Infinite Polynomial Rings

By Infinite Polynomial Rings, we mean polynomial rings in a countably infinite number of variables. The implementation consists of a wrapper around the current finite polynomial rings in Sage.

AUTHORS:

An Infinite Polynomial Ring has finitely many generators \(x_\ast, y_\ast,...\) and infinitely many variables of the form \(x_0, x_1, x_2, ..., y_0, y_1, y_2,...,...\). We refer to the natural number \(n\) as the index of the variable \(x_n\).

INPUT:

  • R – the base ring; it has to be a commutative ring, and in some applications it must even be a field

  • names – a finite list of generator names; generator names must be alpha-numeric

  • order – (optional) string; the default order is 'lex' (lexicographic). 'deglex' is degree lexicographic, and 'degrevlex' (degree reverse lexicographic) is possible but discouraged.

Each generator x produces an infinite sequence of variables x[1], x[2], ... which are printed on screen as x_1, x_2, ... and are latex typeset as \(x_{1}, x_{2}\). Then, the Infinite Polynomial Ring is formed by polynomials in these variables.

By default, the monomials are ordered lexicographically. Alternatively, degree (reverse) lexicographic ordering is possible as well. However, we do not guarantee that the computation of Groebner bases will terminate in this case.

In either case, the variables of a Infinite Polynomial Ring X are ordered according to the following rule:

X.gen(i)[m] > X.gen(j)[n] if and only if i<j or (i==j and m>n)

We provide a ‘dense’ and a ‘sparse’ implementation. In the dense implementation, the Infinite Polynomial Ring carries a finite polynomial ring that comprises all variables up to the maximal index that has been used so far. This is potentially a very big ring and may also comprise many variables that are not used.

In the sparse implementation, we try to keep the underlying finite polynomial rings small, using only those variables that are really needed. By default, we use the dense implementation, since it usually is much faster.

EXAMPLES:

sage: X.<x,y> = InfinitePolynomialRing(ZZ, implementation='sparse')
sage: A.<alpha,beta> = InfinitePolynomialRing(QQ, order='deglex')

sage: f = x[5] + 2; f
x_5 + 2
sage: g = 3*y[1]; g
3*y_1

>>> from sage.all import *
>>> X = InfinitePolynomialRing(ZZ, implementation='sparse', names=('x', 'y',)); (x, y,) = X._first_ngens(2)
>>> A = InfinitePolynomialRing(QQ, order='deglex', names=('alpha', 'beta',)); (alpha, beta,) = A._first_ngens(2)

>>> f = x[Integer(5)] + Integer(2); f
x_5 + 2
>>> g = Integer(3)*y[Integer(1)]; g
3*y_1

It has some advantages to have an underlying ring that is not univariate. Hence, we always have at least two variables:

sage: g._p.parent()
Multivariate Polynomial Ring in y_1, y_0 over Integer Ring

sage: f2 = alpha[5] + 2; f2
alpha_5 + 2
sage: g2 = 3*beta[1]; g2
3*beta_1
sage: A.polynomial_ring()
Multivariate Polynomial Ring in alpha_5, alpha_4, alpha_3, alpha_2, alpha_1, alpha_0,
 beta_5, beta_4, beta_3, beta_2, beta_1, beta_0 over Rational Field

>>> from sage.all import *
>>> g._p.parent()
Multivariate Polynomial Ring in y_1, y_0 over Integer Ring

>>> f2 = alpha[Integer(5)] + Integer(2); f2
alpha_5 + 2
>>> g2 = Integer(3)*beta[Integer(1)]; g2
3*beta_1
>>> A.polynomial_ring()
Multivariate Polynomial Ring in alpha_5, alpha_4, alpha_3, alpha_2, alpha_1, alpha_0,
 beta_5, beta_4, beta_3, beta_2, beta_1, beta_0 over Rational Field

Of course, we provide the usual polynomial arithmetic:

sage: f + g
x_5 + 3*y_1 + 2
sage: p = x[10]^2*(f+g); p
x_10^2*x_5 + 3*x_10^2*y_1 + 2*x_10^2
sage: p2 = alpha[10]^2*(f2+g2); p2
alpha_10^2*alpha_5 + 3*alpha_10^2*beta_1 + 2*alpha_10^2

