def tate_factor_Zp(cyc_factor):
"""
return the factorization of characteristic polynomial
of Frobenius on Tate classes in H^2 over Zp
"""
T = cyc_factor.variables()[0]
p = cyc_factor.leading_coefficient().prime_factors()[0]
R = Zp(p)
factorization = []
for fac, exp in cyc_factor(T / p).factor():
for fp, ep in fac.change_ring(R).factor():
factorization.append((fp(p * T).reverse().monic(), exp * ep))
res = Factorization(factorization)
assert res.expand().change_ring(R) == cyc_factor.change_ring(R).reverse(
).monic(), "%s\n%s" % (res.expand(),
cyc_factor.change_ring(R).reverse().monic())
return res
def polyquo_knowl(f, disc=None, unit=1, cutoff=None):
quo = "x^{%s}" % (len(f) - 1)
i = len(f) - 2
while i >= 0 and f[i] == 0:
i -= 1
if i >= 0: # nonzero terms
if f[i] > 0:
quo += r" + \cdots"
else:
quo += r" - \cdots"
short = r'\mathbb{Q}[x]/(%s)'%(quo)
long = r'Defining polynomial: %s' % (web_latex(coeff_to_poly(f)))
if cutoff:
long = make_bigint(long, cutoff, max_width=70).replace('"',"'")
if disc is not None:
if isinstance(disc, list):
long += '\n<br>\nDiscriminant: \\(%s\\)' % (factor_base_factorization_latex(disc))
else:
long += '\n<br>\nDiscriminant: \\(%s\\)' % (Factorization(disc, unit=unit)._latex_())
return r'<a title="[poly]" knowl="dynamic_show" kwargs="%s">\(%s\)</a>'%(long, short)
def rank_fieldextension(frob_polynomial, shift=0):
"""
Return rank, degree of field extension, and the factorization
of characteristic polynomial, into twisted cyclotomic factors,
of the Frobenius action on Tate classes factorized
Input::
- frob_polynomial, Frobenius polynomial for H^2
- shift, an integer, 0 by default, accounting for missing cycles,
for example when frob_polynomial doesn't include the polarization
"""
p = frob_polynomial.list()[-1].prime_factors()[0]
rank = shift
k = 1
cyc_factorization = []
for fac, exp in frob_polynomial.factor():
ki = fac(fac.variables()[0] / p).is_cyclotomic(certificate=True)
if ki:
k = lcm(k, ki)
cyc_factorization.append((fac, exp))
rank += fac.degree() * exp
return rank, k, Factorization(cyc_factorization)
def make_curve(self):
data = self.data = {}
lmfdb_label = self.lmfdb_label
# Some data fields of self are just those from the database.
# These only need some reformatting.
data['ainvs'] = self.ainvs
data['conductor'] = N = self.conductor
data['j_invariant'] = QQ(tuple(self.jinv))
data['j_inv_factor'] = latex(0)
if data['j_invariant']: # don't factor 0
data['j_inv_factor'] = latex(data['j_invariant'].factor())
data['j_inv_latex'] = web_latex(data['j_invariant'])
# retrieve local reduction data from table ec_localdata:
self.local_data = local_data = list(
db.ec_localdata.search({"lmfdb_label": lmfdb_label}))
for ld in local_data:
if ld['kodaira_symbol'] <= -14:
# Work around bug in Sage's latex
ld['kod'] = 'I_{%s}^{*}' % (-ld['kodaira_symbol'] - 4)
else:
ld['kod'] = latex(KodairaSymbol(ld['kodaira_symbol']))
Nfac = Factorization([(ZZ(ld['prime']), ld['conductor_valuation'])
for ld in local_data])
Dfac = Factorization([(ZZ(ld['prime']), ld['discriminant_valuation'])
for ld in local_data],
unit=ZZ(self.signD))
data['disc_factor'] = latex(Dfac)
data['disc'] = D = Dfac.value()
data['cond_factor'] = latex(Nfac)
data['disc_latex'] = web_latex(D)
data['cond_latex'] = web_latex(N)
# retrieve data about MW rank, generators, heights and
# torsion, leading term of L-function & other BSD data from
# table ec_mwbsd:
self.make_mwbsd()
# latex equation:
latexeqn = latex_equation(self.ainvs)
data['equation'] = raw_typeset(unlatex(latexeqn), latexeqn)
# minimal quadratic twist:
data['minq_D'] = minqD = self.min_quad_twist_disc
data['minq_label'] = db.ec_curvedata.lucky(
{'ainvs': self.min_quad_twist_ainvs},
projection='lmfdb_label'
if self.label_type == 'LMFDB' else 'Clabel')
data['minq_info'] = '(itself)' if minqD == 1 else '(by {})'.format(
minqD)
# modular degree:
try:
data['degree'] = ZZ(self.degree) # convert None to 0
except AttributeError: # if not computed, db has Null and the attribute is missing
data['degree'] = 0 # invalid, but will be displayed nicely
# coefficients of modular form / L-series:
classdata = db.ec_classdata.lookup(self.lmfdb_iso)
data['an'] = classdata['anlist']
data['ap'] = classdata['aplist']
# mod-p Galois images:
data['galois_data'] = list(
db.ec_galrep.search({'lmfdb_label': lmfdb_label}))
for gd in data[
'galois_data']: # remove the prime prefix from each image code
gd['image'] = trim_galois_image_code(gd['image'])
# CM and Endo ring:
data['CMD'] = self.cm
data['CM'] = "no"
data['EndE'] = r"\(\Z\)"
if self.cm:
data['cm_ramp'] = [
p for p in ZZ(self.cm).support() if not p in self.nonmax_primes
]
data['cm_nramp'] = len(data['cm_ramp'])
if data['cm_nramp'] == 1:
data['cm_ramp'] = data['cm_ramp'][0]
else:
data['cm_ramp'] = ", ".join(str(p) for p in data['cm_ramp'])
data['cm_sqf'] = ZZ(self.cm).squarefree_part()
data['CM'] = r"yes (\(D=%s\))" % data['CMD']
if data['CMD'] % 4 == 0:
d4 = ZZ(data['CMD']) // 4
data['EndE'] = r"\(\Z[\sqrt{%s}]\)" % d4
else:
data['EndE'] = r"\(\Z[(1+\sqrt{%s})/2]\)" % data['CMD']
data['ST'] = st_link_by_name(1, 2, 'N(U(1))')
else:
data['ST'] = st_link_by_name(1, 2, 'SU(2)')
# Isogeny degrees:
cond, iso, num = split_lmfdb_label(lmfdb_label)
self.class_deg = classdata['class_deg']
self.one_deg = ZZ(self.class_deg).is_prime()
isodegs = [str(d) for d in self.isogeny_degrees if d > 1]
if len(isodegs) < 3:
data['isogeny_degrees'] = " and ".join(isodegs)
else:
data['isogeny_degrees'] = " and ".join(
[", ".join(isodegs[:-1]), isodegs[-1]])
self.make_twoadic_data()
# Optimality
# The optimal curve in the class is the curve whose Cremona
# label ends in '1' except for '990h' which was labelled
# wrongly long ago. This is proved for N up to
# OPTIMALITY_BOUND (and when there is only one curve in an
# isogeny class, obviously) and expected for all N.
# Column 'optimality' is 1 for certainly optimal curves, 0 for
# certainly non-optimal curves, and is n>1 if the curve is one
# of n in the isogeny class which may be optimal given current
# knowledge.
# Column "manin_constant' is the correct Manin constant
# assuming that the optimal curve in the class is known, or
# otherwise if it is the curve with (Cremona) number 1.
# The code here allows us to update the display correctly by
# changing one line in this file (defining OPTIMALITY_BOUND)
# without changing the data.
data['optimality_bound'] = OPTIMALITY_BOUND
self.cremona_bound = CREMONA_BOUND
if N < CREMONA_BOUND:
data[
'manin_constant'] = self.manin_constant # (conditional on data['optimality_known'])
else:
data['manin_constant'] = 0 # (meaning not available)
if N < OPTIMALITY_BOUND:
data['optimality_code'] = int(
self.Cnumber == (3 if self.Ciso == '990h' else 1))
data['optimality_known'] = True
data['manin_known'] = True
if self.label_type == 'Cremona':
data[
'optimal_label'] = '990h3' if self.Ciso == '990h' else self.Ciso + '1'
else:
data[
'optimal_label'] = '990.i3' if self.lmfdb_iso == '990.i' else self.lmfdb_iso + '1'
elif N < CREMONA_BOUND:
data['optimality_code'] = self.optimality
data['optimality_known'] = (self.optimality < 2)
if self.optimality == 1:
data['manin_known'] = True
data[
'optimal_label'] = self.Clabel if self.label_type == 'Cremona' else self.lmfdb_label
else:
if self.Cnumber == 1:
data['manin_known'] = False
data[
'optimal_label'] = self.Clabel if self.label_type == 'Cremona' else self.lmfdb_label
else:
# find curve #1 in this class and its optimailty code:
opt_curve = db.ec_curvedata.lucky(
{
'Ciso': self.Ciso,
'Cnumber': 1
},
projection=['Clabel', 'lmfdb_label', 'optimality'])
data['manin_known'] = (opt_curve['optimality'] == 1)
data['optimal_label'] = opt_curve[
'Clabel' if self.label_type ==
'Cremona' else 'lmfdb_label']
else:
data['optimality_code'] = None
data['optimality_known'] = False
data['manin_known'] = False
data['optimal_label'] = ''
# p-adic data:
data['p_adic_primes'] = [
p for i, p in enumerate(prime_range(5, 100))
if (N * data['ap'][i]) % p != 0
]
data['p_adic_data_exists'] = False
if data['optimality_code'] == 1:
data['p_adic_data_exists'] = db.ec_padic.exists(
{'lmfdb_iso': self.lmfdb_iso})
# Iwasawa data (where present)
self.make_iwasawa()
# Torsion growth data (where present)
self.make_torsion_growth()
# Newform
rawnewform = str(PowerSeriesRing(QQ, 'q')(data['an'], 20, check=True))
data['newform'] = raw_typeset(
rawnewform,
web_latex(PowerSeriesRing(QQ, 'q')(data['an'], 20, check=True)))
data['newform_label'] = self.newform_label = ".".join(
[str(cond), str(2), 'a', iso])
self.newform_link = url_for("cmf.by_url_newform_label",
level=cond,
weight=2,
char_orbit_label='a',
hecke_orbit=iso)
self.newform_exists_in_db = db.mf_newforms.label_exists(
self.newform_label)
self._code = None
if self.label_type == 'Cremona':
self.class_url = url_for(".by_ec_label", label=self.Ciso)
self.class_name = self.Ciso
else:
self.class_url = url_for(".by_ec_label", label=self.lmfdb_iso)
self.class_name = self.lmfdb_iso
data['class_name'] = self.class_name
data['Cnumber'] = self.Cnumber if N < CREMONA_BOUND else None
self.friends = [('Isogeny class ' + self.class_name, self.class_url),
('Minimal quadratic twist %s %s' %
(data['minq_info'], data['minq_label']),
url_for(".by_ec_label", label=data['minq_label'])),
('All twists ',
url_for(".rational_elliptic_curves",
jinv=data['j_invariant']))]
lfun_url = url_for("l_functions.l_function_ec_page",
conductor_label=N,
isogeny_class_label=iso)
origin_url = lfun_url.lstrip('/L/').rstrip('/')
if db.lfunc_instances.exists({'url': origin_url}):
self.friends += [('L-function', lfun_url)]
else:
self.friends += [('L-function not available', "")]
if not self.cm:
if N <= 300:
self.friends += [('Symmetric square L-function',
url_for("l_functions.l_function_ec_sym_page",
power='2',
conductor=N,
isogeny=iso))]
if N <= 50:
self.friends += [('Symmetric cube L-function',
url_for("l_functions.l_function_ec_sym_page",
power='3',
conductor=N,
isogeny=iso))]
if self.newform_exists_in_db:
self.friends += [('Modular form ' + self.newform_label,
self.newform_link)]
self.downloads = [('q-expansion to text',
url_for(".download_EC_qexp",
label=self.lmfdb_label,
limit=1000)),
('All stored data to text',
url_for(".download_EC_all",
label=self.lmfdb_label)),
('Code to Magma',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='magma')),
('Code to SageMath',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='sage')),
('Code to GP',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='gp'))]
try:
self.plot = encode_plot(self.E.plot())
except AttributeError:
self.plot = encode_plot(EllipticCurve(data['ainvs']).plot())
self.plot_link = '<a href="{0}"><img src="{0}" width="200" height="150"/></a>'.format(
self.plot)
self.properties = [
('Label', self.Clabel
if self.label_type == 'Cremona' else self.lmfdb_label),
(None, self.plot_link),
('Conductor', prop_int_pretty(data['conductor'])),
('Discriminant', prop_int_pretty(data['disc'])),
('j-invariant', '%s' % data['j_inv_latex']),
('CM', '%s' % data['CM']),
('Rank', 'unknown' if self.mwbsd['rank'] == '?' else
prop_int_pretty(self.mwbsd['rank'])),
('Torsion structure', (r'\(%s\)' % self.mwbsd['tor_struct'])
if self.mwbsd['tor_struct'] else 'trivial'),
]
if self.label_type == 'Cremona':
self.title = "Elliptic curve with Cremona label {} (LMFDB label {})".format(
self.Clabel, self.lmfdb_label)
elif N < CREMONA_BOUND:
self.title = "Elliptic curve with LMFDB label {} (Cremona label {})".format(
self.lmfdb_label, self.Clabel)
else:
self.title = "Elliptic curve with LMFDB label {}".format(
self.lmfdb_label)
self.bread = [('Elliptic curves', url_for("ecnf.index")),
(r'$\Q$', url_for(".rational_elliptic_curves")),
('%s' % N, url_for(".by_conductor", conductor=N)),
('%s' % iso,
url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)), ('%s' % num, ' ')]
def make_curve(self):
