The theory of automorphic L-functions is a major research area of modern number theory, and is nowadays becoming more and more important in several related areas of mathematics. This lecture aims to explain the basics of automorphic L-functions and to mention a recent breakthrough on the subconvexity problem. This lecture is based on Advanced topics in Algebra G1.
Students are expected to:
- obtain basic notions and methods related to automorphic L-functions,
- understand modern tools and concepts in the theory of automorphic L-functions,
- attain a deep understanding of the theory of automorphic L-functions.
modular forms, automorphic representations, automorphic L-functions, subconvexity problem
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
This is a standard lecture course. There will be some homework assignments.
Course schedule | Required learning | |
---|---|---|
Class 1 | Automorphic representations of GL(n) | Details will be provided during each class session |
Class 2 | Integral representations of automorphic L-functions | Details will be provided during each class session |
Class 3 | Eisenstein series and the Rankin-Selberg method | Details will be provided during each class session |
Class 4 | Spectral decomposition | Details will be provided during each class session |
Class 5 | Reduction from GL(2)×GL(2) to GL(2)×GL(1) | Details will be provided during each class session |
Class 6 | Adelic Sobolev norms | Details will be provided during each class session |
Class 7 | Ergodic principle | Details will be provided during each class session |
Class 8 | Subconvex bounds for GL(2)×GL(1) | Details will be provided during each class session |
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
None required.
Details will be announced during the course.
Course scores are evaluated by homework assignments (100%). Details will be announced during the course.
Basic undergraduate algebra and complex analysis