if K1.is_strictly_convex() != K2.is_strictly_convex():
return False
- if len(K1.LL()) != len(K2.LL()):
+ if len(K1.lyapunov_like_basis()) != len(K2.lyapunov_like_basis()):
return False
C_of_K1 = K1.discrete_complementarity_set()
def lyapunov_rank(K):
r"""
- Compute the Lyapunov rank (or bilinearity rank) of this cone.
+ Compute the Lyapunov rank of this cone.
- The Lyapunov rank of a cone can be thought of in (mainly) two ways:
-
- 1. The dimension of the Lie algebra of the automorphism group of the
- cone.
-
- 2. The dimension of the linear space of all Lyapunov-like
- transformations on the cone.
-
- INPUT:
-
- A closed, convex polyhedral cone.
+ The Lyapunov rank of a cone is the dimension of the space of its
+ Lyapunov-like transformations -- that is, the length of a
+ :meth:`lyapunov_like_basis`. Equivalently, the Lyapunov rank is the
+ dimension of the Lie algebra of the automorphism group of the cone.
OUTPUT:
- An integer representing the Lyapunov rank of the cone. If the
- dimension of the ambient vector space is `n`, then the Lyapunov rank
- will be between `1` and `n` inclusive; however a rank of `n-1` is
- not possible (see [Orlitzky/Gowda]_).
+ A nonnegative integer representing the Lyapunov rank of this cone.
+
+ If the ambient space is trivial, the Lyapunov rank will be zero.
+ Otherwise, if the dimension of the ambient vector space is `n`, then
+ the resulting Lyapunov rank will be between `1` and `n` inclusive. A
+ Lyapunov rank of `n-1` is not possible [Orlitzky]_.
ALGORITHM:
REFERENCES:
- .. [Gowda/Tao] M.S. Gowda and J. Tao. On the bilinearity rank of a proper
- cone and Lyapunov-like transformations, Mathematical Programming, 147
- (2014) 155-170.
+ .. [Gowda/Tao] M.S. Gowda and J. Tao. On the bilinearity rank of
+ a proper cone and Lyapunov-like transformations. Mathematical
+ Programming, 147 (2014) 155-170.
- .. [Orlitzky/Gowda] M. Orlitzky and M. S. Gowda. The Lyapunov Rank of an
- Improper Cone. Work in-progress.
+ M. Orlitzky. The Lyapunov rank of an improper cone.
+ http://www.optimization-online.org/DB_HTML/2015/10/5135.html
- .. [Rudolf et al.] G. Rudolf, N. Noyan, D. Papp, and F. Alizadeh, Bilinear
- optimality constraints for the cone of positive polynomials,
- Mathematical Programming, Series B, 129 (2011) 5-31.
+ G. Rudolf, N. Noyan, D. Papp, and F. Alizadeh, Bilinear
+ optimality constraints for the cone of positive polynomials,
+ Mathematical Programming, Series B, 129 (2011) 5-31.
EXAMPLES:
The nonnegative orthant in `\mathbb{R}^{n}` always has rank `n`
- [Rudolf et al.]_::
+ [Rudolf]_::
sage: positives = Cone([(1,)])
sage: lyapunov_rank(positives)
3
The full space `\mathbb{R}^{n}` has Lyapunov rank `n^{2}`
- [Orlitzky/Gowda]_::
+ [Orlitzky]_::
sage: R5 = VectorSpace(QQ, 5)
sage: gs = R5.basis() + [ -r for r in R5.basis() ]
25
The `L^{3}_{1}` cone is known to have a Lyapunov rank of one
- [Rudolf et al.]_::
+ [Rudolf]_::
sage: L31 = Cone([(1,0,1), (0,-1,1), (-1,0,1), (0,1,1)])
sage: lyapunov_rank(L31)
1
- Likewise for the `L^{3}_{\infty}` cone [Rudolf et al.]_::
+ Likewise for the `L^{3}_{\infty}` cone [Rudolf]_::
sage: L3infty = Cone([(0,1,1), (1,0,1), (0,-1,1), (-1,0,1)])
sage: lyapunov_rank(L3infty)
1
A single ray in `n` dimensions should have Lyapunov rank `n^{2} - n
- + 1` [Orlitzky/Gowda]_::
+ + 1` [Orlitzky]_::
sage: K = Cone([(1,0,0,0,0)])
sage: lyapunov_rank(K)
21
A subspace (of dimension `m`) in `n` dimensions should have a
- Lyapunov rank of `n^{2} - m\left(n - m)` [Orlitzky/Gowda]_::
+ Lyapunov rank of `n^{2} - m\left(n - m)` [Orlitzky]_::
sage: e1 = (1,0,0,0,0)
sage: neg_e1 = (-1,0,0,0,0)
19
The Lyapunov rank should be additive on a product of proper cones
- [Rudolf et al.]_::
+ [Rudolf]_::
sage: L31 = Cone([(1,0,1), (0,-1,1), (-1,0,1), (0,1,1)])
sage: octant = Cone([(1,0,0), (0,1,0), (0,0,1)])
sage: lyapunov_rank(K) == lyapunov_rank(L31) + lyapunov_rank(octant)
True
- Two isomorphic cones should have the same Lyapunov rank [Rudolf et al.]_.
