vm_basis.py

"""
The Victor Miller Basis

This module contains functions for quick calculation of a basis of
`q`-expansions for the space of modular forms of level 1 and any weight. The
basis returned is the Victor Miller basis, which is the unique basis of
elliptic modular forms `f_1, \dots, f_d` for which `a_i(f_j) = \delta_{ij}`
for `1 \le i, j \le d` (where `d` is the dimension of the space).

This basis is calculated using a standard set of generators for the ring of
modular forms, using the fast multiplication algorithms for polynomials and
power series provided by the FLINT library. (This is far quicker than using
modular symbols).

TESTS::

    sage: ModularSymbols(1, 36, 1).cuspidal_submodule().q_expansion_basis(30) == victor_miller_basis(36, 30, cusp_only=True)
    True
"""

#*****************************************************************************
#       Copyright (C) 2006 William Stein <[email protected]>
#
#  Distributed under the terms of the GNU General Public License (GPL)
#  as published by the Free Software Foundation; either version 2 of
#  the License, or (at your option) any later version.
#                  http://www.gnu.org/licenses/
#*****************************************************************************

import math

from sage.rings.all import QQ, ZZ, Integer, \
        PolynomialRing, PowerSeriesRing, O as bigO
from sage.structure.all import Sequence
from sage.libs.flint.fmpz_poly import Fmpz_poly
from sage.misc.all import verbose

from eis_series_cython import eisenstein_series_poly

def victor_miller_basis(k, prec=10, cusp_only=False, var='q'):
    r"""
    Compute and return the Victor Miller basis for modular forms of
    weight `k` and level 1 to precision `O(q^{prec})`.  If
    ``cusp_only`` is True, return only a basis for the cuspidal
    subspace.

    INPUT:

    - ``k`` -- an integer

    - ``prec`` -- (default: 10) a positive integer

    - ``cusp_only`` -- bool (default: False)

    - ``var`` -- string (default: 'q')

    OUTPUT:

        A sequence whose entries are power series in ``ZZ[[var]]``.

    EXAMPLES::

        sage: victor_miller_basis(1, 6)
        []
        sage: victor_miller_basis(0, 6)
        [
        1 + O(q^6)
        ]
        sage: victor_miller_basis(2, 6)
        []
        sage: victor_miller_basis(4, 6)
        [
        1 + 240*q + 2160*q^2 + 6720*q^3 + 17520*q^4 + 30240*q^5 + O(q^6)
        ]

        sage: victor_miller_basis(6, 6, var='w')
        [
        1 - 504*w - 16632*w^2 - 122976*w^3 - 532728*w^4 - 1575504*w^5 + O(w^6)
        ]

        sage: victor_miller_basis(6, 6)
        [
        1 - 504*q - 16632*q^2 - 122976*q^3 - 532728*q^4 - 1575504*q^5 + O(q^6)
        ]
        sage: victor_miller_basis(12, 6)
        [
        1 + 196560*q^2 + 16773120*q^3 + 398034000*q^4 + 4629381120*q^5 + O(q^6),
        q - 24*q^2 + 252*q^3 - 1472*q^4 + 4830*q^5 + O(q^6)
        ]

        sage: victor_miller_basis(12, 6, cusp_only=True)
        [
        q - 24*q^2 + 252*q^3 - 1472*q^4 + 4830*q^5 + O(q^6)
        ]
        sage: victor_miller_basis(24, 6, cusp_only=True)
        [
        q + 195660*q^3 + 12080128*q^4 + 44656110*q^5 + O(q^6),
        q^2 - 48*q^3 + 1080*q^4 - 15040*q^5 + O(q^6)
        ]
        sage: victor_miller_basis(24, 6)
        [
        1 + 52416000*q^3 + 39007332000*q^4 + 6609020221440*q^5 + O(q^6),
        q + 195660*q^3 + 12080128*q^4 + 44656110*q^5 + O(q^6),
        q^2 - 48*q^3 + 1080*q^4 - 15040*q^5 + O(q^6)
        ]
        sage: victor_miller_basis(32, 6)
        [
        1 + 2611200*q^3 + 19524758400*q^4 + 19715347537920*q^5 + O(q^6),
        q + 50220*q^3 + 87866368*q^4 + 18647219790*q^5 + O(q^6),
        q^2 + 432*q^3 + 39960*q^4 - 1418560*q^5 + O(q^6)
        ]

        sage: victor_miller_basis(40,200)[1:] == victor_miller_basis(40,200,cusp_only=True)
        True
        sage: victor_miller_basis(200,40)[1:] == victor_miller_basis(200,40,cusp_only=True)
        True

    AUTHORS:

