For more information about this meeting, contact Jan Reimann, Jason Rute.
|Title:||Martin-Löf random Brownian motion|
|Speaker:||Kelty Allen, UC Berkeley|
|Brownian motion is a probabilistic process that can be defined as a limit of random walks and captures the idea of a random continuous function. Applying techniques from algorithmic randomness to Brownian motion provides new insight into Brownian motion and the power of algorithmic randomness.
In this talk we will define Martin-Lof random Brownian motion and investigate some of its properties. We will see some of the "almost surely" results from classical probability theory that hold for every Martin-Lof random Brownian path, and discuss some of the computability theoretic properties of Martin-Lof random Brownian motion.|
Room Reservation Information
|Date:||03 / 26 / 2014|
|Time:||04:00pm - 05:00pm|