p-Adic ZZ_pX CA Element.

This file implements elements of eisenstein and unramified extensions of Zp with capped absolute precision.

For the parent class see padic_extension_leaves.pyx.

The underlying implementation is through NTL’s ZZ_pX class. Each element contains the following data:

  • absprec (long) – An integer giving the precision to which this element is defined. This is the power of the uniformizer modulo which the element is well defined.
  • value (ZZ_pX_c) – An ntl ZZ_pX storing the value. The variable x is the uniformizer in the case of eisenstein extensions. This ZZ_pX is created with global ntl modulus determined by absprec. Let a be absprec and e be the ramification index over \mathbb{Q}_p or \mathbb{Z}_p. Then the modulus is given by p^{ceil(a/e)}. Note that all kinds of problems arise if you try to mix moduli. ZZ_pX_conv_modulus gives a semi-safe way to convert between different moduli without having to pass through ZZX (see sage/libs/ntl/decl.pxi and c_lib/src/ntl_wrap.cpp)
  • prime_pow (some subclass of PowComputer_ZZ_pX) – a class, identical among all elements with the same parent, holding common data.
    • prime_pow.deg – The degree of the extension
    • prime_pow.e – The ramification index
    • prime_pow.f – The inertia degree
    • prime_pow.prec_cap – the unramified precision cap. For eisenstein extensions this is the smallest power of p that is zero.
    • prime_pow.ram_prec_cap – the ramified precision cap. For eisenstein extensions this will be the smallest power of x that is indistinguishable from zero.
    • prime_pow.pow_ZZ_tmp, prime_pow.pow_mpz_t_tmp``, prime_pow.pow_Integer – functions for accessing powers of p. The first two return pointers. See sage/rings/padics/pow_computer_ext for examples and important warnings.
    • prime_pow.get_context, prime_pow.get_context_capdiv, prime_pow.get_top_context – obtain an ntl_ZZ_pContext_class corresponding to p^n. The capdiv version divides by prime_pow.e as appropriate. top_context corresponds to p^{prec_cap}.
    • prime_pow.restore_context, prime_pow.restore_context_capdiv, prime_pow.restore_top_context – restores the given context.
    • prime_pow.get_modulus, get_modulus_capdiv, get_top_modulus – Returns a ZZ_pX_Modulus_c* pointing to a polynomial modulus defined modulo p^n (appropriately divided by prime_pow.e in the capdiv case).

EXAMPLES:

An eisenstein extension:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f); W
Eisenstein Extension of 5-adic Ring with capped absolute precision 5 in w defined by (1 + O(5^5))*x^5 + (3*5^2 + O(5^5))*x^3 + (2*5 + 4*5^2 + 4*5^3 + 4*5^4 + O(5^5))*x^2 + (5^3 + O(5^5))*x + (4*5 + 4*5^2 + 4*5^3 + 4*5^4 + O(5^5))
sage: z = (1+w)^5; z
1 + w^5 + w^6 + 2*w^7 + 4*w^8 + 3*w^10 + w^12 + 4*w^13 + 4*w^14 + 4*w^15 + 4*w^16 + 4*w^17 + 4*w^20 + w^21 + 4*w^24 + O(w^25)
sage: y = z >> 1; y
w^4 + w^5 + 2*w^6 + 4*w^7 + 3*w^9 + w^11 + 4*w^12 + 4*w^13 + 4*w^14 + 4*w^15 + 4*w^16 + 4*w^19 + w^20 + 4*w^23 + O(w^24)
sage: y.valuation()
4
sage: y.precision_relative()
20
sage: y.precision_absolute()
24
sage: z - (y << 1)
1 + O(w^25)
sage: (1/w)^12+w
w^-12 + w + O(w^12)
sage: (1/w).parent()
Eisenstein Extension of 5-adic Field with capped relative precision 5 in w defined by (1 + O(5^5))*x^5 + (O(5^6))*x^4 + (3*5^2 + O(5^6))*x^3 + (2*5 + 4*5^2 + 4*5^3 + 4*5^4 + 4*5^5 + O(5^6))*x^2 + (5^3 + O(5^6))*x + (4*5 + 4*5^2 + 4*5^3 + 4*5^4 + 4*5^5 + O(5^6))

