms of the basis forms in a list holo."""
AS = self.curve
if basis == 0:
basis = AS.holomorphic_differentials_basis()
RxyzQ, Rxyz, x, y, z = AS.fct_field
# We need to have only polynomials to use monomial_coefficients in linear_representation_polynomials,
# and sometimes basis elements have denominators. Thus we multiply by them.
denom = LCM([denominator(omega.form.function) for omega in basis])
basis = [denom*omega.form.function for omega in basis]
self_with_no_denominator = denom*self.form.function
return linear_representation_polynomials(Rxyz(self_with_no_denominator), [Rxyz(omega) for omega in basis])
def as_holo_polydifferentials_basis(AS, mult, threshold = 8):
v = AS.dx.valuation()
result = AS.at_most_poles(mult*v, threshold=threshold)
return [as_polyform(omega, mult) for omega in result]
as_cover.holo_polydifferentials_basis = as_holo_polydifferentials_basis
def as_canonical_ideal(AS, threshold=8):
B0 = AS.holomorphic_differentials_basis(threshold=threshold)
F = AS.base_ring
g = AS.genus()
B1 = [(B0[i], B0[j]) for i in range(g) for j in range(g) if i <= j]
B2 = AS.holo_polydifferentials_basis(2, threshold = threshold)
g = AS.genus()
r = len(B2)
M = matrix(F, g^2, r)
for i in range(0, len(B1)):
(a, b) = B1[i]
c = as_function(AS, a.form*b.form)
c = as_reduction(AS, c)
c = as_function(AS, c)
c = as_polyform(c, 2)
#return M, c.coordinates(basis=B2)
M[i, :] = vector(c.coordinates(basis=B2))
K = M.kernel().basis()
result = []
for v in K:
coeffs = {b : 0 for b in B1}
for i in range(r):
if v[i] != 0:
coeffs[B1[i]] += v[i]
result += [as_tensor_product_forms(B1, coeffs)]
return result
as_cover.canonical_ideal = as_canonical_ideal
class as_tensor_product_forms:
def __init__(self, pairs_of_forms, coeffs):
self.pairs = pairs_of_forms
self.coeffs = coeffs #dictionary
self.curve = pairs_of_forms[0][0].curve
def coordinates(self, basis = 0):
AS = self.curve
g = AS.genus()
F = AS.base_ring
if basis == 0:
basis = AS.holomorphic_differentials_basis()
result = matrix(F, g, g)
for (omega1, omega2) in self.pairs:
c = omega1.coordinates(basis = basis)
d = omega2.coordinates(basis = basis)
for i in range(g):
for j in range(g):
result[i, j] += self.coeffs[(omega1, omega2)]*c[i]*d[j]
return result
def __repr__(self):
result = ''
for (omega1, omega2) in self.pairs:
if self.coeffs[(omega1, omega2)] !=0:
result += str(self.coeffs[(omega1, omega2)]) + ' * ' + str(omega1) + '' + str(omega2) + ' + '
return result
def polynomial(self):
AS = self.curve
F = AS.base_ring
g = AS.genus()
M = self.coordinates()
Rg = PolynomialRing(F, 'X', g)
X = Rg.gens()
return sum(M[i, j] * X[i]*X[j] for i in range(g) for j in range(g))
def group_action(self, elt):
p = self.base_ring.characteristic()
n = self.height
elt1 = [p^n - a for a in elt]
pairs_of_forms2 = [(a.group_action(elt), b.group_action(elt1)) for (a, b) in pairs_of_forms]
coeffs2 = {(a.group_action(elt), b.group_action(elt1)) : self.coeffs[(a, b)] for (a, b) in pairs_of_forms}
return as_tensor_product_forms(pairs_of_forms2, self.coeffs)

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@ -3,6 +3,7 @@ def as_reduction(AS, fct):
n = AS.height
F = AS.base_ring
RxyzQ, Rxyz, x, y, z = AS.fct_field
p = F.characteristic()
ff = AS.functions
ff = [RxyzQ(F.function) for F in ff]
fct = RxyzQ(fct)

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@ -2,6 +2,8 @@ def teichmuller(self, n):
AS = self.curve
return as_witt([self] + n*[0*AS.x])
as_function.teichmuller = teichmuller
def Vd(self, n, m = 1):
'''Return V^m([f] d[x]) in W_n Omega'''
AS = self.curve
@ -9,11 +11,45 @@ def Vd(self, n, m = 1):
return as_witt_form([self] + n*[0*AS.x], (n+1)*[0*AS.x])
return as_witt_form(m*[0*AS.x] + [self] + (n-m)*[0*AS.x], (n+1)*[0*AS.x])
as_function.Vd = Vd
def dV(self, n, m = 1):
'''Return dV^m([f] d[x]) in W_n Omega'''
AS = self.curve
return as_witt_form((n+1)*[0*AS.x], m*[0*AS.x] + [self] + (n-m)*[0*AS.x])
as_function.teichmuller = teichmuller
as_function.Vd = Vd
as_function.dV = dV
as_function.dV = dV
def witt_diffn(self, n):
RxyzQ, Rxyz, x, y, z = AS.fct_field
F = Rxyz.base_ring
Rx.<x> = PolynomialRing(F)
return 0
as_function.witt_diffn = witt_diffn
def auxilliary_multiplication(fct, i, form_fct, j, n):
'''Return V^i(fct)*V^j(form_fct dx) in W_n Omega'''
AS = fct.curve
p = AS.base_ring.characteristic()
if i == 0:
return as_witt_form(j*[0*AS.x] + [fct^(p^j) * form_fct] + (n-j)*[0*AS.x], (n+1)*[0*AS.x])
if j == 0:
return auxilliary_multiplication(fct, i-1, form_fct^p * AS.x^(p-1), j, n).verschiebung()
return p*auxilliary_multiplication(fct, i-1, form_fct, j-1, n).verschiebung()
