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Fokker-Planck equation Brownian motion

Keilson J., Storer J. E. On a Brownian motion, Boltzmann equation and the Fokker-Planck equation, Quart. Appl. Math., 10, 243-53 (1952). [Pg.279]

Equation (2.6) is called the Fokker-Planck equation (FPE) or forward Kolmogorov equation, because it contains time derivative of final moment of time t > to. This equation is also known as Smoluchowski equation. The second equation (2.7) is called the backward Kolmogorov equation, because it contains the time derivative of the initial moment of time to < t. These names are associated with the fact that the first equation used Fokker (1914) [44] and Planck (1917) [45] for the description of Brownian motion, but Kolmogorov [46] was the first to give rigorous mathematical argumentation for Eq. (2.6) and he was first to derive Eq. (2.7). The derivation of the FPE may be found, for example, in textbooks [2,15,17,18],... [Pg.362]

The main disadvantage of the perfect sink model is that it can only be applied for irreversible deposition of particles the reversible adsorption of colloidal particles is outside the scope of this approach. Dahneke [95] has studied the resuspension of particles that are attached to surfaces. The escape of particles is a consequence of their random thermal (Brownian) motion. To this avail he used the one-dimensional Fokker-Planck equation... [Pg.211]

Analysis of a physical problem involving Brownian motion can normally determine only the values of the coefficients and that appear in the Fokker-Planck equation. The matrix of coefficients S "" is required only to satisfy Eq. (2.229), which is generally not sufficient to determine a unique value for B ". For L > 1 and M = L, there are generally an infinite number of ways of... [Pg.121]

If the velocity dependence of the rate of a reaction could be assumed to be constant and equal to k for velocities in excess of u0 and zero below 0, then reaction could be regarded as bleeding-off those reactant (Brownian) particles which have an energy in excess lmti02. This perturbs the velocity distribution of reactants and hence of solvent molecules [446]. Under such circumstances, the Fokker—Planck equation should be used to describe the chemical reaction. If this simple form of representing reaction is incorrect, there is little that can be done currently. The Fokker—Planck equation contains too much information about Brownian motion. In particular, the velocity dependence of the Brownian particles distribution is relatively unimportant. Davies [447] reduced the probability... [Pg.329]

Since the velocity relaxation time, m/J, is typically 0.1 ps, t is rather shorter than that estimated from the decay of the velocity autocorrelation function. As an operational convenience, rrel — mjl can be deduced from the decay time re of the velocity autocorrelation functions. However, this procedure still does not entirely adequately describe the details of Brownian motion of particles over short times. The velocity relaxes in a purely exponential manner characteristic of a Markovian process. Further comments on the reduction of the Fokker—Planck equation to the diffusion equation have been made by Harris [526] and Tituiaer [527]. [Pg.331]

The formulation of the Fokker-Planck equation is due to Fokker s and Planck s independent works on the description of the Brownian motion of particles [17, 18]. Commonly, an N variables equation of the type... [Pg.236]

Diffusion can be considered as a stochastic or random process and described by the so-called Fokker-Planck equation adapted to Brownian motion. This equation is also known as the Smoluchowski equation. We consider the description of stochastic processes and Brownian motion in more detail in Section 11.1 and Appendix H. [Pg.238]

Kramers theory is based on the Fokker-Planck equation for the position and velocity of a particle. The Fokker-Planck equation is based on the concept of a Markov process and in its generic form it contains no specific information about any particular process. In the case of Brownian motion, where it is sometimes simply called the Kramers equation, it takes the form... [Pg.268]

We now specialize the Fokker-Planck equation to the case of Brownian motion in Section 11.1. In this case, the variable y is the velocity v of the Brownian particle. We also note that the average of a function of the velocity v at time t, given that v = vo at t = t0, is simply expressed in terms of the transition probability by... [Pg.367]

The idea in Kramers theory is to describe the motion in the reaction coordinate as that of a one-dimensional Brownian particle and in that way include the effects of the solvent on the rate constants. Above we have seen how the probability density for the velocity of a Brownian particle satisfies the Fokker-Planck equation that must be solved. Before we do that, it will be useful to generalize the equation slightly to include two variables explicitly, namely both the coordinate r and the velocity v, since both are needed in order to determine the rate constant in transition-state theory. [Pg.369]

The relative Brownian motion between the constituents of doublets consisting of sufficiently small equal-size aerosol particles is described by a one-dimensional Fokker-Planck equation in the particle energy space. A first passage time approach is employed for the calculation of the average lifetime of the doublets. This calculation is based on the assumption that the initial distribution of tire energy of the relative motion of the constituent particles is Maxwellian. The average dissociation time of doublets, in air at 1 atm and 298 K, for a Hamaker constant of 10 12 erg has been calculated for different sizes of the constituent particles. The calculations are found to be consistent with the assumption that the... [Pg.58]

Equations [13], [14], and [15] involve the assumption that the time scale of the process is large compared to the relaxation time t of the velocity distribution of particles, hence that this distribution reaches equilibrium rapidly In each of the points of the system. A measure of this relaxation time is the reciprocal of the friction coefficient obtained from the Langevin equation for the Brownian motion of a free particle (t = M/Ctoi/ ), where Mis the mass of the particle. If this condition is not satisfied, the Fokker-Planck equation (8) should be the starting point of the analysis. [Pg.133]

