On the equivariant Gromov-Witten Theory of P^2-bundles over curves

Mathematics – Algebraic Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

48 pages, 15 figures

Scientific paper

We compute section class relative equivariant Gromov-Witten invariants of the total space of P^2-bundles of the form P(O+L1+L2)-->C where C is a genus g curve, O is the trivial bundle, and L1 (resp. L2) is an arbitrary line bundle of degree k1 (resp. k2) over C. We prove a gluing formula for the partition functions of these invariants. Using this gluing formula together with localization techniques, we construct three explicit 3x3 matrices G, U1 and U2 with entries in Q((u))(t0,t1,t2), where u is the genus parameter, and t0,t1,t2 are the equivariant parameters. Then we prove that the partition function of the section class, ordinary equivariant Gromov-Witten invariants of X is given by trace(G^(g-1).U1^k1.U2^k2). As an application, we establish a formula for the partition function of the ordinary Gromov-Witten invariants of any P^2-bundle X over a curve of genus g for any class which is a Calabi-Yau section class. We prove that this partition function is given by 3^g(2sin u/2)^(2g-2).

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

On the equivariant Gromov-Witten Theory of P^2-bundles over curves 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 On the equivariant Gromov-Witten Theory of P^2-bundles over curves, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the equivariant Gromov-Witten Theory of P^2-bundles over curves will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-593461

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