17 citations · 29 across the 6 of their papers we have counts for
6 papers
Stochastic hydrodynamic velocity field and the representation of Langevin equations
Massimiliano Giona, Davide Cocco, Giuseppe Procopio +2
The fluctuation-dissipation theorem, in the Kubo original formulation, is based on the decomposition of the thermal agitation forces into a dissipative contribution and a stochasti…
Spectral properties of stochastic processes possessing finite propagation velocity
Massimiliano Giona, Andrea Cairoli, Davide Cocco +1
This article investigates the spectral structure of the evolution operators associated with the statistical description of stochastic processes possessing finite propagation veloci…
In the folds of the Central Limit Theorem: Lévy walks, large deviations and higher-order anomalous diffusion
Massimiliano Giona, Andrea Cairoli, Rainer Klages
This article considers the statistical properties of Lévy walks possessing a regular long-term linear scaling of the mean square displacement with time, for which the conditions of…
Model of inverse bleb growth explains giant vacuole dynamics during cell mechanoadaptation
Andrea Cairoli, Alice Spenlehauer, Darryl R Overby +1
Cells can withstand hostile environmental conditions manifest as large mechanical forces such as pressure gradients and/or shear stresses by dynamically changing their shape. Such…
Langevin formulation of a subdiffusive continuous time random walk in physical time
Andrea Cairoli, Adrian Baule
Systems living in complex non equilibrated environments often exhibit subdiffusion characterized by a sublinear power-law scaling of the mean square displacement. One of the most c…
Forecasting transitions in systems with high dimensional stochastic complex dynamics: A Linear Stability Analysis of the Tangled Nature Model
Andrea Cairoli, Duccio Piovani, Henrik Jeldtoft Jensen
We propose a new procedure to monitor and forecast the onset of transitions in high dimensional complex systems. We describe our procedure by an application to the Tangled Nature m…