>>> from sage.all import *
>>> f + g
x_5 + 3*y_1 + 2
>>> p = x[Integer(10)]**Integer(2)*(f+g); p
x_10^2*x_5 + 3*x_10^2*y_1 + 2*x_10^2
>>> p2 = alpha[Integer(10)]**Integer(2)*(f2+g2); p2
alpha_10^2*alpha_5 + 3*alpha_10^2*beta_1 + 2*alpha_10^2

There is a permutation action on the variables, by permuting positive variable indices:

sage: P = Permutation(((10,1)))
sage: p^P
x_5*x_1^2 + 3*x_1^2*y_10 + 2*x_1^2
sage: p2^P
alpha_5*alpha_1^2 + 3*alpha_1^2*beta_10 + 2*alpha_1^2

>>> from sage.all import *
>>> P = Permutation(((Integer(10),Integer(1))))
>>> p**P
x_5*x_1^2 + 3*x_1^2*y_10 + 2*x_1^2
>>> p2**P
alpha_5*alpha_1^2 + 3*alpha_1^2*beta_10 + 2*alpha_1^2

Note that \(x_0^P = x_0\), since the permutations only change positive variable indices.

We also implemented ideals of Infinite Polynomial Rings. Here, it is thoroughly assumed that the ideals are set-wise invariant under the permutation action. We therefore refer to these ideals as Symmetric Ideals. Symmetric Ideals are finitely generated modulo addition, multiplication by ring elements and permutation of variables. If the base ring is a field, one can compute Symmetric Groebner Bases:

sage: J = A * (alpha[1]*beta[2])
sage: J.groebner_basis()                                                            # needs sage.combinat sage.libs.singular
[alpha_1*beta_2, alpha_2*beta_1]

>>> from sage.all import *
>>> J = A * (alpha[Integer(1)]*beta[Integer(2)])
>>> J.groebner_basis()                                                            # needs sage.combinat sage.libs.singular
[alpha_1*beta_2, alpha_2*beta_1]

For more details, see SymmetricIdeal.

Infinite Polynomial Rings can have any commutative base ring. If the base ring of an Infinite Polynomial Ring is a (classical or infinite) Polynomial Ring, then our implementation tries to merge everything into one ring. The basic requirement is that the monomial orders match. In the case of two Infinite Polynomial Rings, the implementations must match. Moreover, name conflicts should be avoided. An overlap is only accepted if the order of variables can be uniquely inferred, as in the following example:

sage: A.<a,b,c> = InfinitePolynomialRing(ZZ)
sage: B.<b,c,d> = InfinitePolynomialRing(A)
sage: B
Infinite polynomial ring in a, b, c, d over Integer Ring

>>> from sage.all import *
>>> A = InfinitePolynomialRing(ZZ, names=('a', 'b', 'c',)); (a, b, c,) = A._first_ngens(3)
>>> B = InfinitePolynomialRing(A, names=('b', 'c', 'd',)); (b, c, d,) = B._first_ngens(3)
>>> B
Infinite polynomial ring in a, b, c, d over Integer Ring

This is also allowed if finite polynomial rings are involved:

sage: A.<a_3,a_1,b_1,c_2,c_0> = ZZ[]
sage: B.<b,c,d> = InfinitePolynomialRing(A, order='degrevlex')
sage: B
Infinite polynomial ring in b, c, d over
 Multivariate Polynomial Ring in a_3, a_1 over Integer Ring

>>> from sage.all import *
>>> A = ZZ['a_3, a_1, b_1, c_2, c_0']; (a_3, a_1, b_1, c_2, c_0,) = A._first_ngens(5)
>>> B = InfinitePolynomialRing(A, order='degrevlex', names=('b', 'c', 'd',)); (b, c, d,) = B._first_ngens(3)
>>> B
Infinite polynomial ring in b, c, d over
 Multivariate Polynomial Ring in a_3, a_1 over Integer Ring

It is no problem if one generator of the Infinite Polynomial Ring is called x and one variable of the base ring is also called x. This is since no variable of the Infinite Polynomial Ring will be called x. However, a problem arises if the underlying classical Polynomial Ring has a variable x_1, since this can be confused with a variable of the Infinite Polynomial Ring. In this case, an error will be raised:

sage: X.<x,y_1> = ZZ[]
sage: Y.<x,z> = InfinitePolynomialRing(X)

