Branching processes, partial differential equations and applications to knowledge diffusion

Dynamics in heterogeneous and random environments arise in a broad range of scientific fields, from economic growth and fluid turbulence to diffusion models in machine learning. These systems are often modelled by nonlinear partial differential equations and stochastic processes involving multiple temporal and spatial scales. To mitigate this…