AbstractA mathematical theory is proposed to describe the time evolution and fluctuations for the probability density and the entropy functions related to the state variable of nonlinear stochastic systems. The class of physical systems whose evolution can be modelled by nonlinear stochastic ordinary differential equations is considered and the evolution equation for the above specified functions is derived under suitable regularity conditions. Quantitative results in the applications are supplied on the basis of an analysis using the Adomian's decomposition method
We analyze the principle of entropy increment for analysis of the stability of operation of technica...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
The most frequently used in physical application diffusive (based on the Fokker-Planck equation) mod...
AbstractThis paper supplies a mathematical analysis for a large class of stochastic systems describe...
AbstractA class of nonlinear dynamical systems with random parameters and initial conditions is cons...
We report time-dependent Probability Density Functions (PDFs) for a nonlinear stochastic process wit...
AbstractBasic results on stochastic differential equations in Hilbert and Banach space, linear stoch...
AbstractA number of important equations of physics are shown to fit into the structure of a nonlinea...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
AbstractIn this paper an analysis of the actions of an abstract dynamical system upon an initial pro...
Summarization: The problem of stochastic stability of continuous dynamic systems is examined from th...
Fluctuations in nonlinear Markovian systems are studied by the Langevin equation method using system...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
A possibility of a relation between the Kolmogorov-Sinai entropy of a dynamical system and the entro...
A method of random response investigation of a nonlinear dynam-ical system is discussed. In particul...
We analyze the principle of entropy increment for analysis of the stability of operation of technica...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
The most frequently used in physical application diffusive (based on the Fokker-Planck equation) mod...
AbstractThis paper supplies a mathematical analysis for a large class of stochastic systems describe...
AbstractA class of nonlinear dynamical systems with random parameters and initial conditions is cons...
We report time-dependent Probability Density Functions (PDFs) for a nonlinear stochastic process wit...
AbstractBasic results on stochastic differential equations in Hilbert and Banach space, linear stoch...
AbstractA number of important equations of physics are shown to fit into the structure of a nonlinea...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
AbstractIn this paper an analysis of the actions of an abstract dynamical system upon an initial pro...
Summarization: The problem of stochastic stability of continuous dynamic systems is examined from th...
Fluctuations in nonlinear Markovian systems are studied by the Langevin equation method using system...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
A possibility of a relation between the Kolmogorov-Sinai entropy of a dynamical system and the entro...
A method of random response investigation of a nonlinear dynam-ical system is discussed. In particul...
We analyze the principle of entropy increment for analysis of the stability of operation of technica...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
The most frequently used in physical application diffusive (based on the Fokker-Planck equation) mod...