Creating Multivariate Rings
In this section, for the convenience of the reader, we recall from the chapters on rings and fields how to create multivariate polynomial rings and their elements, adding illustrating examples. At the same time, we introduce and illustrate a ring type for modelling multivariate polynomial rings with gradings.
Types
OSCAR provides types for dense univariate and sparse multivariate polynomials. The univariate ring types belong to the abstract type PolyRing{T}
, their elements have abstract type PolyRingElem{T}
. The multivariate ring types belong to the abstract type MPolyRing{T}
, their elements have abstract type MPolyRingElem{T}
. Here, T
is the element type of the coefficient ring of the polynomial ring.
Constructors
The basic constructor below allows one to build multivariate polynomial rings:
polynomial_ring(C::Ring, xs::AbstractVector{<:VarName}; cached::Bool = true)
Given a ring C
and a vector xs
of Symbols, Strings, or Characters, return a tuple R, vars
, say, which consists of a polynomial ring R
with coefficient ring C
and a vector vars
of generators (variables) which print according to the entries of xs
.
Caching is used to ensure that a given ring constructed from given parameters is unique in the system. For example, there is only one ring of multivariate polynomials over $\mathbb{Z}$ with variables printing as x, y, z.
Examples
julia> R, (x, y, z) = polynomial_ring(ZZ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over ZZ, ZZMPolyRingElem[x, y, z])
julia> typeof(R)
ZZMPolyRing
julia> typeof(x)
ZZMPolyRingElem
julia> S, (a, b, c) = polynomial_ring(ZZ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over ZZ, ZZMPolyRingElem[x, y, z])
julia> T, _ = polynomial_ring(ZZ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over ZZ, ZZMPolyRingElem[x, y, z])
julia> R === S === T
true
julia> R1, _ = polynomial_ring(ZZ, [:x, :y, :z]);
julia> R2, _ = polynomial_ring(ZZ, ["x", "y", "z"]);
julia> R3, _ = polynomial_ring(ZZ, ['x', 'y', 'z']);
julia> R1 === R2 === R3
true
julia> R1, x = polynomial_ring(QQ, [:x])
(Multivariate polynomial ring in 1 variable over QQ, QQMPolyRingElem[x])
julia> typeof(x)
Vector{QQMPolyRingElem} (alias for Array{QQMPolyRingElem, 1})
julia> R2, (x,) = polynomial_ring(QQ, [:x])
(Multivariate polynomial ring in 1 variable over QQ, QQMPolyRingElem[x])
julia> typeof(x)
QQMPolyRingElem
julia> R3, x = polynomial_ring(QQ, :x)
(Univariate polynomial ring in x over QQ, x)
julia> typeof(x)
QQPolyRingElem
julia> T, x = polynomial_ring(GF(3), ["x[1]", "x[2]"]);
julia> x
2-element Vector{FqMPolyRingElem}:
x[1]
x[2]
The constructor illustrated below allows for the convenient handling of variables with multi-indices:
julia> R, x, y, z = polynomial_ring(QQ, :x => (1:3, 1:4), :y => 1:2, :z => (1:1, 1:1, 1:1));
julia> x
3×4 Matrix{QQMPolyRingElem}:
x[1, 1] x[1, 2] x[1, 3] x[1, 4]
x[2, 1] x[2, 2] x[2, 3] x[2, 4]
x[3, 1] x[3, 2] x[3, 3] x[3, 4]
julia> y
2-element Vector{QQMPolyRingElem}:
y[1]
y[2]
julia> z
1×1×1 Array{QQMPolyRingElem, 3}:
[:, :, 1] =
z[1, 1, 1]
Coefficient Rings
Gröbner and standard bases are implemented for multivariate polynomial rings over the fields and rings below:
The field of rational numbers $\mathbb{Q}$
julia> QQ
Rational field
Finite fields $\mathbb{F_p}$, $p$ a prime
julia> GF(3)
Prime field of characteristic 3
julia> GF(ZZ(2)^127 - 1)
Prime field of characteristic 170141183460469231731687303715884105727
Finite fields $\mathbb{F}_{p^n}$ with $p^n$ elements, $p$ a prime
julia> finite_field(2, 70, "a")
(Finite field of degree 70 and characteristic 2, a)
Simple algebraic extensions of $\mathbb{Q}$ or $\mathbb{F}_p$
julia> T, t = polynomial_ring(QQ, :t)
(Univariate polynomial ring in t over QQ, t)