# To start with the data fields of self are just those from
# the database. We need to reformat these.
# Old version: required constructing the actual elliptic curve
# E, and computing some further data about it.
# New version (May 2016): extra data fields now in the
# database so we do not have to construct the curve or do any
# computation with it on the fly. As a failsafe the old way
# is still included.
data = self.data = {}
data['ainvs'] = [ZZ(ai) for ai in self.ainvs]
data['conductor'] = N = ZZ(self.conductor)
data['j_invariant'] = QQ(str(self.jinv))
data['j_inv_factor'] = latex(0)
if data['j_invariant']: # don't factor 0
data['j_inv_factor'] = latex(data['j_invariant'].factor())
data['j_inv_str'] = unicode(str(data['j_invariant']))
data['j_inv_latex'] = web_latex(data['j_invariant'])
# extract data about MW rank, generators, heights and torsion:
self.make_mw()
# get more data from the database entry
data['equation'] = self.equation
local_data = self.local_data
D = self.signD * prod([ld['p']**ld['ord_disc'] for ld in local_data])
for ld in local_data:
ld['kod'] = ld['kod'].replace("\\\\", "\\")
data['disc'] = D
Nfac = Factorization([(ZZ(ld['p']), ld['ord_cond'])
for ld in local_data])
Dfac = Factorization([(ZZ(ld['p']), ld['ord_disc'])
for ld in local_data],
unit=ZZ(self.signD))
data['minq_D'] = minqD = self.min_quad_twist['disc']
data['minq_label'] = self.min_quad_twist[
'lmfdb_label'] if self.label_type == 'LMFDB' else self.min_quad_twist[
'label']
data['minq_info'] = '(itself)' if minqD == 1 else '(by {})'.format(
minqD)
if self.degree is None:
data['degree'] = 0 # invalid, but will be displayed nicely
else:
data['degree'] = self.degree
try:
data['an'] = self.anlist
data['ap'] = self.aplist
except AttributeError:
r = db.ec_curves.lucky({'lmfdb_iso': self.lmfdb_iso, 'number': 1})
data['an'] = r['anlist']
data['ap'] = r['aplist']
data['disc_factor'] = latex(Dfac)
data['cond_factor'] = latex(Nfac)
data['disc_latex'] = web_latex(D)
data['cond_latex'] = web_latex(N)
data['galois_images'] = [
trim_galois_image_code(s) for s in self.mod_p_images
]
data['non_maximal_primes'] = self.non_maximal_primes
data['galois_data'] = [{
'p': p,
'image': im
} for p, im in zip(data['non_maximal_primes'], data['galois_images'])]
data['CMD'] = self.cm
data['CM'] = "no"
data['EndE'] = "\(\Z\)"
if self.cm:
data['cm_ramp'] = [
p for p in ZZ(self.cm).support()
if not p in self.non_maximal_primes
]
data['cm_nramp'] = len(data['cm_ramp'])
if data['cm_nramp'] == 1:
data['cm_ramp'] = data['cm_ramp'][0]
else:
data['cm_ramp'] = ", ".join([str(p) for p in data['cm_ramp']])
data['cm_sqf'] = ZZ(self.cm).squarefree_part()
data['CM'] = "yes (\(D=%s\))" % data['CMD']
if data['CMD'] % 4 == 0:
d4 = ZZ(data['CMD']) // 4
data['EndE'] = "\(\Z[\sqrt{%s}]\)" % d4
else:
data['EndE'] = "\(\Z[(1+\sqrt{%s})/2]\)" % data['CMD']
data['ST'] = st_link_by_name(1, 2, 'N(U(1))')
else:
data['ST'] = st_link_by_name(1, 2, 'SU(2)')
data['p_adic_primes'] = [
p for i, p in enumerate(prime_range(5, 100))
if (N * data['ap'][i]) % p != 0
]
cond, iso, num = split_lmfdb_label(self.lmfdb_label)
self.one_deg = ZZ(self.class_deg).is_prime()
isodegs = [str(d) for d in self.isogeny_degrees if d > 1]
if len(isodegs) < 3:
data['isogeny_degrees'] = " and ".join(isodegs)
else:
data['isogeny_degrees'] = " and ".join(
[", ".join(isodegs[:-1]), isodegs[-1]])
if self.twoadic_gens:
from sage.matrix.all import Matrix
data['twoadic_gen_matrices'] = ','.join(
[latex(Matrix(2, 2, M)) for M in self.twoadic_gens])
data[
'twoadic_rouse_url'] = ROUSE_URL_PREFIX + self.twoadic_label + ".html"
# Leading term of L-function & other BSD data
self.make_bsd()
# Optimality (the optimal curve in the class is the curve
# whose Cremona label ends in '1' except for '990h' which was
# labelled wrongly long ago): this is proved for N up to
# OPTIMALITY_BOUND (and when there is only one curve in an
# isogeny class, obviously) and expected for all N.
# Column 'optimality' is 1 for certainly optimal curves, 0 for
# certainly non-optimal curves, and is n>1 if the curve is one
# of n in the isogeny class which may be optimal given current
# knowledge.
# Column "manin_constant' is the correct Manin constant
# assuming that the optimal curve in the class is known, or
# otherwise if it is the curve with (Cremona) number 1.
# The code here allows us to update the display correctly by
# changing one line in this file (defining OPTIMALITY_BOUND)
# without changing the data.
data['optimality_bound'] = OPTIMALITY_BOUND
data[
'manin_constant'] = self.manin_constant # (conditional on data['optimality_known'])
if N < OPTIMALITY_BOUND:
data['optimality_code'] = int(
self.number == (3 if self.iso == '990h' else 1))
data['optimality_known'] = True
data['manin_known'] = True
if self.label_type == 'Cremona':
data[
'optimal_label'] = '990h3' if self.iso == '990h' else self.iso + '1'
else:
data[
'optimal_label'] = '990.i3' if self.lmfdb_iso == '990.i' else self.lmfdb_iso + '1'
else:
data['optimality_code'] = self.optimality
data['optimality_known'] = (self.optimality < 2)
if self.optimality == 1:
data['manin_known'] = True
data[
'optimal_label'] = self.label if self.label_type == 'Cremona' else self.lmfdb_label
else:
if self.number == 1:
data['manin_known'] = False
data[
'optimal_label'] = self.label if self.label_type == 'Cremona' else self.lmfdb_label
else:
# find curve #1 in this class and its optimailty code:
opt_curve = db.ec_curves.lucky(
{
'iso': self.iso,
'number': 1
},
projection=['label', 'lmfdb_label', 'optimality'])
data['manin_known'] = (opt_curve['optimality'] == 1)
data['optimal_label'] = opt_curve[
'label' if self.label_type ==
'Cremona' else 'lmfdb_label']
data['p_adic_data_exists'] = False
if data['optimality_code'] == 1:
data['p_adic_data_exists'] = db.ec_padic.exists(
{'lmfdb_iso': self.lmfdb_iso})
# Iwasawa data (where present)
self.make_iwasawa()
# Torsion growth data (where present)
self.make_torsion_growth()
data['newform'] = web_latex(
PowerSeriesRing(QQ, 'q')(data['an'], 20, check=True))
data['newform_label'] = self.newform_label = ".".join(
[str(cond), str(2), 'a', iso])
self.newform_link = url_for("cmf.by_url_newform_label",
level=cond,
weight=2,
char_orbit_label='a',
hecke_orbit=iso)
self.newform_exists_in_db = db.mf_newforms.label_exists(
self.newform_label)
self._code = None
if self.label_type == 'Cremona':
self.class_url = url_for(".by_ec_label", label=self.iso)
self.class_name = self.iso
else:
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.class_name = self.lmfdb_iso
data['class_name'] = self.class_name
data['number'] = self.number
self.friends = [('Isogeny class ' + self.class_name, self.class_url),
('Minimal quadratic twist %s %s' %
(data['minq_info'], data['minq_label']),
url_for(".by_ec_label", label=data['minq_label'])),
('All twists ',
url_for(".rational_elliptic_curves", jinv=self.jinv))]
lfun_url = url_for("l_functions.l_function_ec_page",
conductor_label=N,
isogeny_class_label=iso)
origin_url = lfun_url.lstrip('/L/').rstrip('/')
if db.lfunc_instances.exists({'url': origin_url}):
self.friends += [('L-function', lfun_url)]
else:
self.friends += [('L-function not available', "")]
if not self.cm:
if N <= 300:
self.friends += [('Symmetric square L-function',
url_for("l_functions.l_function_ec_sym_page",
power='2',
conductor=N,
isogeny=iso))]
if N <= 50:
self.friends += [('Symmetric cube L-function',
url_for("l_functions.l_function_ec_sym_page",
power='3',
conductor=N,
isogeny=iso))]
if self.newform_exists_in_db:
self.friends += [('Modular form ' + self.newform_label,
self.newform_link)]
self.downloads = [('q-expansion to text',
url_for(".download_EC_qexp",
label=self.lmfdb_label,
limit=1000)),
('All stored data to text',
url_for(".download_EC_all",
label=self.lmfdb_label)),
('Code to Magma',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='magma')),
('Code to SageMath',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='sage')),
('Code to GP',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='gp'))]
try:
self.plot = encode_plot(self.E.plot())
except AttributeError:
self.plot = encode_plot(EllipticCurve(data['ainvs']).plot())
self.plot_link = '<a href="{0}"><img src="{0}" width="200" height="150"/></a>'.format(
self.plot)
self.properties = [
('Label',
self.label if self.label_type == 'Cremona' else self.lmfdb_label),
(None, self.plot_link), ('Conductor', '%s' % data['conductor']),
('Discriminant', '%s' % data['disc']),
('j-invariant', '%s' % data['j_inv_latex']),
('CM', '%s' % data['CM']), ('Rank', '%s' % self.mw['rank']),
('Torsion Structure', '\(%s\)' % self.mw['tor_struct'])
]
if self.label_type == 'Cremona':
self.title = "Elliptic Curve with Cremona label {} (LMFDB label {})".format(
self.label, self.lmfdb_label)
else:
self.title = "Elliptic Curve with LMFDB label {} (Cremona label {})".format(
self.lmfdb_label, self.label)
self.bread = [('Elliptic Curves', url_for("ecnf.index")),
('$\Q$', url_for(".rational_elliptic_curves")),
('%s' % N, url_for(".by_conductor", conductor=N)),
('%s' % iso,
url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)), ('%s' % num, ' ')]
def make_E(self):
K = self.field.K()
# a-invariants
self.ainvs = parse_ainvs(K, self.ainvs)
self.latex_ainvs = web_latex(self.ainvs)
self.numb = str(self.number)
# Conductor, discriminant, j-invariant
N = ideal_from_string(K, self.conductor_ideal)
self.cond = web_latex(N)
self.cond_norm = web_latex(self.conductor_norm)