An unramified extension:

sage: g = x^3 + 3*x + 3
sage: A.<a> = R.ext(g)
sage: z = (1+a)^5; z
(2*a^2 + 4*a) + (3*a^2 + 3*a + 1)*5 + (4*a^2 + 3*a + 4)*5^2 + (4*a^2 + 4*a + 4)*5^3 + (4*a^2 + 4*a + 4)*5^4 + O(5^5)
sage: z - 1 - 5*a - 10*a^2 - 10*a^3 - 5*a^4 - a^5
O(5^5)
sage: y = z >> 1; y
(3*a^2 + 3*a + 1) + (4*a^2 + 3*a + 4)*5 + (4*a^2 + 4*a + 4)*5^2 + (4*a^2 + 4*a + 4)*5^3 + O(5^4)
sage: 1/a
(3*a^2 + 4) + (a^2 + 4)*5 + (3*a^2 + 4)*5^2 + (a^2 + 4)*5^3 + (3*a^2 + 4)*5^4 + O(5^5)

Different printing modes:

sage: R = ZpCA(5, print_mode='digits'); S.<x> = ZZ[]; f = x^5 + 75*x^3 - 15*x^2 + 125*x -5; W.<w> = R.ext(f)
sage: z = (1+w)^5; repr(z)
'...4110403113210310442221311242000111011201102002023303214332011214403232013144001400444441030421100001'
sage: R = ZpCA(5, print_mode='bars'); S.<x> = ZZ[]; g = x^3 + 3*x + 3; A.<a> = R.ext(g)
sage: z = (1+a)^5; repr(z)
'...[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 4, 4]|[4, 3, 4]|[1, 3, 3]|[0, 4, 2]'
sage: R = ZpCA(5, print_mode='terse'); S.<x> = ZZ[]; f = x^5 + 75*x^3 - 15*x^2 + 125*x -5; W.<w> = R.ext(f)
sage: z = (1+w)^5; z
6 + 95367431640505*w + 25*w^2 + 95367431640560*w^3 + 5*w^4 + O(w^100)
sage: R = ZpCA(5, print_mode='val-unit'); S.<x> = ZZ[]; f = x^5 + 75*x^3 - 15*x^2 + 125*x -5; W.<w> = R.ext(f)
sage: y = (1+w)^5 - 1; y
w^5 * (2090041 + 19073486126901*w + 1258902*w^2 + 674*w^3 + 16785*w^4) + O(w^100)

You can get at the underlying ntl representation:

sage: z._ntl_rep()
[6 95367431640505 25 95367431640560 5]
sage: y._ntl_rep()
[5 95367431640505 25 95367431640560 5]
sage: y._ntl_rep_abs()
([5 95367431640505 25 95367431640560 5], 0)

NOTES:

If you get an error 'internal error: can't grow this
_ntl_gbigint,' it indicates that moduli are being mixed
inappropriately somewhere.

For example, when calling a function with a ZZ_pX_c as an
argument, it copies.  If the modulus is not set to the modulus of
the ZZ_pX_c, you can get errors.

AUTHORS:

  • David Roe (2008-01-01) initial version
sage.rings.padics.padic_ZZ_pX_CA_element.make_ZZpXCAElement(parent, value, absprec, version)

For pickling. Makes a pAdicZZpXCAElement with given parent, value, absprec.

