Past

Why does a spinning coin come to such a sudden stop? Why does a
spinning hard-boiled egg stand up on its end? And why does the
rattleback rotate happily in one direction but not in the other?
The key mathematical aspects of these familiar dynamical phenomena,
which admit simple table-top demonstration, will be revealed.

Rapidly oscillating problems, whether differential equations or

integrals, ubiquitous in applications, are allegedly difficult to

compute. In this talk we will endeavour to persuade the audience that

this is false: high oscillation, properly understood, is good for

computation! We describe methods for differential equations, based on

Magnus and Neumann expansions of modified systems, whose efficacy

improves in the presence of high oscillation. Likewise, we analyse

generalised Filon quadrature methods, showing that also their error

sharply decreases as the oscillation becomes more rapid.