def auxilliary_multiplication2(fct1, i, fct2, j, n):
'''Return V^i(fct1)*dV^j(fct2) in W_n Omega'''
AS = fct.curve
p = AS.base_ring.characteristic()
if i > 0 and j > 0:
return auxilliary_multiplication2(fct1, i, fct2, j, n).verschiebung()
if i == 0:
aux_Vs = j*[0*AS.x] * [fct2 * fct1^(p^j - 1) * fct1.diffn()/AS.dx] + (n - j)*[0*AS.x]
aux = as_witt_form(aux_Vs, (n+1)*[0*AS.x])
return as_witt_form((n+1)*[0*AS.x], j*[0*AS.x] + [fct1^(p^j) * fct2] + (n-j)*[0*AS.x]) - aux
if j == 0:
aux_Vs = j*[0*AS.x] * [fct1 * fct2^(p^j - 1) * fct2.diffn()/AS.dx] + (n - j)*[0*AS.x]
aux = as_witt_form(aux_Vs, (n+1)*[0*AS.x])
return aux

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@ -38,17 +38,23 @@ class as_witt:
result = [as_function(C, a) for a in result]
return as_witt(result)
def verschiebung(self):
def verschiebung(self, i = 1):
AS = self.curve
return as_witt([0*AS.x] + self.f)
return as_witt(i*[0*AS.x] + self.f[i:])
def R(self):
n = self.n
return as_witt(self.f[:n])
def frobenius(self):
def frobenius(self, i = 1):
n= self.n
p = self.curve.base_ring.characteristic()
result = self.f[:n]
result = [a^p for a in result]
return as_witt(result)
result = [a^(p^i) for a in result]
return as_witt(result)
def diffn(self):
n = self.n
AS = self.curve
f0 = self.f[0]
return f[0].witt_diffn(n) + as_witt_form((n+1)*[0*AS.x], [0*AS.x] + self.f[1:])

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@ -25,7 +25,7 @@ class as_witt_form:
return result
def __add__(self, other):
print(self, other)
#print(self, other)
n = self.n
AS = self.curve
########
@ -33,7 +33,7 @@ class as_witt_form:
while(i <= n and self.Vs[i].function == 0 and other.Vs[i].function == 0):
i+=1
if i<=n:
print('a')
#print('a')
if (i <= n and self.Vs[i].function != 0 and other.Vs[i].function != 0):
self1 = self.cutVs(i)
other1 = other.cutVs(i)
@ -42,7 +42,7 @@ class as_witt_form:
other_first = other.Vs[i].teichmuller(n)
aux = self_first + other_first
for j in range(0, n+1 - i):
print(i, j)
#print(i, j)
result += aux.f[j].Vd(n, i+j)
return result
if (i <= n and self.Vs[i].function != 0 and other.Vs[i].function == 0):
@ -62,7 +62,7 @@ class as_witt_form:
while(i <= n and self.dVs[i].function == 0 and other.dVs[i].function == 0):
i+=1
if i<=n:
print('b', i)
#print('b', i)
if (i <= n and self.dVs[i].function != 0 and other.dVs[i].function != 0):
self1 = self.cutdVs(i)
other1 = other.cutdVs(i)
@ -87,6 +87,25 @@ class as_witt_form:
return result
return (0*AS.x).Vd(n)
def __rmul__(self, other):
n = self.n
AS = self.curve
if parent(other) == ZZ or isinstance(other, int):
if other == 0:
return as_witt_form((n+1)*[0*AS.x], (n+1)*[0*AS.x])
if other < 0:
return -(-other)*self
return self + (other - 1)*self
if isinstance(other, as_witt):
result = as_witt_form((n+1)*[0*AS.x], (n+1)*[0*AS.x])
for i in range(0, n+1):
for j in range(0, n+1):
result += auxilliary_multiplication(other.f[i], i, self.Vs[j], j, n)
result += auxilliary_multiplication(other.f[i], i, self.dVs[j], j, n)
return result
def verschiebung(self, i = 1):
AS = self.curve
p = AS.base_ring.characteristic()

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@ -13,6 +13,7 @@ load('as_covers/dual_element.sage')
load('as_covers/ith_magical_component.sage')
load('as_covers/combination_components.sage')
load('as_covers/group_action_matrices.sage')
load('as_covers/as_polyforms.sage')
load('superelliptic_drw/second_patch.sage')
load('superelliptic_drw/decomposition_into_g0_g8.sage')
load('superelliptic_drw/superelliptic_witt.sage')
@ -30,6 +31,11 @@ load('as_drw/witt_polynomials.sage')
load('as_drw/as_witt.sage')
load('as_drw/as_witt_form.sage')
load('as_drw/as_compability.sage')
load('quaternion_covers/quaternion_covers.sage')
load('quaternion_covers/quaternion_function_class.sage')
load('quaternion_covers/quaternion_form_class.sage')
load('quaternion_covers/quaternion_polyforms.sage')
load('quaternion_covers/quaternion_reduction.sage')
##############
##############
def init(lista, tests = False, init=True):

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@ -0,0 +1,435 @@
class quaternion_cover:
def __init__(self, C, list_of_fcts, branch_points = [], prec = 10):
self.quotient = C
self.functions = list_of_fcts
self.height = len(list_of_fcts)
F = C.base_ring
self.base_ring = F
p = C.characteristic
self.characteristic = p
self.prec = prec
#group acting
n = self.height
from itertools import product
pr = [list(GF(p)) for _ in range(n)]
self.group = QuaternionGroup()
#########
f = C.polynomial
m = C.exponent
r = f.degree()