The Brownian motion of a particle under the influence of an external force field, and its consequent escape over a potential barrier has to be treated, in general, using the Fokker-Planck equation. This equation gives the distribution function W governing the probability that a particle will be after time t at a point x with velocity u (Chandrasekhar, 1943). In one dimension it has the form ... [Pg.156]

Chapter 8 by W. T. Coffey, Y. P. Kalmykov, and S. V. Titov, entitled Fractional Rotational Diffusion and Anomalous Dielectric Relaxation in Dipole Systems, provides an introduction to the theory of fractional rotational Brownian motion and microscopic models for dielectric relaxation in disordered systems. The authors indicate how anomalous relaxation has its origins in anomalous diffusion and that a physical explanation of anomalous diffusion may be given via the continuous time random walk model. It is demonstrated how this model may be used to justify the fractional diffusion equation. In particular, the Debye theory of dielectric relaxation of an assembly of polar molecules is reformulated using a fractional noninertial Fokker-Planck equation for the purpose of extending that theory to explain anomalous dielectric relaxation. Thus, the authors show how the Debye rotational diffusion model of dielectric relaxation of polar molecules (which may be described in microscopic fashion as the diffusion limit of a discrete time random walk on the surface of the unit sphere) may be extended via the continuous-time random walk to yield the empirical Cole-Cole, Cole-Davidson, and Havriliak-Negami equations of anomalous dielectric relaxation from a microscopic model based on a... [Pg.586]

Example 7.6 Fokker-Planck equation for Brownian motion in a temperature gradient short-term behavior of the Brownian particles The following is from Perez-Madrid et al. (1994). By applying the nonequilibrium thermodynamics of internal degrees of freedom for the Brownian motion in a temperature gradient, the Fokker-Planck equation may be obtained. The Brownian gas has an integral degree of freedom, which is the velocity v of a Brownian particle. The probability density for the Brownian particles in velocity-coordinate space is... [Pg.395]

Using Eq. (7.204) in Eq. (7.188), the Fokker-Planck equation for the Brownian motion in a heat bath with a temperature gradient is obtained... [Pg.397]

Combining Brownian movement and random walk with particle motion in a fast fluidized bed, they derived the following Fokker-Planck equation with respect to voidage ... [Pg.158]

The excellent review of Chandrasekhar provides a detailed account of the history of the subject, to which both Smoluchowski and Einstein made fundamental contributions. It is worth mentioning the well-known paper of Kramers, who provided a rigorous derivation of the Smoluchowski equation from the complete Fokker-Planck equation of a Brownian particle in an external potential. This problem allows us to explain what we mean by a systematic version of the AEP. We can state the problem as follows. Let us consider the motion of a free Brownian particle described by the one-dimensional counterpart of Eq. (1.2),... [Pg.30]

The investigation of Brownian particle motion led to the development of the mathematical theory of random processes which has been widely adopted. A great contribution to the mathematical theory of Brownian motion was made by Wiener and Kolmogorov for example, Wiener proved that the trajectory of Brownian motion is almost everywhere continuous but nowhere differentiable, Kolmogorov introduced the concept of forward and backward Fokker-Planck equations. [Pg.257]

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]

The above stochastic collision model then leads to a generalization, Eq. (253), of the Fokker-Planck equation for the evolution of the phase distribution function for mechanical particles, where the velocities acquire a fractional character [30], rather than both the displacements and the velocities as in Eq. (235). In the present context, all these comments apply, of course, to rotational Brownian motion. [Pg.374]

In previous sections, we have treated anomalous relaxation in the context of the fractional Fokker-Planck equation. As far as the Langevin equation treatment of anomalous relaxation is concerned, we proceed first by noting that Lutz [47] has introduced the following fractional Langevin equation for the translational Brownian motion in a potential V ... [Pg.414]

We have mentioned that the question posed above was answered in part by Shliomis and Stepanov [9]. They showed that for uniaxial particles, for weak applied magnetic fields, and in the noninertial limit, the equations of motion of the ferrofluid particle incorporating both the internal and the Brownian relaxation processes decouple from each other. Thus the reciprocal of the greatest relaxation time is the sum of the reciprocals of the Neel and Brownian relaxation times of both processes considered independently that is, those of a frozen Neel and a frozen Brownian mechanism In this instance the joint probability of the orientations of the magnetic moment and the particle in the fluid (i.e., the crystallographic axes) is the product of the individual probability distributions of the orientations of the axes and the particle so that the underlying Fokker Planck equation for the joint probability distribution also... [Pg.155]

The Mean-Square Displacement of a Brownian Particle Langevin s Method Applied to Rotational Relaxation Application of Langevin s Method to Rotational Brownian Motion The Fokker-Planck Equation Method (Intuitive Treatment) Brown s Intuitive Derivation of the Fokker-Planck Equation... [Pg.263]


See other pages where Fokker-Planck equation Brownian motion is mentioned: [Pg.203]    [Pg.78]    [Pg.430]    [Pg.49]    [Pg.61]    [Pg.587]    [Pg.420]    [Pg.271]    [Pg.289]    [Pg.292]    [Pg.324]    [Pg.327]    [Pg.364]    [Pg.745]    [Pg.177]   
See also in sourсe #XX -- [ Pg.255 , Pg.256 ]

See also in sourсe #XX -- [ Pg.255 , Pg.256 ]




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Fokker-Planck equation

Fokker-Planck equation equations

Motion equations

Planck

Planck equation

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