Base class for polyhedra over \(\ZZ\)

class sage.geometry.polyhedron.base_ZZ.Polyhedron_ZZ(parent, Vrep, Hrep, Vrep_minimal=None, Hrep_minimal=None, pref_rep=None, mutable=False, **kwds)[source]

Bases: Polyhedron_QQ

Base class for Polyhedra over \(\ZZ\).

ehrhart_polynomial(engine=None, variable='t', verbose=False, dual=None, irrational_primal=None, irrational_all_primal=None, maxdet=None, no_decomposition=None, compute_vertex_cones=None, smith_form=None, dualization=None, triangulation=None, triangulation_max_height=None, **kwds)[source]

Return the Ehrhart polynomial of this polyhedron.

Let \(P\) be a lattice polytope in \(\RR^d\) and define \(L(P,t) = \# (tP \cap \ZZ^d)\). Then E. Ehrhart proved in 1962 that \(L\) coincides with a rational polynomial of degree \(d\) for integer \(t\). \(L\) is called the Ehrhart polynomial of \(P\). For more information see the Wikipedia article Ehrhart_polynomial.

The Ehrhart polynomial may be computed using either LattE Integrale or Normaliz by setting engine to ‘latte’ or ‘normaliz’ respectively.

INPUT:

  • engine – string; the backend to use. Allowed values are:

    • None (default); When no input is given the Ehrhart polynomial is computed using LattE Integrale (optional)

    • 'latte'; use LattE integrale program (optional)

    • 'normaliz'; use Normaliz program (optional). The backend of self must be set to ‘normaliz’.

  • variable – string (default: 't'); the variable in which the Ehrhart polynomial should be expressed

  • When the engine is ‘latte’ or None, the additional input values are:

    • verbose – boolean (default: False); if True, print the whole output of the LattE command.

    The following options are passed to the LattE command, for details consult the LattE documentation:

    • dual – boolean; triangulate and signed-decompose in the dual space

    • irrational_primal – boolean; triangulate in the dual space, signed-decompose in the primal space using irrationalization.

    • irrational_all_primal – boolean; triangulate and signed-decompose in the primal space using irrationalization.

    • maxdet – integer; decompose down to an index (determinant) of maxdet instead of index 1 (unimodular cones).

    • no_decomposition – boolean; do not signed-decompose simplicial cones.

    • compute_vertex_cones – string; either ‘cdd’ or ‘lrs’ or ‘4ti2’

    • smith_form – string; either ‘ilio’ or ‘lidia’

    • dualization – string; either ‘cdd’ or ‘4ti2’

    • triangulation – string; ‘cddlib’, ‘4ti2’ or ‘topcom’

    • triangulation_max_height – integer; use a uniform distribution of height from 1 to this number

OUTPUT:

The Ehrhart polynomial as a univariate polynomial in variable over a rational field.

See also

latte the interface to LattE Integrale PyNormaliz

EXAMPLES:

To start, we find the Ehrhart polynomial of a three-dimensional simplex, first using engine='latte'. Leaving the engine unspecified sets the engine to ‘latte’ by default:

sage: simplex = Polyhedron(vertices=[(0,0,0),(3,3,3),(-3,2,1),(1,-1,-2)])
sage: poly = simplex.ehrhart_polynomial(engine = 'latte')  # optional - latte_int
sage: poly                                                 # optional - latte_int
7/2*t^3 + 2*t^2 - 1/2*t + 1
sage: poly(1)                                              # optional - latte_int
6
sage: len(simplex.integral_points())
6
sage: poly(2)                                              # optional - latte_int
36
sage: len((2*simplex).integral_points())
36

>>> from sage.all import *
>>> simplex = Polyhedron(vertices=[(Integer(0),Integer(0),Integer(0)),(Integer(3),Integer(3),Integer(3)),(-Integer(3),Integer(2),Integer(1)),(Integer(1),-Integer(1),-Integer(2))])
>>> poly = simplex.ehrhart_polynomial(engine = 'latte')  # optional - latte_int
>>> poly                                                 # optional - latte_int
7/2*t^3 + 2*t^2 - 1/2*t + 1
>>> poly(Integer(1))                                              # optional - latte_int
6
>>> len(simplex.integral_points())
6
>>> poly(Integer(2))                                              # optional - latte_int
36
>>> len((Integer(2)*simplex).integral_points())
36

