Colloquium | September 28 | 4:10-5 p.m. | 60 Evans Hall
Bernd Sturmfels, University of California, Berkeley
Eigenvectors of square matrices are central to linear algebra. Eigenvectors of tensors are a natural generalization, and they have numerous applications. We present an introduction to the spectral theory of tensors, highlighting algebraic aspects, connections to dynamics and optimization, and recent results.