Ian Biringer, Yale
Random samplings of locally symmetric spaces Suppose that Mi is a sequence of closed locally symmetric spaces modeled on a fixed symmetric space X, e.g. a sequence of hyperbolic n-manifolds. We introduce a tool to understand how the geometry of Mi near a random sample point develops as i tends to infinity. Applications include a control on the growth of the Betti numbers of Mi when X has higher rank. ← Back to the seminar home page |