Induction for secant varieties of Segre varieties

Mathematics – Algebraic Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

the reference to [CGG1] in example 5.6 is expanded

Scientific paper

This paper studies the dimension of secant varieties to Segre varieties. The problem is cast both in the setting of tensor algebra and in the setting of algebraic geometry. An inductive procedure is built around the ideas of successive specializations of points and projections. This reduces the calculation of the dimension of the secant variety in a high dimensional case to a sequence of calculations of partial secant varieties in low dimensional cases. As applications of the technique: We give a complete classification of defective $t$-secant varieties to Segre varieties for t < 7. We generalize a theorem of Catalisano-Geramita-Gimigliano on non-defectivity of tensor powers of P^n. We determine the set of p for which unbalanced Segre varieties have defective p-secant varieties. In addition, we show that the Segre varieties P^1 x P^1 x P^n x P^n and P^2 x P ^3 x P^3 are deficient and completely describe the dimensions of their secant varieties. In the final section we propose a series of conjectures about defective Segre varieties.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Induction for secant varieties of Segre varieties does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Induction for secant varieties of Segre varieties, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Induction for secant varieties of Segre varieties will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-97418

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.