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Creation of Genus One Models

GenusOneModel(n,seq) : RngIntElt, [RngElt] -> ModelG1
GenusOneModel(seq) : [RngElt] -> ModelG1
GenusOneModel(n,str) : RngIntElt, MonStgElt -> ModelG1
The genus one model of degree n (where n is 2, 3, 4 or 5) determined by the coefficients in the given sequence or string. The coefficients may belong to any ring.

A sequence [a, b, c, d, e] of length 5 is interpreted as the degree 2 model ax4 + bx3z + cx2z2 + dxz3 + ez4. A sequence [f, g, h, a, b, c, d, e] of length 8 is interpreted as the degree 2 model y2 + y(fx2 + gxz + hz2) - (ax4 + bx3z + cx2z2 + dxz3 + ez4).

A sequence [a, b, c, d, e, f, g, h, i, j] of length 10 is interpreted as the degree 3 model ax3 + by3 + cz3 + dx2y + ex2z + fy2x + gy2z + hz2x + iz2y + jxyz.

Sequences of lengths 20 or 50 are interpreted as models of degree 4 or 5 respectively; however, it is easier to create these by specifying matrices instead (see below).

The sequence of coefficients can be recovered by calling Eltseq.

GenusOneModel(C) : Crv -> ModelG1
GenusOneModel(f) : RngMPolElt -> ModelG1
GenusOneModel(seq) : [ RngMPolElt ] -> ModelG1
The genus one model given by the polynomial f, or the sequence of equations seq.
GenusOneModel(n,E) : RngIntElt, CrvEll -> ModelG1, Crv, MapSch, MapSch
A genus one model of degree n (where n is 2, 3, 4 or 5) representing the elliptic curve E embedded in Pn - 1 via the linear system |n.O|. Also returned are the image of the embedding as a curve C, and also maps of schemes E to C and C to E.
GenusOneModel(mat) : Mtrx -> ModelG1
The genus one model of degree 5 associated to the given 5 by 5 matrix.
GenusOneModel(mats) : SeqEnum -> ModelG1
The genus one model of degree 4 determined by the given pair of 4 by 4 symmetric matrices in the sequence mats. (The matrices can be recovered by calling ModelToMatrices).
CompleteTheSquare(model) : ModelG1 -> ModelG1
Simplifies a genus one model of degree 2 by completing the square of the multivariate polynomial f.
RandomGenusOneModel(n) : RngIntElt -> ModelG1
RandomModel(n) : RngIntElt -> ModelG1
    Size: RngIntElt                     Default: 
A random genus one model of degree n, where n is 2, 3, 4 or 5.
GenericModel(n) : RngIntElt -> ModelG1
The generic genus one model of degree n, where n is 2, 3, 4 or 5. (The coefficients are indeterminates in a polynomial ring).
ChangeRing(model,B) : ModelG1, Rng -> ModelG1
The genus one model defined over the ring B obtained by coercing the coefficients of the given genus one model into B.
CubicFromPoint(E, P) : CrvEll, PtEll -> RngMPolElt, MapSch, Pt
The 3-covering corresponding to the rational point P on an elliptic curve E. The 3-covering is returned as the equation of a projective plane cubic curve. Also returned are the covering map, and a point that maps to P under the covering map.
HesseModel(n, seq) : RngIntElt, [ RngElt ] -> ModelG1
A genus one model of degree n invariant under the standard representation of the Heisenberg group. The second argument should be a sequence of two ring elements.
DiagonalModel(n, seq) : RngIntElt, [ RngElt ] -> ModelG1
A genus one model of degree n invariant under the diagonal action of μn. The second argument should be a sequence of n ring elements.

Example CrvG1_generic-model (H115E1)

We construct the genus one model of degree 5 obtained from the generic elliptic curve Ea, b : y2 = x3 + ax + b over Q(a, b). The model is the image of Ea, b under the embedding in P4 given by the linear system |5.O|.

> K<a,b> := FunctionField(Rationals(),2);
> Eab := EllipticCurve([a,b]);
> model := GenusOneModel(5,Eab);
> model;
[           0 -b*x1 - a*x2           x5           x4           x3]
[ b*x1 + a*x2            0           x4           x3           x2]
[         -x5          -x4            0          -x2            0]
[         -x4          -x3           x2            0           x1]
[         -x3          -x2            0          -x1            0]
From this matrix, which is the data storing the model, the equations of the curve in P4 can be computed (they are quadratic forms, given by the 4 by 4 Pfaffians of the matrix).

> Equations(model);
[
    -x1*x4 + x2^2,
    x1*x5 - x2*x3,
    b*x1^2 + a*x1*x2 + x2*x4 - x3^2,
    -x2*x5 + x3*x4,
    -b*x1*x2 - a*x2^2 + x3*x5 - x4^2
]
Note that the degree 5 model has the same invariants c4, c6, Δas Ea, b:

> Invariants(model);
-48*a
-864*b
-64*a^3 - 432*b^2
> cInvariants(Eab), Discriminant(Eab);
[
    -48*a,
    -864*b
]
-64*a^3 - 432*b^2

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