julia> K, a = number_field(t^2 + 1, "a")
(Number field of degree 2 over QQ, a)
julia> F = GF(3)
Prime field of characteristic 3
julia> T, t = polynomial_ring(F, :t)
(Univariate polynomial ring in t over F, t)
julia> K, a = finite_field(t^2 + 1, "a")
(Finite field of degree 2 and characteristic 3, a)
Purely transcendental extensions of $\mathbb{Q}$ or $\mathbb{F}_p$
julia> T, t = polynomial_ring(QQ, :t)
(Univariate polynomial ring in t over QQ, t)
julia> QT = fraction_field(T)
Fraction field
of univariate polynomial ring in t over QQ
julia> parent(t)
Univariate polynomial ring in t over QQ
julia> parent(1//t)
Fraction field
of univariate polynomial ring in t over QQ
julia> T, (s, t) = polynomial_ring(GF(3), [:s, :t]);
julia> QT = fraction_field(T)
Fraction field
of multivariate polynomial ring in 2 variables over GF(3)
The ring of integers $\mathbb{Z}$
julia> ZZ
Integer ring
Gradings
Given a polynomial ring $R = C[x_1, \dots, x_n]$, we may endow $R$ with various gradings. The standard $\mathbb Z$-grading on $R$ is the decomposition $R=\bigoplus_{d\in \mathbb Z} R_d=\bigoplus_{d\geq 0} R_d$ by the usual degree of polynomials. More general $\mathbb Z$-gradings are obtained by assigning integer weights to the variables and considering the corresponding weighted degrees. Even more generally, we may consider multigradings: Given a finitely generated abelian group $G$, a multigrading on $R$ by $G$, or a $G$-grading, or simply a grading, corresponds to a semigroup homomorphism $\phi: \mathbb N^n \to G$: Given $\phi$, the degree of a monomial $x^\alpha$ is the image $\deg(x^\alpha):=\phi(\alpha)\in G$; the induced $G$-grading on $R$ is the decomposition $R = \bigoplus_{g\in G} R_g$ satisfying $R_g\cdot R_h\subset R_{g+h}$, where $R_g$ is the free $C$-module generated by the monomials of degree $g$. This grading is determined by assigning the weights $\deg(x_i)$ to the $x_i$. In other words, it is determined by the weight vector $W = (\deg(x_1), \dots, \deg(x_n))\in G^n.$
We refer to the textbooks [MS05] and [KR05] for details on multigradings. With respect to notation, we follow the former book.
Given a $G$-grading on $R$, we refer to $G$ as the grading group of $R$. Moreover, we then say that $R$ is $G$-graded, or simply that $R$ is graded. If $R$ is a polynomial ring over a field, we say that a $G$-grading on $R$ is positive if $G$ is free and each graded part $R_g$, $g\in G$, has finite dimension. We then also say that $R$ is positively graded (by $G$). Note that the positivity condition can be equivalently expressed by asking that $G$ is free and that the degree zero part consists of the constants only (see Theorem 8.6 in [MS05]).
Given a G
-grading on R
in OSCAR, we say that R
is $\mathbb Z^m$-graded if is_free(G) && number_of_generators(G) == rank(G) == m
evaluates to true
. In this case, conversion routines allow one to switch back and forth between elements of G
and integer vectors of length m
. Specifically, if R
is $\mathbb Z$-graded, that is, is_free(G) && number_of_generators(G) == rank(G) == 1
evaluates to true
, elements of G
may be converted to integers and vice versa.
Types
Multivariate rings with gradings are modeled by objects of type MPolyDecRing{T, S} :< MPolyRing{T}
, with elements of type MPolyRingElem_dec{T, S} :< MPolyRingElem{T}
. Here, S
is the element type of the multivariate ring, and T
is the element type of its coefficient ring as above.
The types MPolyDecRing{T, S}
and MPolyRingElem_dec{T, S}
are also meant to eventually model multivariate rings with filtrations and their elements.
The following function allows one, in particular, to distinguish between graded and filtered rings.
is_graded
— Methodis_graded(R::MPolyRing)
Return true
if R
is graded, false
otherwise.
