This third part extends the theory of Generalized Poisson–Kac (GPK) processes to nonlinear stochastic models and to a continuum of states. Nonlinearity is treated in two ways: (i) as a dependence of the parameters (intensity of the stochastic velocity, transition rates) of the stochastic perturbation on the state variable, similarly to the case of nonlinear Langevin equations, and (ii) as the dependence of the stochastic microdynamic equations of motion on the statistical description of the process itself (nonlinear Fokker–Planck–Kac models). Several numerical and physical examples illustrate the theory. Gathering nonlinearity and a continuum of states, GPK theory provides a stochastic derivation of the nonlinear Boltzmann equation...
We analyze the thermodynamic properties of stochastic dif- ferential equations driven by smooth Poi...
The methods developed by Prigogine and coworkers are used to establish a rigorous statistical mechan...
Diffusion processes serve as a mathematical model for the physical phenomenon of diffusion. One of t...
This article introduces the notion of generalized Poisson–Kac (GPK) processes which generalize the c...
We analyze some basic issues associated with generalized Poisson– Kac (GPK) stochastic processes, s...
We introduce a new class of stochastic processes in ℝn, referred to as generalized Poisson-Kac (GPK)...
In this second part, we analyze the dissipation properties of generalized Poisson–Kac (GPK) process...
The meaning and the features of Generalized Poisson–Kac processes are analyzed in the light of their...
The formulation of transport models in polymeric systems starting from the theory of stochastic proc...
We present the statistical mechanical foundation of nonisothermal stochastic processes, thereby gene...
A microscopic dynamics was proposed in terms of generalized Langevin equations for stochastic proces...
A local fluctuation–dissipation theorem for the power delivered by a stochastic forcing is derived ...
This book is based on the idea that Boltzmann-like modelling methods can be developed to design, wit...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
The paper is concerned with some aspects of stochastic modeling in kinetic theory. First, an overvie...
We analyze the thermodynamic properties of stochastic dif- ferential equations driven by smooth Poi...
The methods developed by Prigogine and coworkers are used to establish a rigorous statistical mechan...
Diffusion processes serve as a mathematical model for the physical phenomenon of diffusion. One of t...
This article introduces the notion of generalized Poisson–Kac (GPK) processes which generalize the c...
We analyze some basic issues associated with generalized Poisson– Kac (GPK) stochastic processes, s...
We introduce a new class of stochastic processes in ℝn, referred to as generalized Poisson-Kac (GPK)...
In this second part, we analyze the dissipation properties of generalized Poisson–Kac (GPK) process...
The meaning and the features of Generalized Poisson–Kac processes are analyzed in the light of their...
The formulation of transport models in polymeric systems starting from the theory of stochastic proc...
We present the statistical mechanical foundation of nonisothermal stochastic processes, thereby gene...
A microscopic dynamics was proposed in terms of generalized Langevin equations for stochastic proces...
A local fluctuation–dissipation theorem for the power delivered by a stochastic forcing is derived ...
This book is based on the idea that Boltzmann-like modelling methods can be developed to design, wit...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
The paper is concerned with some aspects of stochastic modeling in kinetic theory. First, an overvie...
We analyze the thermodynamic properties of stochastic dif- ferential equations driven by smooth Poi...
The methods developed by Prigogine and coworkers are used to establish a rigorous statistical mechan...
Diffusion processes serve as a mathematical model for the physical phenomenon of diffusion. One of t...