    - William Stein, Craig Citro: original code

    - Martin Raum (2009-08-02): use FLINT for polynomial arithmetic (instead of NTL)
    """
    k = Integer(k)
    if k%2 == 1 or k==2:
        return Sequence([])
    elif k < 0:
        raise ValueError, "k must be non-negative"
    elif k == 0:
        return Sequence([PowerSeriesRing(ZZ,var)(1).add_bigoh(prec)], cr=True)
    e = k.mod(12)
    if e == 2: e += 12
    n = (k-e) // 12

    if n == 0 and cusp_only:
        return Sequence([])

    # If prec is less than or equal to the dimension of the space of
    # cusp forms, which is just n, then we know the answer, and we
    # simply return it.
    if prec <= n:
        q = PowerSeriesRing(ZZ,var).gen(0)
        err = bigO(q**prec)
        ls = [0] * (n+1)
        if not cusp_only:
            ls[0] = 1 + err
        for i in range(1,prec):
            ls[i] = q**i + err
        for i in range(prec,n+1):
            ls[i] = err
        return Sequence(ls, cr=True)

    F6 = eisenstein_series_poly(6,prec)

    if e == 0:
        A = Fmpz_poly(1)
    elif e == 4:
        A = eisenstein_series_poly(4,prec)
    elif e == 6:
        A = F6
    elif e == 8:
        A = eisenstein_series_poly(8,prec)
    elif e == 10:
        A = eisenstein_series_poly(10,prec)
    else: # e == 14
        A = eisenstein_series_poly(14,prec)

    if A[0] == -1 :
        A = -A

    if n == 0:
        return Sequence([PowerSeriesRing(ZZ,var)(A.list()).add_bigoh(prec)],cr=True)

    F6_squared = F6**2
    F6_squared._unsafe_mutate_truncate(prec)
    D = _delta_poly(prec)
    Fprod = F6_squared
    Dprod = D

    if cusp_only:
        ls = [Fmpz_poly(0)] + [A] * n
    else:
        ls = [A] * (n+1)

    for i in xrange(1,n+1):
        ls[n-i] *= Fprod
        ls[i] *= Dprod
        ls[n-i]._unsafe_mutate_truncate(prec)
        ls[i]._unsafe_mutate_truncate(prec)

        Fprod *= F6_squared
        Dprod *= D
        Fprod._unsafe_mutate_truncate(prec)
        Dprod._unsafe_mutate_truncate(prec)


    P = PowerSeriesRing(ZZ,var)
    if cusp_only :
        for i in xrange(1,n+1) :
            for j in xrange(1, i) :
                ls[j] = ls[j] - ls[j][i]*ls[i]

        return Sequence(map(lambda l: P(l.list()).add_bigoh(prec), ls[1:]),cr=True)
    else :
        for i in xrange(1,n+1) :
            for j in xrange(i) :
                ls[j] = ls[j] - ls[j][i]*ls[i]

        return Sequence(map(lambda l: P(l.list()).add_bigoh(prec), ls), cr=True)

def _delta_poly(prec=10):
    """
    Return the q-expansion of Delta as a FLINT polynomial. Used internally by
    the :func:`~delta_qexp` function. See the docstring of :func:`~delta_qexp`
    for more information.

    INPUT:

    - ``prec`` -- integer; the absolute precision of the output

    OUTPUT:

        the q-expansion of Delta to precision ``prec``, as a FLINT
        :class:`~sage.libs.flint.fmpz_poly.Fmpz_poly` object.

    EXAMPLES::

        sage: from sage.modular.modform.vm_basis import _delta_poly
        sage: _delta_poly(7)
        7  0 1 -24 252 -1472 4830 -6048
    """
    if prec <= 0:
        raise ValueError, "prec must be positive"
    v = [0] * prec

    # Let F = \sum_{n >= 0} (-1)^n (2n+1) q^(floor(n(n+1)/2)).
    # Then delta is F^8.

    # First compute F^2 directly by naive polynomial multiplication,
    # since F is very sparse.

    stop = int((-1+math.sqrt(1+8*prec))/2.0)
    # make list of index/value pairs for the sparse poly
    values = [(n*(n+1)//2, ((-2*n-1) if (n & 1) else (2*n+1))) \
              for n in xrange(stop+1)]

    for (i1, v1) in values:
        for (i2, v2) in values:
            try:
                v[i1 + i2] += v1 * v2
            except IndexError:
                break

    f = Fmpz_poly(v)
    t = verbose('made series')
    f = f*f
    f._unsafe_mutate_truncate(prec)
    t = verbose('squared (2 of 3)', t)
    f = f*f
    f._unsafe_mutate_truncate(prec - 1)
    t = verbose('squared (3 of 3)', t)
    f = f.left_shift(1)
    t = verbose('shifted', t)

    return f

def _delta_poly_modulo(N, prec=10):
    """
    Return the q-expansion of `\Delta` modulo `N`. Used internally by
    the :func:`~delta_qexp` function. See the docstring of :func:`~delta_qexp`
    for more information.