Constructors for Graded Rings
There are two basic ways of creating multivariate rings with gradings: While the grade
function allows one to create a graded ring by assigning a grading to a polynomial ring already constructed, the graded_polynomial_ring
function is meant to create a graded polynomial ring all at once.
grade
— Methodgrade(R::MPolyRing, W::Vector{FinGenAbGroupElem})
Given a vector W
of ngens(R)
elements of a finitely presented group G
, say, create a G
-graded ring by assigning the entries of W
as weights to the variables of R
. Return the new ring as an object of type MPolyDecRing
, together with the vector of variables.
Examples
julia> R, (t, x, y) = polynomial_ring(QQ, [:t, :x, :y])
(Multivariate polynomial ring in 3 variables over QQ, QQMPolyRingElem[t, x, y])
julia> typeof(R)
QQMPolyRing
julia> typeof(x)
QQMPolyRingElem
julia> G = abelian_group([0])
Z
julia> g = gen(G, 1)
Abelian group element [1]
julia> S, (t, x, y) = grade(R, [-g, g, g])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[t, x, y])
julia> typeof(S)
MPolyDecRing{QQFieldElem, QQMPolyRing}
julia> S isa MPolyRing
true
julia> typeof(x)
MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}
julia> R, x, y = polynomial_ring(QQ, :x => 1:2, :y => 1:3)
(Multivariate polynomial ring in 5 variables over QQ, QQMPolyRingElem[x[1], x[2]], QQMPolyRingElem[y[1], y[2], y[3]])
julia> G = abelian_group([0, 0])
Z^2
julia> g = gens(G)
2-element Vector{FinGenAbGroupElem}:
[1, 0]
[0, 1]
julia> W = [g[1], g[1], g[2], g[2], g[2]];
julia> S, _ = grade(R, W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], y[1], y[2], y[3]])
julia> typeof(x[1])
QQMPolyRingElem
julia> x = map(S, x)
2-element Vector{MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}}:
x[1]
x[2]
julia> y = map(S, y)
3-element Vector{MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}}:
y[1]
y[2]
y[3]
julia> typeof(x[1])
MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}
julia> R, x = polynomial_ring(QQ, :x => 1:5)
(Multivariate polynomial ring in 5 variables over QQ, QQMPolyRingElem[x[1], x[2], x[3], x[4], x[5]])
julia> G = abelian_group([0, 0, 2, 2])
Finitely generated abelian group
with 4 generators and 4 relations and relation matrix
[0 0 0 0]
[0 0 0 0]
[0 0 2 0]
[0 0 0 2]
julia> g = gens(G);
julia> W = [g[1]+g[3]+g[4], g[2]+g[4], g[1]+g[3], g[2], g[1]+g[2]]
5-element Vector{FinGenAbGroupElem}:
[1, 0, 1, 1]
[0, 1, 0, 1]
[1, 0, 1, 0]
[0, 1, 0, 0]
[1, 1, 0, 0]
julia> S, x = grade(R, W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4], x[5]])
grade
— Methodgrade(R::MPolyRing, W::AbstractVector{<:AbstractVector{<:IntegerUnion}})
Given a vector W
of ngens(R)
integer vectors of the same size m
, say, create a free abelian group of type FinGenAbGroup
given by m
free generators, and convert the vectors in W
to elements of that group. Then create a $\mathbb Z^m$-graded ring by assigning the group elements as weights to the variables of R
, and return the new ring, together with the vector of variables.
grade(R::MPolyRing, W::Union{ZZMatrix, AbstractMatrix{<:IntegerUnion}})
As above, converting the columns of W
.
Examples
julia> R, x, y = polynomial_ring(QQ, :x => 1:2, :y => 1:3)
(Multivariate polynomial ring in 5 variables over QQ, QQMPolyRingElem[x[1], x[2]], QQMPolyRingElem[y[1], y[2], y[3]])
julia> W = [1 1 0 0 0; 0 0 1 1 1]
2×5 Matrix{Int64}:
1 1 0 0 0
0 0 1 1 1
julia> grade(R, W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], y[1], y[2], y[3]])
grade
— Methodgrade(R::MPolyRing, W::AbstractVector{<:IntegerUnion})
Given a vector W
of ngens(R)
integers, create a free abelian group of type FinGenAbGroup
given by one free generator, and convert the entries of W
to elements of that group. Then create a $\mathbb Z$-graded ring by assigning the group elements as weights to the variables of R
, and return the new ring, together with the vector of variables.
grade(R::MPolyRing)
As above, where the grading is the standard $\mathbb Z$-grading on R
.