delta = GCD(m, r)
self.nb_of_pts_at_infty = delta
self.branch_points = list(range(delta)) + branch_points
Rxy.<x, y> = PolynomialRing(F, 2)
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
all_x_series = {}
all_y_series = {}
all_z_series = {}
all_dx_series = {}
all_jumps = {}
for pt in self.branch_points:
x_series = superelliptic_function(C, x).expansion(pt=pt, prec=prec)
y_series = superelliptic_function(C, y).expansion(pt=pt, prec=prec)
z_series = []
jumps = []
n = len(list_of_fcts)
list_of_power_series = [g.expansion(pt=pt, prec=prec) for g in list_of_fcts]
for j in range(n):
if j == 2:
list_of_power_series[j] += z_series[0]*list_of_power_series[0] + z_series[1]*(list_of_power_series[0] + list_of_power_series[1])
power_series = list_of_power_series[j]
jump, correction, t_old, z = artin_schreier_transform(power_series, prec = prec)
x_series = x_series(t = t_old)
y_series = y_series(t = t_old)
z_series = [zi(t = t_old) for zi in z_series]
z_series += [z]
jumps += [jump]
list_of_power_series = [g(t = t_old) for g in list_of_power_series]
all_jumps[pt] = jumps
all_x_series[pt] = x_series
all_y_series[pt] = y_series
all_z_series[pt] = z_series
all_dx_series[pt] = x_series.derivative()
self.jumps = all_jumps
self.x_series = all_x_series
self.y_series = all_y_series
self.z_series = all_z_series
self.dx_series = all_dx_series
##############
#Function field
variable_names = 'x, y'
for i in range(n):
variable_names += ', z' + str(i)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
self.fct_field = (RxyzQ, Rxyz, x, y, z)
self.x = quaternion_function(self, x)
self.y = quaternion_function(self, y)
self.z = [quaternion_function(self, z[j]) for j in range(n)]
self.dx = quaternion_form(self, 1)
self.one = quaternion_function(self, 1)
def __repr__(self):
n = self.height
p = self.characteristic
if n==1:
return "(Z/p)-cover of " + str(self.quotient)+" with the equation:\n z^" + str(p) + " - z = " + str(self.functions[0])
result = "Q8-cover of " + str(self.quotient)+" with the equations:\n"
for i in range(n):
if i !=2:
result += 'z' + str(i) + "^" + str(p) + " - z" + str(i) + " = " + str(self.functions[i]) + "\n"
else:
result += 'z2^2 - z2 = ' + str(self.functions[2]) + ' + ' + 'z0 * ' + str(self.functions[0]) + ' + z1 * (' + str(self.functions[0] + self.functions[1]) + ')'
return result
def genus(self):
jumps = self.jumps
gY = self.quotient.genus()
n = self.height
branch_pts = self.branch_points
p = self.characteristic
return p^n*gY + (p^n - 1)*(len(branch_pts) - 1) + sum(p^(n-j-1)*(jumps[pt][j]-1)*(p-1)/2 for j in range(n) for pt in branch_pts)
def exponent_of_different(self, place = 0):
jumps = self.jumps
n = self.height
delta = self.nb_of_pts_at_infty
p = self.characteristic
return sum(p^(n-j-1)*(jumps[place][j]+1)*(p-1) for j in range(n))
def exponent_of_different_prim(self, place = 0):
jumps = self.jumps
n = self.height
delta = self.nb_of_pts_at_infty
p = self.characteristic
return sum(p^(n-j-1)*(jumps[place][j])*(p-1) for j in range(n))
def holomorphic_differentials_basis(self, threshold = 8):
from itertools import product
x_series = self.x_series
y_series = self.y_series
z_series = self.z_series
dx_series = self.dx_series
delta = self.nb_of_pts_at_infty
p = self.characteristic
n = self.height
prec = self.prec
C = self.quotient
F = self.base_ring
m = C.exponent
r = C.polynomial.degree()
RxyzQ, Rxyz, x, y, z = self.fct_field
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
S = []
pr = [list(GF(p)) for _ in range(n)]
for i in range(0, threshold*r):
for j in range(0, m):
for k in product(*pr):
eta = quaternion_form(self, x^i * prod(z[i1]^(k[i1]) for i1 in range(n))/y^j)
eta_exp = eta.expansion(pt=self.branch_points[0])
S += [(eta, eta_exp)]
forms = holomorphic_combinations(S)
for pt in self.branch_points[1:]:
forms = [(omega, omega.expansion(pt=pt)) for omega in forms]
forms = holomorphic_combinations(forms)
if len(forms) < self.genus():
print("I haven't found all forms, only ", len(forms), " of ", self.genus())
return holomorphic_differentials_basis(self, threshold = threshold + 1)
if len(forms) > self.genus():
raise ValueError("Increase precision.")
return forms
def cartier_matrix(self, prec=50):
g = self.genus()
F = self.base_ring
M = matrix(F, g, g)
for i, omega in enumerate(self.holomorphic_differentials_basis()):
M[:, i] = vector(omega.cartier().coordinates())
return M
def at_most_poles(self, pole_order, threshold = 8):
""" Find fcts with pole order in infty's at most pole_order. Threshold gives a bound on powers of x in the function.
