Elements of Infinite Polynomial Rings¶
AUTHORS:
- Simon King <simon.king@nuigalway.ie>
- Mike Hansen <mhansen@gmail.com>
An Infinite Polynomial Ring has generators
, so
that the variables are of the form
(see infinite_polynomial_ring).
Using the generators, we can create elements as follows:
sage: X.<x,y> = InfinitePolynomialRing(QQ)
sage: a = x[3]
sage: b = y[4]
sage: a
x_3
sage: b
y_4
sage: c = a*b+a^3-2*b^4
sage: c
x_3^3 + x_3*y_4 - 2*y_4^4
Any Infinite Polynomial Ring X is equipped with a monomial ordering.
We only consider monomial orderings in which:
X.gen(i)[m] > X.gen(j)[n]![]()
i<j, ori==jandm>n
Under this restriction, the monomial ordering can be lexicographic (default), degree lexicographic, or degree reverse lexicographic. Here, the ordering is lexicographic, and elements can be compared as usual:
sage: X._order
'lex'
sage: a > b
True
Note that, when a method is called that is not directly implemented
for ‘InfinitePolynomial’, it is tried to call this method for the
underlying classical polynomial. This holds, e.g., when applying the
latex function:
sage: latex(c)
x_{3}^{3} + x_{3} y_{4} - 2 y_{4}^{4}
There is a permutation action on Infinite Polynomial Rings by permuting the indices of the variables:
sage: P = Permutation(((4,5),(2,3)))
sage: c^P
x_2^3 + x_2*y_5 - 2*y_5^4
Note that P(0)==0, and thus variables of index zero are invariant
under the permutation action. More generally, if P is any
callable object that accepts non-negative integers as input and
returns non-negative integers, then c^P means to apply P to
the variable indices occurring in c.
TESTS:
We test whether coercion works, even in complicated cases in which finite polynomial rings are merged with infinite polynomial rings:
sage: A.<a> = InfinitePolynomialRing(ZZ,implementation='sparse',order='degrevlex')
sage: B.<b_2,b_1> = A[]
sage: C.<b,c> = InfinitePolynomialRing(B,order='degrevlex')
sage: C
Infinite polynomial ring in b, c over Infinite polynomial ring in a over Integer Ring
sage: 1/2*b_1*a[4]+c[3]
1/2*a_4*b_1 + c_3
-
sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial(A, p)¶ Create an element of a Polynomial Ring with a Countably Infinite Number of Variables.
Usually, an InfinitePolynomial is obtained by using the generators of an Infinite Polynomial Ring (see
infinite_polynomial_ring) or by conversion.INPUT:
A– an Infinite Polynomial Ring.p– a classical polynomial that can be interpreted inA.
ASSUMPTIONS:
In the dense implementation, it must be ensured that the argument
pcoerces intoA._Pby a name preserving conversion map.In the sparse implementation, in the direct construction of an infinite polynomial, it is not tested whether the argument
pmakes sense inA.EXAMPLES:
sage: from sage.rings.polynomial.infinite_polynomial_element import InfinitePolynomial sage: X.<alpha> = InfinitePolynomialRing(ZZ) sage: P.<alpha_1,alpha_2> = ZZ[]
Currently,
PandX._P(the underlying polynomial ring ofX) both have two variables:sage: X._P Multivariate Polynomial Ring in alpha_1, alpha_0 over Integer Ring
By default, a coercion from
PtoX._Pwould not be name preserving. However, this is taken care for; a name preserving conversion is impossible, and by consequence an error is raised:sage: InfinitePolynomial(X, (alpha_1+alpha_2)^2) Traceback (most recent call last): ... TypeError: Could not find a mapping of the passed element to this ring.