>>> from sage.all import *
>>> X = ZZ['x, y_1']; (x, y_1,) = X._first_ngens(2)
>>> Y = InfinitePolynomialRing(X, names=('x', 'z',)); (x, z,) = Y._first_ngens(2)

Note that X is not merged into Y; this is since the monomial order of X is ‘degrevlex’, but of Y is ‘lex’.

sage: Y
Infinite polynomial ring in x, z over
 Multivariate Polynomial Ring in x, y_1 over Integer Ring

>>> from sage.all import *
>>> Y
Infinite polynomial ring in x, z over
 Multivariate Polynomial Ring in x, y_1 over Integer Ring

The variable x of X can still be interpreted in Y, although the first generator of Y is called x as well:

sage: x
x_*
sage: X('x')
x
sage: Y(X('x'))
x
sage: Y('x')
x

>>> from sage.all import *
>>> x
x_*
>>> X('x')
x
>>> Y(X('x'))
x
>>> Y('x')
x

But there is only merging if the resulting monomial order is uniquely determined. This is not the case in the following examples, and thus an error is raised:

sage: X.<y_1,x> = ZZ[]
sage: Y.<y,z> = InfinitePolynomialRing(X)
Traceback (most recent call last):
...
CoercionException: Overlapping variables (('y', 'z'),['y_1']) are incompatible
sage: Y.<z,y> = InfinitePolynomialRing(X)
Traceback (most recent call last):
...
CoercionException: Overlapping variables (('z', 'y'),['y_1']) are incompatible
sage: X.<x_3,y_1,y_2> = PolynomialRing(ZZ, order='lex')
sage: # y_1 and y_2 would be in opposite order in an Infinite Polynomial Ring
sage: Y.<y> = InfinitePolynomialRing(X)
Traceback (most recent call last):
...
CoercionException: Overlapping variables (('y',),['y_1', 'y_2']) are incompatible

>>> from sage.all import *
>>> X = ZZ['y_1, x']; (y_1, x,) = X._first_ngens(2)
>>> Y = InfinitePolynomialRing(X, names=('y', 'z',)); (y, z,) = Y._first_ngens(2)
Traceback (most recent call last):
...
CoercionException: Overlapping variables (('y', 'z'),['y_1']) are incompatible
>>> Y = InfinitePolynomialRing(X, names=('z', 'y',)); (z, y,) = Y._first_ngens(2)
Traceback (most recent call last):
...
CoercionException: Overlapping variables (('z', 'y'),['y_1']) are incompatible
>>> X = PolynomialRing(ZZ, order='lex', names=('x_3', 'y_1', 'y_2',)); (x_3, y_1, y_2,) = X._first_ngens(3)
>>> # y_1 and y_2 would be in opposite order in an Infinite Polynomial Ring
>>> Y = InfinitePolynomialRing(X, names=('y',)); (y,) = Y._first_ngens(1)
Traceback (most recent call last):
...
CoercionException: Overlapping variables (('y',),['y_1', 'y_2']) are incompatible

If the type of monomial orderings (e.g., ‘degrevlex’ versus ‘lex’) or if the implementations do not match, there is no simplified construction available:

sage: X.<x,y> = InfinitePolynomialRing(ZZ)
sage: Y.<z> = InfinitePolynomialRing(X, order='degrevlex')
sage: Y
Infinite polynomial ring in z over Infinite polynomial ring in x, y over Integer Ring
sage: Y.<z> = InfinitePolynomialRing(X, implementation='sparse')
sage: Y
Infinite polynomial ring in z over Infinite polynomial ring in x, y over Integer Ring

>>> from sage.all import *
>>> X = InfinitePolynomialRing(ZZ, names=('x', 'y',)); (x, y,) = X._first_ngens(2)
>>> Y = InfinitePolynomialRing(X, order='degrevlex', names=('z',)); (z,) = Y._first_ngens(1)
>>> Y
Infinite polynomial ring in z over Infinite polynomial ring in x, y over Integer Ring
>>> Y = InfinitePolynomialRing(X, implementation='sparse', names=('z',)); (z,) = Y._first_ngens(1)
>>> Y
Infinite polynomial ring in z over Infinite polynomial ring in x, y over Integer Ring
class sage.rings.polynomial.infinite_polynomial_ring.GenDictWithBasering(parent, start)[source]

Bases: object

A dictionary-like class that is suitable for usage in sage_eval.