Examples
julia> R, (x, y, z) = polynomial_ring(QQ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over QQ, QQMPolyRingElem[x, y, z])
julia> W = [1, 2, 3];
julia> S, (x, y, z) = grade(R, W)
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> T, (x, y, z) = grade(R)
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
graded_polynomial_ring
— Methodgraded_polynomial_ring(C::Ring, args...; weights, kwargs...)
Create a multivariate polynomial_ring
with coefficient ring C
and variables as described by args...
(using the exact same syntax as polynomial_ring
), and grade
this ring according to the data provided by the keyword argument weights
. Return the graded ring as an object of type MPolyDecRing
, together with the variables.
If weights
is omitted the grading is the standard $\mathbb Z$-grading, i.e. all variables are graded with weight 1
.
Examples
julia> W = [[1, 0], [0, 1], [1, 0], [4, 1]]
4-element Vector{Vector{Int64}}:
[1, 0]
[0, 1]
[1, 0]
[4, 1]
julia> R, x = graded_polynomial_ring(QQ, 4, :x; weights = W)
(Graded multivariate polynomial ring in 4 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x1, x2, x3, x4])
julia> S, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z]; weights = [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> T, x = graded_polynomial_ring(QQ, :x => 1:3)
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3]])
julia> T, x, y = graded_polynomial_ring(QQ, :x => 1:3, :y => (1:2, 1:2); weights=1:7)
(Graded multivariate polynomial ring in 7 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3]], MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[y[1, 1] y[1, 2]; y[2, 1] y[2, 2]])
Tests on Graded Rings
is_standard_graded
— Methodis_standard_graded(R::MPolyDecRing)
Return true
if R
is standard $\mathbb Z$-graded, false
otherwise.
Examples
julia> S, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z]; weights = [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> is_standard_graded(S)
false
is_z_graded
— Methodis_z_graded(R::MPolyDecRing)
Return true
if R
is $\mathbb Z$-graded, false
otherwise.
Writing G = grading_group(R)
, we say that R
is $\mathbb Z$-graded if G
is free abelian of rank 1
, and ngens(G) == 1
.
Examples
julia> S, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z]; weights = [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> is_z_graded(S)
true
is_zm_graded
— Methodis_zm_graded(R::MPolyDecRing)
Return true
if R
is $\mathbb Z^m$-graded for some $m$, false
otherwise.
Writing G = grading_group(R)
, we say that R
is $\mathbb Z^m$-graded G
is free abelian of rank m
, and ngens(G) == m
.
Examples
julia> G = abelian_group([0, 0, 2, 2])
Finitely generated abelian group
with 4 generators and 4 relations and relation matrix
[0 0 0 0]
[0 0 0 0]
[0 0 2 0]
[0 0 0 2]
julia> W = [G[1]+G[3]+G[4], G[2]+G[4], G[1]+G[3], G[2], G[1]+G[2]];
julia> S, x = graded_polynomial_ring(QQ, :x => 1:5; weights=W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4], x[5]])
julia> is_zm_graded(S)
false
julia> G = abelian_group(ZZMatrix([1 -1]));
julia> g = gen(G, 1)
Abelian group element [0, 1]
julia> W = [g, g, g, g];
julia> R, (w, x, y, z) = graded_polynomial_ring(QQ, [:w, :x, :y, :z], W);
julia> is_free(G)
true
julia> is_zm_graded(R)
false
is_positively_graded
— Methodis_positively_graded(R::MPolyDecRing)
Return true
if R
is positively graded, false
otherwise.
We say that R
is positively graded by a finitely generated abelian group $G$ if the coefficient ring of R
is a field, $G$ is free, and each graded part $R_g$, $g\in G$, has finite dimension.
Examples
julia> S, (t, x, y) = graded_polynomial_ring(QQ, [:t, :x, :y]; weights = [-1, 1, 1])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[t, x, y])
julia> is_positively_graded(S)
false
julia> G = abelian_group([0, 2])
Finitely generated abelian group
with 2 generators and 2 relations and relation matrix
[0 0]
[0 2]
julia> W = [gen(G, 1)+gen(G, 2), gen(G, 1)]
2-element Vector{FinGenAbGroupElem}:
[1, 1]
[1, 0]
julia> S, (x, y) = graded_polynomial_ring(QQ, [:x, :y]; weights = W)
(Graded multivariate polynomial ring in 2 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y])
julia> is_positively_graded(S)
false
Data Associated to Multivariate Rings
Given a multivariate polynomial ring R
with coefficient ring C
,
coefficient_ring(R)
refers toC
,gens(R)
to the generators (variables) ofR
,number_of_generators(R)
/ngens(R)
to the number of these generators, andgen(R, i)
as well asR[i]
to thei
-th such generator.
