Topological flatness of local models for ramified unitary groups. II. The even dimensional case

Mathematics – Algebraic Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

83 pages

Scientific paper

Local models are schemes, defined in terms of linear-algebraic moduli problems, which give \'etale-local neighborhoods of integral models of certain p-adic PEL Shimura varieties defined by Rapoport and Zink. In the case of a unitary similitude group whose localization at Q_p is ramified, quasi-split GU_n, Pappas has observed that the original local models are typically not flat, and he and Rapoport have introduced new conditions to the original moduli problem which they conjecture to yield a flat scheme. In a previous paper we proved that their new local models are topologically flat when n is odd. In the present paper we prove topological flatness when n is even. Along the way, we characterize the mu-admissible set for certain cocharacters mu in types B and D, and we show that for these cocharacters admissibility can be characterized in a vertexwise way, confirming a conjecture of Pappas and Rapoport.

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

Topological flatness of local models for ramified unitary groups. II. The even dimensional case 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 Topological flatness of local models for ramified unitary groups. II. The even dimensional case, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Topological flatness of local models for ramified unitary groups. II. The even dimensional case will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-686725

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