This pseudo-dictionary accepts strings as index, and then walks down a chain of base rings of (infinite) polynomial rings until it finds one ring that has the given string as variable name, which is then returned.

EXAMPLES:

sage: R.<a,b> = InfinitePolynomialRing(ZZ)
sage: D = R.gens_dict() # indirect doctest
sage: D
GenDict of Infinite polynomial ring in a, b over Integer Ring
sage: D['a_15']
a_15
sage: type(_)
<class 'sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_dense'>
sage: sage_eval('3*a_3*b_5-1/2*a_7', D)
-1/2*a_7 + 3*a_3*b_5

>>> from sage.all import *
>>> R = InfinitePolynomialRing(ZZ, names=('a', 'b',)); (a, b,) = R._first_ngens(2)
>>> D = R.gens_dict() # indirect doctest
>>> D
GenDict of Infinite polynomial ring in a, b over Integer Ring
>>> D['a_15']
a_15
>>> type(_)
<class 'sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_dense'>
>>> sage_eval('3*a_3*b_5-1/2*a_7', D)
-1/2*a_7 + 3*a_3*b_5
next()[source]

Return a dictionary that can be used to interpret strings in the base ring of self.

EXAMPLES:

sage: R.<a,b> = InfinitePolynomialRing(QQ['t'])
sage: D = R.gens_dict()
sage: D
GenDict of Infinite polynomial ring in a, b over Univariate Polynomial Ring in t over Rational Field
sage: next(D)
GenDict of Univariate Polynomial Ring in t over Rational Field
sage: sage_eval('t^2', next(D))
t^2

>>> from sage.all import *
>>> R = InfinitePolynomialRing(QQ['t'], names=('a', 'b',)); (a, b,) = R._first_ngens(2)
>>> D = R.gens_dict()
>>> D
GenDict of Infinite polynomial ring in a, b over Univariate Polynomial Ring in t over Rational Field
>>> next(D)
GenDict of Univariate Polynomial Ring in t over Rational Field
>>> sage_eval('t^2', next(D))
t^2
class sage.rings.polynomial.infinite_polynomial_ring.InfiniteGenDict(Gens)[source]

Bases: object

A dictionary-like class that is suitable for usage in sage_eval.

The generators of an Infinite Polynomial Ring are not variables. Variables of an Infinite Polynomial Ring are returned by indexing a generator. The purpose of this class is to return a variable of an Infinite Polynomial Ring, given its string representation.

EXAMPLES:

sage: R.<a,b> = InfinitePolynomialRing(ZZ)
sage: D = R.gens_dict() # indirect doctest
sage: D._D
[InfiniteGenDict defined by ['a', 'b'], {'1': 1}]
sage: D._D[0]['a_15']
a_15
sage: type(_)
<class 'sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_dense'>
sage: sage_eval('3*a_3*b_5-1/2*a_7', D._D[0])
-1/2*a_7 + 3*a_3*b_5

>>> from sage.all import *
>>> R = InfinitePolynomialRing(ZZ, names=('a', 'b',)); (a, b,) = R._first_ngens(2)
>>> D = R.gens_dict() # indirect doctest
>>> D._D
[InfiniteGenDict defined by ['a', 'b'], {'1': 1}]
>>> D._D[Integer(0)]['a_15']
a_15
>>> type(_)
<class 'sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_dense'>
>>> sage_eval('3*a_3*b_5-1/2*a_7', D._D[Integer(0)])
-1/2*a_7 + 3*a_3*b_5
class sage.rings.polynomial.infinite_polynomial_ring.InfinitePolynomialGen(parent, name)[source]

Bases: SageObject

This class provides the object which is responsible for returning variables in an infinite polynomial ring (implemented in __getitem__()).