When extending the underlying polynomial ring, the construction of an infinite polynomial works:
sage: alpha[2] alpha_2 sage: InfinitePolynomial(X, (alpha_1+alpha_2)^2) alpha_2^2 + 2*alpha_2*alpha_1 + alpha_1^2
In the sparse implementation, it is not checked whether the polynomial really belongs to the parent:
sage: Y.<alpha,beta> = InfinitePolynomialRing(GF(2), implementation='sparse') sage: a = (alpha_1+alpha_2)^2 sage: InfinitePolynomial(Y, a) alpha_1^2 + 2*alpha_1*alpha_2 + alpha_2^2
However, it is checked when doing a conversion:
sage: Y(a) alpha_2^2 + alpha_1^2
-
class
sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_dense(A, p)¶ Bases:
sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_sparseElement of a dense Polynomial Ring with a Countably Infinite Number of Variables.
INPUT:
A– an Infinite Polynomial Ring in dense implementationp– a classical polynomial that can be interpreted inA.
Of course, one should not directly invoke this class, but rather construct elements of
Ain the usual way.This class inherits from
InfinitePolynomial_sparse. See there for a description of the methods.
-
class
sage.rings.polynomial.infinite_polynomial_element.InfinitePolynomial_sparse(A, p)¶ Bases:
sage.structure.element.RingElementElement of a sparse Polynomial Ring with a Countably Infinite Number of Variables.
INPUT:
A– an Infinite Polynomial Ring in sparse implementationp– a classical polynomial that can be interpreted inA.
Of course, one should not directly invoke this class, but rather construct elements of
Ain the usual way.EXAMPLES:
sage: A.<a> = QQ[] sage: B.<b,c> = InfinitePolynomialRing(A,implementation='sparse') sage: p = a*b[100] + 1/2*c[4] sage: p a*b_100 + 1/2*c_4 sage: p.parent() Infinite polynomial ring in b, c over Univariate Polynomial Ring in a over Rational Field sage: p.polynomial().parent() Multivariate Polynomial Ring in b_100, b_0, c_4, c_0 over Univariate Polynomial Ring in a over Rational Field
-
coefficient(monomial)¶ Returns the coefficient of a monomial in this polynomial.
INPUT:
- A monomial (element of the parent of self) or
- a dictionary that describes a monomial (the keys are variables of the parent of self, the values are the corresponding exponents)
EXAMPLES:
We can get the coefficient in front of monomials:
sage: X.<x> = InfinitePolynomialRing(QQ) sage: a = 2*x[0]*x[1] + x[1] + x[2] sage: a.coefficient(x[0]) 2*x_1 sage: a.coefficient(x[1]) 2*x_0 + 1 sage: a.coefficient(x[2]) 1 sage: a.coefficient(x[0]*x[1]) 2
We can also pass in a dictionary:
sage: a.coefficient({x[0]:1, x[1]:1}) 2
-
footprint()¶ Leading exponents sorted by index and generator.
OUTPUT:
D– a dictionary whose keys are the occurring variable indices.D[s]is a list[i_1,...,i_n], wherei_jgives the exponent ofself.parent().gen(j)[s]in the leading term ofself.EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p = x[30]*y[1]^3*x[1]^2+2*x[10]*y[30] sage: sorted(p.footprint().items()) [(1, [2, 3]), (30, [1, 0])]
TESTS:
This is a test whether it also works when the underlying polynomial ring is not implemented in libsingular:
sage: X.<x> = InfinitePolynomialRing(ZZ) sage: Y.<y,z> = X[] sage: Z.<a> = InfinitePolynomialRing(Y) sage: Z Infinite polynomial ring in a over Multivariate Polynomial Ring in y, z over Infinite polynomial ring in x over Integer Ring sage: type(Z._P) <class 'sage.rings.polynomial.multi_polynomial_ring.MPolynomialRing_polydict_with_category'> sage: p = a[12]^3*a[2]^7*a[4] + a[4]*a[2] sage: sorted(p.footprint().items()) [(2, [7]), (4, [1]), (12, [3])]
-
gcd(x)¶ computes the greatest common divisor
EXAMPLES:
sage: R.<x>=InfinitePolynomialRing(QQ) sage: p1=x[0]+x[1]**2 sage: gcd(p1,p1+3) 1 sage: gcd(p1,p1)==p1 True
-
is_unit()¶ Answers whether
selfis a unitEXAMPLES:
sage: R1.<x,y> = InfinitePolynomialRing(ZZ) sage: R2.<x,y> = InfinitePolynomialRing(QQ) sage: p = 1 + x[2] sage: R1.<x,y> = InfinitePolynomialRing(ZZ) sage: R2.<a,b> = InfinitePolynomialRing(QQ) sage: (1+x[2]).is_unit() False sage: R1(1).is_unit() True sage: R1(2).is_unit() False sage: R2(2).is_unit() True sage: (1+a[2]).is_unit() False
TESTS:
sage: R.<x> = InfinitePolynomialRing(ZZ.quotient_ring(8)) sage: [R(i).is_unit() for i in range(8)] [False, True, False, True, False, True, False, True]
-
lc()¶ The coefficient of the leading term of
self.EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p = 2*x[10]*y[30]+3*x[10]*y[1]^3*x[1]^2 sage: p.lc() 3
-
lm()¶ The leading monomial of
self.EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p = 2*x[10]*y[30]+x[10]*y[1]^3*x[1]^2 sage: p.lm() x_10*x_1^2*y_1^3
-
lt()¶ The leading term (= product of coefficient and monomial) of
self.EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p = 2*x[10]*y[30]+3*x[10]*y[1]^3*x[1]^2 sage: p.lt() 3*x_10*x_1^2*y_1^3
-
max_index()¶ Return the maximal index of a variable occurring in
self, or -1 ifselfis scalar.EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p=x[1]^2+y[2]^2+x[1]*x[2]*y[3]+x[1]*y[4] sage: p.max_index() 4 sage: x[0].max_index() 0 sage: X(10).max_index() -1
-
polynomial()¶ Return the underlying polynomial.
EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(GF(7)) sage: p=x[2]*y[1]+3*y[0] sage: p x_2*y_1 + 3*y_0 sage: p.polynomial() x_2*y_1 + 3*y_0 sage: p.polynomial().parent() Multivariate Polynomial Ring in x_2, x_1, x_0, y_2, y_1, y_0 over Finite Field of size 7 sage: p.parent() Infinite polynomial ring in x, y over Finite Field of size 7
-
reduce(I, tailreduce=False, report=None)¶ Symmetrical reduction of
selfwith respect to a symmetric ideal (or list of Infinite Polynomials).INPUT:
I– aSymmetricIdealor a list of Infinite Polynomials.tailreduce– (bool, defaultFalse) Tail reduction is performed if this parameter isTrue.report– (object, defaultNone) If notNone, some information on the progress of computation is printed, since reduction of huge polynomials may take a long time.
OUTPUT:
Symmetrical reduction of
selfwith respect toI, possibly with tail reduction.THEORY:
Reducing an element
of an Infinite Polynomial Ring
by
some other element
means the following:- Let
and
be the leading terms of
and
. - Test whether there is a permutation
that does not does not diminish the variable
indices occurring in
and preserves their order, so that there is some term
with
. If there is no such permutation, return 
- Replace
by
and continue with step 1.
EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p = y[1]^2*y[3]+y[2]*x[3]^3 sage: p.reduce([y[2]*x[1]^2]) x_3^3*y_2 + y_3*y_1^2
The preceding is correct: If a permutation turns
y[2]*x[1]^2into a factor of the leading monomialy[2]*x[3]^3ofp, then it interchanges the variable indices 1 and 2; this is not allowed in a symmetric reduction. However, reduction byy[1]*x[2]^2works, since one can change variable index 1 into 2 and 2 into 3:sage: p.reduce([y[1]*x[2]^2]) y_3*y_1^2
The next example shows that tail reduction is not done, unless it is explicitly advised. The input can also be a Symmetric Ideal:
sage: I = (y[3])*X sage: p.reduce(I) x_3^3*y_2 + y_3*y_1^2 sage: p.reduce(I, tailreduce=True) x_3^3*y_2
Last, we demonstrate the
reportoption:sage: p=x[1]^2+y[2]^2+x[1]*x[2]*y[3]+x[1]*y[4] sage: p.reduce(I, tailreduce=True, report=True) :T[2]:> > x_1^2 + y_2^2
The output ‘:’ means that there was one reduction of the leading monomial. ‘T[2]’ means that a tail reduction was performed on a polynomial with two terms. At ‘>’, one round of the reduction process is finished (there could only be several non-trivial rounds if
was generated by more than one
polynomial).
