First Examples

This chapter describes functions for constructing and studying algebraic curves. The first section below contains elementary examples to help with getting started. The biggest obstacle is being able to create geometric objects. After that one should be able to consult the later sections for off-the-shelf functions to apply to the curves.

Within Magma, curves are realised as a specialised type of scheme, themselves covered in Chapter SCHEMES. As schemes they may be defined over any ring, although most functions will require this to be at least a domain and often a field.

In previous versions of Magma, curves were restricted to lie in some plane for the dedicated functions below to apply to them. However, we have now generalised the curve definition to apply to any one-dimensional scheme. The general type is Crv and the plane curve now has sub-type CrvPln. As before, for the vast majority of the specialist functionality to apply to a curve, it has to be integral (reduced and irreducible) and defined over a field.

Contents

Ambients

One usually starts by defining an affine or projective space over some base ring in which our curves will live, although it is not absolutely necessary. Normal affine and projective spaces are the commonest, although product or weighted projective spaces may also be used. This space is often referred to as the ambient space and these are more fully described in the general chapter on schemes referred to above. A two-dimensional ambient is referred to as a plane. Plane curves - the ones of subtype CrvPln - are those whose ambient space is a plane (and these are defined by a single polynomial equation). If you intend later to create several curves and would like them to be taken to lie in the same space, then deliberately creating their common ambient space in advance is certainly the surest way. It is important to be aware that any two ambients that have been created independently will always be distinct. For example, if one wants to intersect two plane curves, the curves are not allowed to lie in distinct planes, even if one might consider the planes to be mathematically equivalent.

The basic creation function takes two arguments. The first is the intended base ring, the second the intended dimension. In the code fragment below we make an affine plane (of dimension 2). The x, y delineated by diamond brackets determine the names of the coordinates. This syntax is just the same as that for analogous structures such as polynomial rings.

> k := Rationals();
> A<x,y> := AffineSpace(k,2);
> A;
Affine space of dimension 2 with coordinates x,y
One can retrieve the characteristic data related to a particular plane as in the following examples.
> BaseRing(A);
Rational Field
> Dimension(A);
2
> CoordinateRing(A);
Polynomial ring of rank 2 over Rational Field
Lexicographical Order
Variables: x, y
The variables x and y are named on A, but are really elements of the coordinate ring of A. Thus, A.1, the first variable of A which in this case is x, is synonymous with CoordinateRing(A).1. Higher dimensional affine ambients are precisely analogous, the difference being that there are more variables.

Curves

Algebraic curves are schemes of dimension one. That is, they are described by the vanishing of a set of polynomials or an ideal in the coordinate ring of their ambient space A and this set of zeros has algebraic dimension 1.

Plane curves are described by the vanishing of a single polynomial equation f=0 in some plane A. In other ambients of dimension d, at least d - 1 polynomials are needed and usually more (when d - 1 suffice, we refer to the curve as a global complete intersection).

The polynomials or ideal must belong to the coordinate ring of A and be homogeneous when A is projective. In practical terms, this means that one should usually write the polynomial using the variables of A. When using most of the creation functions below, one must be explicit about the ambient in which the curve lies.

Given some affine plane A with coordinates u, v, define a curve C as the zero locus of a polynomial f in u, v.

> A<u,v> := AffineSpace(FiniteField(32003),2);
> f := u^2 - v^5;
> C := Curve(A,f);
> C;
Curve over GF(32003) defined by u^2 + 32002*v^5
As we see next, the curve C remains in the ambient space A in which it was constructed. It will always lie in that particular space.
> AmbientSpace(C);
Affine space of dimension 2 with coordinates u,v
> AmbientSpace(C) eq A;
true
> BaseField(C);
Finite field of size 32003
Magma can solve systems of polynomial equations over a given field (or even over a domain using resultants). In particular, it can find the singular points of C defined over the current base field.
> SingularPoints(C);
{ (0,0) }
> HasSingularPointsOverExtension(C);
false
The function HasSingularPointsOverExtension() above returns false if and only if there are no additional singular points defined over some extension of the base field of C. (It calculates the radical of the Jacobian algebra to check whether the singularities over the current base field account for the whole algebra.) So the origin really is the only singularity of C defined over this field. There are functions which help one find the singularities of C over an extension if they exist.

