Reading seminar

Tensors: geometry and applications

Spring 2023 (KU Leuven)


To receive announcements regarding the seminar, subscribe to the mailing list.

Overview

Tensors are the higher-dimensional generalization of matrices, and as such provide a natural and useful way of organizing data. Viewing tensors as geometric objects gives us powerful methods to extract information from this data, and is also a beautiful subject in its own right.

The first part of this seminar is an introduction to tensors and tensor decomposition, where we will learn and apply techniques from multilinear algebra, algebraic geometry, and representation theory. In the second part we will discuss some applications, depending on the interests of the participants. Possible topics include the complexity of matrix multiplication, tensor networks in quantum mechanics, and algebraic versions of P vs NP.

Our main resource will be the book Tensors: geometry and applications by Joseph M. Landsberg. (See here for a list of errata.)

Schedule

The seminar will take place on Tuesdays, 16:00-18:00, at KU Leuven campus Arenberg 3, in theĀ  seminar rooms B00.18 (full name 200B.00.018; ground floor of the Math building 200B) and S00.04 (full name 200B.00.018; ground floor of the seminar building 200S).

Organizers

Contact

tim.seynnaeve@kuleuven.be