"Nature vs. Nurture in Complex (and Not-So-Complex) Systems"
Presented by Daniel Stein, NYU
Tuesday, April 24, 2018, 3:30 pm — Large Seminar Room, Bldg. 510
Understanding the dynamical behavior of many-particle systems following a deep quench is a central issue in both statistical mechanics and complex systems theory. One of the basic questions centers on the issue of predictability: given a system with a random initial state evolving
through a well-defined stochastic dynamics, how much of the information contained in the state at future times depends on the initial condition (``nature'') and how much on the dynamical realization (``nurture'')? We discuss this question and present both old and new results for both homogeneous and random systems in low and high dimension.
Hosted by: Rob Pisarski
12975 | INT/EXT | Events Calendar