riemann roch spaces
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@ -135,6 +135,18 @@ class as_cover:
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dd += [jumps[place][i-1]*(p-1) + p*dd[i-1]]
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return dd[n]
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def exponent_of_different_bis(self, place = 0):
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jumps = self.jumps
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n = self.height
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p = self.characteristic
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dd = [0]
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for i in range(1, n+1):
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if jumps[place][i-1] == 0:
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dd += [dd[i-1]]
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else:
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dd += [(jumps[place][i-1]-1)*(p-1) + p*dd[i-1]]
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return dd[n]
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def holomorphic_differentials_basis(self, threshold = 8):
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from itertools import product
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x_series = self.x_series
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@ -544,4 +556,82 @@ class as_cover:
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def group_action_matrices_log_holo(AS):
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n = AS.height
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F = AS.base_ring
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return as_group_action_matrices(F, AS.at_most_poles_forms(1), AS.group.gens, basis = AS.at_most_poles_forms(1))
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return as_group_action_matrices(F, AS.at_most_poles_forms(1), AS.group.gens, basis = AS.at_most_poles_forms(1))
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def riemann_roch_space(self, pole_orders, threshold = 8):
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""" Find fcts with pole order in infty's at most pole_order from the given dictionary. The keys of the dictionary are pairs (place_at_infty, group element). The items are the poles orders at those places.
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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."""
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from itertools import product
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x_series = self.x_series
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y_series = self.y_series
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z_series = self.z_series
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delta = self.nb_of_pts_at_infty
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p = self.characteristic
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n = self.height
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prec = self.prec
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C = self.quotient
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F = self.base_ring
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m = C.exponent
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r = C.polynomial.degree()
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RxyzQ, Rxyz, x, y, z = self.fct_field
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F = C.base_ring
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Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
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#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
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S = []
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RQxyz = FractionField(Rxyz)
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pr = [list(GF(p)) for _ in range(n)]
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for i in range(0, threshold*r):
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for j in range(0, m):
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for k in product(*pr):
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eta = as_function(self, x^i * prod(z[i1]^(k[i1]) for i1 in range(n))*y^j)
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eta_exp = eta.expansion_at_infty()
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S += [(eta, eta_exp)]
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forms = holomorphic_combinations_fcts(S, pole_orders[(0, self.group.one)])
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print('iteration')
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for i in range(delta):
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for g in self.fiber(place = i):
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if i!=0 or g != self.group.one:
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print('iteration')
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forms = [(omega, omega.group_action(g).expansion_at_infty(place = i)) for omega in forms]
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forms = holomorphic_combinations_fcts(forms, pole_orders[(i, g)])
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return forms
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def riemann_roch_space_forms(self, pole_orders, threshold = 8):
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""" Find fcts with pole order in infty's at most pole_order from the given dictionary. The keys of the dictionary are pairs (place_at_infty, group element). The items are the poles orders at those places.
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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."""
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from itertools import product
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x_series = self.x_series
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y_series = self.y_series
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z_series = self.z_series
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delta = self.nb_of_pts_at_infty
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p = self.characteristic
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n = self.height
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prec = self.prec
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C = self.quotient
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F = self.base_ring
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m = C.exponent
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r = C.polynomial.degree()
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RxyzQ, Rxyz, x, y, z = self.fct_field
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F = C.base_ring
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Rt.<t> = LaurentSeriesRing(F, default_prec=prec)
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#Tworzymy zbiór S form z^i x^j y^k dx/y o waluacji >= waluacja z^(p-1)*dx/y
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S = []
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RQxyz = FractionField(Rxyz)
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pr = [list(GF(p)) for _ in range(n)]
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for i in range(0, threshold*r):
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for j in range(0, m):
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for k in product(*pr):
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eta = heisenberg_form(self, x^i * prod(z[i1]^(k[i1]) for i1 in range(n))/y^j)
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eta_exp = eta.expansion_at_infty()
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S += [(eta, eta_exp)]
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forms = holomorphic_combinations_forms(S, pole_orders[(0, (0, 0, 0))])
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print('iteration')
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for i in range(delta):
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for g in self.fiber(place = i):
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if i!=0 or g != self.group.one:
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print('iteration')
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forms = [(omega, omega.group_action(g).expansion_at_infty(place = i)) for omega in forms]
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forms = holomorphic_combinations_forms(forms, pole_orders[(i, g)])
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return forms
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@ -1,6 +1,6 @@
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def ith_magical_component(omega, zvee, g):
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def ith_magical_component(omega, zvee, g, super=True):
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'''Given a form omega on AS cover, element g of group AS.group and normal basis element zmag, find the decomposition
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sum_g g(zmag) omega_g and return omega_g.'''
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z_vee_g = zvee.group_action(g)
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new_form = z_vee_g*omega
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return new_form.trace()
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return new_form.trace(super=super)
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