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r""" Finite Fields
Sage supports arithmetic in finite prime and extension fields. Several implementation for prime fields are implemented natively in Sage for several sizes of primes `p`. These implementations are
- ``sage.rings.finite_rings.integer_mod.IntegerMod_int``,
- ``sage.rings.finite_rings.integer_mod.IntegerMod_int64``, and
- ``sage.rings.finite_rings.integer_mod.IntegerMod_gmp``.
Small extension fields of cardinality `< 2^{16}` are implemented using tables of Zech logs via the Givaro C++ library (``sage.rings.finite_rings.finite_field_givaro.FiniteField_givaro``). While this representation is very fast it is limited to finite fields of small cardinality. Larger finite extension fields of order `q >= 2^{16}` are internally represented as polynomials over smaller finite prime fields. If the characteristic of such a field is 2 then NTL is used internally to represent the field (``sage.rings.finite_rings.finite_field_ntl_gf2e.FiniteField_ntl_gf2e``). In all other case the PARI C library is used (``sage.rings.finite_rings.finite_field_pari_ffelt.FiniteField_pari_ffelt``).
However, this distinction is internal only and the user usually does not have to worry about it because consistency across all implementations is aimed for. In all extension field implementations the user may either specify a minimal polynomial or leave the choice to Sage.
For small finite fields the default choice are Conway polynomials.
The Conway polynomial `C_n` is the lexicographically first monic irreducible, primitive polynomial of degree `n` over `GF(p)` with the property that for a root `\alpha` of `C_n` we have that `\beta= \alpha^{(p^n - 1)/(p^m - 1)}` is a root of `C_m` for all `m` dividing `n`. Sage contains a database of Conway polynomials which also can be queried independently of finite field construction.
A pseudo-Conway polynomial satisfies all of the conditions required of a Conway polynomial except the condition that it is lexicographically first. They are therefore not unique. If no variable name is specified for an extension field, Sage will fit the finite field into a compatible lattice of field extensions defined by pseudo-Conway polynomials. This lattice is stored in an :class:`~sage.rings.algebraic_closure_finite_field.AlgebraicClosureFiniteField` object; different algebraic closure objects can be created by using a different ``prefix`` keyword to the finite field constructor.
Note that the computation of pseudo-Conway polynomials is expensive when the degree is large and highly composite. If a variable name is specified then a random polynomial is used instead, which will be much faster to find.
While Sage supports basic arithmetic in finite fields some more advanced features for computing with finite fields are still not implemented. For instance, Sage does not calculate embeddings of finite fields yet.
EXAMPLES::
sage: k = GF(5); type(k) <class 'sage.rings.finite_rings.finite_field_prime_modn.FiniteField_prime_modn_with_category'>
::
sage: k = GF(5^2,'c'); type(k) <class 'sage.rings.finite_rings.finite_field_givaro.FiniteField_givaro_with_category'>
::
sage: k = GF(2^16,'c'); type(k) <class 'sage.rings.finite_rings.finite_field_ntl_gf2e.FiniteField_ntl_gf2e_with_category'>
::
sage: k = GF(3^16,'c'); type(k) <class 'sage.rings.finite_rings.finite_field_pari_ffelt.FiniteField_pari_ffelt_with_category'>
Finite Fields support iteration, starting with 0.
::
sage: k = GF(9, 'a') sage: for i,x in enumerate(k): print("{} {}".format(i, x)) 0 0 1 a 2 a + 1 3 2*a + 1 4 2 5 2*a 6 2*a + 2 7 a + 2 8 1 sage: for a in GF(5): ....: print(a) 0 1 2 3 4
We output the base rings of several finite fields.
