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Probability density function Brownian motion

In order to describe the fractional rotational diffusion, we use the FKKE for the evolution of the probability density function W in configuration angular-velocity space for linear molecules in the same form as for fixed-axis rotators—that is, the form of the FKKE suggested by Barkai and Silbey [30] for one-dimensional translational Brownian motion. For rotators in space, the FKKE becomes... [Pg.380]

Lutz also compared his results with those predicted by the fractional Klein-Kramers equation for the probability density function/(x, v, f) in phase space for the inertia-corrected one-dimensional translational Brownian motion in a potential Eof Barkai and Silbey [30], which in the present context is... [Pg.416]

In normal Brownian motion corresponding to the limit a = 2, the survival probability S of a particle whose motion at time t 0 which is initiated in one of the potential minima xmln = 1, follows an exponential decay //(f) = exp (—t/Tc) with mean escape time 7 , such that the probability density function... [Pg.475]

It should be noted that we integrate with respect to the forward variable y in (3.236). In this case, (3.236) has a very nice probabilistic interpretation. Consider the Brownian motion B t), which is a stochastic process with independent increments, such that B(t + s) - B(s) is normally distributed with zero mean and variance 2Dt. The corresponding transition probability density function p y, t x) is given by (3.237). Therefore the solution (3.236) has a probabilistic representation... [Pg.102]

There are two assumptions for the theory of DLS. The particles which are in Browian motion is the first assumption [63]. First, it was observed by Robert Brown in 1827. The intensity of the scattered hght is concerned with the motion of the scatterers [61]. Brownian motion is measured by DLS giving the information about the size of the particles [60]. The Brownian motion of particles leads to laser light to be scattered at different intensities. Brownian motion is the random movement of particles. The cumulative effect of bombardment by the suspending medium s molecules creates the motion of particles in the solution. The larger particles have the slower Brownian motion [60]. In Brownian motion, the probability density function can be calculated by the formula [63] ... [Pg.102]

The first pubUshed criticism of the binary collision model was due to Fixman he retained the approximation that the relaxation rate is the product of a collision rate and a transition probabihty, but argued that the transition probability should be density dependent due to the interactions of the colliding pair with surrounding molecules. He took the force on the relaxing molecule to be the sum of the force from the neighbor with which it is undergoing a hard binary collision, and a random force mA t). This latter force was taken to be the random force of Brownian motion theory, with a delta-function time correlation ... [Pg.494]


See other pages where Probability density function Brownian motion is mentioned: [Pg.118]    [Pg.224]    [Pg.364]    [Pg.400]    [Pg.176]    [Pg.52]    [Pg.116]    [Pg.130]    [Pg.376]    [Pg.76]    [Pg.60]    [Pg.293]    [Pg.1504]    [Pg.336]    [Pg.39]    [Pg.18]    [Pg.237]   
See also in sourсe #XX -- [ Pg.224 , Pg.225 , Pg.226 , Pg.227 ]




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