If you suspect that you haven't found all the functions, you may increase it."""
from itertools import product
x_series = self.x_series
y_series = self.y_series
z_series = self.z_series
delta = self.nb_of_pts_at_infty
p = self.characteristic
n = self.height
prec = self.prec
C = self.quotient
F = self.base_ring
m = C.exponent
r = C.polynomial.degree()
RxyzQ, Rxyz, x, y, z = self.fct_field
F = C.base_ring
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
S = []
RQxyz = FractionField(Rxyz)
pr = [list(GF(p)) for _ in range(n)]
for i in range(0, threshold*r):
for j in range(0, m):
for k in product(*pr):
eta = quaternion_function(self, x^i * prod(z[i1]^(k[i1]) for i1 in range(n))*y^j)
eta_exp = eta.expansion_at_infty()
S += [(eta, eta_exp)]
forms = holomorphic_combinations_fcts(S, pole_order)
for i in range(1, delta):
forms = [(omega, omega.expansion_at_infty(place = i)) for omega in forms]
forms = holomorphic_combinations_fcts(forms, pole_order)
return forms
def magical_element(self, threshold = 8):
list_of_elts = self.at_most_poles(self.exponent_of_different_prim(), threshold)
result = []
for a in list_of_elts:
if a.trace().function != 0:
result += [a]
return result
def pseudo_magical_element(self, threshold = 8):
list_of_elts = self.at_most_poles(self.exponent_of_different(), threshold)
result = []
for a in list_of_elts:
if a.trace().function != 0:
result += [a]
return result
def at_most_poles_forms(self, pole_order, threshold = 8):
"""Find forms with pole order in all the points at infty equat at most to pole_order. Threshold gives a bound on powers of x in the form.
If you suspect that you haven't found all the functions, you may increase it."""
from itertools import product
x_series = self.x_series
y_series = self.y_series
z_series = self.z_series
delta = self.nb_of_pts_at_infty
p = self.characteristic
n = self.height
prec = self.prec
C = self.quotient
F = self.base_ring
m = C.exponent
r = C.polynomial.degree()
RxyzQ, Rxyz, x, y, z = self.fct_field
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
S = []
RQxyz = FractionField(Rxyz)
pr = [list(GF(p)) for _ in range(n)]
for i in range(0, threshold*r):
for j in range(0, m):
for k in product(*pr):
eta = quaternion_form(self, x^i * prod(z[i1]^(k[i1]) for i1 in range(n))/y^j)
eta_exp = eta.expansion_at_infty()
S += [(eta, eta_exp)]
forms = holomorphic_combinations_forms(S, pole_order)
for pt in self.branch_points[1:]:
forms = [(omega, omega.expansion(pt=pt)) for omega in forms]
forms = holomorphic_combinations_forms(forms, pole_order)
return forms
def uniformizer(self, place = 0):
'''Return uniformizer of curve self at place-th place at infinity.'''
p = self.characteristic
n = self.height
F = self.base_ring
RxyzQ, Rxyz, x, y, z = self.fct_field
fx = quaternion_function(self, x)
z = [quaternion_function(self, zi) for zi in z]
# We create a list of functions. We add there all variables...
list_of_fcts = [fx]+z
vfx = fx.valuation(place)
vz = [zi.valuation(place) for zi in z]
# Then we subtract powers of variables with the same valuation (so that 1/t^(kp) cancels) and add to this list.
for j1 in range(n):
for j2 in range(n):
if j1>j2:
a = gcd(vz[j1] , vz[j2])
vz1 = vz[j1]/a
vz2 = vz[j2]/a
for b in F:
if (z[j1]^(vz2) - b*z[j2]^(vz1)).valuation(place) > (z[j2]^(vz1)).valuation(place):
list_of_fcts += [z[j1]^(vz2) - b*z[j2]^(vz1)]
for j1 in range(n):
a = gcd(vz[j1], vfx)
vzj = vz[j1] /a
vfx = vfx/a
for b in F:
if (fx^(vzj) - b*z[j1]^(vfx)).valuation(place) > (z[j1]^(vfx)).valuation(place):
list_of_fcts += [fx^(vzj) - b*z[j1]^(vfx)]
#Finally, we check if on the list there are two elements with the same valuation.
for f1 in list_of_fcts:
for f2 in list_of_fcts:
d, a, b = xgcd(f1.valuation(place), f2.valuation(place))
if d == 1:
return f1^a*f2^b
raise ValueError("My method of generating fcts with relatively prime valuation failed.")
def ith_ramification_gp(self, i, place = 0):
'''Find ith ramification group at place at infty of nb place.'''
G = self.group
t = self.uniformizer(place)
Gi = [G[0]]
for g in G:
if g != G[0]:
tg = t.group_action(g)
v = (tg - t).valuation(place)
if v >= i+1:
Gi += [g]
return Gi
def ramification_jumps(self, place = 0):
'''Return list of lower ramification jumps at at place at infty of nb place.'''
