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""" Isolate Complex Roots of Polynomials
AUTHOR:
- Carl Witty (2007-11-18): initial version
This is an implementation of complex root isolation. That is, given a polynomial with exact complex coefficients, we compute isolating intervals for the complex roots of the polynomial. (Polynomials with integer, rational, Gaussian rational, or algebraic coefficients are supported.)
We use a simple algorithm. First, we compute a squarefree decomposition of the input polynomial; the resulting polynomials have no multiple roots. Then, we find the roots numerically, using NumPy (at low precision) or Pari (at high precision). Then, we verify the roots using interval arithmetic.
EXAMPLES::
sage: x = polygen(ZZ) sage: (x^5 - x - 1).roots(ring=CIF) [(1.167303978261419?, 1), (-0.764884433600585? - 0.352471546031727?*I, 1), (-0.764884433600585? + 0.352471546031727?*I, 1), (0.181232444469876? - 1.083954101317711?*I, 1), (0.181232444469876? + 1.083954101317711?*I, 1)] """
#***************************************************************************** # Copyright (C) 2007 Carl Witty # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License 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/ #*****************************************************************************
from copy import copy
from sage.rings.complex_field import ComplexField from sage.rings.complex_interval_field import ComplexIntervalField from sage.rings.qqbar import AA, QQbar from sage.arith.all import sort_complex_numbers_for_display from sage.rings.polynomial.refine_root import refine_root
def interval_roots(p, rts, prec): """ We are given a squarefree polynomial p, a list of estimated roots, and a precision.
We attempt to verify that the estimated roots are in fact distinct roots of the polynomial, using interval arithmetic of precision prec. If we succeed, we return a list of intervals bounding the roots; if we fail, we return None.
EXAMPLES::
sage: x = polygen(ZZ) sage: p = x^3 - 1 sage: rts = [CC.zeta(3)^i for i in range(0, 3)] sage: from sage.rings.polynomial.complex_roots import interval_roots sage: interval_roots(p, rts, 53) [1, -0.500000000000000? + 0.866025403784439?*I, -0.500000000000000? - 0.866025403784439?*I] sage: interval_roots(p, rts, 200) [1, -0.500000000000000000000000000000000000000000000000000000000000? + 0.866025403784438646763723170752936183471402626905190314027904?*I, -0.500000000000000000000000000000000000000000000000000000000000? - 0.866025403784438646763723170752936183471402626905190314027904?*I] """
def intervals_disjoint(intvs): """ Given a list of complex intervals, check whether they are pairwise disjoint.
EXAMPLES::
sage: from sage.rings.polynomial.complex_roots import intervals_disjoint sage: a = CIF(RIF(0, 3), 0) sage: b = CIF(0, RIF(1, 3)) sage: c = CIF(RIF(1, 2), RIF(1, 2)) sage: d = CIF(RIF(2, 3), RIF(2, 3)) sage: intervals_disjoint([a,b,c,d]) False sage: d2 = CIF(RIF(2, 3), RIF(2.001, 3)) sage: intervals_disjoint([a,b,c,d2]) True """
# This may be quadratic in perverse cases, but will take only # n log(n) time in typical cases.
def complex_roots(p, skip_squarefree=False, retval='interval', min_prec=0): """ Compute the complex roots of a given polynomial with exact coefficients (integer, rational, Gaussian rational, and algebraic coefficients are supported). Returns a list of pairs of a root and its multiplicity.
Roots are returned as a ComplexIntervalFieldElement; each interval includes exactly one root, and the intervals are disjoint.
By default, the algorithm will do a squarefree decomposition to get squarefree polynomials. The skip_squarefree parameter lets you skip this step. (If this step is skipped, and the polynomial has a repeated root, then the algorithm will loop forever!)
You can specify retval='interval' (the default) to get roots as complex intervals. The other options are retval='algebraic' to get elements of QQbar, or retval='algebraic_real' to get only the real roots, and to get them as elements of AA.
