On information-gain minimizing solutions of certain master equations

An approximative method of solving master equations based on information-gain minimization is applied for the Schlögl's model systems showing nonequilibrium phase transitions. The time evolution of the mean value and of the fluctuation of the relevant stochastic variable is discussed.     

Master equation — The information gain minimum approximation

Approximate time-dependent solutions of a master equation having unique stationary solution can be obtained by minimizing the information gain functional subject to constraints for mean values of a number of chosen observables. We study mathematical properties of such an approximation. We find the region of applicability, prove that the approximate solutions are globally asymptotically stable, and show how the approximation is related to some exact integrodifferential equation governing the time evolution of the mean values of the chosen observables.     

On the Fokker-Planck equation with time-dependent drift and diffusion coefficients and its exponential solutions

The static critical behavior of a mixed hydrogen-bonded ferro-antiferroelectric system is investigated with use of a pseudo-spin Ising model in a transverse field, which describes the tunneling of protons. Assuming an infinite-ranged random interbond coupling, then0 replica method is applied to evaluate the averaged free energy, from which the replica-symmetric solution of the Sherrington-Kirkpatrick type is obtained. It is shown that a proton pseudo-spin glass (PG) phase exists below a freezing temperatureT _f , whereT _f and the order parameters for the PG and ferroelectric phase are parametrized by the tunneling frequency . For _c, where _c = and is the random distribution width, no ordering is possible even forT0. Numerical solutions for the PG order parameter and the dielectric susceptibility atT0 are obtained, and the phase diagram for a simple model of a mixed system atT0 is presented.Dedicated to Prof. Dr. H.E. Müser on the occasion of his 60th birthday     

Numerical simulation of two-stage combustion in SI engine with prechamber

Burning lean mixture in spark ignition (SI) engine leads to decrease in temperature of combustion process and is one of the methods of limiting nitric oxide emission and increasing the engine efficiency. The two-stage combustion system of stratified mixture (engine with prechamber) can be an effective method of lean mixture combustion. The paper presents the results of three-dimensional modeling of fuel mixture preparation and combustion in SI engine with sectional combustion chamber powered by liquefied fuel. Three dimensional modeling was performed in KIVA-3V code. The modeling results were compared with results obtained from the analysis of experimental measurements of two-stage combustion test engine operating at the Institute of Internal Combustion Engines and Control Engineering (Czestochowa University of Technology). The performed simulations of the combustion process provided data concerning the spatial and temporal distributions of turbulent kinetic energy, pressure, temperature and nitric oxides concentration in the combustion chambers of the engine. The engine model with two-stage combustion system properly represents the real processes which occur in the combustion chambers of the test engine. Pressure and temperature courses in function of CA obtained from the experiment and modeling were in good qualitative and quantitative consistence. Comparison of modeled and measured nitric oxide emissions revealed relatively significant discrepancies. In case of λ = 1.4, the measured values of NO_x concentration were 1.75 times higher than the modeled values. In case of λ = 2.0, the modeled and measured values were close to each other and were within the range of measurement error.