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In
algebraic geometry Algebraic geometry is a branch of mathematics which uses abstract algebraic techniques, mainly from commutative algebra, to solve geometry, geometrical problems. Classically, it studies zero of a function, zeros of multivariate polynomials; th ...
, the secant variety \operatorname(V), or the variety of chords, of a projective variety V \subset \mathbb^r is the Zariski closure of the union of all
secant line In geometry, a secant is a line (geometry), line that intersects a curve at a minimum of two distinct Point (geometry), points.. The word ''secant'' comes from the Latin word ''secare'', meaning ''to cut''. In the case of a circle, a secant inter ...
s (chords) to ''V'' in \mathbb^r: :\operatorname(V) = \bigcup_ \overline (for x = y, the line \overline is the
tangent line In geometry, the tangent line (or simply tangent) to a plane curve at a given point is, intuitively, the straight line that "just touches" the curve at that point. Leibniz defined it as the line through a pair of infinitely close points o ...
.) It is also the image under the projection p_3: (\mathbb^r)^3 \to \mathbb^r of the closure ''Z'' of the incidence variety :\. Note that ''Z'' has dimension 2 \dim V + 1 and so \operatorname(V) has dimension at most 2 \dim V + 1. More generally, the k^ secant variety is the Zariski closure of the union of the linear spaces spanned by collections of k+1 points on V. It may be denoted by \Sigma_k. The above secant variety is the first secant variety. Unless \Sigma_k=\mathbb^r, it is always singular along \Sigma_, but may have other singular points. If V has dimension ''d'', the dimension of \Sigma_k is at most kd+d+k. A useful tool for computing the dimension of a secant variety is Terracini's lemma.


Examples

A secant variety can be used to show the fact that a smooth projective curve can be embedded into the projective 3-space \mathbb^3 as follows. Let C \subset \mathbb^r be a smooth curve. Since the dimension of the secant variety ''S'' to ''C'' has dimension at most 3, if r > 3, then there is a point ''p'' on \mathbb^r that is not on ''S'' and so we have the projection \pi_p from ''p'' to a hyperplane ''H'', which gives the embedding \pi_p: C \hookrightarrow H \simeq \mathbb^. Now repeat. If S \subset \mathbb^5 is a surface that does not lie in a
hyperplane In geometry, a hyperplane is a generalization of a two-dimensional plane in three-dimensional space to mathematical spaces of arbitrary dimension. Like a plane in space, a hyperplane is a flat hypersurface, a subspace whose dimension is ...
and if \operatorname(S) \ne \mathbb^5, then ''S'' is a Veronese surface.


Notes


References

* * * Joe Harris, ''Algebraic Geometry, A First Course'', (1992) Springer-Verlag, New York. Algebraic geometry {{algebraic-geometry-stub