X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Fcone%2Fcone.py;h=f5371d6d803cdbc97fe4ba41cb26f0ee691f1a2a;hb=4418c497a443fb1f5cb068ced5a2ddd5a9a0ad05;hp=87cdf704580e68b55fa72cd93b8dfa6c1d08a484;hpb=0bdf2bb8ca97eeb065e7dd3c36bdac6879a52116;p=sage.d.git diff --git a/mjo/cone/cone.py b/mjo/cone/cone.py index 87cdf70..f5371d6 100644 --- a/mjo/cone/cone.py +++ b/mjo/cone/cone.py @@ -8,6 +8,26 @@ addsitedir(abspath('../../')) from sage.all import * +def drop_dependent(vs): + r""" + Return the largest linearly-independent subset of ``vs``. + """ + if len(vs) == 0: + # ...for lazy enough definitions of linearly-independent + return vs + + result = [] + old_V = VectorSpace(vs[0].parent().base_field(), 0) + + for v in vs: + new_V = span(result + [v]) + if new_V.dimension() > old_V.dimension(): + result.append(v) + old_V = new_V + + return result + + def basically_the_same(K1,K2): r""" ``True`` if ``K1`` and ``K2`` are basically the same, and ``False`` @@ -56,7 +76,7 @@ def iso_space(K): # Create the space W \times W^{\perp} isomorphic to V. # First we get an orthogonal (but not normal) basis... M = matrix(V.base_field(), K.rays()) - W_basis,_ = M.gram_schmidt() + W_basis = drop_dependent(K.rays()) W = V.subspace_with_basis(W_basis) W_perp = W.complement() @@ -388,100 +408,6 @@ def lineality(K): return K.linear_subspace().dimension() -def codim(K): - r""" - Compute the codimension of this cone. - - The codimension of a cone is the dimension of the space of all - elements perpendicular to every element of the cone. In other words, - the codimension is the difference between the dimension of the - ambient space and the dimension of the cone itself. - - OUTPUT: - - A nonnegative integer representing the dimension of the space of all - elements perpendicular to this cone. - - .. seealso:: - - :meth:`dim`, :meth:`lattice_dim` - - EXAMPLES: - - The codimension of the nonnegative orthant is zero, since the span of - its generators equals the entire ambient space:: - - sage: K = Cone([(1,0,0), (0,1,0), (0,0,1)]) - sage: codim(K) - 0 - - However, if we remove a ray so that the entire cone is contained - within the `x-y`-plane, then the resulting cone will have - codimension one, because the `z`-axis is perpendicular to every - element of the cone:: - - sage: K = Cone([(1,0,0), (0,1,0)]) - sage: codim(K) - 1 - - If our cone is all of `\mathbb{R}^{2}`, then its codimension is zero:: - - sage: K = Cone([(1,0), (-1,0), (0,1), (0,-1)]) - sage: codim(K) - 0 - - And if the cone is trivial in any space, then its codimension is - equal to the dimension of the ambient space:: - - sage: K = Cone([], lattice=ToricLattice(0)) - sage: K.lattice_dim() - 0 - sage: codim(K) - 0 - - sage: K = Cone([(0,)]) - sage: K.lattice_dim() - 1 - sage: codim(K) - 1 - - sage: K = Cone([(0,0)]) - sage: K.lattice_dim() - 2 - sage: codim(K) - 2 - - TESTS: - - The codimension of a cone should be an integer between zero and - the dimension of the ambient space, inclusive:: - - sage: set_random_seed() - sage: K = random_cone(max_dim = 8) - sage: c = codim(K) - sage: c in ZZ - True - sage: (0 <= c) and (c <= K.lattice_dim()) - True - - A solid cone should have codimension zero:: - - sage: set_random_seed() - sage: K = random_cone(max_dim = 8, solid = True) - sage: codim(K) - 0 - - The codimension of a cone is equal to the lineality of its dual:: - - sage: set_random_seed() - sage: K = random_cone(max_dim = 8, solid = True) - sage: codim(K) == lineality(K.dual()) - True - - """ - return (K.lattice_dim() - K.dim()) - - def discrete_complementarity_set(K): r""" Compute the discrete complementarity set of this cone.