+ Two isomorphic cones should have the same Lyapunov rank [Rudolf]_.
The cone ``K`` in the following example is isomorphic to the nonnegative
octant in `\mathbb{R}^{3}`::
3
The dual cone `K^{*}` of ``K`` should have the same Lyapunov rank as ``K``
- itself [Rudolf et al.]_::
+ itself [Rudolf]_::
sage: K = Cone([(2,2,4), (-1,9,0), (2,0,6)])
sage: lyapunov_rank(K) == lyapunov_rank(K.dual())
TESTS:
The Lyapunov rank should be additive on a product of proper cones
- [Rudolf et al.]_::
+ [Rudolf]_::
sage: set_random_seed()
sage: K1 = random_cone(max_ambient_dim=8,
True
The Lyapunov rank is invariant under a linear isomorphism
- [Orlitzky/Gowda]_::
+ [Orlitzky]_::
sage: K1 = random_cone(max_ambient_dim = 8)
sage: A = random_matrix(QQ, K1.lattice_dim(), algorithm='unimodular')
True
The dual cone `K^{*}` of ``K`` should have the same Lyapunov rank as ``K``
- itself [Rudolf et al.]_::
+ itself [Rudolf]_::
sage: set_random_seed()
sage: K = random_cone(max_ambient_dim=8)
sage: b == n-1
False
- In fact [Orlitzky/Gowda]_, no closed convex polyhedral cone can have
+ In fact [Orlitzky]_, no closed convex polyhedral cone can have
Lyapunov rank `n-1` in `n` dimensions::
sage: set_random_seed()
False
The calculation of the Lyapunov rank of an improper cone can be
- reduced to that of a proper cone [Orlitzky/Gowda]_::
+ reduced to that of a proper cone [Orlitzky]_::
sage: set_random_seed()
sage: K = random_cone(max_ambient_dim=8)
sage: actual == expected
True
- The Lyapunov rank of any cone is just the dimension of ``K.LL()``::
+ The Lyapunov rank of a cone is the size of a :meth:`lyapunov_like_basis`::
sage: set_random_seed()
sage: K = random_cone(max_ambient_dim=8)
- sage: lyapunov_rank(K) == len(K.LL())
+ sage: lyapunov_rank(K) == len(K.lyapunov_like_basis())
True
We can make an imperfect cone perfect by adding a slack variable
- (a Theorem in [Orlitzky/Gowda]_)::
+ (a Theorem in [Orlitzky]_)::
sage: set_random_seed()
sage: K = random_cone(max_ambient_dim=8,
True
"""
- beta = 0
+ beta = 0 # running tally of the Lyapunov rank
m = K.dim()
n = K.lattice_dim()
# Non-pointed reduction lemma.
beta += l * m
- beta += len(K.LL())
+ beta += len(K.lyapunov_like_basis())
return beta
REFERENCES:
- .. [Orlitzky] M. Orlitzky. The Lyapunov rank of an
- improper cone (preprint).
+ M. Orlitzky. The Lyapunov rank of an improper cone.
+ http://www.optimization-online.org/DB_HTML/2015/10/5135.html
EXAMPLES:
sage: is_lyapunov_like(L,K)
True
- Everything in ``K.LL()`` should be Lyapunov-like on ``K``::
+ Everything in ``K.lyapunov_like_basis()`` should be Lyapunov-like
+ on ``K``::
sage: K = random_cone(min_ambient_dim = 1, max_rays = 5)
- sage: all([is_lyapunov_like(L,K) for L in K.LL()])
+ sage: all([ is_lyapunov_like(L,K) for L in K.lyapunov_like_basis() ])
True
"""
sage: K = Cone([(1,0),(-1,0),(0,1),(0,-1)])
sage: K.is_full_space()
True
- sage: llvs = span([ vector(l.list()) for l in K.LL() ])
- sage: zvs = span([ vector(z.list()) for z in Z_transformations(K) ])
- sage: zvs == llvs
+ sage: lls = span([ vector(l.list()) for l in K.lyapunov_like_basis() ])
+ sage: zs = span([ vector(z.list()) for z in Z_transformations(K) ])
+ sage: zs == lls
True
TESTS:
sage: set_random_seed()
sage: K = random_cone(min_ambient_dim = 1, max_ambient_dim = 6)
- sage: llvs = span([ vector(l.list()) for l in K.LL() ])
+ sage: lls = span([ vector(l.list()) for l in K.lyapunov_like_basis() ])
sage: z_cone = Cone([ z.list() for z in Z_transformations(K) ])
- sage: z_cone.linear_subspace() == llvs
+ sage: z_cone.linear_subspace() == lls
True
"""
projects / sage.d.git / blobdiff