Now we find the same Ehrhart polynomial, this time using engine='normaliz'. To use the Normaliz engine, the simplex must be defined with backend='normaliz':

sage: simplex = Polyhedron(vertices=[(0,0,0),(3,3,3),(-3,2,1),(1,-1,-2)], backend='normaliz') # optional - pynormaliz
sage: poly = simplex.ehrhart_polynomial(engine='normaliz') # optional - pynormaliz
sage: poly                                                 # optional - pynormaliz
7/2*t^3 + 2*t^2 - 1/2*t + 1

>>> from sage.all import *
>>> simplex = Polyhedron(vertices=[(Integer(0),Integer(0),Integer(0)),(Integer(3),Integer(3),Integer(3)),(-Integer(3),Integer(2),Integer(1)),(Integer(1),-Integer(1),-Integer(2))], backend='normaliz') # optional - pynormaliz
>>> poly = simplex.ehrhart_polynomial(engine='normaliz') # optional - pynormaliz
>>> poly                                                 # optional - pynormaliz
7/2*t^3 + 2*t^2 - 1/2*t + 1

If the engine='normaliz', the backend should be 'normaliz', otherwise it returns an error:

sage: simplex = Polyhedron(vertices=[(0,0,0),(3,3,3),(-3,2,1),(1,-1,-2)])
sage: simplex.ehrhart_polynomial(engine='normaliz')
Traceback (most recent call last):
...
TypeError: The polyhedron's backend should be 'normaliz'

>>> from sage.all import *
>>> simplex = Polyhedron(vertices=[(Integer(0),Integer(0),Integer(0)),(Integer(3),Integer(3),Integer(3)),(-Integer(3),Integer(2),Integer(1)),(Integer(1),-Integer(1),-Integer(2))])
>>> simplex.ehrhart_polynomial(engine='normaliz')
Traceback (most recent call last):
...
TypeError: The polyhedron's backend should be 'normaliz'

Now we find the Ehrhart polynomials of the unit hypercubes of dimensions three through six. They are computed first with engine='latte' and then with engine='normaliz'. The degree of the Ehrhart polynomial matches the dimension of the hypercube, and the coefficient of the leading monomial equals the volume of the unit hypercube:

sage: # optional - latte_int
sage: from itertools import product
sage: def hypercube(d):
....:     return Polyhedron(vertices=list(product([0,1],repeat=d)))
sage: hypercube(3).ehrhart_polynomial()
t^3 + 3*t^2 + 3*t + 1
sage: hypercube(4).ehrhart_polynomial()
t^4 + 4*t^3 + 6*t^2 + 4*t + 1
sage: hypercube(5).ehrhart_polynomial()
t^5 + 5*t^4 + 10*t^3 + 10*t^2 + 5*t + 1
sage: hypercube(6).ehrhart_polynomial()
t^6 + 6*t^5 + 15*t^4 + 20*t^3 + 15*t^2 + 6*t + 1

sage: # optional - pynormaliz
sage: from itertools import product
sage: def hypercube(d):
....:     return Polyhedron(vertices=list(product([0,1],repeat=d)),backend='normaliz')
sage: hypercube(3).ehrhart_polynomial(engine='normaliz')
t^3 + 3*t^2 + 3*t + 1
sage: hypercube(4).ehrhart_polynomial(engine='normaliz')
t^4 + 4*t^3 + 6*t^2 + 4*t + 1
sage: hypercube(5).ehrhart_polynomial(engine='normaliz')
t^5 + 5*t^4 + 10*t^3 + 10*t^2 + 5*t + 1
sage: hypercube(6).ehrhart_polynomial(engine='normaliz')
t^6 + 6*t^5 + 15*t^4 + 20*t^3 + 15*t^2 + 6*t + 1

