Projective Curves

ProjectiveCurveType
ProjectiveCurve

A reduced projective curve, defined as the vanishing locus of a homogeneous (but not necessarily radical) ideal.

Examples

julia> R, (w, x, y, z) = graded_polynomial_ring(QQ, ["w", "x", "y", "z"]);

julia> M = matrix(R, 2, 3, [w x y; x y z])
[w   x   y]
[x   y   z]

julia> V = minors(M, 2)
3-element Vector{MPolyDecRingElem{QQFieldElem, QQMPolyRingElem}}:
 w*y - x^2
 w*z - x*y
 x*z - y^2

julia> I = ideal(R, V);

julia> TC = projective_curve(I)
Projective curve
  in projective 3-space over QQ with coordinates [w, x, y, z]
defined by ideal (w*y - x^2, w*z - x*y, x*z - y^2)
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invert_birational_mapFunction
invert_birational_map(phi::Vector{T}, C::ProjectiveCurve) where {T <: MPolyRingElem}

Return a dictionary where image represents the image of the birational map given by phi, and inverse represents its inverse, where phi is a birational map of the projective curve C to its image in the projective space of dimension size(phi) - 1. Note that the entries of inverse should be considered as representatives of elements in R/image, where R is the basering.

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invert_birational_map(phi::Vector{T}, C::ProjectivePlaneCurve) where {T <: MPolyRingElem}

Return a dictionary where image represents the image of the birational map given by phi, and inverse represents its inverse, where phi is a birational map of the projective plane curve C to its image in the projective space of dimension size(phi) - 1. Note that the entries of inverse should be considered as representatives of elements in R/image, where R is the basering.

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geometric_genusFunction
geometric_genus(X::AbsProjectiveScheme{<:Field}; algorithm::Symbol=:default) -> Int

Given a projective curve X return the genus of X, i.e. the integer $p_g = p_a - \delta$ where $p_a$ is the arithmetic genus and \delta the $\delta$-invariant of the curve.

The algorithm keyword can be specified to

  • :normalization to compute $\delta$ a normalization
  • :primary_decomposition to proceed with a primary decomposition

Normalization is usually slower, but not always.

Examples

julia> R, (x,y,z) = graded_polynomial_ring(QQ, ["x", "y", "z"]);

julia> C = plane_curve(z*x^2-y^3)
Projective plane curve
  defined by 0 = x^2*z - y^3

julia> geometric_genus(C)
0
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