BCAM hosts the first Spring School and Workshop “Spectral Theory, Fourier Analysis and PDEs”
- The workshop took place at Bizkaia Aretoa in Bilbao during 27-31 May
The Basque Centre for Applied Mathematics – BCAM organised the first Spring School and Workshop "Spectral Theory, Fourier Analysis and PDEs" over five days at the Bizkaia Aretoa in Bilbao, in person. The workshop featured numerous invited speakers and three mini-courses.
The main objective of this scientific meeting was to foster a gathering between researchers at different stages of their careers, including master's students, PhD students, early postdoctoral researchers, as well as leading experts in the fields of Spectral Theory, Fourier Analysis and Partial Differential Equations.
It has long been recognised that there is a large overlap and intricate interplay among Spectral Theory, Fourier Analysis and PDEs. In fact, they complement, motivate, and inspire each other. Despite this, there has been a scarcity of scientific events designed to explore their concurrent developments. Therefore, in this first Spring School and Workshop, the aim was to address this deficiency by placing a strong emphasis on interdisciplinarity as a fundamental hallmark.
The speakers at the event discussed the three disciplines covered in the workshop, namely Spectral Theory, Fourier Analysis and Partial Differential Equations (PDEs). In addition to the speakers who presented over the five days of the event, participants had the opportunity to attend three mini-courses on Spectral Theory by researcher Mathieu Lewin from the University of Paris Dauphine (France), on Fourier Analysis by James Wright from the University of Edinburgh (United Kingdom), and on Partial Differential Equations (PDEs) by Gigliola Staffilani from the Massachusetts Institute of Technology (United States).
The workshop is partially funded by the Spanish AEI through the Ramón y Cajal 2021 project “Probability and fine properties of partial differential equations” (Ref. RYC2021-031981-I), by the Basque Government through the project BERC2022-2025 and “IT1615-22”, by Ikerbasque, and by the University of the Basque Country UPV/EHU.