EXAMPLES:

sage: from sage.rings.padics.padic_ZZ_pX_CA_element import make_ZZpXCAElement
sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: make_ZZpXCAElement(W, ntl.ZZ_pX([3,2,4],5^3),13,0)
3 + 2*w + 4*w^2 + O(w^13)
class sage.rings.padics.padic_ZZ_pX_CA_element.pAdicZZpXCAElement

Bases: sage.rings.padics.padic_ZZ_pX_element.pAdicZZpXElement

is_equal_to(right, absprec=None)

Returns whether self is equal to right modulo self.uniformizer()^absprec.

If absprec is None, returns if self is equal to right modulo the lower of their two precisions.

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: a = W(47); b = W(47 + 25)
sage: a.is_equal_to(b)
False
sage: a.is_equal_to(b, 7)
True
is_zero(absprec=None)

Returns whether the valuation of self is at least absprec. If absprec is None, returns if self is indistinguishable from zero.

If self is an inexact zero of valuation less than absprec, raises a PrecisionError.

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: O(w^189).is_zero()
True
sage: W(0).is_zero()
True
sage: a = W(675)
sage: a.is_zero()
False
sage: a.is_zero(7)
True
sage: a.is_zero(21)
False
lift_to_precision(absprec)

Returns a pAdicZZpXCAElement congruent to self but with absolute precision at least absprec. If setting absprec that high would violate the precision cap, raises a precision error.

Note that the new digits will not necessarily be zero.

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: a = W(345, 17); a
4*w^5 + 3*w^7 + w^9 + 3*w^10 + 2*w^11 + 4*w^12 + w^13 + 2*w^14 + 2*w^15 + O(w^17)
sage: b = a.lift_to_precision(19); b # indirect doctest
4*w^5 + 3*w^7 + w^9 + 3*w^10 + 2*w^11 + 4*w^12 + w^13 + 2*w^14 + 2*w^15 + w^17 + 2*w^18 + O(w^19)
sage: c = a.lift_to_precision(24); c
4*w^5 + 3*w^7 + w^9 + 3*w^10 + 2*w^11 + 4*w^12 + w^13 + 2*w^14 + 2*w^15 + w^17 + 2*w^18 + 4*w^19 + 4*w^20 + 2*w^21 + 4*w^23 + O(w^24)
sage: a._ntl_rep()
[345]
sage: b._ntl_rep()
[345]
sage: c._ntl_rep()
[345]
list(lift_mode='simple')

Returns a list giving a series representation of self.

  • If lift_mode == 'simple' or 'smallest', the returned list will consist of integers (in the eisenstein case) or a list of lists of integers (in the unramified case). self can be reconstructed as a sum of elements of the list times powers of the uniformiser (in the eisenstein case), or as a sum of powers of p times polynomials in the generator (in the unramified case).
    • If lift_mode == 'simple', all integers will be in the interval [0,p-1]
    • If lift_mod == 'smallest' they will be in the interval [(1-p)/2, p/2].
  • If lift_mode == 'teichmuller', returns a list of pAdicZZpXCAElements, all of which are Teichmuller representatives and such that self is the sum of that list times powers of the uniformizer.

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: y = W(775, 19); y
w^10 + 4*w^12 + 2*w^14 + w^15 + 2*w^16 + 4*w^17 + w^18 + O(w^19)
sage: (y>>9).list()
[0, 1, 0, 4, 0, 2, 1, 2, 4, 1]
sage: (y>>9).list('smallest')
[0, 1, 0, -1, 0, 2, 1, 2, 0, 1]
sage: w^10 - w^12 + 2*w^14 + w^15 + 2*w^16 + w^18 + O(w^19)
w^10 + 4*w^12 + 2*w^14 + w^15 + 2*w^16 + 4*w^17 + w^18 + O(w^19)
sage: g = x^3 + 3*x + 3
sage: A.<a> = R.ext(g)
sage: y = 75 + 45*a + 1200*a^2; y
4*a*5 + (3*a^2 + a + 3)*5^2 + 4*a^2*5^3 + a^2*5^4 + O(5^5)
sage: y.list()
[[], [0, 4], [3, 1, 3], [0, 0, 4], [0, 0, 1]]
sage: y.list('smallest')
[[], [0, -1], [-2, 2, -2], [1], [0, 0, 2]]
sage: 5*((-2*5 + 25) + (-1 + 2*5)*a + (-2*5 + 2*125)*a^2)
4*a*5 + (3*a^2 + a + 3)*5^2 + 4*a^2*5^3 + a^2*5^4 + O(5^5)
sage: W(0).list()
[0]
sage: A(0,4).list()
[[]]
matrix_mod_pn()

