RESEARCH ACTIVITIES
My research interests focus maily on the applications of probability theory and of the theory of stochastic processes. In particular my attention is devoted to the connections between probability and mathematical physics, that is to equilibrium and non-equilibrium classical and quantum statistical mechanics, interacting particle systems and multy-agent dynamics, as well as to the asymptotic properties of dynamical systems.
My
current principal research efforts are devoted to the study of the
exact asymptotics of finite connections for the Bernoulli bond
percolation and for the Random Cluster models in the
supercritical regime, as well as to extend the techniques developed
to tackle this problem to the analysis of the exact asymptotics of
(truncated) correlation functions for spin systems.
On this
research line I maily collaborate with Massimo Campanino.
I
am also interested in the study the behaviour of systems consisting
of a large number of simple (in general identical) subsystems
(agents), whose time evolution is subject to feedback control rules
taking into account the dynamical state of the single agent and of
its neighbours, but also the boundary conditions and random
perturbations of the communication protocol. The main question
concerning these models is if, varying the control parameters and
the initial conditions, the system evolution attains particular
dynamical states, which in the literature go by the name of flocking
or swarming, as well as consensus, either when the size of the
sistem is finite or in the limit of the number of agents tending to
infinity (kinetic limit).
On this research line I have maily
collaborated with Enza
Orlandi.
Furthermore,
I am currently working on the stochastic stability of the Lorenz'63
flow under random perturbations modeling the anthropogenic forcing
and I am also involved in the study the asympotic properties of
certain flows arising from approximating the quasi-geostrophic
models of the athmospheric evolution by means of an Hamiltonian
reduction scheme. Our aim is to characterize the statistical
properties of these flows, as well as its statistical and stochastic
stability, extending the results previously obtained for the
Lorenz'63 flow.
On this research line I maily collaborate with
Sandro Vaienti.