X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Fcone%2Fschur.py;h=edf282da30794fc33b246485e27d3b378817d03f;hb=bccb4975e8bc21ddb5f726a68f2497477df97df9;hp=fd806d93eb6380574c69cabe5471dc938b7aebe6;hpb=a6b746e90c7710c76de9a559258f4769f0111279;p=sage.d.git diff --git a/mjo/cone/schur.py b/mjo/cone/schur.py index fd806d9..edf282d 100644 --- a/mjo/cone/schur.py +++ b/mjo/cone/schur.py @@ -5,20 +5,39 @@ Iusem, Seeger, and Sossa. It defines the Schur ordering on `R^{n}`. from sage.all import * -def schur_cone(n): +def schur_cone(n, lattice=None): r""" - Return the Schur cone in ``n`` dimensions. + Return the Schur cone in ``n`` dimensions that induces the + majorization ordering. INPUT: - - ``n`` -- the dimension the ambient space. + - ``n`` -- the dimension the ambient space. + + - ``lattice`` -- (default: ``None``) an ambient lattice of rank ``n`` + to be passed to the :func:`Cone` constructor. OUTPUT: - A rational closed convex Schur cone of dimension ``n``. + A rational closed convex Schur cone of dimension ``n``. Each + generating ray will have the integer ring as its base ring. + + If a ``lattice`` was specified, then the resulting cone will live in + that lattice unless its rank is incompatible with the dimension + ``n`` (in which case a ``ValueError`` is raised). REFERENCES: + .. [GourionSeeger] Daniel Gourion and Alberto Seeger. + Critical angles in polyhedral convex cones: numerical and + statistical considerations. Mathematical Programming, 123:173-198, + 2010, doi:10.1007/s10107-009-0317-2. + + .. [IusemSeegerOnPairs] Alfredo Iusem and Alberto Seeger. + On pairs of vectors achieving the maximal angle of a convex cone. + Mathematical Programming, 104(2-3):501-523, 2005, + doi:10.1007/s10107-005-0626-z. + .. [SeegerSossaI] Alberto Seeger and David Sossa. Critical angles between two convex cones I. General theory. TOP, 24(1):44-65, 2016, doi:10.1007/s11750-015-0375-y. @@ -35,13 +54,24 @@ def schur_cone(n): sage: P = schur_cone(5) sage: Q = nonnegative_orthant(5) - sage: G = [ g.change_ring(QQbar).normalized() for g in P ] - sage: H = [ h.change_ring(QQbar).normalized() for h in Q ] - sage: actual = max([arccos(u.inner_product(v)) for u in G for v in H]) + sage: G = ( g.change_ring(QQbar).normalized() for g in P ) + sage: H = ( h.change_ring(QQbar).normalized() for h in Q ) + sage: actual = max(arccos(u.inner_product(v)) for u in G for v in H) sage: expected = 3*pi/4 sage: abs(actual - expected).n() < 1e-12 True + The dual of the Schur cone is the "downward monotonic cone" + [GourionSeeger]_, whose elements' entries are in non-increasing + order:: + + sage: set_random_seed() + sage: n = ZZ.random_element(10) + sage: K = schur_cone(n).dual() + sage: x = K.random_element() + sage: all( x[i] >= x[i+1] for i in range(n-1) ) + True + TESTS: We get the trivial cone when ``n`` is zero:: @@ -49,7 +79,45 @@ def schur_cone(n): sage: schur_cone(0).is_trivial() True + The Schur cone induces the majorization ordering:: + + sage: set_random_seed() + sage: def majorized_by(x,y): + ....: return (all(sum(x[0:i]) <= sum(y[0:i]) + ....: for i in range(x.degree()-1)) + ....: and sum(x) == sum(y)) + sage: n = ZZ.random_element(10) + sage: V = VectorSpace(QQ, n) + sage: S = schur_cone(n) + sage: majorized_by(V.zero(), S.random_element()) + True + sage: x = V.random_element() + sage: y = V.random_element() + sage: majorized_by(x,y) == ( (y-x) in S ) + True + + If a ``lattice`` was given, it is actually used:: + + sage: L = ToricLattice(3, 'M') + sage: schur_cone(3, lattice=L) + 2-d cone in 3-d lattice M + + Unless the rank of the lattice disagrees with ``n``:: + + sage: L = ToricLattice(1, 'M') + sage: schur_cone(3, lattice=L) + Traceback (most recent call last): + ... + ValueError: lattice rank=1 and dimension n=3 are incompatible + """ + if lattice is None: + lattice = ToricLattice(n) + + if lattice.rank() != n: + raise ValueError('lattice rank=%d and dimension n=%d are incompatible' + % + (lattice.rank(), n)) def _f(i,j): if i == j: @@ -62,5 +130,4 @@ def schur_cone(n): # The "max" below catches the trivial case where n == 0. S = matrix(ZZ, max(0,n-1), n, _f) - # Likewise, when n == 0, we need to specify the lattice. - return Cone(S.rows(), ToricLattice(n)) + return Cone(S.rows(), lattice)