EXAMPLES:

sage: X.<x1,x2> = InfinitePolynomialRing(RR)
sage: x1
x1_*
sage: x1[5]
x1_5
sage: x1 == loads(dumps(x1))
True

>>> from sage.all import *
>>> X = InfinitePolynomialRing(RR, names=('x1', 'x2',)); (x1, x2,) = X._first_ngens(2)
>>> x1
x1_*
>>> x1[Integer(5)]
x1_5
>>> x1 == loads(dumps(x1))
True
class sage.rings.polynomial.infinite_polynomial_ring.InfinitePolynomialRingFactory[source]

Bases: UniqueFactory

A factory for creating infinite polynomial ring elements. It makes sure that they are unique as well as handling pickling. For more details, see UniqueFactory and infinite_polynomial_ring.

EXAMPLES:

sage: A.<a> = InfinitePolynomialRing(QQ)
sage: B.<b> = InfinitePolynomialRing(A)
sage: B.construction()
[InfPoly{[a,b], "lex", "dense"}, Rational Field]
sage: R.<a,b> = InfinitePolynomialRing(QQ)
sage: R is B
True
sage: X.<x> = InfinitePolynomialRing(QQ)
sage: X2.<x> = InfinitePolynomialRing(QQ, implementation='sparse')
sage: X is X2
False

sage: X is loads(dumps(X))
True

>>> from sage.all import *
>>> A = InfinitePolynomialRing(QQ, names=('a',)); (a,) = A._first_ngens(1)
>>> B = InfinitePolynomialRing(A, names=('b',)); (b,) = B._first_ngens(1)
>>> B.construction()
[InfPoly{[a,b], "lex", "dense"}, Rational Field]
>>> R = InfinitePolynomialRing(QQ, names=('a', 'b',)); (a, b,) = R._first_ngens(2)
>>> R is B
True
>>> X = InfinitePolynomialRing(QQ, names=('x',)); (x,) = X._first_ngens(1)
>>> X2 = InfinitePolynomialRing(QQ, implementation='sparse', names=('x',)); (x,) = X2._first_ngens(1)
>>> X is X2
False

>>> X is loads(dumps(X))
True
create_key(R, names=('x',), order='lex', implementation='dense')[source]

Create a key which uniquely defines the infinite polynomial ring.

create_object(version, key)[source]

Return the infinite polynomial ring corresponding to the key key.

class sage.rings.polynomial.infinite_polynomial_ring.InfinitePolynomialRing_dense(R, names, order)[source]

Bases: InfinitePolynomialRing_sparse

Dense implementation of Infinite Polynomial Rings.

Compared with InfinitePolynomialRing_sparse, from which this class inherits, it keeps a polynomial ring that comprises all elements that have been created so far.

construction()[source]

Return the construction of self.

OUTPUT:

A pair F,R, where F is a construction functor and R is a ring, so that F(R) is self.

EXAMPLES:

sage: R.<x,y> = InfinitePolynomialRing(GF(5))
sage: R.construction()
[InfPoly{[x,y], "lex", "dense"}, Finite Field of size 5]

>>> from sage.all import *
>>> R = InfinitePolynomialRing(GF(Integer(5)), names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.construction()
[InfPoly{[x,y], "lex", "dense"}, Finite Field of size 5]
polynomial_ring()[source]

Return the underlying finite polynomial ring.

Note

The ring returned can change over time as more variables are used.

Since the rings are cached, we create here a ring with variable names that do not occur in other doc tests, so that we avoid side effects.

EXAMPLES:

sage: X.<xx, yy> = InfinitePolynomialRing(ZZ)
sage: X.polynomial_ring()
Multivariate Polynomial Ring in xx_0, yy_0 over Integer Ring
sage: a = yy[3]
sage: X.polynomial_ring()
Multivariate Polynomial Ring in xx_3, xx_2, xx_1, xx_0, yy_3, yy_2, yy_1, yy_0
 over Integer Ring

>>> from sage.all import *
>>> X = InfinitePolynomialRing(ZZ, names=('xx', 'yy',)); (xx, yy,) = X._first_ngens(2)
>>> X.polynomial_ring()
Multivariate Polynomial Ring in xx_0, yy_0 over Integer Ring
>>> a = yy[Integer(3)]
>>> X.polynomial_ring()
Multivariate Polynomial Ring in xx_3, xx_2, xx_1, xx_0, yy_3, yy_2, yy_1, yy_0
 over Integer Ring
tensor_with_ring(R)[source]

Return the tensor product of self with another ring.