::
sage: k = GF(3); type(k) <class 'sage.rings.finite_rings.finite_field_prime_modn.FiniteField_prime_modn_with_category'> sage: k.base_ring() Finite Field of size 3
::
sage: k = GF(9,'alpha'); type(k) <class 'sage.rings.finite_rings.finite_field_givaro.FiniteField_givaro_with_category'> sage: k.base_ring() Finite Field of size 3
::
sage: k = GF(3^40,'b'); type(k) <class 'sage.rings.finite_rings.finite_field_pari_ffelt.FiniteField_pari_ffelt_with_category'> sage: k.base_ring() Finite Field of size 3
Further examples::
sage: GF(2).is_field() True sage: GF(next_prime(10^20)).is_field() True sage: GF(19^20,'a').is_field() True sage: GF(8,'a').is_field() True
AUTHORS:
- William Stein: initial version
- Robert Bradshaw: prime field implementation
- Martin Albrecht: Givaro and ntl.GF2E implementations """
#***************************************************************************** # Copyright (C) 2006 William Stein <wstein@gmail.com> # # Distributed under the terms of the GNU General Public License (GPL) # # This code is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # General Public License for more details. # # The full text of the GPL is available at: # # http://www.gnu.org/licenses/ #***************************************************************************** from __future__ import print_function from __future__ import absolute_import
import random
from sage.rings.finite_rings.finite_field_base import is_FiniteField from sage.structure.category_object import normalize_names
from sage.rings.integer import Integer
import sage.rings.polynomial.polynomial_element as polynomial_element import sage.rings.polynomial.multi_polynomial_element as multi_polynomial_element from sage.rings.polynomial.polynomial_ring_constructor import PolynomialRing
# We don't late import this because this means trouble with the Givaro library # On a Macbook Pro OSX 10.5.8, this manifests as a Bus Error on exiting Sage. # TODO: figure out why from .finite_field_givaro import FiniteField_givaro
import sage.interfaces.gap
from sage.structure.factory import UniqueFactory
class FiniteFieldFactory(UniqueFactory): """ Return the globally unique finite field of given order with generator labeled by the given name and possibly with given modulus.
INPUT:
- ``order`` -- a prime power
- ``name`` -- string, optional. Note that there can be a substantial speed penalty (in creating extension fields) when omitting the variable name, since doing so triggers the computation of pseudo-Conway polynomials in order to define a coherent lattice of extensions of the prime field. The speed penalty grows with the size of extension degree and with the number of factors of the extension degree.
- ``modulus`` -- (optional) either a defining polynomial for the field, or a string specifying an algorithm to use to generate such a polynomial. If ``modulus`` is a string, it is passed to :meth:`~sage.rings.polynomial.irreducible_element()` as the parameter ``algorithm``; see there for the permissible values of this parameter. In particular, you can specify ``modulus="primitive"`` to get a primitive polynomial. You may not specify a modulus if you do not specify a variable name.
- ``impl`` -- (optional) a string specifying the implementation of the finite field. Possible values are:
- ``'modn'`` -- ring of integers modulo `p` (only for prime fields).
- ``'givaro'`` -- Givaro, which uses Zech logs (only for fields of at most 65521 elements).
- ``'ntl'`` -- NTL using GF2X (only in characteristic 2).
- ``'pari'`` or ``'pari_ffelt'`` -- PARI's ``FFELT`` type (only for extension fields).
- ``elem_cache`` -- (default: order < 500) cache all elements to avoid creation time; ignored unless ``impl='givaro'``
- ``repr`` -- (default: ``'poly'``) ignored unless ``impl='givaro'``; controls the way elements are printed to the user:
- 'log': repr is :meth:`~sage.rings.finite_rings.element_givaro.FiniteField_givaroElement.log_repr()`
- 'int': repr is :meth:`~sage.rings.finite_rings.element_givaro.FiniteField_givaroElement.int_repr()`
- 'poly': repr is :meth:`~sage.rings.finite_rings.element_givaro.FiniteField_givaroElement.poly_repr()`
- ``check_irreducible`` -- verify that the polynomial modulus is irreducible
- ``proof`` -- bool (default: ``True``): if ``True``, use provable primality test; otherwise only use pseudoprimality test.
ALIAS: You can also use ``GF`` instead of ``FiniteField`` -- they are identical.
