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Asymptotic behavior analysis

The quantities FA and FB are the apparent abundances of the sample for A- and B-type atoms, respectively. These are what an atom-probe analysis gives directly. To find the true abundances, fA and/B, one may solve eqs (3.21) to (3.24) for them using a numerical method. For this purpose, it is necessary that the value of en is known. This quantity can be derived by comparing the measured relative abundance of two isotopes of the same element with that listed in the isotope table. There are a few asymptotic behaviors of interest ... [Pg.157]

Fig. 2 Positional detection and mean-square displacement (MSD). (a) The x, y-coordinates of a particle at a certain time point are derived from its diffraction limited spot by fitting a 2D-Gaussian function to its intensity profile. In this way, a positional accuracy far below the optical resolution is obtained, (b) The figure depicts a simplified scheme for the analysis of a trajectory and the corresponding plot of the time dependency of the MSD. The average of all steps within the trajectory for each time-lag At, with At = z, At = 2z,... (where z = acquisition time interval from frame to frame) gives a point in the plot of MSD = f(t). (c) The time dependence of the MSD allows the classification of several modes of motion by evaluating the best fit of the MSD plot to one of the four formulas. A linear plot indicates normal diffusion and can be described by = ADAt (D = diffusion coefficient). A quadratic dependence of on At indicates directed motion and can be fitted by = v2At2 + ADAt (v = mean velocity). An asymptotic behavior for larger At with = [1 - exp (—AA2DAt/)] indicates confined diffusion. Anomalous diffusion is indicated by a best fit with = ADAf and a < 1 (sub-diffusive)... Fig. 2 Positional detection and mean-square displacement (MSD). (a) The x, y-coordinates of a particle at a certain time point are derived from its diffraction limited spot by fitting a 2D-Gaussian function to its intensity profile. In this way, a positional accuracy far below the optical resolution is obtained, (b) The figure depicts a simplified scheme for the analysis of a trajectory and the corresponding plot of the time dependency of the MSD. The average of all steps within the trajectory for each time-lag At, with At = z, At = 2z,... (where z = acquisition time interval from frame to frame) gives a point in the plot of MSD = f(t). (c) The time dependence of the MSD allows the classification of several modes of motion by evaluating the best fit of the MSD plot to one of the four formulas. A linear plot indicates normal diffusion and can be described by <r2> = ADAt (D = diffusion coefficient). A quadratic dependence of <r2> on At indicates directed motion and can be fitted by <r2> = v2At2 + ADAt (v = mean velocity). An asymptotic behavior for larger At with <r2> = <rc2> [1 - exp (—AA2DAt/<rc2>)] indicates confined diffusion. Anomalous diffusion is indicated by a best fit with <r2> = ADAf and a < 1 (sub-diffusive)...
Rigorous properties of the optimized effective potential (OEP) are derived. We present a detailed analysis of the asymptotic form of the OEP, going beyond the leading term. Furthermore, the asymptotic properties of the approximate OEP scheme of Krieger, Li and Iafrate [Phys. Lett. A 146, 256 (1990)] are analysed, showing that the leading asymptotic behavior is preserved by this approximation. [Pg.31]

The situation becomes much more complicated in the presence of two or more connected bands the band gaps cause asymptotically undamped oscil-lations We refer to the papers of Magnus and Turchi et al. fm a very detailed theoretical and numerical analysis of the asymptotic behavior of the continued fraction coefficients. [Pg.161]

Theorem 7.1 guarantees the coexistence of both the Xi and X2 populations when Ec exists. However, it does not give the global asymptotic behavior. The further analysis of the system is complicated by the possibility of multiple limit cycles. Since this is a common difficulty in general two-dimensional systems, it is not surprising that such difficulties occur in the analysis of three-dimensional competitive systems. [Pg.96]

As in the model of Section 2, the problem can be studied on its omega limit set with three rest points Eq,Ei,E2. A local stability analysis and, for some special cases, the asymptotic behavior of solutions were given in [E]. However, the populations cannot invade each other simultaneously El and E2 cannot be simultaneously unstable), so the persistence theory does not hold [E]. Moreover, for Michaelis-Menten dynamics, when one of the boundary rest points is locally stable and the other unstable, the locally stable one is globally stable [HWE]. In particular, the oscillation observed in the case of system (3.2) does not occur with (3.4). Indeed, the delayed system seems to behave much like the simple chemostat. [Pg.243]

