From dynamics to irreversibility and stochastic behavior
نویسندگان
چکیده
We study the connection between Hamiltonian dynamics and irreversible, stochastic equations, such as the Langevin equation. We consider a simple model of a classical harmonic oscillator (Brownian particle) coupled to a field (heat bath). In traditional approaches Langevin-type equations have been derived from Hamiltonian dynamics, but these equations contain memory terms and are both time-reversible and deterministic. In contrast the original Langevin equation has no memory terms (it is a Markovian equation). In recent years, Prigogine and collaborators have introduced an invertible transformation operator Λ that brings us to a new “kinetic” representation. In this representation dynamics is decomposed into independent Markovian components, including Brownian motion. Λ is obtained by an extension of the canonical (unitary) transformation operator U that eliminates interactions. While U can be constructed for integrable systems in the sense of Poincaré, for nonintegrable systems there appear divergences in the perturbation expansion, due to resonances. The removal of divergences leads to the Λ transformation. This transformation is “star-unitary.” Starunitarity for nonintegrable systems is an extension of unitarity for integrable systems. We show that Λ-transformed variables have the same time evolution as stochastic variables obeying Langevin equations, and that Λ-transformed distribution functions satisfy exact Fokker-Planck equations. The effects of Gaussian white noise are obtained by the non-distributive property of Λ with respect to products of dynamical variables.
منابع مشابه
Proposing A stochastic model for spread of corona virus dynamics in Nigeria
The emergence of corona virus (COVID-19) has create a great public concern as the outbreak is still ongoing and government are taking actions such as holiday extension, travel restriction, temporary closure of public work place, borders, schools, quarantine/isolation, social distancing and so on. To mitigate the spread, we proposed and analyzed a stochastic model for the continue spread of coro...
متن کاملGyration Radius and Energy Study at Different Temperatures for Acetylcholine Receptor Protein in Gas Phase by Monte Carlo, Molecular and Langevin Dynamics Simulations
The determination of gyration radius is a strong research for configuration of a Macromolecule. Italso reflects molecular compactness shape. In this work, to characterize the behavior of theprotein, we observe quantities such as the radius of gyration and the average energy. We studiedthe changes of these factors as a function of temperature for Acetylcholine receptor protein in gasphase with n...
متن کاملInformation Entropy Production of Maximum Entropy Markov Chains from Spike Trains
Experimental recordings of the collective activity of interacting spiking neurons exhibit 1 random behavior and memory effects, thus the stochastic process modeling the spiking activity 2 is expected to show some degree of time irreversibility. We use the thermodynamic formalism to 3 build a framework, in the context of spike train statistics, to quantify the degree of irreversibility 4 of any ...
متن کاملComparative Study of Random Matrices Capability in Uncertainty Detection of Pier’s Dynamics
Because of random nature of many dependent variables in coastal engineering, treatment of effective parameters is generally associated with uncertainty. Numerical models are often used for dynamic analysis of complex structures, including mechanical systems. Furthermore, deterministic models are not sufficient for exact anticipation of structure’s dynamic response, but probabilistic models...
متن کاملDynamical Simulations of Probabilities
It has been demonstrated that classical probabilities, and in particular, probabilistic Turing machine, can be simulated by combining chaos and nonLipschitz dynamics, without utilization of any man-made devices (such as random number generators). Selforganizing properties of systems coupling simulated and calculated probabilities and their link to quantum computations are discussed. Special att...
متن کاملStochastic functional population dynamics with jumps
In this paper we use a class of stochastic functional Kolmogorov-type model with jumps to describe the evolutions of population dynamics. By constructing a special Lyapunov function, we show that the stochastic functional differential equation associated with our model admits a unique global solution in the positive orthant, and, by the exponential martingale inequality with jumps, we dis...
متن کامل