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Continuous time random walk dynamic approach

Here, we present an approach for the description of such anomalous transport processes that is based on the continuous-time random walk theory for a power-law waiting time distribution w(t) but which can be used to find the probability density function of the random walker in the presence of an external force field, or in phase space. This framework is fractional dynamics, and we show how the traditional kinetic equations can be generalized and solved within this approach. [Pg.227]

We shall now almost exclusively concentrate on the fractal time random walk excluding inertial effects and the discrete orientation model of dielectric relaxation. We shall demonstrate how in the diffusion limit this walk will yield a fractional generalization of the Debye-Frohlich model. Just as in the conventional Debye relaxation, a fractional generalization of the Debye-Frohlich model may be derived from a number of very different models of the relaxation process (compare the approach of Refs. 22, 23, 28 and 34—36). The advantage of using an approach based on a kinetic equation such as the fractional Fokker-Planck equation (FFPE) however is that such a method may easily be extended to include the effects of the inertia of the dipoles, external potentials, and so on. Moreover, the FFPE (by use of a theorem of operational calculus generalized to fractional exponents and continued fraction methods) clearly indicates how many existing results of the classical theory of the Brownian motion may be extended to include fractional dynamics. [Pg.299]


See other pages where Continuous time random walk dynamic approach is mentioned: [Pg.194]    [Pg.228]    [Pg.251]    [Pg.221]    [Pg.934]    [Pg.587]    [Pg.24]   
See also in sourсe #XX -- [ Pg.410 , Pg.413 ]

See also in sourсe #XX -- [ Pg.410 , Pg.413 ]




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Continual approach

Continuous approach

Continuous time

Continuous time random walk

Dynamic approach

Dynamical approaches

Random walk

Randomization time

Walk

Walking

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