Projective Closure

Magma maintains a close connection between a curve and its projective closure. Here we illustrate some of the nice results of this.

In this example we define an affine curve in coordinates x, y and take its projective closure. For clarity, we name the homogeneous coordinates on projective space X, Y, Z. These names are really maintained by the projective space containing D even though they appear to have been created with D. Any other curve in this projective space will be expressed in terms of these variables. Names are not automatically given to the projective space. In this example the choice is made at the first opportunity, but it can be made or changed at any time.

> A<x,y> := AffineSpace(Rationals(),2);
> C := Curve(A,(y^2 - x^3)^2 - y*x^6);
> D<X,Y,Z> := ProjectiveClosure(C);
> D;
Curve over Rational Field defined by
X^6*Y - X^6*Z + 2*X^3*Y^2*Z^2 - Y^4*Z^3
Conversely one can retrieve the affine patches of a projective curve. The standard patches are usually the ones of interest, although others can be recovered. The first line below checks that the first patch really is C. Again, variable names are not automatically determined for curves lying in spaces that have not already been created. As seen below, the only result of not assigning names to variables is that the printing is a little unreadable: the first coordinate function is referred to as $.1 and so on.
> AffinePatch(D,1) eq C;
true
> C2 := AffinePatch(D,2);
> C2;
Curve defined by -$.1^6*$.2 + $.1^6 + 2*$.1^3*$.2^2 - $.2^3
We name the coordinate functions and check that C2 really is a patch of D.
> A2<u,v> := AmbientSpace(C2);
> C2;
Curve defined by -u^6*v + u^6 + 2*u^3*v^2 - v^3
> ProjectiveClosure(C2);
Curve defined by -X^6*Y + X^6*Z - 2*X^3*Y^2*Z^2 + Y^4*Z^3

Points

Points have already arisen as the singular points of a curve. In this chapter we always think of points as being a sequence of coordinates that satisfies the equations of a curve rather than as a zero-dimensional scheme. While the coordinates of a point often lie in the base ring of the curve, they may lie in any extension of that base ring. Technically, the parent of points is not considered to be the curve at all, but instead a point set. Point sets are characterised by two pieces of information. The first piece of information is some scheme, in this case a curve C. The second is some algebra over the base ring. (Note that while we say algebra here to emphasise the mathematical point, in Magma one uses any ring which admits a map from the base ring rather than an explicit Magma algebra type as the second piece of information.) In other words, given an extension L of the base ring k of a curve C, there is a set, C(L), of points of C with coordinates in L. You can consider the point set C(L) literally to be the set of points of C with coordinates in L, although this set does not actually compute or list all its elements since there are often infinitely many.

Thus points can be thought of as being the closest thing to the notion of point that one uses colloquially: "Is the curve C singular at the point p?", for example, can be translated as IsSingular(C,p).

Creating points is easy. For sequences of coordinates of the base ring of a curve, the expression C ! [1,2], for example, creates the point (1, 2) on the scheme C (assuming that coordinate sequences of length 2 are appropriate for C and that (1, 2) satisfies the equations of C). If the coordinates are in some extension, or if you really want a particular point set as parent, you must be explicit about the point set and write C(L) ! [1,2].

Points may belong to the point sets either of a curve or of the ambient plane of the curve. When a point and a curve are both arguments to a function then this difference isn't visible --- in the background the function will check that the point really does lie on the curve if that is what is mathematically required --- although being careful about where points lie is good practice. Often one is allowed to omit the curve argument in such functions, in which case one must be clear that the point really does lie exactly where one wants it to lie: IsNonsingular(p) is an example of function that is rather susceptible to returning confusing results if one isn't careful about where the point lies.