local_data = self.local_data
# NB badprimes is a list of primes which divide the
# discriminant of this model. At most one of these might
# actually be a prime of good reduction, if the curve has no
# global minimal model.
badprimes = [ideal_from_string(K, ld['p']) for ld in local_data]
badnorms = [ZZ(ld['normp']) for ld in local_data]
mindisc_ords = [ld['ord_disc'] for ld in local_data]
# Assumption: the curve models stored in the database are
# either global minimal models or minimal at all but one
# prime, so the list here has length 0 or 1:
self.non_min_primes = [ideal_from_string(K, P) for P in self.non_min_p]
self.is_minimal = (len(self.non_min_primes) == 0)
self.has_minimal_model = self.is_minimal
disc_ords = [ld['ord_disc'] for ld in local_data]
if not self.is_minimal:
Pmin = self.non_min_primes[0]
P_index = badprimes.index(Pmin)
self.non_min_prime = web_latex(Pmin)
disc_ords[P_index] += 12
if self.conductor_norm == 1: # since the factorization of (1) displays as "1"
self.fact_cond = self.cond
self.fact_cond_norm = self.cond
else:
Nfac = Factorization([(P, ld['ord_cond'])
for P, ld in zip(badprimes, local_data)])
self.fact_cond = web_latex_ideal_fact(Nfac)
Nnormfac = Factorization([(q, ld['ord_cond'])
for q, ld in zip(badnorms, local_data)])
self.fact_cond_norm = web_latex(Nnormfac)
# D is the discriminant ideal of the model
D = prod([P**e for P, e in zip(badprimes, disc_ords)], K.ideal(1))
self.disc = web_latex(D)
Dnorm = D.norm()
self.disc_norm = web_latex(Dnorm)
if Dnorm == 1: # since the factorization of (1) displays as "1"
self.fact_disc = self.disc
self.fact_disc_norm = self.disc
else:
Dfac = Factorization([(P, e)
for P, e in zip(badprimes, disc_ords)])
self.fact_disc = web_latex_ideal_fact(Dfac)
Dnormfac = Factorization([(q, e)
for q, e in zip(badnorms, disc_ords)])
self.fact_disc_norm = web_latex(Dnormfac)
if not self.is_minimal:
Dmin = ideal_from_string(K, self.minD)
self.mindisc = web_latex(Dmin)
Dmin_norm = Dmin.norm()
self.mindisc_norm = web_latex(Dmin_norm)
if Dmin_norm == 1: # since the factorization of (1) displays as "1"
self.fact_mindisc = self.mindisc
self.fact_mindisc_norm = self.mindisc
else:
Dminfac = Factorization([
(P, e) for P, edd in zip(badprimes, mindisc_ords)
])
self.fact_mindisc = web_latex_ideal_fact(Dminfac)
Dminnormfac = Factorization([
(q, e) for q, e in zip(badnorms, mindisc_ords)
])
self.fact_mindisc_norm = web_latex(Dminnormfac)
j = self.field.parse_NFelt(self.jinv)
# if j:
# d = j.denominator()
# n = d * j # numerator exists for quadratic fields only!
# g = GCD(list(n))
# n1 = n / g
# self.j = web_latex(n1)
# if d != 1:
# if n1 > 1:
# # self.j = "("+self.j+")\(/\)"+web_latex(d)
# self.j = web_latex(r"\frac{%s}{%s}" % (self.j, d))
# else:
# self.j = web_latex(d)
# if g > 1:
# if n1 > 1:
# self.j = web_latex(g) + self.j
# else:
# self.j = web_latex(g)
self.j = web_latex(j)
self.fact_j = None
# See issue 1258: some j factorizations work but take too long
# (e.g. EllipticCurve/6.6.371293.1/1.1/a/1). Note that we do
# store the factorization of the denominator of j and display
# that, which is the most interesting part.
# Images of Galois representations
if not hasattr(self, 'galois_images'):
#print "No Galois image data"
self.galois_images = "?"
self.non_surjective_primes = "?"
self.galois_data = []
else:
self.galois_data = [{
'p': p,
'image': im
} for p, im in zip(self.non_surjective_primes, self.galois_images)]
# CM and End(E)
self.cm_bool = "no"
self.End = "\(\Z\)"
if self.cm:
self.rational_cm = K(self.cm).is_square()
self.cm_sqf = ZZ(self.cm).squarefree_part()
self.cm_bool = "yes (\(%s\))" % self.cm
if self.cm % 4 == 0:
d4 = ZZ(self.cm) // 4
self.End = "\(\Z[\sqrt{%s}]\)" % (d4)
else:
self.End = "\(\Z[(1+\sqrt{%s})/2]\)" % self.cm
# Galois images in CM case:
if self.cm and self.galois_images != '?':
self.cm_ramp = [
p for p in ZZ(self.cm).support()
if not p in self.non_surjective_primes
]
self.cm_nramp = len(self.cm_ramp)
if self.cm_nramp == 1:
self.cm_ramp = self.cm_ramp[0]
else:
self.cm_ramp = ", ".join([str(p) for p in self.cm_ramp])
# Sato-Tate:
# The lines below will need to change once we have curves over non-quadratic fields
# that contain the Hilbert class field of an imaginary quadratic field
if self.cm:
if self.signature == [0, 1] and ZZ(
-self.abs_disc * self.cm).is_square():
self.ST = st_link_by_name(1, 2, 'U(1)')
else:
self.ST = st_link_by_name(1, 2, 'N(U(1))')
else:
self.ST = st_link_by_name(1, 2, 'SU(2)')
# Q-curve / Base change
self.qc = "no"
try:
if self.q_curve:
self.qc = "yes"
except AttributeError: # in case the db entry does not have this field set
pass
# Torsion
self.ntors = web_latex(self.torsion_order)
self.tr = len(self.torsion_structure)
if self.tr == 0:
self.tor_struct_pretty = "Trivial"
if self.tr == 1:
self.tor_struct_pretty = "\(\Z/%s\Z\)" % self.torsion_structure[0]
if self.tr == 2:
self.tor_struct_pretty = r"\(\Z/%s\Z\times\Z/%s\Z\)" % tuple(
self.torsion_structure)
torsion_gens = [parse_point(K, P) for P in self.torsion_gens]
self.torsion_gens = ",".join([web_point(P) for P in torsion_gens])
# Rank or bounds
try:
self.rk = web_latex(self.rank)
except AttributeError:
self.rk = "?"
try:
self.rk_bnds = "%s...%s" % tuple(self.rank_bounds)
except AttributeError:
self.rank_bounds = [0, Infinity]
self.rk_bnds = "not available"
# Generators
try:
gens = [parse_point(K, P) for P in self.gens]
self.gens = ", ".join([web_point(P) for P in gens])
if self.rk == "?":
self.reg = "not available"
else:
if gens:
try:
self.reg = self.reg
except AttributeError:
self.reg = "not available"
pass # self.reg already set
else:
self.reg = 1 # otherwise we only get 1.00000...