G = self.group
ramification_jps = []
i = 0
while len(G) > 1:
Gi = self.ith_ramification_gp(i+1, place)
if len(Gi) < len(G):
ramification_jps += [i]
G = Gi
i+=1
return ramification_jps
def a_number(self):
g = self.genus()
return g - self.cartier_matrix().rank()
def cohomology_of_structure_sheaf_basis(self, holo_basis = 0, threshold = 8):
if holo_basis == 0:
holo_basis = self.holomorphic_differentials_basis(threshold = threshold)
from itertools import product
x_series = self.x_series
y_series = self.y_series
z_series = self.z_series
delta = self.nb_of_pts_at_infty
p = self.characteristic
n = self.height
prec = self.prec
C = self.quotient
F = self.base_ring
m = C.exponent
r = C.polynomial.degree()
RxyzQ, Rxyz, x, y, z = self.fct_field
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
result_fcts = []
V = VectorSpace(F,self.genus())
S = V.subspace([])
RQxyz = FractionField(Rxyz)
pr = [list(GF(p)) for _ in range(n)]
i = 0
while len(result_fcts) < self.genus():
for j in range(0, m):
for k in product(*pr):
f = quaternion_function(self, prod(z[i1]^(k[i1]) for i1 in range(n))/x^i*y^j)
f_products = [omega.serre_duality_pairing(f) for omega in holo_basis]
if vector(f_products) not in S:
S = S+V.subspace([V(f_products)])
result_fcts += [f]
i += 1
return result_fcts
def lift_to_de_rham(self, fct, threshold = 30):
'''Given function fct, find form eta regular on affine part such that eta - d(fct) is regular in infty. (Works for one place at infty now)'''
from itertools import product
x_series = self.x_series
y_series = self.y_series
z_series = self.z_series
dx_series = self.dx_series
delta = self.nb_of_pts_at_infty
p = self.characteristic
n = self.height
prec = self.prec
C = self.quotient
F = self.base_ring
m = C.exponent
r = C.polynomial.degree()
RxyzQ, Rxyz, x, y, z = self.fct_field
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
S = [(fct.diffn(), fct.diffn().expansion_at_infty())]
pr = [list(GF(p)) for _ in range(n)]
holo = self.holomorphic_differentials_basis(threshold = threshold)
for i in range(0, threshold*r):
for j in range(0, m):
for k in product(*pr):
eta = quaternion_form(self, x^i*prod(z[i1]^(k[i1]) for i1 in range(n))/y^j)
eta_exp = eta.expansion_at_infty()
S += [(eta, eta_exp)]
forms = holomorphic_combinations(S)
if len(forms) <= self.genus():
raise ValueError("Increase threshold!")
for omega in forms:
for a in F:
if (a*omega + fct.diffn()).is_regular_on_U0():
return a*omega + fct.diffn()
raise ValueError("Unknown.")
def de_rham_basis(self, holo_basis = 0, cohomology_basis = 0, threshold = 30):
if holo_basis == 0:
holo_basis = self.holomorphic_differentials_basis(threshold = threshold)
if cohomology_basis == 0:
cohomology_basis = self.cohomology_of_structure_sheaf_basis(holo_basis = holo_basis, threshold = threshold)
result = []
for omega in holo_basis:
result += [quaternion_cech(self, omega, quaternion_function(self, 0))]
for f in cohomology_basis:
omega = self.lift_to_de_rham(f, threshold = threshold)
result += [quaternion_cech(self, omega, f)]
return result
def holomorphic_combinations(S):
"""Given a list S of pairs (form, corresponding Laurent series at some pt), find their combinations holomorphic at that pt."""
C_AS = S[0][0].curve
p = C_AS.characteristic
F = C_AS.base_ring
prec = C_AS.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
RtQ = FractionField(Rt)
minimal_valuation = min([g[1].valuation() for g in S])
if minimal_valuation >= 0:
return [s[0] for s in S]
list_of_lists = [] #to będzie lista złożona z list współczynników część nieholomorficznych rozwinięcia form z S
for eta, eta_exp in S:
a = -minimal_valuation + eta_exp.valuation()
list_coeffs = a*[0] + eta_exp.list() + (-minimal_valuation)*[0]
list_coeffs = list_coeffs[:-minimal_valuation]
list_of_lists += [list_coeffs]
M = matrix(F, list_of_lists)
V = M.kernel() #chcemy wyzerować części nieholomorficzne, biorąc kombinacje form z S
# Sprawdzamy, jakim formom odpowiadają elementy V.
forms = []
for vec in V.basis():
forma_holo = quaternion_form(C_AS, 0)
forma_holo_power_series = Rt(0)
for vec_wspolrzedna, elt_S in zip(vec, S):
eta = elt_S[0]
#eta_exp = elt_S[1]
forma_holo += vec_wspolrzedna*eta
#forma_holo_power_series += vec_wspolrzedna*eta_exp
forms += [forma_holo]
return forms

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class quaternion_form:
def __init__(self, C, g):
self.curve = C
n = C.height
F = C.base_ring
variable_names = 'x, y'
for i in range(n):
variable_names += ', z' + str(i)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
self.form = RxyzQ(g)
def __repr__(self):
return "(" + str(self.form)+") * dx"
def expansion_at_infty(self, place = 0):
C = self.curve
delta = C.nb_of_pts_at_infty
F = C.base_ring
x_series = C.x_series[place]
y_series = C.y_series[place]
z_series = C.z_series[place]
dx_series = C.dx_series[place]
n = C.height
variable_names = 'x, y'
for j in range(n):
variable_names += ', z' + str(j)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
prec = C.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
g = self.form
sub_list = {x : x_series, y : y_series} | {z[j] : z_series[j] for j in range(n)}
return g.substitute(sub_list)*dx_series
def expansion(self, pt = 0):
'''Same code as expansion_at_infty.'''
C = self.curve
F = C.base_ring
x_series = C.x_series[pt]
y_series = C.y_series[pt]
z_series = C.z_series[pt]
dx_series = C.dx_series[pt]
n = C.height
variable_names = 'x, y'
for j in range(n):
variable_names += ', z' + str(j)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
prec = C.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
g = self.form
sub_list = {x : x_series, y : y_series} | {z[j] : z_series[j] for j in range(n)}
return g.substitute(sub_list)*dx_series
def __add__(self, other):
C = self.curve
g1 = self.form
g2 = other.form
return quaternion_form(C, g1 + g2)
def __sub__(self, other):
C = self.curve
g1 = self.form
g2 = other.form
return quaternion_form(C, g1 - g2)
def __neg__(self):
C = self.curve
g = self.form
return quaternion_form(C, -g)
def __rmul__(self, constant):
C = self.curve
omega = self.form
return quaternion_form(C, constant*omega)
def group_action(self, ZN_tuple):
C = self.curve
n = C.height
RxyzQ, Rxyz, x, y, z = C.fct_field
sub_list = {x : x, y : y} | {z[j] : z[j]+ZN_tuple[j] for j in range(n)}
g = self.form
return quaternion_form(C, g.substitute(sub_list))
def coordinates(self, basis = 0):
"""Find coordinates of the given holomorphic form self in terms of the basis forms in a list holo."""
