Abstracts

Week of October 8, 2023

October 11, 2023
Applied Mathematics The mean first passage time as a natural diffusion distance 3:00pm -
LOM 214

Given an irreducible finite Markov chain, we propose the mean first passage time (mfpt) as a diffusion distance. We motivate this definition by considering a compact Riemannian manifold, and the submanifold resulting from removing the closure of a small ball.  The steady-state solution to an associated inhomogeneous heat flow problem on the submanifold is non-negative and can be viewed as having large values at locations which are far away from the removed ball.  The same function is shown to give the expected value of the first hitting time of the removed ball from any location in the submanifold.  

The latter interpretation leads to our proposing the mfpt as a diffusion distance for a given finite set of states (samples) and an associated transition matrix.  Even if the transition matrix does not arise from heat flow and may in fact be non-symmetric and non-bistochastic, we note that the mfpt satisfies the triangle inequality.  Moreover, various efficient ways to compute the mfpt have been proposed in the literature.

Zoom link: https://yale.zoom.us/j/99114648888

October 12, 2023
Analysis The nonlinear stochastic heat equation in the critical dimension 4:00pm -

I will discuss a two-dimensional stochastic heat equation with a nonlinear noise strength, and consider a limit in which the correlation length of the noise is taken to 0 but the noise is attenuated by a logarithmic factor. The limiting pointwise statistics can be related to a stochastic differential equation in which the diffusivity solves a PDE somewhat reminiscent of the porous medium equation. This relationship is established through the theory of forward-backward SDEs. I will also explain several cases in which the PDE can be solved explicitly, some of which correspond to known probabilistic models. This talk will be based on joint work with Cole Graham and Yu Gu.

Graduate Learning Seminar Learning seminar on D-modules 4:00pm -
KT 801

This is a fifth meeting of the seminar. 

October 13, 2023
Friday Morning Seminar Friday Morning Seminar 10:00am -
KT 801

A relaxed-pace seminar on impromptu subjects related to the interests of the audience.

Everyone is welcome.

The subjects are geometry, probability, combinatorics, dynamics, and more!

Geometric Analysis and Application Geometric Flows and Nearly-Parallel G2-Structures 2:00pm -
KT 906

A 3-Sasakian structure on a 7-manifold may be used to define two distinct Einstein metrics: the 3-Sasakian metric and the squashed Einstein metric. Both metrics are induced by nearly parallel G2-structures which may also be expressed in terms of the 3-Sasakian structure. Just as Einstein metrics are critical points for the Ricci flow up to rescaling, nearly parallel G2-structures provide natural critical points of the (rescaled) geometric flows of G2-structures known as the Laplacian flow and Laplacian coflow. We study each of these flows in the 3-Sasakian setting and see that their behaviour is markedly different, particularly regarding the stability of the nearly parallel G2-structures. We also compare the behaviour of the flows of G2-structures with the (rescaled) Ricci flow. This was joint work with Jason Lotay