>>> from sage.all import *
>>> # optional - latte_int
>>> from itertools import product
>>> def hypercube(d):
...     return Polyhedron(vertices=list(product([Integer(0),Integer(1)],repeat=d)))
>>> hypercube(Integer(3)).ehrhart_polynomial()
t^3 + 3*t^2 + 3*t + 1
>>> hypercube(Integer(4)).ehrhart_polynomial()
t^4 + 4*t^3 + 6*t^2 + 4*t + 1
>>> hypercube(Integer(5)).ehrhart_polynomial()
t^5 + 5*t^4 + 10*t^3 + 10*t^2 + 5*t + 1
>>> hypercube(Integer(6)).ehrhart_polynomial()
t^6 + 6*t^5 + 15*t^4 + 20*t^3 + 15*t^2 + 6*t + 1

>>> # optional - pynormaliz
>>> from itertools import product
>>> def hypercube(d):
...     return Polyhedron(vertices=list(product([Integer(0),Integer(1)],repeat=d)),backend='normaliz')
>>> hypercube(Integer(3)).ehrhart_polynomial(engine='normaliz')
t^3 + 3*t^2 + 3*t + 1
>>> hypercube(Integer(4)).ehrhart_polynomial(engine='normaliz')
t^4 + 4*t^3 + 6*t^2 + 4*t + 1
>>> hypercube(Integer(5)).ehrhart_polynomial(engine='normaliz')
t^5 + 5*t^4 + 10*t^3 + 10*t^2 + 5*t + 1
>>> hypercube(Integer(6)).ehrhart_polynomial(engine='normaliz')
t^6 + 6*t^5 + 15*t^4 + 20*t^3 + 15*t^2 + 6*t + 1

An empty polyhedron:

sage: p = Polyhedron(ambient_dim=3, vertices=[])
sage: p.ehrhart_polynomial()
0
sage: parent(_)
Univariate Polynomial Ring in t over Rational Field

>>> from sage.all import *
>>> p = Polyhedron(ambient_dim=Integer(3), vertices=[])
>>> p.ehrhart_polynomial()
0
>>> parent(_)
Univariate Polynomial Ring in t over Rational Field

The polyhedron should be compact:

sage: C = Polyhedron(rays=[[1,2],[2,1]])
sage: C.ehrhart_polynomial()
Traceback (most recent call last):
...
ValueError: Ehrhart polynomial only defined for compact polyhedra

>>> from sage.all import *
>>> C = Polyhedron(rays=[[Integer(1),Integer(2)],[Integer(2),Integer(1)]])
>>> C.ehrhart_polynomial()
Traceback (most recent call last):
...
ValueError: Ehrhart polynomial only defined for compact polyhedra
fibration_generator(dim)[source]

Generate the lattice polytope fibrations.

For the purposes of this function, a lattice polytope fiber is a sub-lattice polytope. Projecting the plane spanned by the subpolytope to a point yields another lattice polytope, the base of the fibration.

INPUT:

  • dim – integer; the dimension of the lattice polytope fiber

OUTPUT:

A generator yielding the distinct lattice polytope fibers of given dimension.

EXAMPLES:

sage: P = Polyhedron(toric_varieties.P4_11169().fan().rays(), base_ring=ZZ)             # needs palp sage.graphs
sage: list(P.fibration_generator(2))                                        # needs palp sage.graphs
[A 2-dimensional polyhedron in ZZ^4 defined as the convex hull of 3 vertices]

>>> from sage.all import *
>>> P = Polyhedron(toric_varieties.P4_11169().fan().rays(), base_ring=ZZ)             # needs palp sage.graphs
>>> list(P.fibration_generator(Integer(2)))                                        # needs palp sage.graphs
[A 2-dimensional polyhedron in ZZ^4 defined as the convex hull of 3 vertices]
find_translation(translated_polyhedron)[source]

Return the translation vector to translated_polyhedron.

INPUT:

  • translated_polyhedron – a polyhedron

OUTPUT:

A \(\ZZ\)-vector that translates self to translated_polyhedron. A ValueError is raised if translated_polyhedron is not a translation of self, this can be used to check that two polyhedra are not translates of each other.