C = self.curve
if basis == 0:
basis = C.holomorphic_differentials_basis()
RxyzQ, Rxyz, x, y, z = C.fct_field
# We need to have only polynomials to use monomial_coefficients in linear_representation_polynomials,
# and sometimes basis elements have denominators. Thus we multiply by them.
denom = LCM([denominator(omega.form) for omega in basis])
basis = [denom*omega for omega in basis]
self_with_no_denominator = denom*self
return linear_representation_polynomials(Rxyz(self_with_no_denominator.form), [Rxyz(omega.form) for omega in basis])
def trace(self):
C = self.curve
C_super = C.quotient
n = C.height
F = C.base_ring
variable_names = 'x, y'
for j in range(n):
variable_names += ', z' + str(j)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
result = quaternion_form(C, 0)
G = C.group
for a in G:
result += self.group_action(a)
result = result.form
Rxy.<x, y> = PolynomialRing(F, 2)
Qxy = FractionField(Rxy)
result = quaternion_reduction(AS, result)
return superelliptic_form(C_super, Qxy(result))
def residue(self, place=0):
return self.expansion_at_infty(place = place).residue()
def valuation(self, place=0):
return self.expansion_at_infty(place = place).valuation()
def serre_duality_pairing(self, fct):
AS = self.curve
return sum((fct*self).residue(place = _) for _ in range(AS.nb_of_pts_at_infty))
def cartier(self):
C = self.curve
F = C.base_ring
n = C.height
ff = C.functions
p = F.characteristic()
C_super = C.quotient
(RxyzQ, Rxyz, x, y, z) = C.fct_field
fct = self.form
Rxy.<x, y> = PolynomialRing(F, 2)
RxyQ = FractionField(Rxy)
x, y = Rxyz.gens()[0], Rxyz.gens()[1]
z = Rxyz.gens()[2:]
num = Rxyz(fct.numerator())
den = Rxyz(fct.denominator())
result = RxyzQ(0)
#return (num, den, z, fct)
if den in Rxy:
sub_list = {x : x, y : y} | {z[j] : (z[j]^p - RxyzQ(ff[j].function)) for j in range(n)}
num = RxyzQ(num.substitute(sub_list))
den1 = Rxyz(num.denominator())
num = Rxyz(num*den1^p)
for monomial in Rxyz(num).monomials():
degrees = [monomial.degree(z[i]) for i in range(n)]
product_of_z = prod(z[i]^(degrees[i]) for i in range(n))
monomial_divided_by_z = monomial/product_of_z
product_of_z_no_p = prod(z[i]^(degrees[i]/p) for i in range(n))
aux_form = superelliptic_form(C_super, RxyQ(monomial_divided_by_z/den))
aux_form = aux_form.cartier()
result += product_of_z_no_p * Rxyz(num).monomial_coefficient(monomial) * aux_form.form/den1
return quaternion_form(C, result)
raise ValueError("Please present first your form as sum z^i omega_i, where omega_i are forms on quotient curve.")
def is_regular_on_U0(self):
AS = self.curve
C = AS.quotient
m = C.exponent
RxyzQ, Rxyz, x, y, z = AS.fct_field
if y^(m-1)*self.form in Rxyz:
return True
return False
def artin_schreier_transform(power_series, prec = 10):
"""Given a power_series, find correction such that power_series - (correction)^p +correction has valuation
-jump non divisible by p. Also, express t (the variable) in terms of the uniformizer at infty on the curve
z^p - z = power_series, where z = 1/t_new^(jump) and express z in terms of the new uniformizer."""
correction = 0
F = power_series.parent().base()
p = F.characteristic()
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
RtQ = FractionField(Rt)
power_series = RtQ(power_series)
if power_series.valuation() == +Infinity:
raise ValueError("Precision is too low.")
if power_series.valuation() >= 0:
# THIS IS WRONG - THERE ARE SEVERAL PLACES OVER THIS PLACE, AND IT DEPENDS
aux = t^p - t
z = new_reverse(aux, prec = prec)
z = z(t = power_series)
return(0, 0, t, z)
while(power_series.valuation() % p == 0 and power_series.valuation() < 0):
M = -power_series.valuation()/p
coeff = power_series.list()[0] #wspolczynnik a_(-p) w f_AS
correction += coeff.nth_root(p)*t^(-M)
power_series = power_series - (coeff*t^(-p*M) - coeff.nth_root(p)*t^(-M))
jump = max(-(power_series.valuation()), 0)
try:
T = nth_root2((power_series)^(-1), jump, prec=prec) #T is defined by power_series = 1/T^m
except:
print("no ", str(jump), "-th root; divide by", power_series.list()[0])
return (jump, power_series.list()[0])
T_rev = new_reverse(T, prec = prec)
t_old = T_rev(t^p/nth_root2(1 - t^((p-1)*jump), jump, prec=prec))
z = 1/t^(jump) + Rt(correction)(t = t_old)
return(jump, correction, t_old, z)
def are_forms_linearly_dependent(set_of_forms):
from sage.rings.polynomial.toy_variety import is_linearly_dependent
C = set_of_forms[0].curve
F = C.base_ring
n = C.height
variable_names = 'x, y'
for i in range(n):
variable_names += ', z' + str(i)
Rxyz = PolynomialRing(F, n+2, variable_names)
denominators = prod(denominator(omega.form) for omega in set_of_forms)
return is_linearly_dependent([Rxyz(denominators*omega.form) for omega in set_of_forms])
def holomorphic_combinations_fcts(S, pole_order):
'''given a set S of (form, corresponding Laurent series at some pt), find their combinations holomorphic at that pt'''
C_AS = S[0][0].curve
p = C_AS.characteristic
F = C_AS.base_ring
prec = C_AS.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
RtQ = FractionField(Rt)
minimal_valuation = min([Rt(g[1]).valuation() for g in S])
if minimal_valuation >= -pole_order:
return [s[0] for s in S]
list_of_lists = [] #to będzie lista złożona z list współczynników część nieholomorficznych rozwinięcia form z S
for eta, eta_exp in S:
a = -minimal_valuation + Rt(eta_exp).valuation()
list_coeffs = a*[0] + Rt(eta_exp).list() + (-minimal_valuation)*[0]
list_coeffs = list_coeffs[:-minimal_valuation - pole_order]
list_of_lists += [list_coeffs]
M = matrix(F, list_of_lists)
V = M.kernel() #chcemy wyzerować części nieholomorficzne, biorąc kombinacje form z S