Examples
julia> R, (x, y, z) = polynomial_ring(QQ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over QQ, QQMPolyRingElem[x, y, z])
julia> coefficient_ring(R)
Rational field
julia> gens(R)
3-element Vector{QQMPolyRingElem}:
x
y
z
julia> gen(R, 2)
y
julia> R[3]
z
julia> number_of_generators(R)
3
In the graded case, we additionally have:
grading_group
— Methodgrading_group(R::MPolyDecRing)
If R
is, say, G
-graded, then return G
.
Examples
julia> R, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z], [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> grading_group(R)
Z
monomial_basis
— Methodmonomial_basis(R::MPolyDecRing, g::FinGenAbGroupElem)
Given a polynomial ring R
over a field which is graded by a free group of type FinGenAbGroup
, and given an element g
of that group, return the monomials of degree g
in R
.
monomial_basis(R::MPolyDecRing, W::Vector{<:IntegerUnion})
Given a $\mathbb Z^m$-graded polynomial ring R
over a field and a vector W
of $m$ integers, convert W
into an element g
of the grading group of R
and proceed as above.
monomial_basis(R::MPolyDecRing, d::IntegerUnion)
Given a $\mathbb Z$-graded polynomial ring R
over a field and an integer d
, convert d
into an element g
of the grading group of R
and proceed as above.
If the component of the given degree is not finite dimensional, an error message will be thrown.
Examples
julia> T, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z]);
julia> G = grading_group(T)
Z
julia> L = monomial_basis(T, 2)
6-element Vector{MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}}:
z^2
y*z
y^2
x*z
x*y
x^2
homogeneous_component
— Methodhomogeneous_component(R::MPolyDecRing, g::FinGenAbGroupElem)
Given a polynomial ring R
over a field which is graded by a free group, and given an element g
of that group, return the homogeneous component of R
of degree g
as a standard vector space. Additionally, return the map which sends an element of that vector space to the corresponding monomial in R
.
homogeneous_component(R::MPolyDecRing, W::Vector{<:IntegerUnion})
Given a $\mathbb Z^m$-graded polynomial ring R
over a field, and given a vector W
of $m$ integers, convert W
into an element g
of the grading group of R
and proceed as above.
homogeneous_component(R::MPolyDecRing, d::IntegerUnion)
Given a $\mathbb Z$-graded polynomial ring R
over a field, and given an integer d
, convert d
into an element g
of the grading group of R
proceed as above.
If the component is not finite dimensional, an error will be thrown.
Examples
julia> W = [1 1 0 0 0; 0 0 1 1 1]
2×5 Matrix{Int64}:
1 1 0 0 0
0 0 1 1 1
julia> S, _ = graded_polynomial_ring(QQ, :x => 1:2, :y => 1:3; weights = W);
julia> G = grading_group(S)
Z^2
julia> L = homogeneous_component(S, [1, 1]);
julia> L[1]
S_[1 1] of dim 6
julia> FG = gens(L[1]);
julia> EMB = L[2]
Map defined by a julia-function with inverse
from S_[1 1] of dim 6
to graded multivariate polynomial ring in 5 variables over QQ
julia> for i in 1:length(FG) println(EMB(FG[i])) end
x[2]*y[3]
x[2]*y[2]
x[2]*y[1]
x[1]*y[3]
x[1]*y[2]
x[1]*y[1]
forget_grading
— Methodforget_grading(R::MPolyDecRing)
Return the ungraded undecorated ring.
Elements of Multivariate Rings
Constructors
One way to create elements of a multivariate polynomial ring is to build up polynomials from the generators (variables) of the ring using basic arithmetic as shown below:
Examples
julia> R, (x, y, z) = polynomial_ring(QQ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over QQ, QQMPolyRingElem[x, y, z])
julia> f = 3*x^2+y*z
3*x^2 + y*z
julia> typeof(f)
QQMPolyRingElem
julia> S, (x, y, z) = grade(R)
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> g = 3*x^2+y*z
3*x^2 + y*z
julia> typeof(g)
MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}
julia> g == S(f)
true
Alternatively, there is the following constructor:
(R::MPolyRing{T})(c::Vector{T}, e::Vector{Vector{Int}}) where T <: RingElem
Its return value is the element of R
whose nonzero coefficients are specified by the elements of c
, with exponent vectors given by the elements of e
.