EXAMPLES:

sage: X = polytopes.cube()
sage: X.find_translation(X + vector([2,3,5]))
(2, 3, 5)
sage: X.find_translation(2*X)
Traceback (most recent call last):
...
ValueError: polyhedron is not a translation of self

>>> from sage.all import *
>>> X = polytopes.cube()
>>> X.find_translation(X + vector([Integer(2),Integer(3),Integer(5)]))
(2, 3, 5)
>>> X.find_translation(Integer(2)*X)
Traceback (most recent call last):
...
ValueError: polyhedron is not a translation of self
has_IP_property()[source]

Test whether the polyhedron has the IP property.

The IP (interior point) property means that

  • self is compact (a polytope).

  • self contains the origin as an interior point.

This implies that

  • self is full-dimensional.

  • The dual polyhedron is again a polytope (that is, a compact polyhedron), though not necessarily a lattice polytope.

EXAMPLES:

sage: Polyhedron([(1,1),(1,0),(0,1)], base_ring=ZZ).has_IP_property()
False
sage: Polyhedron([(0,0),(1,0),(0,1)], base_ring=ZZ).has_IP_property()
False
sage: Polyhedron([(-1,-1),(1,0),(0,1)], base_ring=ZZ).has_IP_property()
True

>>> from sage.all import *
>>> Polyhedron([(Integer(1),Integer(1)),(Integer(1),Integer(0)),(Integer(0),Integer(1))], base_ring=ZZ).has_IP_property()
False
>>> Polyhedron([(Integer(0),Integer(0)),(Integer(1),Integer(0)),(Integer(0),Integer(1))], base_ring=ZZ).has_IP_property()
False
>>> Polyhedron([(-Integer(1),-Integer(1)),(Integer(1),Integer(0)),(Integer(0),Integer(1))], base_ring=ZZ).has_IP_property()
True

REFERENCES:

is_lattice_polytope()[source]

Return whether the polyhedron is a lattice polytope.

OUTPUT:

True if the polyhedron is compact and has only integral vertices, False otherwise.

EXAMPLES:

sage: polytopes.cross_polytope(3).is_lattice_polytope()
True
sage: polytopes.regular_polygon(5).is_lattice_polytope()                    # needs sage.rings.number_field
False

>>> from sage.all import *
>>> polytopes.cross_polytope(Integer(3)).is_lattice_polytope()
True
>>> polytopes.regular_polygon(Integer(5)).is_lattice_polytope()                    # needs sage.rings.number_field
False
is_reflexive()[source]

A lattice polytope is reflexive if it contains the origin in its interior and its polar with respect to the origin is a lattice polytope.

Equivalently, it is reflexive if it is of the form \(\{x \in \mathbb{R}^d: Ax \leq 1\}\) for some integer matrix \(A\) and \(d\) the ambient dimension.

EXAMPLES:

sage: p = Polyhedron(vertices=[(1,0,0),(0,1,0),(0,0,1),(-1,-1,-1)], base_ring=ZZ)
sage: p.is_reflexive()
True
sage: polytopes.hypercube(4).is_reflexive()
True
sage: p = Polyhedron(vertices=[(1,0), (0,2), (-1,0), (0,-1)], base_ring=ZZ)
sage: p.is_reflexive()
False
sage: p = Polyhedron(vertices=[(1,0), (0,2), (-1,0)], base_ring=ZZ)
sage: p.is_reflexive()
False

>>> from sage.all import *
>>> p = Polyhedron(vertices=[(Integer(1),Integer(0),Integer(0)),(Integer(0),Integer(1),Integer(0)),(Integer(0),Integer(0),Integer(1)),(-Integer(1),-Integer(1),-Integer(1))], base_ring=ZZ)
>>> p.is_reflexive()
True
>>> polytopes.hypercube(Integer(4)).is_reflexive()
True
>>> p = Polyhedron(vertices=[(Integer(1),Integer(0)), (Integer(0),Integer(2)), (-Integer(1),Integer(0)), (Integer(0),-Integer(1))], base_ring=ZZ)
>>> p.is_reflexive()
False
>>> p = Polyhedron(vertices=[(Integer(1),Integer(0)), (Integer(0),Integer(2)), (-Integer(1),Integer(0))], base_ring=ZZ)
>>> p.is_reflexive()
False

