Algorithmic randomness

August 10 to August 14, 2020

at the

American Institute of Mathematics, San Jose, California

organized by

Denis R. Hirschfeldt, Joseph S. Miller, Jan Reimann, and Theodore A. Slaman

Original Announcement

This workshop will be devoted to algorithmic randomness and its applications. Combining computability and probability, algorithmic randomness allows for a pointwise approach to many concepts that are classically measure-based, such as entropy and Hausdorff dimension. Recent results in the area indicate the applicability of algorithmic randomness to a wide variety of questions, from the fractal geometry of sets in Euclidean spaces to effective diophantine approximation.

The workshop will focus on several particularly promising applications:

Material from the workshop

A list of participants.

The workshop schedule.

A report on the workshop activities.