-
ring()¶ The ring which
selfbelongs to.This is the same as
self.parent().EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(ZZ,implementation='sparse') sage: p = x[100]*y[1]^3*x[1]^2+2*x[10]*y[30] sage: p.ring() Infinite polynomial ring in x, y over Integer Ring
-
squeezed()¶ Reduce the variable indices occurring in
self.OUTPUT:
Apply a permutation to
selfthat does not change the order of the variable indices ofselfbut squeezes them into the range 1,2,...EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ,implementation='sparse') sage: p = x[1]*y[100] + x[50]*y[1000] sage: p.squeezed() x_2*y_4 + x_1*y_3
-
stretch(k)¶ Stretch
selfby a given factor.INPUT:
k– an integer.OUTPUT:
Replace
with
for all generators
occurring in self.EXAMPLES:
sage: X.<x> = InfinitePolynomialRing(QQ) sage: a = x[0] + x[1] + x[2] sage: a.stretch(2) x_4 + x_2 + x_0 sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: a = x[0] + x[1] + y[0]*y[1]; a x_1 + x_0 + y_1*y_0 sage: a.stretch(2) x_2 + x_0 + y_2*y_0
TESTS:
The following would hardly work in a dense implementation, because an underlying polynomial ring with 6001 variables would be created. This is avoided in the sparse implementation:
sage: X.<x> = InfinitePolynomialRing(QQ, implementation='sparse') sage: a = x[2] + x[3] sage: a.stretch(2000) x_6000 + x_4000
-
symmetric_cancellation_order(other)¶ Comparison of leading terms by Symmetric Cancellation Order,
.INPUT:
self, other – two Infinite Polynomials
ASSUMPTION:
Both Infinite Polynomials are non-zero.
OUTPUT:
(c, sigma, w), where- c = -1,0,1, or None if the leading monomial of
selfis smaller, equal, greater, or incomparable with respect tootherin the monomial ordering of the Infinite Polynomial Ring - sigma is a permutation witnessing
self
other(resp.self
other) or is 1 ifself.lm()==other.lm() - w is 1 or is a term so that
w*self.lt()^sigma == other.lt()if
, and
w*other.lt()^sigma == self.lt()if
THEORY:
If the Symmetric Cancellation Order is a well-quasi-ordering then computation of Groebner bases always terminates. This is the case, e.g., if the monomial order is lexicographic. For that reason, lexicographic order is our default order.
EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: (x[2]*x[1]).symmetric_cancellation_order(x[2]^2) (None, 1, 1) sage: (x[2]*x[1]).symmetric_cancellation_order(x[2]*x[3]*y[1]) (-1, [2, 3, 1], y_1) sage: (x[2]*x[1]*y[1]).symmetric_cancellation_order(x[2]*x[3]*y[1]) (None, 1, 1) sage: (x[2]*x[1]*y[1]).symmetric_cancellation_order(x[2]*x[3]*y[2]) (-1, [2, 3, 1], 1)
- c = -1,0,1, or None if the leading monomial of
-
tail()¶ The tail of
self(this isselfminus its leading term).EXAMPLES:
sage: X.<x,y> = InfinitePolynomialRing(QQ) sage: p = 2*x[10]*y[30]+3*x[10]*y[1]^3*x[1]^2 sage: p.tail() 2*x_10*y_30
-
variables()¶ Return the variables occurring in
self(tuple of elements of some polynomial ring).EXAMPLES:
sage: X.<x> = InfinitePolynomialRing(QQ) sage: p = x[1] + x[2] - 2*x[1]*x[3] sage: p.variables() (x_3, x_2, x_1) sage: x[1].variables() (x_1,) sage: X(1).variables() ()