# Sprawdzamy, jakim formom odpowiadają elementy V.
forms = []
for vec in V.basis():
forma_holo = quaternion_function(C_AS, 0)
forma_holo_power_series = Rt(0)
for vec_wspolrzedna, elt_S in zip(vec, S):
eta = elt_S[0]
#eta_exp = elt_S[1]
forma_holo += vec_wspolrzedna*eta
#forma_holo_power_series += vec_wspolrzedna*eta_exp
forms += [forma_holo]
return forms
#given a set S of (form, corresponding Laurent series at some pt), find their combinations holomorphic at that pt
def holomorphic_combinations_forms(S, pole_order):
C_AS = S[0][0].curve
p = C_AS.characteristic
F = C_AS.base_ring
prec = C_AS.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
RtQ = FractionField(Rt)
minimal_valuation = min([Rt(g[1]).valuation() for g in S])
if minimal_valuation >= -pole_order:
return [s[0] for s in S]
list_of_lists = [] #to będzie lista złożona z list współczynników część nieholomorficznych rozwinięcia form z S
for eta, eta_exp in S:
a = -minimal_valuation + Rt(eta_exp).valuation()
list_coeffs = a*[0] + Rt(eta_exp).list() + (-minimal_valuation)*[0]
list_coeffs = list_coeffs[:-minimal_valuation - pole_order]
list_of_lists += [list_coeffs]
M = matrix(F, list_of_lists)
V = M.kernel() #chcemy wyzerować części nieholomorficzne, biorąc kombinacje form z S
# Sprawdzamy, jakim formom odpowiadają elementy V.
forms = []
for vec in V.basis():
forma_holo = quaternion_form(C_AS, 0)
forma_holo_power_series = Rt(0)
for vec_wspolrzedna, elt_S in zip(vec, S):
eta = elt_S[0]
#eta_exp = elt_S[1]
forma_holo += vec_wspolrzedna*eta
#forma_holo_power_series += vec_wspolrzedna*eta_exp
forms += [forma_holo]
return forms
#print only forms that are log at the branch pts, but not holomorphic
def only_log_forms(C_AS):
list1 = AS.at_most_poles_forms(0)
list2 = AS.at_most_poles_forms(1)
result = []
for a in list2:
if not(are_forms_linearly_dependent(list1 + result + [a])):
result += [a]
return result

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class quaternion_function:
def __init__(self, C, g):
self.curve = C
F = C.base_ring
n = C.height
variable_names = 'x, y'
for i in range(n):
variable_names += ', z' + str(i)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
self.function = RxyzQ(g)
#self.function = quaternion_reduction(AS, RxyzQ(g))
def __repr__(self):
return str(self.function)
def __eq__(self, other):
AS = self.curve
RxyzQ, Rxyz, x, y, z = AS.fct_field
aux = self - other
aux = RxyzQ(aux.function)
aux = aux.numerator()
aux = quaternion_function(AS, aux)
aux = aux.expansion_at_infty()
if aux.valuation() >= 1:
return True
return False
def __add__(self, other):
C = self.curve
g1 = self.function
g2 = other.function
return quaternion_function(C, g1 + g2)
def __sub__(self, other):
C = self.curve
g1 = self.function
g2 = other.function
return quaternion_function(C, g1 - g2)
def __rmul__(self, constant):
C = self.curve
g = self.function
return quaternion_function(C, constant*g)
def __neg__(self):
C = self.curve
g = self.function
return quaternion_function(C, -g)
def __mul__(self, other):
if isinstance(other, quaternion_function):
C = self.curve
g1 = self.function
g2 = other.function
return quaternion_function(C, g1*g2)
if isinstance(other, quaternion_form):
C = self.curve
g1 = self.function
g2 = other.form
return quaternion_form(C, g1*g2)
def __truediv__(self, other):
C = self.curve
g1 = self.function
g2 = other.function
return quaternion_function(C, g1/g2)
def __pow__(self, exponent):
C = self.curve
g1 = self.function
return quaternion_function(C, g1^(exponent))
def expansion_at_infty(self, place = 0):
C = self.curve
delta = C.nb_of_pts_at_infty
F = C.base_ring
x_series = C.x_series[place]
y_series = C.y_series[place]
z_series = C.z_series[place]
n = C.height
variable_names = 'x, y'
for j in range(n):
variable_names += ', z' + str(j)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
prec = C.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
g = self.function
g = RxyzQ(g)
sub_list = {x : x_series, y : y_series} | {z[j] : z_series[j] for j in range(n)}
return g.substitute(sub_list)
def expansion(self, pt = 0):
C = self.curve
delta = C.nb_of_pts_at_infty
F = C.base_ring
x_series = C.x_series[pt]
y_series = C.y_series[pt]
z_series = C.z_series[pt]
n = C.height
variable_names = 'x, y'
for j in range(n):