EXAMPLES::
sage: k.<a> = FiniteField(9); k Finite Field in a of size 3^2 sage: parent(a) Finite Field in a of size 3^2 sage: charpoly(a, 'y') y^2 + 2*y + 2
We illustrate the proof flag. The following example would hang for a very long time if we didn't use ``proof=False``.
.. NOTE::
Magma only supports ``proof=False`` for making finite fields, so falsely appears to be faster than Sage -- see :trac:`10975`.
::
sage: k = FiniteField(10^1000 + 453, proof=False) sage: k = FiniteField((10^1000 + 453)^2, 'a', proof=False) # long time -- about 5 seconds
::
sage: F.<x> = GF(5)[] sage: K.<a> = GF(5**5, name='a', modulus=x^5 - x +1 ) sage: f = K.modulus(); f x^5 + 4*x + 1 sage: type(f) <type 'sage.rings.polynomial.polynomial_zmod_flint.Polynomial_zmod_flint'>
By default, the given generator is not guaranteed to be primitive (a generator of the multiplicative group), use ``modulus="primitive"`` if you need this::
sage: K.<a> = GF(5^40) sage: a.multiplicative_order() 4547473508864641189575195312 sage: a.is_square() True sage: K.<b> = GF(5^40, modulus="primitive") sage: b.multiplicative_order() 9094947017729282379150390624
The modulus must be irreducible::
sage: K.<a> = GF(5**5, name='a', modulus=x^5 - x) Traceback (most recent call last): ... ValueError: finite field modulus must be irreducible but it is not
You can't accidentally fool the constructor into thinking the modulus is irreducible when it is not, since it actually tests irreducibility modulo `p`. Also, the modulus has to be of the right degree (this is always checked)::
sage: F.<x> = QQ[] sage: factor(x^5 + 2) x^5 + 2 sage: K.<a> = GF(5^5, modulus=x^5 + 2) Traceback (most recent call last): ... ValueError: finite field modulus must be irreducible but it is not sage: K.<a> = GF(5^5, modulus=x^3 + 3*x + 3, check_irreducible=False) Traceback (most recent call last): ... ValueError: the degree of the modulus does not equal the degree of the field
Any type which can be converted to the polynomial ring `GF(p)[x]` is accepted as modulus::
sage: K.<a> = GF(13^3, modulus=[1,0,0,2]) sage: K.<a> = GF(13^10, modulus=pari("ffinit(13,10)")) sage: var('x') x sage: K.<a> = GF(13^2, modulus=x^2 - 2) sage: K.<a> = GF(13^2, modulus=sin(x)) Traceback (most recent call last): ... TypeError: unable to convert sin(x) to an integer
If you wish to live dangerously, you can tell the constructor not to test irreducibility using ``check_irreducible=False``, but this can easily lead to crashes and hangs -- so do not do it unless you know that the modulus really is irreducible!
::
sage: K.<a> = GF(5**2, name='a', modulus=x^2 + 2, check_irreducible=False)
Even for prime fields, you can specify a modulus. This will not change how Sage computes in this field, but it will change the result of the :meth:`modulus` and :meth:`gen` methods::
sage: k.<a> = GF(5, modulus="primitive") sage: k.modulus() x + 3 sage: a 2
The order of a finite field must be a prime power::
sage: GF(1) Traceback (most recent call last): ... ValueError: the order of a finite field must be at least 2 sage: GF(100) Traceback (most recent call last): ... ValueError: the order of a finite field must be a prime power
Finite fields with explicit random modulus are not cached::
sage: k.<a> = GF(5**10, modulus='random') sage: n.<a> = GF(5**10, modulus='random') sage: n is k False sage: GF(5**10, 'a') is GF(5**10, 'a') True
We check that various ways of creating the same finite field yield the same object, which is cached::
sage: K = GF(7, 'a') sage: L = GF(7, 'b') sage: K is L # name is ignored for prime fields True sage: K is GF(7, modulus=K.modulus()) True sage: K = GF(4,'a'); K.modulus() x^2 + x + 1 sage: L = GF(4,'a', K.modulus()) sage: K is L True sage: M = GF(4,'a', K.modulus().change_variable_name('y')) sage: K is M True