except AttributeError:
self.gens = "not available"
self.reg = "not available"
try:
if self.rank == 0:
self.reg = 1
except AttributeError:
pass
# Local data
for P, ld in zip(badprimes, local_data):
ld['p'] = web_latex(P)
ld['norm'] = P.norm()
ld['kod'] = web_latex(ld['kod']).replace('$', '')
# URLs of self and related objects:
self.urls = {}
# It's useful to be able to use this class out of context, when calling url_for will fail:
try:
self.urls['curve'] = url_for(".show_ecnf",
nf=self.field_label,
conductor_label=quote(
self.conductor_label),
class_label=self.iso_label,
number=self.number)
except RuntimeError:
return
self.urls['class'] = url_for(".show_ecnf_isoclass",
nf=self.field_label,
conductor_label=quote(
self.conductor_label),
class_label=self.iso_label)
self.urls['conductor'] = url_for(".show_ecnf_conductor",
nf=self.field_label,
conductor_label=quote(
self.conductor_label))
self.urls['field'] = url_for(".show_ecnf1", nf=self.field_label)
# Isogeny information
if self.number == 1:
isogmat = self.isogeny_matrix
else:
isogmat = db_ecnf().find_one({
'class_label': self.class_label,
'number': 1
})['isogeny_matrix']
self.class_deg = max([max(d) for d in isogmat])
self.one_deg = ZZ(self.class_deg).is_prime()
self.ncurves = db_ecnf().count({'class_label': self.class_label})
isodegs = [str(d) for d in self.isogeny_degrees if d > 1]
if len(isodegs) < 3:
self.isogeny_degrees = " and ".join(isodegs)
else:
self.isogeny_degrees = " and ".join(
[", ".join(isodegs[:-1]), isodegs[-1]])
sig = self.signature
totally_real = sig[1] == 0
imag_quadratic = sig == [0, 1]
if totally_real:
self.hmf_label = "-".join(
[self.field.label, self.conductor_label, self.iso_label])
self.urls['hmf'] = url_for('hmf.render_hmf_webpage',
field_label=self.field.label,
label=self.hmf_label)
self.urls['Lfunction'] = url_for("l_functions.l_function_hmf_page",
field=self.field_label,
label=self.hmf_label,
character='0',
number='0')
if imag_quadratic:
self.bmf_label = "-".join(
[self.field.label, self.conductor_label, self.iso_label])
self.bmf_url = url_for('bmf.render_bmf_webpage',
field_label=self.field_label,
level_label=self.conductor_label,
label_suffix=self.iso_label)
self.friends = []
self.friends += [('Isogeny class ' + self.short_class_label,
self.urls['class'])]
self.friends += [('Twists',
url_for('ecnf.index',
field=self.field_label,
jinv=rename_j(j)))]
if totally_real:
self.friends += [('Hilbert Modular Form ' + self.hmf_label,
self.urls['hmf'])]
self.friends += [('L-function', self.urls['Lfunction'])]
if imag_quadratic:
#self.friends += [('Bianchi Modular Form %s not available' % self.bmf_label, '')]
if "CM" in self.label:
self.friends += [('Bianchi Modular Form is not cuspidal', '')]
else:
self.friends += [('Bianchi Modular Form %s' % self.bmf_label,
self.bmf_url)]
self.properties = [('Base field', self.field.field_pretty()),
('Label', self.label)]
# Plot
if K.signature()[0]:
self.plot = encode_plot(
EC_nf_plot(K, self.ainvs, self.field.generator_name()))
self.plot_link = '<img src="%s" width="200" height="150"/>' % self.plot
self.properties += [(None, self.plot_link)]
self.properties += [
('Conductor', self.cond),
('Conductor norm', self.cond_norm),
# See issue #796 for why this is hidden (can be very large)
# ('j-invariant', self.j),
('CM', self.cm_bool)
]
if self.base_change:
self.properties += [
('base-change',
'yes: %s' % ','.join([str(lab) for lab in self.base_change]))
]
else:
self.base_change = [] # in case it was False instead of []
self.properties += [('Q-curve', self.qc)]
r = self.rk
if r == "?":
r = self.rk_bnds
self.properties += [
('Torsion order', self.ntors),
('Rank', r),
]
for E0 in self.base_change:
self.friends += [('Base-change of %s /\(\Q\)' % E0,
url_for("ec.by_ec_label", label=E0))]
self._code = None # will be set if needed by get_code()
def make_E(self):
#print("Creating ECNF object for {}".format(self.label))
#sys.stdout.flush()
K = self.field.K()
# a-invariants
self.ainvs = parse_ainvs(K, self.ainvs)
self.latex_ainvs = web_latex(self.ainvs)
self.numb = str(self.number)
# Conductor, discriminant, j-invariant
if self.conductor_norm == 1:
N = K.ideal(1)
else:
N = ideal_from_string(K, self.conductor_ideal)
# The following can trigger expensive computations!
#self.cond = web_latex(N)
self.cond = pretty_ideal(N)
self.cond_norm = web_latex(self.conductor_norm)
local_data = self.local_data
# NB badprimes is a list of primes which divide the
# discriminant of this model. At most one of these might
# actually be a prime of good reduction, if the curve has no
# global minimal model.
badprimes = [ideal_from_string(K, ld['p']) for ld in local_data]
badnorms = [ZZ(ld['normp']) for ld in local_data]
mindisc_ords = [ld['ord_disc'] for ld in local_data]
# Assumption: the curve models stored in the database are
# either global minimal models or minimal at all but one
# prime, so the list here has length 0 or 1:
self.non_min_primes = [ideal_from_string(K, P) for P in self.non_min_p]
self.is_minimal = (len(self.non_min_primes) == 0)
self.has_minimal_model = self.is_minimal
disc_ords = [ld['ord_disc'] for ld in local_data]
if not self.is_minimal:
Pmin = self.non_min_primes[0]
P_index = badprimes.index(Pmin)
self.non_min_prime = pretty_ideal(Pmin)
disc_ords[P_index] += 12
if self.conductor_norm == 1: # since the factorization of (1) displays as "1"
self.fact_cond = self.cond
self.fact_cond_norm = '1'
else:
Nfac = Factorization([(P, ld['ord_cond'])
for P, ld in zip(badprimes, local_data)])
self.fact_cond = web_latex_ideal_fact(Nfac)
Nnormfac = Factorization([(q, ld['ord_cond'])
for q, ld in zip(badnorms, local_data)])
self.fact_cond_norm = web_latex(Nnormfac)
# D is the discriminant ideal of the model
D = prod([P**e for P, e in zip(badprimes, disc_ords)], K.ideal(1))
self.disc = pretty_ideal(D)
Dnorm = D.norm()
self.disc_norm = web_latex(Dnorm)
if Dnorm == 1: # since the factorization of (1) displays as "1"
self.fact_disc = self.disc
self.fact_disc_norm = '1'
else:
Dfac = Factorization([(P, e)
for P, e in zip(badprimes, disc_ords)])
self.fact_disc = web_latex_ideal_fact(Dfac)
Dnormfac = Factorization([(q, e)
for q, e in zip(badnorms, disc_ords)])
self.fact_disc_norm = web_latex(Dnormfac)
if not self.is_minimal:
Dmin = ideal_from_string(K, self.minD)
self.mindisc = pretty_ideal(Dmin)
Dmin_norm = Dmin.norm()
self.mindisc_norm = web_latex(Dmin_norm)
if Dmin_norm == 1: # since the factorization of (1) displays as "1"
self.fact_mindisc = self.mindisc
self.fact_mindisc_norm = self.mindisc_norm
else:
Dminfac = Factorization(list(zip(badprimes, mindisc_ords)))
self.fact_mindisc = web_latex_ideal_fact(Dminfac)
Dminnormfac = Factorization(list(zip(badnorms, mindisc_ords)))
self.fact_mindisc_norm = web_latex(Dminnormfac)
j = self.field.parse_NFelt(self.jinv)
# if j:
# d = j.denominator()
# n = d * j # numerator exists for quadratic fields only!
# g = GCD(list(n))
# n1 = n / g
# self.j = web_latex(n1)
# if d != 1:
# if n1 > 1:
# # self.j = "("+self.j+")\(/\)"+web_latex(d)
# self.j = web_latex(r"\frac{%s}{%s}" % (self.j, d))
# else:
# self.j = web_latex(d)
# if g > 1:
# if n1 > 1:
# self.j = web_latex(g) + self.j
# else:
# self.j = web_latex(g)
self.j = web_latex(j)
self.fact_j = None
# See issue 1258: some j factorizations work but take too long
# (e.g. EllipticCurve/6.6.371293.1/1.1/a/1). Note that we do
# store the factorization of the denominator of j and display
# that, which is the most interesting part.
# The equation is stored in the database as a latex string.
# Some of these have extraneous double quotes at beginning and
# end, shich we fix here. We also strip out initial \( and \)
# (if present) which are added in the template.
self.equation = self.equation.replace('"', '').replace('\\(',
'').replace(
'\\)', '')
# Images of Galois representations
if not hasattr(self, 'galois_images'):
#print "No Galois image data"
self.galois_images = "?"
self.non_surjective_primes = "?"
self.galois_data = []
else:
self.galois_data = [{
'p': p,
'image': im
} for p, im in zip(self.non_surjective_primes, self.galois_images)]
# CM and End(E)
self.cm_bool = "no"
self.End = r"\(\Z\)"
if self.cm:
# When we switch to storing rational cm by having |D| in
# the column, change the following lines:
if self.cm > 0:
self.rational_cm = True
self.cm = -self.cm
else:
self.rational_cm = K(self.cm).is_square()
self.cm_sqf = ZZ(self.cm).squarefree_part()
self.cm_bool = r"yes (\(%s\))" % self.cm
if self.cm % 4 == 0:
d4 = ZZ(self.cm) // 4
self.End = r"\(\Z[\sqrt{%s}]\)" % (d4)
else:
self.End = r"\(\Z[(1+\sqrt{%s})/2]\)" % self.cm
# Galois images in CM case:
if self.cm and self.galois_images != '?':
self.cm_ramp = [
p for p in ZZ(self.cm).support()
if not p in self.non_surjective_primes
]
self.cm_nramp = len(self.cm_ramp)
if self.cm_nramp == 1:
self.cm_ramp = self.cm_ramp[0]
else:
self.cm_ramp = ", ".join([str(p) for p in self.cm_ramp])
# Sato-Tate:
# The lines below will need to change once we have curves over non-quadratic fields
# that contain the Hilbert class field of an imaginary quadratic field
if self.cm:
if self.signature == [0, 1] and ZZ(
-self.abs_disc * self.cm).is_square():
self.ST = st_link_by_name(1, 2, 'U(1)')
else:
self.ST = st_link_by_name(1, 2, 'N(U(1))')
else:
self.ST = st_link_by_name(1, 2, 'SU(2)')
# Q-curve / Base change
try:
qc = self.q_curve
if qc is True:
self.qc = "yes"
elif qc is False:
self.qc = "no"
else: # just in case
self.qc = "not determined"
except AttributeError:
self.qc = "not determined"
# Torsion
self.ntors = web_latex(self.torsion_order)
self.tr = len(self.torsion_structure)
if self.tr == 0:
self.tor_struct_pretty = "trivial"
if self.tr == 1:
self.tor_struct_pretty = r"\(\Z/%s\Z\)" % self.torsion_structure[0]
if self.tr == 2:
self.tor_struct_pretty = r"\(\Z/%s\Z\times\Z/%s\Z\)" % tuple(
self.torsion_structure)
self.torsion_gens = [
web_point(parse_point(K, P)) for P in self.torsion_gens
]
# BSD data
#
# We divide into 3 cases, based on rank_bounds [lb,ub],
# analytic_rank ar, (lb=ngens always). The flag
# self.bsd_status is set to one of the following:
#
# "unconditional"
# lb=ar=ub: we always have reg but in some cases over sextic fields we do not have omega, Lvalue, sha.
# i.e. [lb,ar,ub] = [r,r,r]
#
# "conditional"
# lb=ar<ub: we always have reg but in some cases over sextic fields we do not have omega, Lvalue, sha.
# e.g. [lb,ar,ub] = [0,0,2], [1,1,3]
#
# "missing_gens"
# lb<ar<=ub
# e.g. [lb,ar,ub] = [0,1,1], [0,2,2], [1,2,2], [0,1,3]
#
# "incomplete"
# ar not computed. (We can always set lb=0, ub=Infinity.)
# Rank and bounds
try:
self.rk = web_latex(self.rank)
except AttributeError:
self.rank = None
self.rk = "not available"
try:
self.rk_lb, self.rk_ub = self.rank_bounds
except AttributeError:
self.rk_lb = 0
self.rk_ub = Infinity
self.rank_bounds = "not available"
# Analytic rank
try:
self.ar = web_latex(self.analytic_rank)
except AttributeError:
self.analytic_rank = None
self.ar = "not available"
# for debugging:
assert self.rk == "not available" or (self.rk_lb == self.rank
and self.rank == self.rk_ub)
assert self.ar == "not available" or (self.rk_lb <= self.analytic_rank
and
self.analytic_rank <= self.rk_ub)
self.bsd_status = "incomplete"
if self.analytic_rank != None:
if self.rk_lb == self.rk_ub:
self.bsd_status = "unconditional"
elif self.rk_lb == self.analytic_rank:
self.bsd_status = "conditional"
else:
self.bsd_status = "missing_gens"
# Regulator only in conditional/unconditional cases, or when we know the rank:
if self.bsd_status in ["conditional", "unconditional"]:
if self.ar == 0:
self.reg = web_latex(1) # otherwise we only get 1.00000...