An error is raised, if the polyhedron is not compact:

sage: p = Polyhedron(rays=[(1,)], base_ring=ZZ)
sage: p.is_reflexive()
Traceback (most recent call last):
...
ValueError: the polyhedron is not compact

>>> from sage.all import *
>>> p = Polyhedron(rays=[(Integer(1),)], base_ring=ZZ)
>>> p.is_reflexive()
Traceback (most recent call last):
...
ValueError: the polyhedron is not compact
minkowski_decompositions()[source]

Return all Minkowski sums that add up to the polyhedron.

OUTPUT:

A tuple consisting of pairs \((X,Y)\) of \(\ZZ\)-polyhedra that add up to self. All pairs up to exchange of the summands are returned, that is, \((Y,X)\) is not included if \((X,Y)\) already is.

EXAMPLES:

sage: square = Polyhedron(vertices=[(0,0),(1,0),(0,1),(1,1)])
sage: square.minkowski_decompositions()
((A 0-dimensional polyhedron in ZZ^2 defined as the convex hull of 1 vertex,
  A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 4 vertices),
 (A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices,
  A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices))

>>> from sage.all import *
>>> square = Polyhedron(vertices=[(Integer(0),Integer(0)),(Integer(1),Integer(0)),(Integer(0),Integer(1)),(Integer(1),Integer(1))])
>>> square.minkowski_decompositions()
((A 0-dimensional polyhedron in ZZ^2 defined as the convex hull of 1 vertex,
  A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 4 vertices),
 (A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices,
  A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices))

Example from http://cgi.di.uoa.gr/~amantzaf/geo/

 sage: Q = Polyhedron(vertices=[(4,0), (6,0), (0,3), (4,3)])
 sage: R = Polyhedron(vertices=[(0,0), (5,0), (8,4), (3,2)])
 sage: (Q+R).minkowski_decompositions()
 ((A 0-dimensional polyhedron in ZZ^2 defined as the convex hull of 1 vertex,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 7 vertices),
  (A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 4 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 4 vertices),
  (A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 7 vertices),
  (A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 5 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 4 vertices),
  (A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 7 vertices),
  (A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 5 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 3 vertices),
  (A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 7 vertices),
  (A 1-dimensional polyhedron in ZZ^2 defined as the convex hull of 2 vertices,
   A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 6 vertices))

sage: [ len(square.dilation(i).minkowski_decompositions())
....:   for i in range(6) ]
[1, 2, 5, 8, 13, 18]
sage: [ integer_ceil((i^2 + 2*i - 1) / 2) + 1 for i in range(10) ]
[1, 2, 5, 8, 13, 18, 25, 32, 41, 50]
normal_form(algorithm='palp_native', permutation=False)[source]

Return the normal form of vertices of the lattice polytope self.

INPUT:

  • algorithm – must be 'palp_native', the default

  • permutation – boolean (default: False); if True, the permutation applied to vertices to obtain the normal form is returned as well

For more more detail, see normal_form().

EXAMPLES:

We compute the normal form of the “diamond”:

sage: d = Polyhedron([(1,0), (0,1), (-1,0), (0,-1)])
sage: d.vertices()
(A vertex at (-1, 0),
 A vertex at (0, -1),
 A vertex at (0, 1),
 A vertex at (1, 0))
sage: d.normal_form()                                                       # needs sage.groups
[(1, 0), (0, 1), (0, -1), (-1, 0)]
sage: d.lattice_polytope().normal_form("palp_native")                       # needs sage.groups
M( 1,  0),
M( 0,  1),
M( 0, -1),
M(-1,  0)
in 2-d lattice M

