The 2017 event features two lectures by Pr. Senya Shlosman (CNRS) on
“Mean-field Networks and Non-Linear Markov Processes.”
I will talk about the behavior of large highly connected networks. For some ranges of parameters these networks exhibit stationary behavior (lecture 1), while for some other values of parameters they never equilibrate, and go to oscillatory regimes (lecture 2). This looks very similar to the phenomenon of the phase transition. No knowledge of statistical mechanics is assumed.
Lecture 1, Monday May 8, 11 am -12, RLM 5.116
Lecture 2, Tuesday May 9, 11 am -12, RLM 5.116
The event was also supported by the France UT Institute and of the Cultural Services of the French Embassy in the United States.