Join in person at room 4403 or online.
Determining the complexity of matrix multiplication is a fundamental problem of theoretical computer science. It is popularly conjectured that ω, the matrix multiplication exponent, equals 2. If true, this conjecture would yield fast algorithms for a wide array of problems in linear algebra and beyond. But what if ω > 2? In this talk, I will describe how lower bounds on ω can be used to make progress on derandomizing polynomial identity testing.