INPUT:

  • R – a ring

OUTPUT:

An infinite polynomial ring that, mathematically, can be seen as the tensor product of self with R.

NOTE:

It is required that the underlying ring of self coerces into R. Hence, the tensor product is in fact merely an extension of the base ring.

EXAMPLES:

sage: R.<a,b> = InfinitePolynomialRing(ZZ, implementation='sparse')
sage: R.tensor_with_ring(QQ)
Infinite polynomial ring in a, b over Rational Field
sage: R
Infinite polynomial ring in a, b over Integer Ring

>>> from sage.all import *
>>> R = InfinitePolynomialRing(ZZ, implementation='sparse', names=('a', 'b',)); (a, b,) = R._first_ngens(2)
>>> R.tensor_with_ring(QQ)
Infinite polynomial ring in a, b over Rational Field
>>> R
Infinite polynomial ring in a, b over Integer Ring

The following tests against a bug that was fixed at Issue #10468:

sage: R.<x,y> = InfinitePolynomialRing(QQ, implementation='sparse')
sage: R.tensor_with_ring(QQ) is R
True

>>> from sage.all import *
>>> R = InfinitePolynomialRing(QQ, implementation='sparse', names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.tensor_with_ring(QQ) is R
True
class sage.rings.polynomial.infinite_polynomial_ring.InfinitePolynomialRing_sparse(R, names, order)[source]

Bases: CommutativeRing

Sparse implementation of Infinite Polynomial Rings.

An Infinite Polynomial Ring with generators \(x_\ast, y_\ast, ...\) over a field \(F\) is a free commutative \(F\)-algebra generated by \(x_0, x_1, x_2, ..., y_0, y_1, y_2, ..., ...\) and is equipped with a permutation action on the generators, namely \(x_n^P = x_{P(n)}, y_{n}^P=y_{P(n)}, ...\) for any permutation \(P\) (note that variables of index zero are invariant under such permutation).

It is known that any permutation invariant ideal in an Infinite Polynomial Ring is finitely generated modulo the permutation action – see SymmetricIdeal for more details.

Usually, an instance of this class is created using InfinitePolynomialRing with the optional parameter implementation='sparse'. This takes care of uniqueness of parent structures. However, a direct construction is possible, in principle:

sage: X.<x,y> = InfinitePolynomialRing(QQ, implementation='sparse')
sage: Y.<x,y> = InfinitePolynomialRing(QQ, implementation='sparse')
sage: X is Y
True
sage: from sage.rings.polynomial.infinite_polynomial_ring import InfinitePolynomialRing_sparse
sage: Z = InfinitePolynomialRing_sparse(QQ, ['x','y'], 'lex')

>>> from sage.all import *
>>> X = InfinitePolynomialRing(QQ, implementation='sparse', names=('x', 'y',)); (x, y,) = X._first_ngens(2)
>>> Y = InfinitePolynomialRing(QQ, implementation='sparse', names=('x', 'y',)); (x, y,) = Y._first_ngens(2)
>>> X is Y
True
>>> from sage.rings.polynomial.infinite_polynomial_ring import InfinitePolynomialRing_sparse
>>> Z = InfinitePolynomialRing_sparse(QQ, ['x','y'], 'lex')

Nevertheless, since infinite polynomial rings are supposed to be unique parent structures, they do not evaluate equal.

sage: Z == X
False

>>> from sage.all import *
>>> Z == X
False

The last parameter (‘lex’ in the above example) can also be ‘deglex’ or ‘degrevlex’; this would result in an Infinite Polynomial Ring in degree lexicographic or degree reverse lexicographic order.

See infinite_polynomial_ring for more details.

characteristic()[source]

Return the characteristic of the base field.

EXAMPLES:

sage: X.<x,y> = InfinitePolynomialRing(GF(25,'a'))                          # needs sage.rings.finite_rings
sage: X                                                                     # needs sage.rings.finite_rings
Infinite polynomial ring in x, y over Finite Field in a of size 5^2
sage: X.characteristic()                                                    # needs sage.rings.finite_rings
5

>>> from sage.all import *
>>> X = InfinitePolynomialRing(GF(Integer(25),'a'), names=('x', 'y',)); (x, y,) = X._first_ngens(2)# needs sage.rings.finite_rings
>>> X                                                                     # needs sage.rings.finite_rings
Infinite polynomial ring in x, y over Finite Field in a of size 5^2
>>> X.characteristic()                                                    # needs sage.rings.finite_rings
5
construction()[source]

Return the construction of self.

