Speaker
Description
Stochastic resetting is a broad concept referring to restarting a (stochastic) process anew. It can be used to understand or optimise various problems related to first passage dynamics not only in physics but also in computer science (Monte Carlo algorithms), biology (search strategies) or chemistry (reaction kinetics). Despite the verity of systems which may be studied, processes under stochastic resetting share universal properties [1,2]. One of which is a sufficient condition under which the process ends (on average) faster than without resetting. The power of this criterion comes from the fact that it's based only on studies of a process without resetting.
[1] https://doi.org/10.1103/PhysRevLett.118.030603
[2] https://doi.org/10.1103/PhysRevLett.121.050601
| Field | Mathematics |
|---|---|
| Length | Long 20 min |
