More than 100 academics took part in the Applicable Resurgent Asymptotic research programme, organised by Dr Ines Aniceto, Principal Research Fellow and EPSRC Early Career Fellow, and Professor Christopher Howls, from Mathematical Sciences.
The programme was held at the Isaac Newton Institute (INI) for Mathematical Sciences, in Cambridge, and enabled the next generation of early career researchers to exchange knowledge and set up a network of collaborative opportunities for the future.
They had the opportunity to integrate recent significant, but parallel, advances in mathematics and physics into a more systematic approach to asymptotic analysis of more complicated, complex and multidimensional problems.
Addressing a complex challenge
Asymptotic analysis provides approximate, accurate and analytical solutions to a broad range of problems where an exact solution cannot be found.
Despite the ready availability of computing power, and the rise of data science and artificial intelligence (AI), asymptotic analysis is still one of the most important tools used in mathematics and theoretical physics.
It helps to gain a comparatively quick numerical result and an understanding of the underpinning drivers of a complicated quantitative system.
The modern approach to asymptotic analysis involves incorporating exponentially small quantities, which over time and space can grow to be exponentially large, and understanding these potentially explosive quantities. It is essential in all sorts of areas beyond maths: from jet engine noise pollution, to submarine wakes, from rainbows to stealth technology, from black holes to Bose-Einstein Condensates and from quantum field theory to quark-gluon plasmas.
Existing have been in use for nearly two centuries, with a very interesting history of its development, but still usually remain context specific. Recently great advances and significant breakthroughs have been made by mathematicians and physicists by blending a numerical approach with a theory called resurgence.
The Southampton-led programme addressed how to unify these asymptotic approaches into techniques that enhance efficiency and have broader applications.