OUTPUT:

A pair F,R, where F is a construction functor and R is a ring, so that F(R) is self.

EXAMPLES:

sage: R.<x,y> = InfinitePolynomialRing(GF(5))
sage: R.construction()
[InfPoly{[x,y], "lex", "dense"}, Finite Field of size 5]

>>> from sage.all import *
>>> R = InfinitePolynomialRing(GF(Integer(5)), names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.construction()
[InfPoly{[x,y], "lex", "dense"}, Finite Field of size 5]
gen(i=None)[source]

Return the \(i\)-th ‘generator’ (see the description in ngens()) of this infinite polynomial ring.

EXAMPLES:

sage: X = InfinitePolynomialRing(QQ)
sage: x = X.gen()
sage: x[1]
x_1
sage: X.gen() is X.gen(0)
True
sage: XX = InfinitePolynomialRing(GF(5))
sage: XX.gen(0) is XX.gen()
True

>>> from sage.all import *
>>> X = InfinitePolynomialRing(QQ)
>>> x = X.gen()
>>> x[Integer(1)]
x_1
>>> X.gen() is X.gen(Integer(0))
True
>>> XX = InfinitePolynomialRing(GF(Integer(5)))
>>> XX.gen(Integer(0)) is XX.gen()
True
gens_dict()[source]

Return a dictionary-like object containing the infinitely many {var_name:variable} pairs.

EXAMPLES:

sage: R = InfinitePolynomialRing(ZZ, 'a')
sage: D = R.gens_dict()
sage: D
GenDict of Infinite polynomial ring in a over Integer Ring
sage: D['a_5']
a_5

>>> from sage.all import *
>>> R = InfinitePolynomialRing(ZZ, 'a')
>>> D = R.gens_dict()
>>> D
GenDict of Infinite polynomial ring in a over Integer Ring
>>> D['a_5']
a_5
is_field(*args, **kwds)[source]

Return False since Infinite Polynomial Rings are never fields.

Since Infinite Polynomial Rings must have at least one generator, they have infinitely many variables and thus never are fields.

EXAMPLES:

sage: R.<x, y> = InfinitePolynomialRing(QQ)
sage: R.is_field()
False

>>> from sage.all import *
>>> R = InfinitePolynomialRing(QQ, names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.is_field()
False
is_integral_domain(*args, **kwds)[source]

An infinite polynomial ring is an integral domain if and only if the base ring is. Arguments are passed to is_integral_domain method of base ring.

EXAMPLES:

sage: R.<x, y> = InfinitePolynomialRing(QQ)
sage: R.is_integral_domain()
True

>>> from sage.all import *
>>> R = InfinitePolynomialRing(QQ, names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.is_integral_domain()
True
is_noetherian()[source]

Return False, since polynomial rings in infinitely many variables are never Noetherian rings.

Since Infinite Polynomial Rings must have at least one generator, they have infinitely many variables and are thus not Noetherian, as a ring.

Note

Infinite Polynomial Rings over a field \(F\) are Noetherian as \(F(G)\) modules, where \(G\) is the symmetric group of the natural numbers. But this is not what the method is_noetherian() is answering.

key_basis()[source]

Return the basis of self given by key polynomials.

EXAMPLES:

sage: R.<x> = InfinitePolynomialRing(GF(2))
sage: R.key_basis()                                                         # needs sage.combinat sage.modules
Key polynomial basis over Finite Field of size 2

>>> from sage.all import *
>>> R = InfinitePolynomialRing(GF(Integer(2)), names=('x',)); (x,) = R._first_ngens(1)
>>> R.key_basis()                                                         # needs sage.combinat sage.modules
Key polynomial basis over Finite Field of size 2
krull_dimension(*args, **kwds)[source]

Return Infinity, since polynomial rings in infinitely many variables have infinite Krull dimension.