You may print finite field elements as integers. This currently only works if the order of field is `<2^{16}`, though::
sage: k.<a> = GF(2^8, repr='int') sage: a 2
The following demonstrate coercions for finite fields using Conway polynomials::
sage: k = GF(5^2); a = k.gen() sage: l = GF(5^5); b = l.gen() sage: a + b 3*z10^5 + z10^4 + z10^2 + 3*z10 + 1
Note that embeddings are compatible in lattices of such finite fields::
sage: m = GF(5^3); c = m.gen() sage: (a+b)+c == a+(b+c) True sage: (a*b)*c == a*(b*c) True sage: from sage.categories.pushout import pushout sage: n = pushout(k, l) sage: o = pushout(l, m) sage: q = pushout(n, o) sage: q(o(b)) == q(n(b)) True
Another check that embeddings are defined properly::
sage: k = GF(3**10) sage: l = GF(3**20) sage: l(k.gen()**10) == l(k.gen())**10 True
Using pseudo-Conway polynomials is slow for highly composite extension degrees::
sage: k = GF(3^120) # long time -- about 3 seconds sage: GF(3^40).gen().minimal_polynomial()(k.gen()^((3^120-1)/(3^40-1))) # long time because of previous line 0
Before :trac:`17569`, the boolean keyword argument ``conway`` was required when creating finite fields without a variable name. This keyword argument is now removed (:trac:`21433`). You can still pass in ``prefix`` as an argument, which has the effect of changing the variable name of the algebraic closure::
sage: K = GF(3^10, prefix='w'); L = GF(3^10); K is L False sage: K.variable_name(), L.variable_name() ('w10', 'z10') sage: list(K.polynomial()) == list(L.polynomial()) True
TESTS::
Check that :trac:`16934` has been fixed::
sage: k1.<a> = GF(17^14, impl="pari") sage: _ = a/2 sage: k2.<a> = GF(17^14, impl="pari") sage: k1 is k2 True
Check that :trac:`21433` has been fixed::
sage: K = GF(5^2) sage: L = GF(5^4) sage: from sage.categories.pushout import pushout sage: pushout(K,L) is L True
""" def create_key_and_extra_args(self, order, name=None, modulus=None, names=None, impl=None, proof=None, check_irreducible=True, prefix=None, repr=None, elem_cache=None, structure=None): """ EXAMPLES::
sage: GF.create_key_and_extra_args(9, 'a') ((9, ('a',), x^2 + 2*x + 2, 'givaro', 3, 2, True, None, 'poly', True), {})
We do not take invalid keyword arguments and raise a value error to better ensure uniqueness::
sage: GF.create_key_and_extra_args(9, 'a', foo='value') Traceback (most recent call last): ... TypeError: create_key_and_extra_args() got an unexpected keyword argument 'foo'
Moreover, ``repr`` and ``elem_cache`` are ignored when not using givaro::
sage: GF.create_key_and_extra_args(16, 'a', impl='ntl', repr='poly') ((16, ('a',), x^4 + x + 1, 'ntl', 2, 4, True, None, None, None), {}) sage: GF.create_key_and_extra_args(16, 'a', impl='ntl', elem_cache=False) ((16, ('a',), x^4 + x + 1, 'ntl', 2, 4, True, None, None, None), {}) sage: GF(16, impl='ntl') is GF(16, impl='ntl', repr='foo') True
We handle extra arguments for the givaro finite field and create unique objects for their defaults::
sage: GF(25, impl='givaro') is GF(25, impl='givaro', repr='poly') True sage: GF(25, impl='givaro') is GF(25, impl='givaro', elem_cache=True) True sage: GF(625, impl='givaro') is GF(625, impl='givaro', elem_cache=False) True
We explicitly take a ``structure`` attribute for compatibility with :class:`~sage.categories.pushout.AlgebraicExtensionFunctor` but we ignore it as it is not used, see :trac:`21433`::
sage: GF.create_key_and_extra_args(9, 'a', structure=None) ((9, ('a',), x^2 + 2*x + 2, 'givaro', 3, 2, True, None, 'poly', True), {}) """
# Every polynomial of degree 1 is irreducible
raise ValueError("no modulus may be specified if variable name not given") # Fpbar will have a strong reference, since algebraic_closure caches its results, # and the coefficients of modulus lie in GF(p) # This will give a Conway polynomial if p,n is small enough to be in the database # and a pseudo-Conway polynomial if it's not.