variable_names += ', z' + str(j)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
prec = C.prec
Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
g = self.function
g = RxyzQ(g)
sub_list = {x : x_series, y : y_series} | {z[j] : z_series[j] for j in range(n)}
return g.substitute(sub_list)
def group_action(self, elt):
Q8 = QuaternionGroup()
Qi, Qj = Q8.gens()
AS = self.curve
RxyzQ, Rxyz, x, y, z = AS.fct_field
if elt == Qi^4:
sub_list = {x : x, y : y} | {z[0] : z[0], z[1] : z[1], z[2]: z[2]}
if elt == Qi:
sub_list = {x : x, y : y} | {z[0] : z[0]+1, z[1] : z[1], z[2]: z[2] + z[0]}
if elt == Qj:
sub_list = {x : x, y : y} | {z[0] : z[0], z[1] : z[1] + 1, z[2]: z[2] + z[1] + z[0]}
if elt == Qi^2:
sub_list = {x : x, y : y} | {z[0] : z[0], z[1] : z[1], z[2]: z[2] + 1}
if elt == Qi * Qj:
sub_list = {x : x, y : y} | {z[0] : z[0] + 1, z[1] : z[1] + 1, z[2]: z[2] + z[1] + 1}
if elt == Qj * Qi:
sub_list = {x : x, y : y} | {z[0] : z[0] + 1, z[1] : z[1] + 1, z[2]: z[2] + z[1]}
if elt == Qi^3:
sub_list = {x : x, y : y} | {z[0] : z[0]+1, z[1] : z[1], z[2]: z[2] + z[0] + 1}
if elt == Qj^3:
sub_list = {x : x, y : y} | {z[0] : z[0], z[1] : z[1] + 1, z[2]: z[2] + z[1] + z[0] + 1}
g = self.function
return quaternion_function(AS, g.substitute(sub_list))
def trace(self):
C = self.curve
C_super = C.quotient
n = C.height
F = C.base_ring
variable_names = 'x, y'
for j in range(n):
variable_names += ', z' + str(j)
Rxyz = PolynomialRing(F, n+2, variable_names)
x, y = Rxyz.gens()[:2]
z = Rxyz.gens()[2:]
RxyzQ = FractionField(Rxyz)
result = quaternion_function(C, 0)
G = C.group
for a in G:
result += self.group_action(a)
result = result.function
Rxy.<x, y> = PolynomialRing(F, 2)
Qxy = FractionField(Rxy)
result = quaternion_reduction(AS, result)
return superelliptic_function(C_super, Qxy(result))
def coordinates(self, prec = 100, basis = 0):
"Return coordinates in H^1(X, OX)."
AS = self.curve
if basis == 0:
basis = [AS.holomorphic_differentials_basis(), AS.cohomology_of_structure_sheaf_basis()]
holo_diffs = basis[0]
coh_basis = basis[1]
f_products = []
for f in coh_basis:
f_products += [[omega.serre_duality_pairing(f) for omega in holo_diffs]]
product_of_fct_and_omegas = []
product_of_fct_and_omegas = [omega.serre_duality_pairing(self) for omega in holo_diffs]
V = (F^(AS.genus())).span_of_basis([vector(a) for a in f_products])
coh_coordinates = V.coordinates(product_of_fct_and_omegas)
return coh_coordinates
def diffn(self):
C = self.curve
C_super = C.quotient
n = C.height
RxyzQ, Rxyz, x, y, z = C.fct_field
fcts = C.functions
f = self.function
y_super = superelliptic_function(C_super, y)
dy_super = y_super.diffn().form
dz = []
for i in range(n):
dfct = fcts[i].diffn().form
dz += [-dfct]
result = f.derivative(x)
result += f.derivative(y)*dy_super
for i in range(n):
result += f.derivative(z[i])*dz[i]
return quaternion_form(C, result)
def valuation(self, place = 0):
'''Return valuation at i-th place at infinity.'''
C = self.curve
F = C.base_ring
Rt.<t> = LaurentSeriesRing(F)
return Rt(self.expansion_at_infty(place = place)).valuation()

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def quaternion_reduction(AS, fct):
'''Simplify rational function fct as a function in the function field of AS, so that z[i] appear in powers <p and only in numerator'''
n = AS.height
F = AS.base_ring
RxyzQ, Rxyz, x, y, z = AS.fct_field
p = F.characteristic()
ff = AS.functions
ff = [RxyzQ(F.function) for F in ff]
fct = RxyzQ(fct)
fct1 = numerator(fct)
fct2 = denominator(fct)
denom = quaternion_function(AS, fct2)
denom_norm = prod(quaternion_function(AS, fct2).group_action(g) for g in AS.group if list(g) != n*[0])
fct1 = Rxyz(fct1*denom_norm.function)
fct2 = Rxyz(fct2*denom_norm.function)
if fct2 != 1:
return quaternion_reduction(AS, fct1)/quaternion_reduction(AS, fct2)
result = RxyzQ(0)
change = 0
for a in fct1.monomials():
degrees_zi = [a.degree(z[i]) for i in range(n)]
d_div = [a.degree(z[i])//p for i in range(n)]
if d_div != n*[0]:
change = 1
d_rem = [a.degree(z[i])%p for i in range(n)]
monomial = fct1.monomial_coefficient(a)*x^(a.degree(x))*y^(a.degree(y))*prod(z[i]^(d_rem[i]) for i in range(n))*prod((z[i] + ff[i])^(d_div[i]) for i in range(n))
result += RxyzQ(monomial)
if change == 0:
return RxyzQ(result)
else:
return quaternion_reduction(AS, RxyzQ(result))