else:
try:
self.reg = web_latex(self.reg)
except AttributeError:
self.reg = "not available"
elif self.rk != "not available":
self.reg = web_latex(self.reg) if self.rank else web_latex(1)
else:
self.reg = "not available"
# Generators
try:
self.gens = [web_point(parse_point(K, P)) for P in self.gens]
except AttributeError:
self.gens = []
# Global period
try:
self.omega = web_latex(self.omega)
except AttributeError:
self.omega = "not available"
# L-value
try:
r = int(self.analytic_rank)
# lhs = "L(E,1) = " if r==0 else "L'(E,1) = " if r==1 else "L^{{({})}}(E,1)/{}! = ".format(r,r)
self.Lvalue = "\\(" + str(self.Lvalue) + "\\)"
except (TypeError, AttributeError):
self.Lvalue = "not available"
# Tamagawa product
tamagawa_numbers = [ZZ(_ld['cp']) for _ld in self.local_data]
cp_fac = [cp.factor() for cp in tamagawa_numbers]
cp_fac = [
latex(cp) if len(cp) < 2 else '(' + latex(cp) + ')'
for cp in cp_fac
]
if len(cp_fac) > 1:
self.tamagawa_factors = r'\cdot'.join(cp_fac)
else:
self.tamagawa_factors = None
self.tamagawa_product = web_latex(prod(tamagawa_numbers, 1))
# Analytic Sha
try:
self.sha = web_latex(self.sha) + " (rounded)"
except AttributeError:
self.sha = "not available"
# Local data
# Fix for Kodaira symbols, which in the database start and end
# with \( and \) and may have multiple backslashes. Note that
# to put a single backslash into a python string you have to
# use '\\' which will display as '\\' but only counts as one
# character in the string. which are added in the template.
def tidy_kod(kod):
while '\\\\' in kod:
kod = kod.replace('\\\\', '\\')
kod = kod.replace('\\(', '').replace('\\)', '')
return kod
for P, ld in zip(badprimes, local_data):
ld['p'] = web_latex(P)
ld['norm'] = P.norm()
ld['kod'] = tidy_kod(ld['kod'])
# URLs of self and related objects:
self.urls = {}
# It's useful to be able to use this class out of context, when calling url_for will fail:
try:
self.urls['curve'] = url_for(".show_ecnf",
nf=self.field_label,
conductor_label=quote(
self.conductor_label),
class_label=self.iso_label,
number=self.number)
except RuntimeError:
return
self.urls['class'] = url_for(".show_ecnf_isoclass",
nf=self.field_label,
conductor_label=quote(
self.conductor_label),
class_label=self.iso_label)
self.urls['conductor'] = url_for(".show_ecnf_conductor",
nf=self.field_label,
conductor_label=quote(
self.conductor_label))
self.urls['field'] = url_for(".show_ecnf1", nf=self.field_label)
# Isogeny information
self.one_deg = ZZ(self.class_deg).is_prime()
isodegs = [str(d) for d in self.isodeg if d > 1]
if len(isodegs) < 3:
self.isodeg = " and ".join(isodegs)
else:
self.isodeg = " and ".join([", ".join(isodegs[:-1]), isodegs[-1]])
sig = self.signature
totally_real = sig[1] == 0
imag_quadratic = sig == [0, 1]
if totally_real:
self.hmf_label = "-".join(
[self.field.label, self.conductor_label, self.iso_label])
self.urls['hmf'] = url_for('hmf.render_hmf_webpage',
field_label=self.field.label,
label=self.hmf_label)
lfun_url = url_for("l_functions.l_function_ecnf_page",
field_label=self.field_label,
conductor_label=self.conductor_label,
isogeny_class_label=self.iso_label)
origin_url = lfun_url.lstrip('/L/').rstrip('/')
if sig[0] <= 2 and db.lfunc_instances.exists({'url': origin_url}):
self.urls['Lfunction'] = lfun_url
elif self.abs_disc**2 * self.conductor_norm < 70000:
# we shouldn't trust the Lfun computed on the fly for large conductor
self.urls['Lfunction'] = url_for(
"l_functions.l_function_hmf_page",
field=self.field_label,
label=self.hmf_label,
character='0',
number='0')
if imag_quadratic:
self.bmf_label = "-".join(
[self.field.label, self.conductor_label, self.iso_label])
self.bmf_url = url_for('bmf.render_bmf_webpage',
field_label=self.field_label,
level_label=self.conductor_label,
label_suffix=self.iso_label)
lfun_url = url_for("l_functions.l_function_ecnf_page",
field_label=self.field_label,
conductor_label=self.conductor_label,
isogeny_class_label=self.iso_label)
origin_url = lfun_url.lstrip('/L/').rstrip('/')
if db.lfunc_instances.exists({'url': origin_url}):
self.urls['Lfunction'] = lfun_url
# most of this code is repeated in isog_class.py
# and should be refactored
self.friends = []
self.friends += [('Isogeny class ' + self.short_class_label,
self.urls['class'])]
self.friends += [('Twists',
url_for('ecnf.index',
field=self.field_label,
jinv=rename_j(j)))]
if totally_real and not 'Lfunction' in self.urls:
self.friends += [('Hilbert modular form ' + self.hmf_label,
self.urls['hmf'])]
if imag_quadratic:
if "CM" in self.label:
self.friends += [('Bianchi modular form is not cuspidal', '')]
elif not 'Lfunction' in self.urls:
if db.bmf_forms.label_exists(self.bmf_label):
self.friends += [
('Bianchi modular form %s' % self.bmf_label,
self.bmf_url)
]
else:
self.friends += [
('(Bianchi modular form %s)' % self.bmf_label, '')
]
self.properties = [('Label', self.label)]
# Plot
if K.signature()[0]:
self.plot = encode_plot(
EC_nf_plot(K, self.ainvs, self.field.generator_name()))
self.plot_link = '<a href="{0}"><img src="{0}" width="200" height="150"/></a>'.format(
self.plot)
self.properties += [(None, self.plot_link)]
self.properties += [('Base field', self.field.field_pretty())]
self.properties += [
('Conductor', self.cond),
('Conductor norm', self.cond_norm),
# See issue #796 for why this is hidden (can be very large)
# ('j-invariant', self.j),
('CM', self.cm_bool)
]
if self.base_change:
self.properties += [
('Base change',
'yes: %s' % ','.join([str(lab) for lab in self.base_change]))
]
else:
self.base_change = [] # in case it was False instead of []
self.properties += [('Base change', 'no')]
self.properties += [('Q-curve', self.qc)]
r = self.rk
if r == "?":
r = self.rk_bnds
self.properties += [
('Torsion order', self.ntors),
('Rank', r),
]
for E0 in self.base_change:
self.friends += [(r'Base change of %s /\(\Q\)' % E0,
url_for("ec.by_ec_label", label=E0))]
self._code = None # will be set if needed by get_code()
self.downloads = [('All stored data to text',
url_for(".download_ECNF_all",
nf=self.field_label,
conductor_label=quote(self.conductor_label),
class_label=self.iso_label,
number=self.number))]
for lang in [["Magma", "magma"], ["SageMath", "sage"], ["GP", "gp"]]:
self.downloads.append(
('Code to {}'.format(lang[0]),
url_for(".ecnf_code_download",
nf=self.field_label,
conductor_label=quote(self.conductor_label),
class_label=self.iso_label,
number=self.number,
download_type=lang[1])))
if 'Lfunction' in self.urls:
Lfun = get_lfunction_by_url(
self.urls['Lfunction'].lstrip('/L').rstrip('/'),
projection=['degree', 'trace_hash', 'Lhash'])
if Lfun is None:
self.friends += [('L-function not available', "")]
else:
instances = get_instances_by_Lhash_and_trace_hash(
Lfun['Lhash'], Lfun['degree'], Lfun.get('trace_hash'))
exclude = {
elt[1].rstrip('/').lstrip('/')
for elt in self.friends if elt[1]
}
self.friends += names_and_urls(instances, exclude=exclude)
self.friends += [('L-function', self.urls['Lfunction'])]
else:
self.friends += [('L-function not available', "")]
def make_curve(self):
# To start with the data fields of self are just those from
# the database. We need to reformat these.
# Old version: required constructing the actual elliptic curve
# E, and computing some further data about it.
# New version (May 2016): extra data fields now in the
# database so we do not have to construct the curve or do any
# computation with it on the fly. As a failsafe the old way
# is still included.
data = self.data = {}
try:
data['ainvs'] = [int(c) for c in self.xainvs[1:-1].split(',')]
except AttributeError:
data['ainvs'] = [int(ai) for ai in self.ainvs]
data['conductor'] = N = ZZ(self.conductor)
data['j_invariant'] = QQ(str(self.jinv))
data['j_inv_factor'] = latex(0)
if data['j_invariant']: # don't factor 0
data['j_inv_factor'] = latex(data['j_invariant'].factor())
data['j_inv_str'] = unicode(str(data['j_invariant']))
data['j_inv_latex'] = web_latex(data['j_invariant'])
mw = self.mw = {}
mw['rank'] = self.rank
mw['int_points'] = ''
if self.xintcoords:
a1, a2, a3, a4, a6 = [ZZ(a) for a in data['ainvs']]
def lift_x(x):
f = ((x + a2) * x + a4) * x + a6
b = (a1 * x + a3)
d = (b * b + 4 * f).sqrt()
return (x, (-b + d) / 2)
mw['int_points'] = ', '.join(
web_latex(lift_x(x)) for x in self.xintcoords)
mw['generators'] = ''
mw['heights'] = []
if self.gens:
mw['generators'] = [
web_latex(tuple(P)) for P in parse_points(self.gens)
]
mw['tor_order'] = self.torsion
tor_struct = [int(c) for c in self.torsion_structure]
if mw['tor_order'] == 1:
mw['tor_struct'] = '\mathrm{Trivial}'
mw['tor_gens'] = ''
else:
mw['tor_struct'] = ' \\times '.join(
['\Z/{%s}\Z' % n for n in tor_struct])
mw['tor_gens'] = ', '.join(
web_latex(tuple(P))
for P in parse_points(self.torsion_generators))
# try to get all the data we need from the database entry (now in self)
try:
data['equation'] = self.equation
local_data = self.local_data
D = self.signD * prod(
[ld['p']**ld['ord_disc'] for ld in local_data])
data['disc'] = D
Nfac = Factorization([(ZZ(ld['p']), ld['ord_cond'])
for ld in local_data])
Dfac = Factorization([(ZZ(ld['p']), ld['ord_disc'])
for ld in local_data],
unit=ZZ(self.signD))
data['minq_D'] = minqD = self.min_quad_twist['disc']
minq_label = self.min_quad_twist['label']
data['minq_label'] = db_ec().find_one(
{'label': minq_label}, ['lmfdb_label'])['lmfdb_label']
data['minq_info'] = '(itself)' if minqD == 1 else '(by %s)' % minqD
try:
data['degree'] = self.degree
except AttributeError:
data['degree'] = 0 # invalid, but will be displayed nicely
mw['heights'] = self.heights
if self.number == 1:
data['an'] = self.anlist
data['ap'] = self.aplist
else:
r = db_ec().find_one({
'lmfdb_iso': self.lmfdb_iso,
'number': 1
}, ['anlist', 'aplist'])
data['an'] = r['anlist']
data['ap'] = r['aplist']
# otherwise fall back to computing it from the curve
except AttributeError:
print("Falling back to constructing E")
self.E = EllipticCurve(data['ainvs'])
data['equation'] = web_latex(self.E)
data['disc'] = D = self.E.discriminant()
Nfac = N.factor()
Dfac = D.factor()
bad_primes = [p for p, e in Nfac]
try:
data['degree'] = self.degree
except AttributeError:
try:
data['degree'] = self.E.modular_degree()
except RuntimeError:
data['degree'] = 0 # invalid, but will be displayed nicely
minq, minqD = self.E.minimal_quadratic_twist()
data['minq_D'] = minqD
if minqD == 1:
data['minq_label'] = self.lmfdb_label
data['minq_info'] = '(itself)'
else:
# This relies on the minimal twist being in the
# database, which is true when the database only
# contains the Cremona database. It would be a good
# idea if, when the database is extended, we ensured
# that for any curve included, all twists of smaller
# conductor are also included.
minq_ainvs = [str(c) for c in minq.ainvs()]
data['minq_label'] = db_ec().find_one(
{
'jinv': str(self.E.j_invariant()),
'ainvs': minq_ainvs
}, ['lmfdb_label'])['lmfdb_label']
data['minq_info'] = '(by %s)' % minqD
if self.gens:
self.generators = [self.E(g) for g in parse_points(self.gens)]
mw['heights'] = [P.height() for P in self.generators]
data['an'] = self.E.anlist(20, python_ints=True)
data['ap'] = self.E.aplist(100, python_ints=True)
self.local_data = local_data = []
for p in bad_primes:
ld = self.E.local_data(p, algorithm="generic")
local_data_p = {}
local_data_p['p'] = p
local_data_p['cp'] = ld.tamagawa_number()
local_data_p['kod'] = web_latex(ld.kodaira_symbol()).replace(
'$', '')
local_data_p['red'] = ld.bad_reduction_type()
rootno = -ld.bad_reduction_type()
if rootno == 0:
rootno = self.E.root_number(p)
local_data_p['rootno'] = rootno
local_data_p['ord_cond'] = ld.conductor_valuation()
local_data_p['ord_disc'] = ld.discriminant_valuation()
local_data_p['ord_den_j'] = max(
0, -self.E.j_invariant().valuation(p))
local_data.append(local_data_p)
# If we got the data from the database, the root numbers may
# not have been stored there, so we have to compute them. If
# there are additive primes this means constructing the curve.
for ld in self.local_data:
if not 'rootno' in ld:
rootno = -ld['red']
if rootno == 0:
try:
E = self.E
except AttributeError:
self.E = E = EllipticCurve(data['ainvs'])
rootno = E.root_number(ld['p'])
ld['rootno'] = rootno
minq_N, minq_iso, minq_number = split_lmfdb_label(data['minq_label'])
data['disc_factor'] = latex(Dfac)
data['cond_factor'] = latex(Nfac)
data['disc_latex'] = web_latex(D)
data['cond_latex'] = web_latex(N)
data['CMD'] = self.cm
data['CM'] = "no"
data['EndE'] = "\(\Z\)"
if self.cm:
data['CM'] = "yes (\(D=%s\))" % data['CMD']
if data['CMD'] % 4 == 0:
d4 = ZZ(data['CMD']) // 4
data['EndE'] = "\(\Z[\sqrt{%s}]\)" % d4
else:
data['EndE'] = "\(\Z[(1+\sqrt{%s})/2]\)" % data['CMD']
data['ST'] = st_link_by_name(1, 2, 'N(U(1))')
else:
data['ST'] = st_link_by_name(1, 2, 'SU(2)')
data['p_adic_primes'] = [
p for i, p in enumerate(prime_range(5, 100))
if (N * data['ap'][i]) % p != 0
]
try:
data['galois_images'] = [
trim_galois_image_code(s) for s in self.galois_images
]
data['non_surjective_primes'] = self.non_surjective_primes
except AttributeError:
#print "No Galois image data"
data['galois_images'] = []
data['non_surjective_primes'] = []
data['galois_data'] = [{
'p': p,
'image': im
} for p, im in zip(data['non_surjective_primes'],
data['galois_images'])]
cond, iso, num = split_lmfdb_label(self.lmfdb_label)
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.ncurves = db_ec().count({'lmfdb_iso': self.lmfdb_iso})
isodegs = [str(d) for d in self.isogeny_degrees if d > 1]
if len(isodegs) < 3:
data['isogeny_degrees'] = " and ".join(isodegs)
else:
data['isogeny_degrees'] = " and ".join(
[", ".join(isodegs[:-1]), isodegs[-1]])
if self.twoadic_gens:
from sage.matrix.all import Matrix
data['twoadic_gen_matrices'] = ','.join(
[latex(Matrix(2, 2, M)) for M in self.twoadic_gens])
data[
'twoadic_rouse_url'] = ROUSE_URL_PREFIX + self.twoadic_label + ".html"
# Leading term of L-function & BSD data
bsd = self.bsd = {}
r = self.rank
if r >= 2:
bsd['lder_name'] = "L^{(%s)}(E,1)/%s!" % (r, r)
elif r:
bsd['lder_name'] = "L'(E,1)"
else:
bsd['lder_name'] = "L(E,1)"
bsd['reg'] = self.regulator
bsd['omega'] = self.real_period
bsd['sha'] = int(0.1 + self.sha_an)
bsd['lder'] = self.special_value
# Optimality (the optimal curve in the class is the curve
# whose Cremona label ends in '1' except for '990h' which was
# labelled wrongly long ago)
if self.iso == '990h':
data['Gamma0optimal'] = bool(self.number == 3)
else:
data['Gamma0optimal'] = bool(self.number == 1)
data['p_adic_data_exists'] = False
if data['Gamma0optimal']:
data['p_adic_data_exists'] = (padic_db().find({
'lmfdb_iso':
self.lmfdb_iso
}).count()) > 0
tamagawa_numbers = [ZZ(ld['cp']) for ld in local_data]
cp_fac = [cp.factor() for cp in tamagawa_numbers]
cp_fac = [
latex(cp) if len(cp) < 2 else '(' + latex(cp) + ')'
for cp in cp_fac
]
bsd['tamagawa_factors'] = r'\cdot'.join(cp_fac)
bsd['tamagawa_product'] = prod(tamagawa_numbers)
data['newform'] = web_latex(
PowerSeriesRing(QQ, 'q')(data['an'], 20, check=True))
data['newform_label'] = self.newform_label = newform_label(
cond, 2, 1, iso)
self.newform_link = url_for("emf.render_elliptic_modular_forms",
level=cond,
weight=2,
character=1,
label=iso)
self.newform_exists_in_db = is_newform_in_db(self.newform_label)
self._code = None
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.friends = [('Isogeny class ' + self.lmfdb_iso, self.class_url),
('Minimal quadratic twist %s %s' %
(data['minq_info'], data['minq_label']),
url_for(".by_triple_label",
conductor=minq_N,
iso_label=minq_iso,
number=minq_number)),
('All twists ',
url_for(".rational_elliptic_curves", jinv=self.jinv)),
('L-function',
url_for("l_functions.l_function_ec_page",
label=self.lmfdb_label))]
if not self.cm:
if N <= 300:
self.friends += [('Symmetric square L-function',
url_for("l_functions.l_function_ec_sym_page",
power='2',
label=self.lmfdb_iso))]
if N <= 50:
self.friends += [('Symmetric cube L-function',
url_for("l_functions.l_function_ec_sym_page",
power='3',
label=self.lmfdb_iso))]
if self.newform_exists_in_db:
self.friends += [('Modular form ' + self.newform_label,
self.newform_link)]
self.downloads = [('Download coefficients of q-expansion',
url_for(".download_EC_qexp",
label=self.lmfdb_label,
limit=1000)),
('Download all stored data',
url_for(".download_EC_all",
label=self.lmfdb_label)),
('Download Magma code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='magma')),
('Download Sage code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='sage')),
('Download GP code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='gp'))]
try:
self.plot = encode_plot(self.E.plot())
except AttributeError:
self.plot = encode_plot(EllipticCurve(data['ainvs']).plot())
self.plot_link = '<img src="%s" width="200" height="150"/>' % self.plot
self.properties = [('Label', self.lmfdb_label), (None, self.plot_link),
('Conductor', '\(%s\)' % data['conductor']),
('Discriminant', '\(%s\)' % data['disc']),
('j-invariant', '%s' % data['j_inv_latex']),
('CM', '%s' % data['CM']),
('Rank', '\(%s\)' % mw['rank']),
('Torsion Structure', '\(%s\)' % mw['tor_struct'])]
self.title = "Elliptic Curve %s (Cremona label %s)" % (
self.lmfdb_label, self.label)
self.bread = [('Elliptic Curves', url_for("ecnf.index")),
('$\Q$', url_for(".rational_elliptic_curves")),
('%s' % N, url_for(".by_conductor", conductor=N)),
('%s' % iso,
url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)), ('%s' % num, ' ')]
def make_curve(self):