The ! operator is Magma's usual coercion operator. It can be used in a variety of situations where one might hope to make natural reinterpretations of objects. Here it is used to reinterpret a sequence of numbers as the coordinates of a point in a plane or a curve.

> A<x,y> := AffineSpace(FiniteField(23),2);
> p := A ! [1,2];
> p;
(1, 2)
> q := Origin(A);
> q;
(0, 0)
So now it is possible to analyse particular points of a curve.
> C := Curve(A,x^2 + 2*x*y^2 - y^5);
> C;
Curve over GF(23) defined by
x^2 + 2*x*y^2 + 22*y^5
> p in C;
true (1, 2)
> IsSingular(C,p);
false
> TangentLine(C,p);
Curve over GF(23) defined by
10*x + 20*y + 19
Notice that the statement p in C is evaluated in a generous way: p is really in a point set of the plane but it happens to satisfy the equation of the curve and that is what is checked. There are two ways to force the parent of the point to be a point set of C: either use the coercion operator or test it with the standard IsCoercible() function. The tangent line to C at p is interpreted as a linear curve embedded in the same plane as C and intersecting it at p. These tangent lines are only defined for plane curves C and are themselves plane curves. In particular, functions which can take a curve as argument can take this tangent line as argument. The tangent line is given the name T in the discussion below and used as an argument in a function which takes two curves and a point. Recall that the tangent line to a curve C at a nonsingular point p is the unique line having intersection number at least 2 with C at p.
> T := $1;
> IntersectionNumber(C,T,p);
2

Choosing Coordinates

One way to express a curve C after a change of coordinates is to make a map --- an automorphism of the ambient space --- which realises the change of coordinates and then compute the image of C under this map.

Here is a hands-on analysis of a singularity on a curve which involves changes of coordinates. The example is again a plane curve and involves several functions still only available for such: TangentCone and Blowup. The singularity is first moved to the origin where coordinates are chosen so that the tangent directions lie along the coordinate axes.

> A<x,y> := AffineSpace(GF(11,2),2);
> C := Curve(A,-x^6 + x*y^2 - 2*x*y + x + (y - 1)^3);
> SingularPoints(C);
{ (0, 1) }
> p := Representative(SingularPoints(C));
> f := Translation(A,p);
> C1 := f(C);
> q := Origin(A);
> TangentCone(C1,q);
Curve over GF(11^2) defined by x*y^2 + y^3
> g := Automorphism(A,y);
> C2 := g(C1);
> TangentCone(C2,q);
Curve over GF(11^2) defined by x*y^2
The singularity is now in a suitable form for study. The following could be the first steps in an analysis. It can be skipped over by anyone not familiar with the language; otherwise see Chapter NEWTON POLYGONS.
> D,E := Blowup(C2);
> IsSingular(D,q),IsSingular(E,q);
true false
> TangentCone(D,q);
Curve over GF(11^2) defined by y^2
> Faces(NewtonPolygon(D));
[ <2, 3, 6> ]
So the singularity is almost resolved. One more blowup of the cusp at the origin of D will make a resolution.

Function Fields and Divisors

If C is an integral curve then the field of fractions of its coordinate ring (or the homogeneous part of degree 0 in the projective case), is known as the function field of C. The function field allows us to conveniently perform many different computations with the curve. The function fields of an affine curve and its projective closure are isomorphic and are identified in Magma (with the projective version).

In fact, there are two Magma function fields associated to the curve, both abstractly isomorphic to its field of rational functions. What we refer to as the function field here has type FunFldFracSch and is associated with more general schemes. Additional information may be found in Chapter SCHEMES. This provides the basic user interface for curve functions when they are explicitly needed. For the most part, functions apply to the curve directly with the function field being used in the background. The second function field is an algebraic function field (see Chapter ALGEBRAIC FUNCTION FIELDS). This provides much of the deeper functionality associated to the curve but lies even further in the background and most users should never need to access it directly.

