Decay fractal

The cluster properties of the reactants in the MM model at criticality have been studied by Ziff and Fichthorn [89]. Evidence is given that the cluster size distribution is a hyperbolic function which decays with exponent r = 2.05 0.02 and that the fractal dimension (Z)p) of the clusters is Dp = 1.90 0.03. This figure is similar to that of random percolation clusters in two dimensions [37], However, clusters of the reactants appear to be more solid and with fewer holes (at least on the small-scale length of the simulations, L = 1024 sites). 

Power-law scattering features will be discussed in relation to mass-fractal scaling laws. Fractal scaling concepts used to interpret the power-law decay are well published in the literature. 

The power, [P], in the fractal power-law regime gives as the fractal dimension, d(. P = —df for each level of the fit, the parameters obtained using the unified model are G, Rg, B, and P. P is the exponent of the power-law decay. When more than one level is fitted, numbered subscripts are used to indicate the level—i.e., G —level 1 Guinier pre-factor. The scattering analysis in the studies summarized here uses two-level fits, as they apply to scattering from the primary particles (level 1) and the aggregates (level 2). 

Johans et al. derived a model for diffusion-controlled electrodeposition at liquid-liquid interface taking into account the development of diffusion fields in both phases [91]. The current transients exhibited rising portions followed by planar diffusion-controlled decay. These features are very similar to those commonly observed in three-dimensional nucleation of metals onto solid electrodes [173-175]. The authors reduced aqueous ammonium tetrachloropalladate by butylferrocene in DCE. The experimental transients were in good agreement with the theoretical ones. The nucleation rate was considered to depend exponentially on the applied potential and a one-electron step was found to be rate determining. The results were taken to confirm the absence of preferential nucleation sites at the liquid-liquid interface. Other nucleation work at the liquid-liquid interface has described the formation of two-dimensional metallic films with rather interesting fractal shapes [176]. 

In media of fractal structure, non-integer d values have been found (Dewey, 1992). However, it should be emphasized that a good fit of donor fluorescence decay curves with a stretched exponential leading to non-integer d values have been in some cases improperly interpreted in terms of fractal structure. An apparent fractal dimension may not be due to an actual self-similar structure, but to the effect of restricted geometries (see Section 9.3.3). Another cause of non-integer values is a non-random distribution of acceptors. 

In our opinion, this book demonstrates clearly that the formalism of many-point particle densities based on the Kirkwood superposition approximation for decoupling the three-particle correlation functions is able to treat adequately all possible cases and reaction regimes studied in the book (including immobile/mobile reactants, correlated/random initial particle distributions, concentration decay/accumulation under permanent source, etc.). Results of most of analytical theories are checked by extensive computer simulations. (It should be reminded that many-particle effects under study were observed for the first time namely in computer simulations [22, 23].) Only few experimental evidences exist now for many-particle effects in bimolecular reactions, the two reliable examples are accumulation kinetics of immobile radiation defects at low temperatures in ionic solids (see [24] for experiments and [25] for their theoretical interpretation) and pseudo-first order reversible diffusion-controlled recombination of protons with excited dye molecules [26]. This is one of main reasons why we did not consider in detail some of very refined theories for the kinetics asymptotics as well as peculiarities of reactions on fractal structures ([27-29] and references therein). 

Conversely, the relationship (7.2) expresses a time-scale invariance (selfsimilarity or fractal scaling property) of the power-law function. Mathematically, it has the same structure as (1.7), defining the capacity dimension dc of a fractal object. Thus, a is the capacity dimension of the profiles following the power-law form that obeys the fundamental property of a fractal self-similarity. A fractal decay process is therefore one for which the rate of decay decreases by some exact proportion for some chosen proportional increase in time the self-similarity requirement is fulfilled whenever the exact proportion, a, remains unchanged, independent of the moment of the segment of the data set selected to measure the proportionality constant. 

When nh is larger than the classical flux, the mechanism of suppression is well known that is, the quantum state cannot get through the fractal structure of the cantorus, and as a result the associated quantum transport is due entirely to tunneling. What is most interesting is that quantum transport is still suppressed, as seen in the decay behavior of P If, /,), even when nh is considerably smaller than the classical flux. To demonstrate that this suppression is uniquely related... 

Cantor s middle thirds set. We denote it by the symbol C. It has recently attracted much attention in connection with chaotic scattering and decay processes (see Sections 1.1 above and 2.3 below, Chapter 8 and Chapter 9). Cantor s middle thirds set is also an example of a fractal, a concept very important in chaos theory (see Section 2.3 for more details). 

We conclude this section by pointing out an important relationship between the decay rate 7, the Lyapunov exponent A and the fractal dimension d of a one-dimensional self-similar fractal. In the context of fractals, the Lyapunov exponent is the rate of stretching given by... 

If the fractal consists of k congruent sub-pieces that can be made equal to the whole fractal by stretching with the magnification factor m, then the dimension d of the set is given by (2.3.8). Also, from m and k we can calculate the decay rate. The fraction of probabihty remaining in every application of the fractal generating mapping is k/m. Since Pb j ) = k/m) = exp[—nln(m/A )], we get the decay rate... 

In the following section we prove that, despite the observed algebraic decay, the fractal is indeed a skinny fractal, i.e. it does not contain any regions of finite measure. 

Bliimel, R. (1993c). Exotic fractals and atomic decay, in Quantum Chaos, eds. G. Casati, I. Guarneri and U. Smilansky, (North-Holland, Amsterdam). 

Hillermeier, C.F., Bliimel, R. and Smilansky, U. (1992). Ionization of H Rydberg atoms Fractals and power-law decay, Phys. Rev. A45, 3486-3502. 

The mass-fractal dimension of the ramified agglomerates is determined from the slope of the weak power law decay in between the power law regimes that follow Porod s law (Equation 10.9) ... 

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