Examples
julia> R, (x, y, z) = polynomial_ring(QQ, [:x, :y, :z])
(Multivariate polynomial ring in 3 variables over QQ, QQMPolyRingElem[x, y, z])
julia> f = 3*x^2+y*z
3*x^2 + y*z
julia> g = R(QQ.([3, 1]), [[2, 0, 0], [0, 1, 1]])
3*x^2 + y*z
julia> f == g
true
An often more effective way to create polynomials is to use the MPoly
build context as indicated below:
julia> R, (x, y) = polynomial_ring(QQ, [:x, :y])
(Multivariate polynomial ring in 2 variables over QQ, QQMPolyRingElem[x, y])
julia> B = MPolyBuildCtx(R)
Builder for an element of R
julia> for i = 1:5 push_term!(B, QQ(i), [i, i-1]) end
julia> finish(B)
5*x^5*y^4 + 4*x^4*y^3 + 3*x^3*y^2 + 2*x^2*y + x
Special Elements
Given a multivariate polynomial ring R
, zero(R)
and one(R)
refer to the additive and multiplicative identity of R
, respectively. Relevant test calls on an element f
of R
are iszero(f)
and isone(f)
.
Data Associated to Elements of Multivariate Rings
Given an element f
of a multivariate polynomial ring R
or a graded version of such a ring,
parent(f)
refers toR
, andtotal_degree(f)
to the total degree off
.
Given a set of variables $x = \{x_1, \ldots, x_n\}$, the total degree of a monomial $x^\alpha=x_1^{\alpha_1}\cdots x_n^{\alpha_n}\in\text{Mon}_n(x)$ is the sum of the $\alpha_i$. The total degree of a polynomial f
is the maximum of the total degrees of its monomials. In particular, the notion of total degree ignores the weights given to the variables in the graded case.
For iterators which allow one to recover the monomials (terms, $\dots$) of f
we refer to the subsection Monomials, Terms, and More of the section on Gröbner/Standard Bases.
Examples
julia> R, (x, y) = polynomial_ring(GF(5), [:x, :y])
(Multivariate polynomial ring in 2 variables over GF(5), FqMPolyRingElem[x, y])
julia> c = map(GF(5), [1, 2, 3])
3-element Vector{FqFieldElem}:
1
2
3
julia> e = [[3, 2], [1, 0], [0, 1]]
3-element Vector{Vector{Int64}}:
[3, 2]
[1, 0]
[0, 1]
julia> f = R(c, e)
x^3*y^2 + 2*x + 3*y
julia> parent(f)
Multivariate polynomial ring in 2 variables x, y
over prime field of characteristic 5
julia> total_degree(f)
5
Further functionality is available in the graded case:
homogeneous_components
— Methodhomogeneous_components(f::MPolyDecRingElem{T, S}) where {T, S}
Given an element f
of a graded multivariate ring, return the homogeneous components of f
.
Examples
julia> R, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z], [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> f = x^2+y+z
x^2 + y + z
julia> homogeneous_components(f)
Dict{FinGenAbGroupElem, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}} with 2 entries:
[2] => x^2 + y
[3] => z
julia> G = abelian_group([0, 0, 2, 2])
Finitely generated abelian group
with 4 generators and 4 relations and relation matrix
[0 0 0 0]
[0 0 0 0]
[0 0 2 0]
[0 0 0 2]
julia> W = [G[1]+G[3]+G[4], G[2]+G[4], G[1]+G[3], G[2], G[1]+G[2]];
julia> S, x = graded_polynomial_ring(QQ, :x => 1:5; weights=W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4], x[5]])
julia> f = x[1]^2+x[3]^2+x[5]^2
x[1]^2 + x[3]^2 + x[5]^2
julia> homogeneous_components(f)
Dict{FinGenAbGroupElem, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}} with 2 entries:
[2, 2, 0, 0] => x[5]^2
[2, 0, 0, 0] => x[1]^2 + x[3]^2
homogeneous_component
— Methodhomogeneous_component(f::MPolyDecRingElem, g::FinGenAbGroupElem)
Given an element f
of a graded multivariate ring, and given an element g
of the grading group of that ring, return the homogeneous component of f
of degree g
.
