Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Distribution variables, mixing particle concentration

The stochastic differential equation (2.2.15) could be formally compared with the Fokker-Planck equation. Unlike the complete mixing of particles when a system is characterized by s stochastic variables (concentrations the local concentrations in the spatially-extended systems, C(r,t), depend also on the continuous coordinate r, thus the distribution function f(Ci,..., Cs]t) turns to be a functional, that is real application of these equations is rather complicated. (See [26, 34] for more details about presentation of the Fokker-Planck equation in terms of the functional derivatives and problems of normalization.)... [Pg.89]

See other pages where Distribution variables, mixing particle concentration is mentioned: [Pg.47]    [Pg.111]    [Pg.197]    [Pg.267]    [Pg.533]    [Pg.431]    [Pg.161]    [Pg.4]    [Pg.24]    [Pg.30]    [Pg.429]    [Pg.314]    [Pg.458]    [Pg.406]    [Pg.366]    [Pg.2287]    [Pg.74]    [Pg.2270]    [Pg.45]    [Pg.2]    [Pg.1196]    [Pg.474]    [Pg.380]    [Pg.379]    [Pg.19]    [Pg.374]    [Pg.461]    [Pg.137]    [Pg.95]    [Pg.371]   
See also in sourсe #XX -- [ Pg.183 ]



SEARCH



Concentration distribution

Concentration variables

Concentric mixing

Distribution concentrates

Distributive mixing

Mixed Particles

Mixing concentrations

Mixing distributions

Mixing variables

Particle concentration

Particle distribution

Particle mixing

Particles concentration distribution

Variables distributed

© 2024 chempedia.info