Stochastic Differential Equations Driven by Ballistic Super-Diffusive Noise

Thumbnail

Event details

Date 23.06.2009
Hour 16:15
Speaker Prof. Max-Olivier HONGLER
Location
Salle MA A1 12, EPFL- Ecublens
Category Conferences - Seminars
We study stochastic differential equations driven by non-Gaussian noise processes exhibiting a ballistic (also called super-diffusive) variance (such as t + b t2, where t is time and b is a constant). Our driving noise source can be viewed as a lumped Markov process involving two oppositely drifted Brownian motions. For such a noise source, one is able to derive explicit results for a wealth of stochastic models ranging from off-equilibrium statistical physics, optimal stochastic control and sequential stochastic optimization. Illustrations of noise-induced spatio-temporal patterns in arrays of coupled phase oscillators and additive noise-induced phase transitions will be explicitly discussed.

Practical information

  • General public
  • Free

Contact

  • Prof. Robert Dalang

Event broadcasted in

Share