homogeneous_component(f::MPolyDecRingElem, g::Vector{<:IntegerUnion})
Given an element f
of a $\mathbb Z^m$-graded multivariate ring R
, say, and given a vector g
of $m$ integers, convert g
into an element of the grading group of R
, and return the homogeneous component of f
whose degree is that element.
homogeneous_component(f::MPolyDecRingElem, g::IntegerUnion)
Given an element f
of a $\mathbb Z$-graded multivariate ring R
, say, and given an integer g
, convert g
into an element of the grading group of R
, and return the homogeneous component of f
whose degree is that element.
Examples
julia> G = abelian_group([0, 0, 2, 2])
Finitely generated abelian group
with 4 generators and 4 relations and relation matrix
[0 0 0 0]
[0 0 0 0]
[0 0 2 0]
[0 0 0 2]
julia> W = [G[1]+G[3]+G[4], G[2]+G[4], G[1]+G[3], G[2], G[1]+G[2]];
julia> S, x = graded_polynomial_ring(QQ, :x => 1:5; weights=W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4], x[5]])
julia> f = x[1]^2+x[3]^2+x[5]^2
x[1]^2 + x[3]^2 + x[5]^2
julia> homogeneous_component(f, 2*G[1])
x[1]^2 + x[3]^2
julia> W = [[1, 0], [0, 1], [1, 0], [4, 1]]
4-element Vector{Vector{Int64}}:
[1, 0]
[0, 1]
[1, 0]
[4, 1]
julia> R, x = graded_polynomial_ring(QQ, :x => 1:4; weights=W)
(Graded multivariate polynomial ring in 4 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4]])
julia> f = x[1]^2*x[2]+x[4]
x[1]^2*x[2] + x[4]
julia> homogeneous_component(f, [2, 1])
x[1]^2*x[2]
julia> R, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z]; weights=[1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> f = x^2+y+z
x^2 + y + z
julia> homogeneous_component(f, 1)
0
julia> homogeneous_component(f, 2)
x^2 + y
julia> homogeneous_component(f, 3)
z
is_homogeneous
— Methodis_homogeneous(f::MPolyDecRingElem)
Given an element f
of a graded multivariate ring, return true
if f
is homogeneous, false
otherwise.
Examples
julia> R, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z], [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> f = x^2+y*z
x^2 + y*z
julia> is_homogeneous(f)
false
julia> W = [1 2 1 0; 3 4 0 1]
2×4 Matrix{Int64}:
1 2 1 0
3 4 0 1
julia> S, (w, x, y, z) = graded_polynomial_ring(QQ, [:w, :x, :y, :z], W)
(Graded multivariate polynomial ring in 4 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[w, x, y, z])
julia> F = w^3*y^3*z^3 + w^2*x*y^2*z^2 + w*x^2*y*z + x^3
w^3*y^3*z^3 + w^2*x*y^2*z^2 + w*x^2*y*z + x^3
julia> is_homogeneous(F)
true
degree
— Methoddegree(f::MPolyDecRingElem)
Given a homogeneous element f
of a graded multivariate ring, return the degree of f
.
degree(::Type{Vector{Int}}, f::MPolyDecRingElem)
Given a homogeneous element f
of a $\mathbb Z^m$-graded multivariate ring, return the degree of f
, converted to a vector of integer numbers.
degree(::Type{Int}, f::MPolyDecRingElem)
Given a homogeneous element f
of a $\mathbb Z$-graded multivariate ring, return the degree of f
, converted to an integer number.