# To start with the data fields of self are just those from
# the database. We need to reformat these.
# Old version: required constructing the actual elliptic curve
# E, and computing some further data about it.
# New version (May 2016): extra data fields now in the
# database so we do not have to construct the curve or do any
# computation with it on the fly. As a failsafe the old way
# is still included.
data = self.data = {}
data['ainvs'] = self.ainvs
data['conductor'] = N = ZZ(self.conductor)
data['j_invariant'] = QQ(str(self.jinv))
data['j_inv_factor'] = latex(0)
if data['j_invariant']: # don't factor 0
data['j_inv_factor'] = latex(data['j_invariant'].factor())
data['j_inv_str'] = unicode(str(data['j_invariant']))
data['j_inv_latex'] = web_latex(data['j_invariant'])
# extract data about MW rank, generators, heights and torsion:
self.make_mw()
# get more data from the database entry
data['equation'] = self.equation
local_data = self.local_data
D = self.signD * prod([ld['p']**ld['ord_disc'] for ld in local_data])
data['disc'] = D
Nfac = Factorization([(ZZ(ld['p']), ld['ord_cond'])
for ld in local_data])
Dfac = Factorization([(ZZ(ld['p']), ld['ord_disc'])
for ld in local_data],
unit=ZZ(self.signD))
data['minq_D'] = minqD = self.min_quad_twist['disc']
minq_label = self.min_quad_twist['label']
data['minq_label'] = db.ec_curves.lucky({'label': minq_label},
'lmfdb_label')
data['minq_info'] = '(itself)' if minqD == 1 else '(by %s)' % minqD
if self.degree is None:
data['degree'] = 0 # invalid, but will be displayed nicely
else:
data['degree'] = self.degree
if self.number == 1:
data['an'] = self.anlist
data['ap'] = self.aplist
else:
r = db.ec_curves.lucky({'lmfdb_iso': self.lmfdb_iso, 'number': 1})
data['an'] = r['anlist']
data['ap'] = r['aplist']
minq_N, minq_iso, minq_number = split_lmfdb_label(data['minq_label'])
data['disc_factor'] = latex(Dfac)
data['cond_factor'] = latex(Nfac)
data['disc_latex'] = web_latex(D)
data['cond_latex'] = web_latex(N)
data['galois_images'] = [
trim_galois_image_code(s) for s in self.mod_p_images
]
data['non_maximal_primes'] = self.non_maximal_primes
data['galois_data'] = [{
'p': p,
'image': im
} for p, im in zip(data['non_maximal_primes'], data['galois_images'])]
data['CMD'] = self.cm
data['CM'] = "no"
data['EndE'] = "\(\Z\)"
if self.cm:
data['cm_ramp'] = [
p for p in ZZ(self.cm).support()
if not p in self.non_maximal_primes
]
data['cm_nramp'] = len(data['cm_ramp'])
if data['cm_nramp'] == 1:
data['cm_ramp'] = data['cm_ramp'][0]
else:
data['cm_ramp'] = ", ".join([str(p) for p in data['cm_ramp']])
data['cm_sqf'] = ZZ(self.cm).squarefree_part()
data['CM'] = "yes (\(D=%s\))" % data['CMD']
if data['CMD'] % 4 == 0:
d4 = ZZ(data['CMD']) // 4
data['EndE'] = "\(\Z[\sqrt{%s}]\)" % d4
else:
data['EndE'] = "\(\Z[(1+\sqrt{%s})/2]\)" % data['CMD']
data['ST'] = st_link_by_name(1, 2, 'N(U(1))')
else:
data['ST'] = st_link_by_name(1, 2, 'SU(2)')
data['p_adic_primes'] = [
p for i, p in enumerate(prime_range(5, 100))
if (N * data['ap'][i]) % p != 0
]
cond, iso, num = split_lmfdb_label(self.lmfdb_label)
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.one_deg = ZZ(self.class_deg).is_prime()
self.ncurves = db.ec_curves.count({'lmfdb_iso': self.lmfdb_iso})
isodegs = [str(d) for d in self.isogeny_degrees if d > 1]
if len(isodegs) < 3:
data['isogeny_degrees'] = " and ".join(isodegs)
else:
data['isogeny_degrees'] = " and ".join(
[", ".join(isodegs[:-1]), isodegs[-1]])
if self.twoadic_gens:
from sage.matrix.all import Matrix
data['twoadic_gen_matrices'] = ','.join(
[latex(Matrix(2, 2, M)) for M in self.twoadic_gens])
data[
'twoadic_rouse_url'] = ROUSE_URL_PREFIX + self.twoadic_label + ".html"
# Leading term of L-function & other BSD data
self.make_bsd()
# Optimality (the optimal curve in the class is the curve
# whose Cremona label ends in '1' except for '990h' which was
# labelled wrongly long ago)
if self.iso == '990h':
data['Gamma0optimal'] = bool(self.number == 3)
else:
data['Gamma0optimal'] = bool(self.number == 1)
data['p_adic_data_exists'] = False
if data['Gamma0optimal']:
data['p_adic_data_exists'] = db.ec_padic.exists(
{'lmfdb_iso': self.lmfdb_iso})
# Iwasawa data (where present)
self.make_iwasawa()
# Torsion growth data (where present)
self.make_torsion_growth()
data['newform'] = web_latex(
PowerSeriesRing(QQ, 'q')(data['an'], 20, check=True))
data['newform_label'] = self.newform_label = newform_label(
cond, 2, 1, iso)
self.newform_link = url_for("emf.render_elliptic_modular_forms",
level=cond,
weight=2,
character=1,
label=iso)
self.newform_exists_in_db = is_newform_in_db(self.newform_label)
self._code = None
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.friends = [('Isogeny class ' + self.lmfdb_iso, self.class_url),
('Minimal quadratic twist %s %s' %
(data['minq_info'], data['minq_label']),
url_for(".by_triple_label",
conductor=minq_N,
iso_label=minq_iso,
number=minq_number)),
('All twists ',
url_for(".rational_elliptic_curves", jinv=self.jinv)),
('L-function',
url_for("l_functions.l_function_ec_page",
conductor_label=N,
isogeny_class_label=iso))]
if not self.cm:
if N <= 300:
self.friends += [('Symmetric square L-function',
url_for("l_functions.l_function_ec_sym_page",
power='2',
conductor=N,
isogeny=iso))]
if N <= 50:
self.friends += [('Symmetric cube L-function',
url_for("l_functions.l_function_ec_sym_page",
power='3',
conductor=N,
isogeny=iso))]
if self.newform_exists_in_db:
self.friends += [('Modular form ' + self.newform_label,
self.newform_link)]
self.downloads = [('Download coefficients of q-expansion',
url_for(".download_EC_qexp",
label=self.lmfdb_label,
limit=1000)),
('Download all stored data',
url_for(".download_EC_all",
label=self.lmfdb_label)),
('Download Magma code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='magma')),
('Download SageMath code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='sage')),
('Download GP code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='gp'))]
try:
self.plot = encode_plot(self.E.plot())
except AttributeError:
self.plot = encode_plot(EllipticCurve(data['ainvs']).plot())
self.plot_link = '<a href="{0}"><img src="{0}" width="200" height="150"/></a>'.format(
self.plot)
self.properties = [('Label', self.lmfdb_label), (None, self.plot_link),
('Conductor', '\(%s\)' % data['conductor']),
('Discriminant', '\(%s\)' % data['disc']),
('j-invariant', '%s' % data['j_inv_latex']),
('CM', '%s' % data['CM']),
('Rank', '\(%s\)' % self.mw['rank']),
('Torsion Structure',
'\(%s\)' % self.mw['tor_struct'])]
self.title = "Elliptic Curve %s (Cremona label %s)" % (
self.lmfdb_label, self.label)
self.bread = [('Elliptic Curves', url_for("ecnf.index")),
('$\Q$', url_for(".rational_elliptic_curves")),
('%s' % N, url_for(".by_conductor", conductor=N)),
('%s' % iso,
url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)), ('%s' % num, ' ')]
def make_curve(self):
# To start with the data fields of self are just those from
# the database. We need to reformat these.
# Old version: required constructing the actual elliptic curve
# E, and computing some further data about it.
# New version (May 2016): extra data fields now in the
# database so we do not have to construct the curve or do any
# computation with it on the fly. As a failsafe the old way
# is still included.
data = self.data = {}
try:
data['ainvs'] = [int(c) for c in self.xainvs[1:-1].split(',')]
except AttributeError:
data['ainvs'] = [int(ai) for ai in self.ainvs]
data['conductor'] = N = ZZ(self.conductor)
data['j_invariant'] = QQ(str(self.jinv))
data['j_inv_factor'] = latex(0)
if data['j_invariant']: # don't factor 0
data['j_inv_factor'] = latex(data['j_invariant'].factor())
data['j_inv_str'] = unicode(str(data['j_invariant']))
data['j_inv_latex'] = web_latex(data['j_invariant'])
mw = self.mw = {}
mw['rank'] = self.rank
mw['int_points'] = ''
if self.xintcoords:
a1, a2, a3, a4, a6 = [ZZ(a) for a in data['ainvs']]
def lift_x(x):
f = ((x + a2) * x + a4) * x + a6
b = (a1 * x + a3)
d = (b * b + 4 * f).sqrt()
return (x, (-b + d) / 2)
mw['int_points'] = ', '.join(
web_latex(lift_x(x)) for x in self.xintcoords)
mw['generators'] = ''
mw['heights'] = []
if self.gens:
mw['generators'] = [
web_latex(tuple(P)) for P in parse_points(self.gens)
]
mw['tor_order'] = self.torsion
tor_struct = [int(c) for c in self.torsion_structure]
if mw['tor_order'] == 1:
mw['tor_struct'] = '\mathrm{Trivial}'
mw['tor_gens'] = ''
else:
mw['tor_struct'] = ' \\times '.join(
['\Z/{%s}\Z' % n for n in tor_struct])
mw['tor_gens'] = ', '.join(
web_latex(tuple(P))
for P in parse_points(self.torsion_generators))
# try to get all the data we need from the database entry (now in self)
try:
data['equation'] = self.equation
local_data = self.local_data
D = self.signD * prod(
[ld['p']**ld['ord_disc'] for ld in local_data])
data['disc'] = D
Nfac = Factorization([(ZZ(ld['p']), ld['ord_cond'])
for ld in local_data])
Dfac = Factorization([(ZZ(ld['p']), ld['ord_disc'])
for ld in local_data],
unit=ZZ(self.signD))
data['minq_D'] = minqD = self.min_quad_twist['disc']
minq_label = self.min_quad_twist['label']
data['minq_label'] = db_ec().find_one(
{'label': minq_label}, ['lmfdb_label'])['lmfdb_label']
data['minq_info'] = '(itself)' if minqD == 1 else '(by %s)' % minqD
try:
data['degree'] = self.degree
except AttributeError:
data['degree'] = 0 # invalid, but will be displayed nicely
mw['heights'] = self.heights
if self.number == 1:
data['an'] = self.anlist
data['ap'] = self.aplist
else:
r = db_ec().find_one({
'lmfdb_iso': self.lmfdb_iso,
'number': 1
}, ['anlist', 'aplist'])
data['an'] = r['anlist']
data['ap'] = r['aplist']
# otherwise fall back to computing it from the curve
except AttributeError:
self.E = EllipticCurve(data['ainvs'])
data['equation'] = web_latex(self.E)
data['disc'] = D = self.E.discriminant()
Nfac = N.factor()
Dfac = D.factor()
bad_primes = [p for p, e in Nfac]
try:
data['degree'] = self.degree
except AttributeError:
try:
data['degree'] = self.E.modular_degree()
except RuntimeError:
data['degree'] = 0 # invalid, but will be displayed nicely
minq, minqD = self.E.minimal_quadratic_twist()
data['minq_D'] = minqD
if minqD == 1:
data['minq_label'] = self.lmfdb_label
data['minq_info'] = '(itself)'
else:
# This relies on the minimal twist being in the
# database, which is true when the database only
# contains the Cremona database. It would be a good
# idea if, when the database is extended, we ensured
# that for any curve included, all twists of smaller
# conductor are also included.
minq_ainvs = [str(c) for c in minq.ainvs()]
data['minq_label'] = db_ec().find_one(
{
'jinv': str(self.E.j_invariant()),
'ainvs': minq_ainvs
}, ['lmfdb_label'])['lmfdb_label']
data['minq_info'] = '(by %s)' % minqD
if self.gens:
self.generators = [self.E(g) for g in parse_points(self.gens)]
mw['heights'] = [P.height() for P in self.generators]
data['an'] = self.E.anlist(20, python_ints=True)
data['ap'] = self.E.aplist(100, python_ints=True)
self.local_data = local_data = []
for p in bad_primes:
ld = self.E.local_data(p, algorithm="generic")
local_data_p = {}
local_data_p['p'] = p
local_data_p['cp'] = ld.tamagawa_number()
local_data_p['kod'] = web_latex(ld.kodaira_symbol()).replace(
'$', '')
local_data_p['red'] = ld.bad_reduction_type()
rootno = -ld.bad_reduction_type()
if rootno == 0:
rootno = self.E.root_number(p)
local_data_p['rootno'] = rootno
local_data_p['ord_cond'] = ld.conductor_valuation()
local_data_p['ord_disc'] = ld.discriminant_valuation()
local_data_p['ord_den_j'] = max(
0, -self.E.j_invariant().valuation(p))
local_data.append(local_data_p)
