This is a joint work with Tian. We study the structure of the limit space of a sequence of almost
Einstein manifolds, which are generalizations of Einstein manifolds. Roughly speaking, such manifolds are the
initial manifolds of some normalized Ricci flows whose scalar curvatures are almost constants over space-time in the
$L^1$-sense, Ricci curvatures are bounded from below at the initial time. Under the non-collapsed condition, we show that the limit space of a
sequence of almost Einstein manifolds has most properties which is known for the limit space of Einstein
manifolds. As applications, we can apply our structure results to study the
properties of K\"ahler manifolds.
We consider the initial-boundary value problem for a single
semilinear parabolic equation with small diffusion rate under the
homogeneous Neumann boundary condition. Bates, Lu and Zeng proved the
existence of a normally hyperbolic invariant manifold for this type of
problem. The manifold consists of functions with a spike on the
boundary, by which we mean that the function attains its maximum at
exactly one point on the boundary and decays exponentially outside a
small neighborhood of the maximum point. Moreover, they proved that the
principal part of the movement of the maximum point of the solution is
the gradient flow of the mean curvature function of the boundary. We are
interested in the movement of the spike near the critical point of the
mean curvature function. In this talk we establish the algorithm to
derive the asymptotic expansion of the equation of motion for the peak
point.
In the range 4 < \kappa < 8, the intersection of the Schramm-Loewner Curve (one of the central objects in the theory of 2-D Conformally Invariant Systems) with the boundary of its domain is a random fractal set. After reviewing some previous results on the dimension and measure of this set, I will describe recent joint work with Ilia Binder and Fredrik Viklund that partitions this set of points according to the generalized "angle" at which the curve hits the boundary, and computes the Hausdorff dimension of each partition set. The Hausdorff dimension as a function of the angle is what we call the dimension spectrum.
Talk Abstract:
We will talk about the Continuum Hypothesis and how we tackle it in the field of set theory. Learn about large cardinals, independence and consistency proofs, and elementary embeddings, and why they are important.
Set theory studies reflection principles of different forms. The talk will discuss the role of stationary reflection and threadability in the core model induction. I will not presuppose any serious knowledge of inner model theory, though.
Suppose we take a sample of size n from a population and follow the ancestral lines backwards in time. Under standard assumptions, this process can be modeled by Kingman's coalescent, in which each pair of lineages merges at rate one. However, if some individuals have large numbers of offspring or if the population is affected by selection, then many ancestral lineages may merge at one time. In this talk, we will introduce the family of coalescent processes with multiple mergers and discuss some circumstances under which populations can be modeled by these coalescent processes. We will also describe how genetic data, such as the number of segregating sites and the site frequency spectrum, would be affected by multiple mergers of ancestral lines, and we will discuss the implications for statistical inference.