EXAMPLES:

sage: R.<x, y> = InfinitePolynomialRing(QQ)
sage: R.krull_dimension()
+Infinity

>>> from sage.all import *
>>> R = InfinitePolynomialRing(QQ, names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.krull_dimension()
+Infinity
ngens()[source]

Return the number of generators for this ring.

Since there are countably infinitely many variables in this polynomial ring, by ‘generators’ we mean the number of infinite families of variables. See infinite_polynomial_ring for more details.

EXAMPLES:

sage: X.<x> = InfinitePolynomialRing(ZZ)
sage: X.ngens()
1

sage: X.<x1,x2> = InfinitePolynomialRing(QQ)
sage: X.ngens()
2

>>> from sage.all import *
>>> X = InfinitePolynomialRing(ZZ, names=('x',)); (x,) = X._first_ngens(1)
>>> X.ngens()
1

>>> X = InfinitePolynomialRing(QQ, names=('x1', 'x2',)); (x1, x2,) = X._first_ngens(2)
>>> X.ngens()
2
one()[source]
order()[source]

Return Infinity, since polynomial rings have infinitely many elements.

EXAMPLES:

sage: R.<x> = InfinitePolynomialRing(GF(2))
sage: R.order()
+Infinity

>>> from sage.all import *
>>> R = InfinitePolynomialRing(GF(Integer(2)), names=('x',)); (x,) = R._first_ngens(1)
>>> R.order()
+Infinity
tensor_with_ring(R)[source]

Return the tensor product of self with another ring.

INPUT:

  • R – a ring

OUTPUT:

An infinite polynomial ring that, mathematically, can be seen as the tensor product of self with R.

NOTE:

It is required that the underlying ring of self coerces into R. Hence, the tensor product is in fact merely an extension of the base ring.

EXAMPLES:

sage: R.<a,b> = InfinitePolynomialRing(ZZ)
sage: R.tensor_with_ring(QQ)
Infinite polynomial ring in a, b over Rational Field
sage: R
Infinite polynomial ring in a, b over Integer Ring

>>> from sage.all import *
>>> R = InfinitePolynomialRing(ZZ, names=('a', 'b',)); (a, b,) = R._first_ngens(2)
>>> R.tensor_with_ring(QQ)
Infinite polynomial ring in a, b over Rational Field
>>> R
Infinite polynomial ring in a, b over Integer Ring

The following tests against a bug that was fixed at Issue #10468:

sage: R.<x,y> = InfinitePolynomialRing(QQ)
sage: R.tensor_with_ring(QQ) is R
True

>>> from sage.all import *
>>> R = InfinitePolynomialRing(QQ, names=('x', 'y',)); (x, y,) = R._first_ngens(2)
>>> R.tensor_with_ring(QQ) is R
True
varname_key(x)[source]

Key for comparison of variable names.

INPUT:

  • x – string of the form a+'_'+str(n), where a is the name of a generator, and n is an integer

OUTPUT: a key used to sort the variables

THEORY:

The order is defined as follows:

x<y \(\iff\) the string x.split('_')[0] is later in the list of generator names of self than y.split('_')[0], or (x.split('_')[0]==y.split('_')[0] and int(x.split('_')[1])<int(y.split('_')[1]))

EXAMPLES:

sage: X.<alpha,beta> = InfinitePolynomialRing(ZZ)
sage: X.varname_key('alpha_1')
(0, 1)
sage: X.varname_key('beta_10')
(-1, 10)
sage: X.varname_key('beta_1')
(-1, 1)
sage: X.varname_key('alpha_10')
(0, 10)
sage: X.varname_key('alpha_1')
(0, 1)
sage: X.varname_key('alpha_10')
(0, 10)

>>> from sage.all import *
>>> X = InfinitePolynomialRing(ZZ, names=('alpha', 'beta',)); (alpha, beta,) = X._first_ngens(2)
>>> X.varname_key('alpha_1')
(0, 1)
>>> X.varname_key('beta_10')
(-1, 10)
>>> X.varname_key('beta_1')
(-1, 1)
>>> X.varname_key('alpha_10')
(0, 10)
>>> X.varname_key('alpha_1')
(0, 1)
>>> X.varname_key('alpha_10')
(0, 10)