    INPUT:

    - `N` -- positive integer modulo which we want to compute `\Delta`

    - ``prec`` -- integer; the absolute precision of the output

    OUTPUT:

        the polynomial of degree ``prec``-1 which is the truncation
        of `\Delta` modulo `N`, as an element of the polynomial
        ring in `q` over the integers modulo `N`.

    EXAMPLES::

        sage: from sage.modular.modform.vm_basis import _delta_poly_modulo
        sage: _delta_poly_modulo(5, 7)
        2*q^6 + 3*q^4 + 2*q^3 + q^2 + q
        sage: _delta_poly_modulo(10, 12)
        2*q^11 + 7*q^9 + 6*q^7 + 2*q^6 + 8*q^4 + 2*q^3 + 6*q^2 + q
    """
    if prec <= 0:
        raise ValueError( "prec must be positive" )
    v = [0] * prec

    # Let F = \sum_{n >= 0} (-1)^n (2n+1) q^(floor(n(n+1)/2)).
    # Then delta is F^8.

    stop = int((-1+math.sqrt(8*prec))/2.0)

    for n in xrange(stop+1):
        v[n*(n+1)//2] = ((N-1)*(2*n+1) if (n & 1) else (2*n+1))

    from sage.rings.all import Integers

    P = PolynomialRing(Integers(N), 'q')
    f = P(v)
    t = verbose('made series')
    # fast way of computing f*f truncated at prec
    f = f._mul_trunc(f, prec)
    t = verbose('squared (1 of 3)', t)
    f = f._mul_trunc(f, prec)
    t = verbose('squared (2 of 3)', t)
    f = f._mul_trunc(f, prec - 1)
    t = verbose('squared (3 of 3)', t)
    f = f.shift(1)
    t = verbose('shifted', t)

    return f


def delta_qexp(prec=10, var='q', K=ZZ) :
    """
    Return the `q`-expansion of the weight 12 cusp form `\Delta` as a power
    series with coefficients in the ring K (`= \ZZ` by default).

    INPUT:

    - ``prec`` -- integer (default 10), the absolute precision of the output
      (must be positive)

    - ``var`` -- string (default: 'q'), variable name

    - ``K`` -- ring (default: `\ZZ`), base ring of answer

    OUTPUT:

    a power series over K in the variable ``var``

    ALGORITHM:

    Compute the theta series

    .. math::

        \sum_{n \ge 0} (-1)^n (2n+1) q^{n(n+1)/2},

    a very simple explicit modular form whose 8th power is `\Delta`. Then
    compute the 8th power. All computations are done over `\ZZ` or `\ZZ`
    modulo `N` depending on the characteristic of the given coefficient
    ring `K`, and coerced into `K` afterwards.

    EXAMPLES::

        sage: delta_qexp(7)
        q - 24*q^2 + 252*q^3 - 1472*q^4 + 4830*q^5 - 6048*q^6 + O(q^7)
        sage: delta_qexp(7,'z')
        z - 24*z^2 + 252*z^3 - 1472*z^4 + 4830*z^5 - 6048*z^6 + O(z^7)
        sage: delta_qexp(-3)
        Traceback (most recent call last):
        ...
        ValueError: prec must be positive
        sage: delta_qexp(20, K = GF(3))
        q + q^4 + 2*q^7 + 2*q^13 + q^16 + 2*q^19 + O(q^20)
        sage: delta_qexp(20, K = GF(3^5, 'a'))
        q + q^4 + 2*q^7 + 2*q^13 + q^16 + 2*q^19 + O(q^20)
        sage: delta_qexp(10, K = IntegerModRing(60))
        q + 36*q^2 + 12*q^3 + 28*q^4 + 30*q^5 + 12*q^6 + 56*q^7 + 57*q^9 + O(q^10)

    TESTS:

    Test algorithm with modular arithmetic (see also #11804)::

        sage: delta_qexp(10^4).change_ring(GF(13)) == delta_qexp(10^4, K=GF(13))
        True
        sage: delta_qexp(1000).change_ring(IntegerModRing(5^100)) == delta_qexp(1000, K=IntegerModRing(5^100))
        True

    AUTHORS:

    - William Stein: original code

    - David Harvey (2007-05): sped up first squaring step

    - Martin Raum (2009-08-02): use FLINT for polynomial arithmetic (instead of NTL)
    """
    R = PowerSeriesRing(K, var)
    if K in (ZZ, QQ):
        return R(_delta_poly(prec).list(), prec, check=False)
    ch = K.characteristic()
    if ch > 0 and prec > 150:
        return R(_delta_poly_modulo(ch, prec), prec, check=False)
    else:
        # compute over ZZ and coerce
        return R(_delta_poly(prec).list(), prec, check=True)