Government responses and COVID-19 deaths: Global evidence across multiple pandemic waves
Hale, T Angrist, N Hale, A Kira, B Majumdar, S Petherick, A Phillips, T Sridhar, D Thompson, R Webster, S Zhang, Y PLOS ONE volume 16 issue 7 (09 Jul 2021)
Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease
Duchet, B Ghezzi, F Weerasinghe, G Tinkhauser, G Kühn, A Brown, P Bick, C Bogacz, R PLOS Computational Biology volume 17 issue 7 (07 Jul 2021)
Wed, 22 Sep 2021

09:00 - 10:00
Virtual

Stochastic Flows and Rough Differential Equations on Foliated Spaces

Yuzuru Inahama
(Kyushu University)
Further Information
Abstract

Stochastic differential equations (SDEs) on compact foliated spaces were introduced a few years ago. As a corollary, a leafwise Brownian motion on a compact foliated space was obtained as a solution to an SDE. In this work we construct stochastic flows associated with the SDEs by using rough path theory, which is something like a 'deterministic version' of Ito's SDE theory.

This is joint work with Kiyotaka Suzaki.

Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections.
Tóth, C Bonnier, P Oberhauser, H ICLR (01 Jan 2021)
Traces of powers of matrices over finite fields
Gorodetsky, O Rodgers, B Transactions of the American Mathematical Society volume 374 issue 7 4579-4638 (28 Apr 2021)

When you watch the Olympics this Summer and admire the achievements of the medalists, ponder on the unknown number of people who may have done just as well if only they'd had the chance. Of course this is true of many fields of human endeavour. Take mathematics for instance. In a world of data overload, pandemics and cyber intrusion never have we needed all the mathematical talent we can muster. Yet many people are denied the opportunity, both at school and, as crucially, at research level.

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