Random subgraph counts and <span class="italic">U</span>-statistics: multivariate normal approximation via exchangeable pairs and embedding
Reinert, G Röllin, A Journal of Applied Probability volume 47 issue 2 378-393 (14 Jun 2010)
Gaussian approximation of functionals: Malliavin calculus and Stein’s method
Reinert, G Surveys in Stochastic Processes volume 4 107-126 (10 Aug 2011)
Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(<span class="italic">n</span>,{<span class="italic">p<span class="sub">ij</span></span>})
Lin, K Reinert, G Advances in Applied Probability volume 44 issue 1 139-165 (04 Mar 2012)
Large compound Poisson approximations for occurrences of multiple words
Reinert, G Schbath, S Statistics in molecular biology and genetics 257-275 (1999)
A Weak Law of Large Numbers for Empirical Measures via Stein's Method
Reinert, G The Annals of Probability volume 23 issue 1 334-354 (01 Jan 1995)
The stationary distribution in the antivoter model: exact sampling and approximations
Huber, M Reinert, G Stein's Method 75-92 (2004)
Thu, 17 Oct 2019

12:00 - 13:00
L4

Quasi-normal modes on asymptotically flat black holes

Dejan Gajic
(Cambridge)
Abstract

A fundamental problem in the context of Einstein's equations of general relativity is to understand precisely the dynamical evolution of small perturbations of stationary black hole solutions. It is expected that there is a discrete set of characteristic frequencies that play a dominant role at late time intervals and carry information about the nature of the black hole, much like the normal frequencies of a vibrating string. These frequencies are called quasi-normal frequencies or resonances and they are closely related to scattering resonances in the study of Schrödinger-type equations. I will discuss a new method of defining and studying resonances for linear wave equations on asymptotically flat black holes, developed from joint work with Claude Warnick.

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Controlled sequential Monte Carlo
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