# If we got the data from the database, the root numbers may
# not have been stored there, so we have to compute them. If
# there are additive primes this means constructing the curve.
for ld in self.local_data:
if not 'rootno' in ld:
rootno = -ld['red']
if rootno == 0:
try:
E = self.E
except AttributeError:
self.E = E = EllipticCurve(data['ainvs'])
rootno = E.root_number(ld['p'])
ld['rootno'] = rootno
minq_N, minq_iso, minq_number = split_lmfdb_label(data['minq_label'])
data['disc_factor'] = latex(Dfac)
data['cond_factor'] = latex(Nfac)
data['disc_latex'] = web_latex(D)
data['cond_latex'] = web_latex(N)
data['galois_images'] = [
trim_galois_image_code(s) for s in self.mod_p_images
]
data['non_maximal_primes'] = self.non_maximal_primes
data['galois_data'] = [{
'p': p,
'image': im
} for p, im in zip(data['non_maximal_primes'], data['galois_images'])]
data['CMD'] = self.cm
data['CM'] = "no"
data['EndE'] = "\(\Z\)"
if self.cm:
data['cm_ramp'] = [
p for p in ZZ(self.cm).support()
if not p in self.non_surjective_primes
]
data['cm_nramp'] = len(data['cm_ramp'])
if data['cm_nramp'] == 1:
data['cm_ramp'] = data['cm_ramp'][0]
else:
data['cm_ramp'] = ", ".join([str(p) for p in data['cm_ramp']])
data['cm_sqf'] = ZZ(self.cm).squarefree_part()
data['CM'] = "yes (\(D=%s\))" % data['CMD']
if data['CMD'] % 4 == 0:
d4 = ZZ(data['CMD']) // 4
data['EndE'] = "\(\Z[\sqrt{%s}]\)" % d4
else:
data['EndE'] = "\(\Z[(1+\sqrt{%s})/2]\)" % data['CMD']
data['ST'] = st_link_by_name(1, 2, 'N(U(1))')
else:
data['ST'] = st_link_by_name(1, 2, 'SU(2)')
data['p_adic_primes'] = [
p for i, p in enumerate(prime_range(5, 100))
if (N * data['ap'][i]) % p != 0
]
cond, iso, num = split_lmfdb_label(self.lmfdb_label)
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.one_deg = ZZ(self.class_deg).is_prime()
self.ncurves = db_ec().count({'lmfdb_iso': self.lmfdb_iso})
isodegs = [str(d) for d in self.isogeny_degrees if d > 1]
if len(isodegs) < 3:
data['isogeny_degrees'] = " and ".join(isodegs)
else:
data['isogeny_degrees'] = " and ".join(
[", ".join(isodegs[:-1]), isodegs[-1]])
if self.twoadic_gens:
from sage.matrix.all import Matrix
data['twoadic_gen_matrices'] = ','.join(
[latex(Matrix(2, 2, M)) for M in self.twoadic_gens])
data[
'twoadic_rouse_url'] = ROUSE_URL_PREFIX + self.twoadic_label + ".html"
# Leading term of L-function & BSD data
bsd = self.bsd = {}
r = self.rank
if r >= 2:
bsd['lder_name'] = "L^{(%s)}(E,1)/%s!" % (r, r)
elif r:
bsd['lder_name'] = "L'(E,1)"
else:
bsd['lder_name'] = "L(E,1)"
bsd['reg'] = self.regulator
bsd['omega'] = self.real_period
bsd['sha'] = int(0.1 + self.sha_an)
bsd['lder'] = self.special_value
# Optimality (the optimal curve in the class is the curve
# whose Cremona label ends in '1' except for '990h' which was
# labelled wrongly long ago)
if self.iso == '990h':
data['Gamma0optimal'] = bool(self.number == 3)
else:
data['Gamma0optimal'] = bool(self.number == 1)
data['p_adic_data_exists'] = False
if data['Gamma0optimal']:
data['p_adic_data_exists'] = (padic_db().find({
'lmfdb_iso':
self.lmfdb_iso
}).count()) > 0
data['iwdata'] = []
try:
pp = [int(p) for p in self.iwdata]
badp = [l['p'] for l in self.local_data]
rtypes = [l['red'] for l in self.local_data]
data[
'iw_missing_flag'] = False # flags that there is at least one "?" in the table
data[
'additive_shown'] = False # flags that there is at least one additive prime in table
for p in sorted(pp):
rtype = ""
if p in badp:
red = rtypes[badp.index(p)]
# Additive primes are excluded from the table
# if red==0:
# continue
#rtype = ["nsmult","add", "smult"][1+red]
rtype = ["nonsplit", "add", "split"][1 + red]
p = str(p)
pdata = self.iwdata[p]
if isinstance(pdata, type(u'?')):
if not rtype:
rtype = "ordinary" if pdata == "o?" else "ss"
if rtype == "add":
data['iwdata'] += [[p, rtype, "-", "-"]]
data['additive_shown'] = True
else:
data['iwdata'] += [[p, rtype, "?", "?"]]
data['iw_missing_flag'] = True
else:
if len(pdata) == 2:
if not rtype:
rtype = "ordinary"
lambdas = str(pdata[0])
mus = str(pdata[1])
else:
rtype = "ss"
lambdas = ",".join([str(pdata[0]), str(pdata[1])])
mus = str(pdata[2])
mus = ",".join([mus, mus])
data['iwdata'] += [[p, rtype, lambdas, mus]]
except AttributeError:
# For curves with no Iwasawa data
pass
tamagawa_numbers = [ZZ(ld['cp']) for ld in local_data]
cp_fac = [cp.factor() for cp in tamagawa_numbers]
cp_fac = [
latex(cp) if len(cp) < 2 else '(' + latex(cp) + ')'
for cp in cp_fac
]
bsd['tamagawa_factors'] = r'\cdot'.join(cp_fac)
bsd['tamagawa_product'] = prod(tamagawa_numbers)
# Torsion growth data
data['torsion_growth_data_exists'] = False
try:
tg = self.tor_gro
data['torsion_growth_data_exists'] = True
data['tgx'] = tgextra = []
# find all base-changes of this curve in the database, if any
bcs = [
res['label']
for res in getDBConnection().elliptic_curves.nfcurves.find(
{'base_change': self.lmfdb_label},
projection={
'label': True,
'_id': False
})
]
bcfs = [lab.split("-")[0] for lab in bcs]
for F, T in tg.items():
tg1 = {}
tg1['bc'] = "Not in database"
if ":" in F:
F = F.replace(":", ".")
field_data = nf_display_knowl(F, getDBConnection(),
field_pretty(F))
deg = int(F.split(".")[0])
bcc = [x for x, y in zip(bcs, bcfs) if y == F]
if bcc:
from lmfdb.ecnf.main import split_full_label
F, NN, I, C = split_full_label(bcc[0])
tg1['bc'] = bcc[0]
tg1['bc_url'] = url_for('ecnf.show_ecnf',
nf=F,
conductor_label=NN,
class_label=I,
number=C)
else:
field_data = web_latex_split_on_pm(
coeff_to_poly(string2list(F)))
deg = F.count(",")
tg1['d'] = deg
tg1['f'] = field_data
tg1['t'] = '\(' + ' \\times '.join(
['\Z/{}\Z'.format(n) for n in T.split(",")]) + '\)'
tg1['m'] = 0
tgextra.append(tg1)
tgextra.sort(key=lambda x: x['d'])
data['ntgx'] = len(tgextra)
lastd = 1
for tg in tgextra:
d = tg['d']
if d != lastd:
tg['m'] = len([x for x in tgextra if x['d'] == d])
lastd = d
data['tg_maxd'] = max(db_ecstats().find_one(
{'_id': 'torsion_growth'})['degrees'])
except AttributeError:
pass # we have no torsion growth data
data['newform'] = web_latex(
PowerSeriesRing(QQ, 'q')(data['an'], 20, check=True))
data['newform_label'] = self.newform_label = newform_label(
cond, 2, 1, iso)
self.newform_link = url_for("emf.render_elliptic_modular_forms",
level=cond,
weight=2,
character=1,
label=iso)
self.newform_exists_in_db = is_newform_in_db(self.newform_label)
self._code = None
self.class_url = url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)
self.friends = [('Isogeny class ' + self.lmfdb_iso, self.class_url),
('Minimal quadratic twist %s %s' %
(data['minq_info'], data['minq_label']),
url_for(".by_triple_label",
conductor=minq_N,
iso_label=minq_iso,
number=minq_number)),
('All twists ',
url_for(".rational_elliptic_curves", jinv=self.jinv)),
('L-function',
url_for("l_functions.l_function_ec_page",
conductor_label=N,
isogeny_class_label=iso))]
if not self.cm:
if N <= 300:
self.friends += [('Symmetric square L-function',
url_for("l_functions.l_function_ec_sym_page",
power='2',
conductor=N,
isogeny=iso))]
if N <= 50:
self.friends += [('Symmetric cube L-function',
url_for("l_functions.l_function_ec_sym_page",
power='3',
conductor=N,
isogeny=iso))]
if self.newform_exists_in_db:
self.friends += [('Modular form ' + self.newform_label,
self.newform_link)]
self.downloads = [('Download coefficients of q-expansion',
url_for(".download_EC_qexp",
label=self.lmfdb_label,
limit=1000)),
('Download all stored data',
url_for(".download_EC_all",
label=self.lmfdb_label)),
('Download Magma code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='magma')),
('Download Sage code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='sage')),
('Download GP code',
url_for(".ec_code_download",
conductor=cond,
iso=iso,
number=num,
label=self.lmfdb_label,
download_type='gp'))]
try:
self.plot = encode_plot(self.E.plot())
except AttributeError:
self.plot = encode_plot(EllipticCurve(data['ainvs']).plot())
self.plot_link = '<a href="{0}"><img src="{0}" width="200" height="150"/></a>'.format(
self.plot)
self.properties = [('Label', self.lmfdb_label), (None, self.plot_link),
('Conductor', '\(%s\)' % data['conductor']),
('Discriminant', '\(%s\)' % data['disc']),
('j-invariant', '%s' % data['j_inv_latex']),
('CM', '%s' % data['CM']),
('Rank', '\(%s\)' % mw['rank']),
('Torsion Structure', '\(%s\)' % mw['tor_struct'])]
self.title = "Elliptic Curve %s (Cremona label %s)" % (
self.lmfdb_label, self.label)
self.bread = [('Elliptic Curves', url_for("ecnf.index")),
('$\Q$', url_for(".rational_elliptic_curves")),
('%s' % N, url_for(".by_conductor", conductor=N)),
('%s' % iso,
url_for(".by_double_iso_label",
conductor=N,
iso_label=iso)), ('%s' % num, ' ')]