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Dimension random walk

This analysis can be extended to two- and three-dimensional random walks by assuming that particle motion in each dimension is independent. The mean square displacement and r.m.s. displacement for higher dimension random walks become ... [Pg.27]

The distribution for a random chain in one dimension (random walk) may be expressed in the form of Bernoulli s equation ... [Pg.124]

In the limit that the number of effective particles along the polymer diverges but the contour length and chain dimensions are held constant, one obtains the Edwards model of a polymer solution [9, 30]. Polymers are represented by random walks that interact via zero-ranged binary interactions of strength v. The partition frmction of an isolated chain is given by... [Pg.2366]

With this probability expression, it is an easy matter to calculate the average dimensions of a coil. Because of the back-and-forth character of the x, y, and z components of the random walk, the average end-to-end distance is less meaningful than the average of r. The latter squares positive and negative components before averaging and gives a more realistic parameter to characterize the coil. To calculate r, we remember Eq. (1.11) and write... [Pg.51]

Perikinetic motion of small particles (known as colloids ) in a liquid is easily observed under the optical microscope or in a shaft of sunlight through a dusty room - the particles moving in a somewhat jerky and chaotic manner known as the random walk caused by particle bombardment by the fluid molecules reflecting their thermal energy. Einstein propounded the essential physics of perikinetic or Brownian motion (Furth, 1956). Brownian motion is stochastic in the sense that any earlier movements do not affect each successive displacement. This is thus a type of Markov process and the trajectory is an archetypal fractal object of dimension 2 (Mandlebroot, 1982). [Pg.161]

T. Witten, L. Sander. Phys Rev Lett 47 1400, 1981 B. Kaye. A Random Walk through Fractal Dimensions. Weinheim VCH-Verlag, 1989. [Pg.920]

Fig. 75.—Vectorial representation in two dimensions of a freely jointed chain. A random walk of fifty steps. Fig. 75.—Vectorial representation in two dimensions of a freely jointed chain. A random walk of fifty steps.
Fig. 79.—Representation of a hindered chain in two dimensions. A random walk of fifty steps with angles between successive bonds limited to the range — tt/2 to tt/2. The scale is identical with that in Fig. 75 for an unrestricted random walk of the same number of steps. Fig. 79.—Representation of a hindered chain in two dimensions. A random walk of fifty steps with angles between successive bonds limited to the range — tt/2 to tt/2. The scale is identical with that in Fig. 75 for an unrestricted random walk of the same number of steps.
Derivation of the Gaussian Distribution for a Random Chain in One Dimension.—We derive here the probability that the vector connecting the ends of a chain comprising n freely jointed bonds has a component x along an arbitrary direction chosen as the x-axis. As has been pointed out in the text of this chapter, the problem can be reduced to the calculation of the probability of a displacement of x in a random walk of n steps in one dimension, each step consisting of a displacement equal in magnitude to the root-mean-square projection l/y/Z of a bond on the a -axis. Then... [Pg.426]

That volume bounded by the distance away from the electrode over which a redox-active species can diffuse to the electrode surface, within the timescale of the experiment being undertaken. From considerations of random walk in one dimension it can be shown that the distance / which a species moves in a time / is given by ... [Pg.173]

A second problem with the random walk model concerns the interaction between segments far apart along the contour of the chain but which are close together in space. This is the so-called "excluded volume" effect. The inclusion of this effect gives rise to an expansion of the chain, and in three-dimensions, 2 a, r3/5 (9), rather than the r dependence given in equation (I). [Pg.6]

The 67-fold amplification obtained for polymer 3 is restricted by an inherent limitation of the wired in series design. As the exciton travels in a one-dimensional random walk process down the polymer chain, it has equal opportunity to visit a preceding or an ensuing receptor. This represents 134 random stepwise movements for 134 phenylene ethynylene units, and so much of the receptor sampling by the exciton is redundant. Increasing the efficiency of receptor sampling requires maximization of the number of different receptors that an exciton can visit throughout its lifetime. To achieve this end we extended the polymer sensor into two dimensions by use of a thin film and thereby increased the sensitivity. [Pg.156]

Diffusion can be modeled as a random walk in three dimensions, and the value of the diffusion coefficient can be computed by the correlation formula... [Pg.112]

These sets of equations also describe the classic case of Brownian motion or random walk. The initial condition is that all M particles were at the central point, and then spread in one dimension (along a line), two dimensions (along a... [Pg.206]

Kaye BH (1989) A random walk through fractal dimensions. VCH, New York... [Pg.106]

Referring again to the metal spheres of submicroscopic dimensions, one point becomes clear. The smaller they are ( microns), the more they react to the thermal kicks from the ions and water molecules of the electrolyte they take off on a random walk through the solution. Large ( centimeters) spheres also exchange momentum with the particles of the solution, but their masses are huge compared with those of ions or molecules, so that the velocities resulting (to the spheres) from such collisions are essentially zero. [Pg.285]

How does the ion move on the surface It cannot drift under an electric field because the field at an interface is normal to the electrode surface (Fig. 7.131) and what is under discussion here is motion parallel to the surface plane. The movements are by a random-walk diffusion process in two dimensions, surface diffusion. [Pg.581]

In general, a dispersed particle is free to move in all three dimensions. For the present, however, we restrict our consideration to the motion of a particle undergoing random displacements in one dimension only. The model used to describe this motion is called a onedimensional random walk. Its generalization to three dimensions is straightforward. [Pg.86]

The dimensions of a randomly coiled polymer molecule are a topic that appears to bear no relationship to diffusion however, both the coil dimensions and diffusion can be analyzed in terms of random walk statistics. Therefore we may take advantage of the statistical argument we have developed to consider this problem. [Pg.94]

Berg, H. C., Random Walks in Biology, expanded ed. Princeton University Press, Princeton, NJ, 1993. (Undergraduate level. A lucid introduction to random walk statistics. Discusses translational and rotational diffusion, self-propelled motion, random walk, and sedimentation Relevant to biological species of colloidal dimensions, but no background in biology is needed.)... [Pg.101]

In order to fully appreciate the consequences of the rather simple mathematical rules which describe the random walk, we move one step further and combine Fick s first law with the principle of mass balance which we used in Section 12.4 when deriving the one-box model. For simplicity, here we just consider diffusion along one spatial dimension (e.g., along the x-axis.)... [Pg.788]

According to the model of random walk in three dimensions, the diffusion coefficient of a molecule i, can be expressed as one-third of the product of its mean free path A, and its mean three-dimensional velocity u, (Eq. 18-7a). In the framework of the molecular theory of gases, u, is (e.g., Cussler, 1984) ... [Pg.799]

The coefficient Ex is called the turbulent (or eddy) diffusion coefficient it has the same dimension as the molecular diffusion coefficient [L2 1]. The index x indicates the coordinate axis along which the transport occurs. Note that the turbulentjliffusion coefficient can be interpreted as the product of a mean transport distance Lx times a mean velocity v = (Aa At) l Egex, as found in the random walk model, Eq. 18-7. [Pg.1019]

Exact enumerations were subsequently undertaken for a number of lattices in two and three dimensions.13 Since random walk, and n2 for a completely stiff walk the form of Eq. (17) provides a reasonable interpolation between these extreme bounds. We should then expect... [Pg.240]


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See also in sourсe #XX -- [ Pg.13 , Pg.22 , Pg.23 , Pg.133 ]




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Dimensions of Random-Walk Chains

Random Walk in One Dimension

Random walk

Random walks in two dimensions

Walk

Walk dimension

Walking

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