Dirac Eigenvalue Optimization and Harmonic Maps
Centre de recherches mathématiques - CRM via YouTube
Learn Generative AI, Prompt Engineering, and LLMs for Free
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the optimization of Dirac eigenvalues in this 53-minute seminar from the Spectral Geometry in the Clouds series. Delve into the similarities and differences between Dirac and Laplace eigenvalue optimization, examining how critical metrics correspond to harmonic maps in both cases. Discover the unique aspects of Dirac optimization, including its connection to complex projective spaces and additional conditions for harmonic maps. Learn about applications to minimizing Dirac eigenvalues on spheres and tori. Gain insights from Antoine Métras's joint work with Mikhail Karpukhin and Iosif Polterovich in this advanced mathematical exploration presented at the Centre de recherches mathématiques.
Syllabus
Antoine Métras: Dirac Eigenvalue optimization
Taught by
Centre de recherches mathématiques - CRM