Returns the matrix of right multiplication by the element on the power basis 1, x, x^2, \ldots, x^{d-1} for this extension field. Thus the rows of this matrix give the images of each of the x^i. The entries of the matrices are IntegerMod elements, defined modulo p^(self.absprec() / e).

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: a = (3+w)^7
sage: a.matrix_mod_pn()
[2757  333 1068  725 2510]
[  50 1507  483  318  725]
[ 500   50 3007 2358  318]
[1590 1375 1695 1032 2358]
[2415  590 2370 2970 1032]
precision_absolute()

Returns the absolute precision of self, ie the power of the uniformizer modulo which this element is defined.

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: a = W(75, 19); a
3*w^10 + 2*w^12 + w^14 + w^16 + w^17 + 3*w^18 + O(w^19)
sage: a.valuation()
10
sage: a.precision_absolute()
19
sage: a.precision_relative()
9
sage: a.unit_part()
3 + 2*w^2 + w^4 + w^6 + w^7 + 3*w^8 + O(w^9)
precision_relative()

Returns the relative precision of self, ie the power of the uniformizer modulo which the unit part of self is defined.

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: a = W(75, 19); a
3*w^10 + 2*w^12 + w^14 + w^16 + w^17 + 3*w^18 + O(w^19)
sage: a.valuation()
10
sage: a.precision_absolute()
19
sage: a.precision_relative()
9
sage: a.unit_part()
3 + 2*w^2 + w^4 + w^6 + w^7 + 3*w^8 + O(w^9)
to_fraction_field()

Returns self cast into the fraction field of self.parent().

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: z = (1 + w)^5; z
1 + w^5 + w^6 + 2*w^7 + 4*w^8 + 3*w^10 + w^12 + 4*w^13 + 4*w^14 + 4*w^15 + 4*w^16 + 4*w^17 + 4*w^20 + w^21 + 4*w^24 + O(w^25)
sage: y = z.to_fraction_field(); y #indirect doctest
1 + w^5 + w^6 + 2*w^7 + 4*w^8 + 3*w^10 + w^12 + 4*w^13 + 4*w^14 + 4*w^15 + 4*w^16 + 4*w^17 + 4*w^20 + w^21 + 4*w^24 + O(w^25)
sage: y.parent()
Eisenstein Extension of 5-adic Field with capped relative precision 5 in w defined by (1 + O(5^5))*x^5 + (O(5^6))*x^4 + (3*5^2 + O(5^6))*x^3 + (2*5 + 4*5^2 + 4*5^3 + 4*5^4 + 4*5^5 + O(5^6))*x^2 + (5^3 + O(5^6))*x + (4*5 + 4*5^2 + 4*5^3 + 4*5^4 + 4*5^5 + O(5^6))
unit_part()

Returns the unit part of self, ie self / uniformizer^(self.valuation())

EXAMPLES:

sage: R = ZpCA(5,5)
sage: S.<x> = ZZ[]
sage: f = x^5 + 75*x^3 - 15*x^2 +125*x - 5
sage: W.<w> = R.ext(f)
sage: a = W(75, 19); a
3*w^10 + 2*w^12 + w^14 + w^16 + w^17 + 3*w^18 + O(w^19)
sage: a.valuation()
10
sage: a.precision_absolute()
19
sage: a.precision_relative()
9
sage: a.unit_part()
3 + 2*w^2 + w^4 + w^6 + w^7 + 3*w^8 + O(w^9)

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