Examples
julia> G = abelian_group([0, 0, 2, 2])
Finitely generated abelian group
with 4 generators and 4 relations and relation matrix
[0 0 0 0]
[0 0 0 0]
[0 0 2 0]
[0 0 0 2]
julia> W = [G[1]+G[3]+G[4], G[2]+G[4], G[1]+G[3], G[2], G[1]+G[2]];
julia> S, x = graded_polynomial_ring(QQ, :x => 1:5; weights=W)
(Graded multivariate polynomial ring in 5 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4], x[5]])
julia> f = x[2]^2+2*x[4]^2
x[2]^2 + 2*x[4]^2
julia> degree(f)
Abelian group element [0, 2, 0, 0]
julia> W = [[1, 0], [0, 1], [1, 0], [4, 1]]
4-element Vector{Vector{Int64}}:
[1, 0]
[0, 1]
[1, 0]
[4, 1]
julia> R, x = graded_polynomial_ring(QQ, :x => 1:4, W)
(Graded multivariate polynomial ring in 4 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x[1], x[2], x[3], x[4]])
julia> f = x[1]^4*x[2]+x[4]
x[1]^4*x[2] + x[4]
julia> degree(f)
[4 1]
julia> degree(Vector{Int}, f)
2-element Vector{Int64}:
4
1
julia> R, (x, y, z) = graded_polynomial_ring(QQ, [:x, :y, :z], [1, 2, 3])
(Graded multivariate polynomial ring in 3 variables over QQ, MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}[x, y, z])
julia> f = x^6+y^3+z^2
x^6 + y^3 + z^2
julia> degree(f)
[6]
julia> typeof(degree(f))
FinGenAbGroupElem
julia> degree(Int, f)
6
julia> typeof(degree(Int, f))
Int64
forget_grading
— Methodforget_grading(f::MPolyDecRingElem)
Return the element in the underlying ungraded ring.
Homomorphisms From Multivariate Rings
If $R$ is a multivariate polynomial ring, and $S$ is any ring, then a ring homomorphism $R \to S$ is determined by specifying its restriction to the coefficient ring of $R$, and by assigning an image to each variable of $R$. In OSCAR, such homomorphisms are created by using the following constructor:
hom
— Methodhom(R::MPolyRing, S::NCRing, coeff_map, images::Vector; check::Bool = true)
hom(R::MPolyRing, S::NCRing, images::Vector; check::Bool = true)
Given a homomorphism coeff_map
from C
to S
, where C
is the coefficient ring of R
, and given a vector images
of nvars(R)
elements of S
, return the homomorphism R
$\to$ S
whose restriction to C
is coeff_map
, and which sends the i
-th variable of R
to the i
-th entry of images
.
If no coefficient map is entered, invoke a canonical homomorphism of C
to S
, if such a homomorphism exists, and throw an error, otherwise.
In case check = true
(default), the function checks the conditions below:
- If
S
is graded, the assigned images must be homogeneous with respect to the given grading. - If
S
is noncommutative, the assigned images must pairwise commute.
Examples
julia> K, a = finite_field(2, 2, "a");
julia> R, (x, y) = polynomial_ring(K, [:x, :y]);
julia> F = hom(R, R, z -> z^2, [y, x])
Ring homomorphism
from multivariate polynomial ring in 2 variables over K
to multivariate polynomial ring in 2 variables over K
defined by
x -> y
y -> x
with map on coefficients
#1
julia> F(a * y)
(a + 1)*x
julia> Qi, i = quadratic_field(-1)
(Imaginary quadratic field defined by x^2 + 1, sqrt(-1))
julia> S, (x, y) = polynomial_ring(Qi, [:x, :y]);
julia> G = hom(S, S, hom(Qi, Qi, -i), [x^2, y^2])
Ring homomorphism
from multivariate polynomial ring in 2 variables over Qi
to multivariate polynomial ring in 2 variables over Qi
defined by
x -> x^2
y -> y^2
with map on coefficients
Map: Qi -> Qi
julia> G(x+i*y)
x^2 - sqrt(-1)*y^2
julia> R, (x, y) = polynomial_ring(ZZ, [:x, :y]);
julia> f = 3*x^2+2*x+1;
julia> S, (x, y) = polynomial_ring(GF(2), [:x, :y]);
julia> H = hom(R, S, gens(S))
Ring homomorphism
from multivariate polynomial ring in 2 variables over ZZ
to multivariate polynomial ring in 2 variables over GF(2)
defined by
x -> x
y -> y
julia> H(f)
x^2 + 1
Given a ring homomorphism F
from R
to S
as above, domain(F)
and codomain(F)
refer to R
and S
, respectively.
The OSCAR homomorphism type AffAlgHom
models ring homomorphisms R
$\to$ S
such that the type of both R
and S
is a subtype of Union{MPolyRing{T}, MPolyQuoRing{U}}
, where T <: FieldElem
and U <: MPolyRingElem{T}
. Functionality for these homomorphism is discussed in the section on affine algebras.