what can be supported in a general Jordan Algebra.
"""
-from sage.all import *
+
from sage.algebras.finite_dimensional_algebras.finite_dimensional_algebra import FiniteDimensionalAlgebra
from sage.algebras.finite_dimensional_algebras.finite_dimensional_algebra_element import FiniteDimensionalAlgebraElement
+from sage.algebras.quatalg.quaternion_algebra import QuaternionAlgebra
from sage.categories.finite_dimensional_algebras_with_basis import FiniteDimensionalAlgebrasWithBasis
+from sage.functions.other import sqrt
+from sage.matrix.constructor import matrix
+from sage.misc.cachefunc import cached_method
+from sage.misc.prandom import choice
+from sage.modules.free_module import VectorSpace
+from sage.modules.free_module_element import vector
+from sage.rings.integer_ring import ZZ
+from sage.rings.number_field.number_field import QuadraticField
+from sage.rings.polynomial.polynomial_ring_constructor import PolynomialRing
+from sage.rings.rational_field import QQ
from sage.structure.element import is_Matrix
from sage.structure.category_object import normalize_names
def _repr_(self):
"""
Return a string representation of ``self``.
+
+ SETUP::
+
+ sage: from mjo.eja.eja_algebra import JordanSpinEJA
+
+ TESTS:
+
+ Ensure that it says what we think it says::
+
+ sage: JordanSpinEJA(2, field=QQ)
+ Euclidean Jordan algebra of degree 2 over Rational Field
+ sage: JordanSpinEJA(3, field=RDF)
+ Euclidean Jordan algebra of degree 3 over Real Double Field
+
"""
fmt = "Euclidean Jordan algebra of degree {} over {}"
return fmt.format(self.degree(), self.base_ring())
"""
Guess a regular element. Needed to compute the basis for our
characteristic polynomial coefficients.
+
+ SETUP::
+
+ sage: from mjo.eja.eja_algebra import random_eja
+
+ TESTS:
+
+ Ensure that this hacky method succeeds for every algebra that we
+ know how to construct::
+
+ sage: set_random_seed()
+ sage: J = random_eja()
+ sage: J._a_regular_element().is_regular()
+ True
+
"""
gs = self.gens()
z = self.sum( (i+1)*gs[i] for i in range(len(gs)) )
self._multiplication_table,
rank=r)
- idmat = identity_matrix(J.base_ring(), n)
+ idmat = matrix.identity(J.base_ring(), n)
W = self._charpoly_basis_space()
W = W.change_ring(R.fraction_field())
# We want the middle equivalent thing in our matrix, but use
# the first equivalent thing instead so that we can pass in
# standard coordinates.
- x = J(vector(R, R.gens()))
- l1 = [column_matrix(W.coordinates((x**k).vector())) for k in range(r)]
+ x = J(W(R.gens()))
+ l1 = [matrix.column(W.coordinates((x**k).vector())) for k in range(r)]
l2 = [idmat.column(k-1).column() for k in range(r+1, n+1)]
- A_of_x = block_matrix(R, 1, n, (l1 + l2))
+ A_of_x = matrix.block(R, 1, n, (l1 + l2))
xr = W.coordinates((x**r).vector())
return (A_of_x, x, xr, A_of_x.det())
@cached_method
def characteristic_polynomial(self):
"""
+ Return a characteristic polynomial that works for all elements
+ of this algebra.
- .. WARNING::
-
- This implementation doesn't guarantee that the polynomial
- denominator in the coefficients is not identically zero, so
- theoretically it could crash. The way that this is handled
- in e.g. Faraut and Koranyi is to use a basis that guarantees
- the denominator is non-zero. But, doing so requires knowledge
- of at least one regular element, and we don't even know how
- to do that. The trade-off is that, if we use the standard basis,
- the resulting polynomial will accept the "usual" coordinates. In
- other words, we don't have to do a change of basis before e.g.
- computing the trace or determinant.
+ The resulting polynomial has `n+1` variables, where `n` is the
+ dimension of this algebra. The first `n` variables correspond to
+ the coordinates of an algebra element: when evaluated at the
+ coordinates of an algebra element with respect to a certain
+ basis, the result is a univariate polynomial (in the one
+ remaining variable ``t``), namely the characteristic polynomial
+ of that element.
SETUP::
The identity in `S^n` is converted to the identity in the EJA::
sage: J = RealSymmetricEJA(3)
- sage: I = identity_matrix(QQ,3)
+ sage: I = matrix.identity(QQ,3)
sage: J(I) == J.one()
True
sage: A = matrix(QQ, 1, [x_vec.inner_product(x_vec)])
sage: B = 2*x0*x_bar.row()
sage: C = 2*x0*x_bar.column()
- sage: D = identity_matrix(QQ, n-1)
+ sage: D = matrix.identity(QQ, n-1)
sage: D = (x0^2 - x_bar.inner_product(x_bar))*D
sage: D = D + 2*x_bar.tensor_product(x_bar)
- sage: Q = block_matrix(2,2,[A,B,C,D])
+ sage: Q = matrix.block(2,2,[A,B,C,D])
sage: Q == x.quadratic_representation().matrix()
True
blocks.append(matrix(field, 2, [[a,b],[-b,a]]))
# We can drop the imaginaries here.
- return block_matrix(field.base_ring(), n, blocks)
+ return matrix.block(field.base_ring(), n, blocks)
def _unembed_complex_matrix(M):
# We should have real entries by now, so use the realest field
# we've got for the return value.
- return block_matrix(quaternions.base_ring(), n, blocks)
+ return matrix.block(quaternions.base_ring(), n, blocks)
def _unembed_quaternion_matrix(M):
@staticmethod
def __classcall_private__(cls, n, field=QQ):
Qs = []
- id_matrix = identity_matrix(field, n)
+ id_matrix = matrix.identity(field, n)
for i in xrange(n):
ei = id_matrix.column(i)
- Qi = zero_matrix(field, n)
+ Qi = matrix.zero(field, n)
Qi.set_row(0, ei)
Qi.set_column(0, ei)
- Qi += diagonal_matrix(n, [ei[0]]*n)
+ Qi += matrix.diagonal(n, [ei[0]]*n)
# The addition of the diagonal matrix adds an extra ei[0] in the
# upper-left corner of the matrix.
Qi[0,0] = Qi[0,0] * ~field(2)
projects / sage.d.git / blobdiff