Name: Inaugural Lecture : The Legacy of Fermat's last Theorem
Start: 2024-12-05T17:15:00+01:00
End: 2024-12-05T18:45:00+01:00

Donnerstag, 05. Dezember 2024

17:15 - 18:45

UniDistance Suisse & online, Schinerstrasse 18, 3900 Brig

The inaugural lecture is an opportunity for new professors to present themselves and their work to the international scientific community, teaching teams, students and staff. The event is also open to the general public.

The Legacy of Fermat's last THEOREM

In the 17th century, Pierre de Fermat stated – and claimed to have proved – an elegant mathematical theorem, stating that a certain equation has no solutions in the whole numbers. Generations of mathematicians tried to find a proof of this theorem, but the problem resisted attack for more than 350 years, until it was solved in 1995 by Andrew Wiles and Richard Taylor. Professor David Loeffler will explain the problem, and some of the beautiful and intricate ideas that played a role in its solution; and he will explain some more recent mathematical developments arising from the same circle of ideas which are still the focus of intense research today.

David Loeffler

David Loeffler joined UniDistance Suisse as Professor of Mathematics in November 2023. He was previously a professor at the University of Warwick in the UK. His research area is number theory, particularly focussing on modular forms, Galois representations, and L-functions. He is the leader of the ERC research project "Shimura varieties and the BSD conjecture" (2021-26). He is a member of the editorial boards of Mathematika, Publicacions Mathematiques and Research in Number Theory.

Get the Program

Registrations until November 30th 2024.

You can take part online or on campus. Please note that on-site participation is limited. Those who participate online will receive the participation link by e-mail a few days before the event.

Inaugural Lecture : The Legacy of Fermat's last Theorem

David Loeffler

Anmeldung

Uni60+ : Wie funktioniert eigentlich ein KI-Chatbot?

Uniform Approximation of the Smallest Eigenvalue of a Large Parameter-Dependent Hermitian Matrix

Externer Content

Inaugural Lecture : The Legacy of Fermat's last Theorem

Anmeldung

Uni60+ : Wie funktioniert eigentlich ein KI-Chatbot?

Uniform Approximation of the Smallest Eigenvalue of a Large Parameter-Dependent Hermitian Matrix