EXAMPLES::
sage: from sage.rings.polynomial.complex_roots import complex_roots sage: x = polygen(ZZ) sage: complex_roots(x^5 - x - 1) [(1.167303978261419?, 1), (-0.764884433600585? - 0.352471546031727?*I, 1), (-0.764884433600585? + 0.352471546031727?*I, 1), (0.181232444469876? - 1.083954101317711?*I, 1), (0.181232444469876? + 1.083954101317711?*I, 1)] sage: v=complex_roots(x^2 + 27*x + 181)
Unfortunately due to numerical noise there can be a small imaginary part to each root depending on CPU, compiler, etc, and that affects the printing order. So we verify the real part of each root and check that the imaginary part is small in both cases::
sage: v # random [(-14.61803398874990?..., 1), (-12.3819660112501...? + 0.?e-27*I, 1)] sage: sorted((v[0][0].real(),v[1][0].real())) [-14.61803398874989?, -12.3819660112501...?] sage: v[0][0].imag() < 1e25 True sage: v[1][0].imag() < 1e25 True
sage: K.<im> = QuadraticField(-1) sage: eps = 1/2^100 sage: x = polygen(K) sage: p = (x-1)*(x-1-eps)*(x-1+eps)*(x-1-eps*im)*(x-1+eps*im)
This polynomial actually has all-real coefficients, and is very, very close to (x-1)^5::
sage: [RR(QQ(a)) for a in list(p - (x-1)^5)] [3.87259191484932e-121, -3.87259191484932e-121] sage: rts = complex_roots(p) sage: [ComplexIntervalField(10)(rt[0] - 1) for rt in rts] [-7.8887?e-31, 0, 7.8887?e-31, -7.8887?e-31*I, 7.8887?e-31*I]
We can get roots either as intervals, or as elements of QQbar or AA.
::
sage: p = (x^2 + x - 1) sage: p = p * p(x*im) sage: p -x^4 + (im - 1)*x^3 + im*x^2 + (-im - 1)*x + 1
Two of the roots have a zero real component; two have a zero imaginary component. These zero components will be found slightly inaccurately, and the exact values returned are very sensitive to the (non-portable) results of NumPy. So we post-process the roots for printing, to get predictable doctest results.
::
sage: def tiny(x): ....: return x.contains_zero() and x.absolute_diameter() < 1e-14 sage: def smash(x): ....: x = CIF(x[0]) # discard multiplicity ....: if tiny(x.imag()): return x.real() ....: if tiny(x.real()): return CIF(0, x.imag()) sage: rts = complex_roots(p); type(rts[0][0]), sorted(map(smash, rts)) (<type 'sage.rings.complex_interval.ComplexIntervalFieldElement'>, [-1.618033988749895?, -0.618033988749895?*I, 1.618033988749895?*I, 0.618033988749895?]) sage: rts = complex_roots(p, retval='algebraic'); type(rts[0][0]), sorted(map(smash, rts)) (<class 'sage.rings.qqbar.AlgebraicNumber'>, [-1.618033988749895?, -0.618033988749895?*I, 1.618033988749895?*I, 0.618033988749895?]) sage: rts = complex_roots(p, retval='algebraic_real'); type(rts[0][0]), rts (<class 'sage.rings.qqbar.AlgebraicReal'>, [(-1.618033988749895?, 1), (0.618033988749895?, 1)])
TESTS:
Verify that :trac:`12026` is fixed::
sage: f = matrix(QQ, 8, lambda i, j: 1/(i + j + 1)).charpoly() sage: from sage.rings.polynomial.complex_roots import complex_roots sage: len(complex_roots(f)) 8 """
factors = [(p, 1)] else:
# Make sure the number of roots we found is the degree. If # we don't find that many roots, it's because the # precision isn't big enough and though the (possibly # exact) polynomial "factor" is squarefree, it is not # squarefree as an element of CCX.
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