>>> from sage.all import *
>>> d = Polyhedron([(Integer(1),Integer(0)), (Integer(0),Integer(1)), (-Integer(1),Integer(0)), (Integer(0),-Integer(1))])
>>> d.vertices()
(A vertex at (-1, 0),
 A vertex at (0, -1),
 A vertex at (0, 1),
 A vertex at (1, 0))
>>> d.normal_form()                                                       # needs sage.groups
[(1, 0), (0, 1), (0, -1), (-1, 0)]
>>> d.lattice_polytope().normal_form("palp_native")                       # needs sage.groups
M( 1,  0),
M( 0,  1),
M( 0, -1),
M(-1,  0)
in 2-d lattice M

Using permutation=True:

sage: d.normal_form(permutation=True)                                       # needs sage.groups
([(1, 0), (0, 1), (0, -1), (-1, 0)], ())

>>> from sage.all import *
>>> d.normal_form(permutation=True)                                       # needs sage.groups
([(1, 0), (0, 1), (0, -1), (-1, 0)], ())

It is not possible to compute normal forms for polytopes which do not span the space:

sage: p = Polyhedron([(1,0,0), (0,1,0), (-1,0,0), (0,-1,0)])
sage: p.normal_form()
Traceback (most recent call last):
...
ValueError: normal form is not defined for lower-dimensional polyhedra, got
A 2-dimensional polyhedron in ZZ^3 defined as the convex hull of 4 vertices

>>> from sage.all import *
>>> p = Polyhedron([(Integer(1),Integer(0),Integer(0)), (Integer(0),Integer(1),Integer(0)), (-Integer(1),Integer(0),Integer(0)), (Integer(0),-Integer(1),Integer(0))])
>>> p.normal_form()
Traceback (most recent call last):
...
ValueError: normal form is not defined for lower-dimensional polyhedra, got
A 2-dimensional polyhedron in ZZ^3 defined as the convex hull of 4 vertices

The normal form is also not defined for unbounded polyhedra:

sage: p = Polyhedron(vertices=[[1, 1]], rays=[[1, 0], [0, 1]], base_ring=ZZ)
sage: p.normal_form()
Traceback (most recent call last):
...
ValueError: normal form is not defined for unbounded polyhedra, got
A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 1 vertex and 2 rays

>>> from sage.all import *
>>> p = Polyhedron(vertices=[[Integer(1), Integer(1)]], rays=[[Integer(1), Integer(0)], [Integer(0), Integer(1)]], base_ring=ZZ)
>>> p.normal_form()
Traceback (most recent call last):
...
ValueError: normal form is not defined for unbounded polyhedra, got
A 2-dimensional polyhedron in ZZ^2 defined as the convex hull of 1 vertex and 2 rays

See Issue #15280 for proposed extensions to these cases.

polar()[source]

Return the polar (dual) polytope.

The polytope must have the IP-property (see has_IP_property()), that is, the origin must be an interior point. In particular, it must be full-dimensional.

OUTPUT:

The polytope whose vertices are the coefficient vectors of the inequalities of self with inhomogeneous term normalized to unity.

EXAMPLES:

sage: p = Polyhedron(vertices=[(1,0,0),(0,1,0),(0,0,1),(-1,-1,-1)], base_ring=ZZ)
sage: p.polar()
A 3-dimensional polyhedron in ZZ^3 defined as the convex hull of 4 vertices
sage: type(_)
<class 'sage.geometry.polyhedron.parent.Polyhedra_ZZ_ppl_with_category.element_class'>
sage: p.polar().base_ring()
Integer Ring

>>> from sage.all import *
>>> p = Polyhedron(vertices=[(Integer(1),Integer(0),Integer(0)),(Integer(0),Integer(1),Integer(0)),(Integer(0),Integer(0),Integer(1)),(-Integer(1),-Integer(1),-Integer(1))], base_ring=ZZ)
>>> p.polar()
A 3-dimensional polyhedron in ZZ^3 defined as the convex hull of 4 vertices
>>> type(_)
<class 'sage.geometry.polyhedron.parent.Polyhedra_ZZ_ppl_with_category.element_class'>
>>> p.polar().base_ring()
Integer Ring