Divisors --- loosely speaking, formal sums of points of a curve --- are an important part of the technology having many substantial applications. Any nonzero rational function determines a divisor: take the formal sum of zeros of the function on the curve (counted with multiplicity) minus the poles of the function. Divisors of this form are called principal divisors. Conversely, divisors arising in this way determine the function which defined them up to a scalar multiple.

There are two important groups in which divisors are often considered: the divisor group in which addition is simply coefficient-wise, and the divisor class group which is the divisor group modulo the subgroup of principal divisors. In the case of elliptic curves, the class group provides a formal setup in which to interpret the group law.

If you want to see it explicitly, the function field of a curve may be accessed.

> k := FiniteField(17);
> P<x,y,z> := ProjectiveSpace(k,2);
> E := Curve(P, y^2*z - x^3 - 4*x*z^2);
> E1<u,v> := AffinePatch(E,1);
> F<a,b> := FunctionField(E);
> F;
Function Field of Curve over GF(17) defined by
16*x^3 + 13*x*z^2 + y^2*z
> Genus(E);
1
But often you don't need the function field in your hands since the function you want can be called directly with the curve as argument.

Divisors are constructed by referring to the curve on which they should lie together with some characteristic data for them.

> Div := DivisorGroup(E);
> Div;
Group of divisors of Curve over GF(17) defined by
16*x^3 + 13*x*z^2 + y^2*z
> p := E ! [0,0,1];
> L := TangentLine(E,p);
> D := Divisor(E,L);
> D;
Divisor of Curve over GF(17) defined by
16*x^3 + 13*x*z^2 + y^2*z
> Decomposition(D);
[
    <Place at (0 : 0 : 1), 2>
    <Place at (0 : 1 : 0), 1>,
]
A little explanation is required. Firstly, the divisor D constructed here is really the divisor of the rational function with zero along L and pole along the line at infinity. Secondly, the basic printing of D is not so helpful: the point is to ensure that potentially lengthy calculations are avoided so it is not immediately printed in `factorised' form. Next, once factorised, the divisor refers to places of the curve. Since the curve could be singular and divisor computations are done on the nonsingular model, the language of places is used. Note that when printing a place, a point corresponding to the place is shown. Of course, this point does not uniquely characterise the place. If p is a singular point of a curve it is possible to have unequal places that both display p as their support.

In this case, the curve is nonsingular so everything is above board: D is literally the divisor 2p1 + p2 where p1 is the prime divisor at the point (0:0:1) and p2 is the prime divisor at the point (0:1:0). Now, after defining these prime divisors, we define a new divisor of degree 0.

> p1 := Divisor(p);
> p2 := Divisor(E![0,1,0]);
> D2 := D - 3*p1;
> Decomposition(D2);
[
    <Place at (0 : 0 : 1), -1>
    <Place at (0 : 1 : 0), 1>,
]
> Degree(D2);
0
The natural question to ask of a divisor of degree 0 is whether or not it is principal.
> IsPrincipal(D2);
false
> IsPrincipal(2*D2);
true 1/a
So D2 is not principal but two times D2 is principal. Moreover, the rational function 1/a defines 2 x D2. (This corresponds to the rational function z/x on P.)

Now we look at the class group of E. This function requires that E be defined over a finite field. All the operations above apply to a curve defined over any field.

> Cl, _, phi := ClassGroup(E);
> Cl;
Abelian Group isomorphic to Z/4 + Z/4 + Z
Defined on 3 generators
Relations:
    4*Cl.1 = 0
    4*Cl.2 = 0
> phi;
Mapping from: DivCrv: D to GrpAb: Cl given by a rule
> phi(D2);
2*Cl.2
V2.28, 13 July 2023