else: else:
# Determine modulus. # For the 'modn' implementation, we use the following # optimization which we also need to avoid an infinite loop: # a modulus of None is a shorthand for x-1. # A string specifies an algorithm to find a suitable modulus. else:
# If modulus is x - 1 for impl="modn", set it to None
# Check extra arguments for givaro and setup their defaults # TODO: ntl takes a repr, but ignores it else: # This has the effect of ignoring these keywords
def create_object(self, version, key, **kwds): """ EXAMPLES::
sage: K = GF(19) # indirect doctest sage: TestSuite(K).run()
We try to create finite fields with various implementations::
sage: k = GF(2, impl='modn') sage: k = GF(2, impl='givaro') sage: k = GF(2, impl='ntl') sage: k = GF(2, impl='pari') Traceback (most recent call last): ... ValueError: the degree must be at least 2 sage: k = GF(2, impl='supercalifragilisticexpialidocious') Traceback (most recent call last): ... ValueError: no such finite field implementation: 'supercalifragilisticexpialidocious' sage: k.<a> = GF(2^15, impl='modn') Traceback (most recent call last): ... ValueError: the 'modn' implementation requires a prime order sage: k.<a> = GF(2^15, impl='givaro') sage: k.<a> = GF(2^15, impl='ntl') sage: k.<a> = GF(2^15, impl='pari') sage: k.<a> = GF(3^60, impl='modn') Traceback (most recent call last): ... ValueError: the 'modn' implementation requires a prime order sage: k.<a> = GF(3^60, impl='givaro') Traceback (most recent call last): ... ValueError: q must be < 2^16 sage: k.<a> = GF(3^60, impl='ntl') Traceback (most recent call last): ... ValueError: q must be a 2-power sage: k.<a> = GF(3^60, impl='pari') """ # IMPORTANT! If you add a new class to the list of classes # that get cached by this factor object, then you *must* add # the following method to that class in order to fully support # pickling: # # def __reduce__(self): # and include good doctests, please! # return self._factory_data[0].reduce_data(self) # # This is not in the base class for finite fields, since some finite # fields need not be created using this factory object, e.g., residue # class fields.
# for backward compatibility of pickles (see trac 10975). order, name, modulus, impl, _ = key p, n = Integer(order).factor()[0] proof = True prefix = kwds.get('prefix', None) # We can set the defaults here to be those for givaro # as they are otherwise ignored repr = 'poly' elem_cache = (order < 500) # For backward compatibility of pickles (see trac #21433) # We can set the defaults here to be those for givaro # as they are otherwise ignored else:
# Using a check option here is probably a worthwhile # compromise since this constructor is simple and used a # huge amount. else: # We have to do this with block so that the finite field # constructors below will use the proof flag that was # passed in when checking for primality, factoring, etc. # Otherwise, we would have to complicate all of their # constructors with check options. else:
# Temporary; see create_key_and_extra_args() above.
GF = FiniteField = FiniteFieldFactory("FiniteField")
def is_PrimeFiniteField(x): """ Returns True if x is a prime finite field.
EXAMPLES::
sage: from sage.rings.finite_rings.finite_field_constructor import is_PrimeFiniteField sage: is_PrimeFiniteField(QQ) False sage: is_PrimeFiniteField(GF(7)) True sage: is_PrimeFiniteField(GF(7^2,'a')) False sage: is_PrimeFiniteField(GF(next_prime(10^90,proof=False))) True """
(isinstance(x, FiniteField_generic) and x.degree() == 1)
zech_log_bound = 2**16 |