Although the system (4.2) looks similar to the equations for the chemostat in Chapter 1, the analysis is more difficult because the system is no longer competitive. Stephanopoulos and Lapidus used a very clever index argument to generate phase portraits. However, such arguments are only local [HWW] determined the global asymptotic behavior. [Pg.245]

However, it has been established by Weber (see also Ref. ) that some characteristic averaged parameters of the relaxation spectrum can be obtained more or less simply from the analysis of the behavior of Y Tjn) over a limited range of Tjn values (in particular, at Tjn 0) or, if certain assumptions are made, concerning the asymptotic behavior of Y Tfn) at T/n (by the extrapolation of experimental data in a finite range of T/n). [Pg.10]

Here we are interested in the asymptotic behavior of the exact solution to Eq. (57) and we follow the analysis of Bologna et al. [52]. The most direct way to determine these properties is to take the Laplace transform in time and Fourier transform in space to obtain the Fourier-Laplace transform of the Liouville density... [Pg.39]

The empirical intermolecular force fields are in most cases built of terms that are in a close correspondence with the interaction energy components described above. One may say that such force fields are simplest possible implementations of the SAPT approach. The functional forms used are based on SAPT analysis of the asymptotic behavior of the components. The electrostatic interactions are usually approximated by interactions of fractional charges located on atoms in each monomer. In simplest cases, the induction effects are not included explicitly but some more sophisticated force fields use the classical polarization model. The dispersion forces are accounted for by hnear combinations of l/R ab terms where R b are interatomic distances and the exchange forces by either exponential or 1 terms. [Pg.921]

In the following section, we examine the Bo — 0 asymptotic behavior by using the volume-averaged governing equations. This one-dimensional analysis allows for an estimation of qcr and the length of the isothermal two-phase region for q > qcr. [Pg.704]

In this chapter we will derive an expression for the vertical component of the magnetic field on the axis of a borehole when the source of the primary field is a vertical magnetic dipole and the formation has an infinite thickness. Special attention will be paid to the analysis of frequency responses of quadrature and inphase components of the field, including their asymptotic behavior. The influence of various parameters of a geoelectric section will also be investigated. Such questions as the influence of finite dimensions of coils, displacement of the induction probe wdth respect to the borehole axis, the role of magnetic permeability and dielectric constant will be studied. [Pg.187]

Therefore, for all finite systems, the asymptotic behavior of v (r) arises from the Fermi hole charge distribution p r, r ) and is given exactly by the structure of WP(r). The above analysis and conclusions are borne out as shown in the example of the Helium ground-state discussed in Sect. 5.2.1. [Pg.194]

Another method for determining dependences Ei(A, k) at small gaps between particles involves analysis of asymptotic behavior of factors of as A 0. It can be shown that if the size of the gap between particles is much less than their radii, the electric field in the clearance near to the line between particle centers is close to uniform. Here, we introduce a cylindrical system of coordinates (p,0,z), as shown in Fig. 12.4. [Pg.357]

We now turn attention to the analysis of coupled mass transfer and chemical reaction, and in particular we try to establish con ditions of asymptotic behavior. For the sake of simplicity, we begin by considering the case where only one chemical reaction may take place in the liquid let r be the rate at which the reaction takes place, i.e., the number of moles of component A which are consumed per unit time and per unit volume. Notice that, by definition, r is positive in absorption and negative in desor tion. In general, the rate r will be given by some kinetic equation of the following general form ... [Pg.24]

As soon as serious attention is given to the analysis of chemical desorption, it is immediately apparent that classical concepts of chemical absorption theory cannot be carried over directly to chemical desorption. The most striking example is the concept of irreversibility, which is the asymptotic behavior most commonly analyzed in the literature on chemical absorption. Apply ing the same ideas to chemical desorption leads immediately to paradoxes. Furthermore, the very idea of irreversibility appears to require some rethinking, for should the chemical reactions taking place in the absorber unit really be irreversible, the desorption step would be impossible to perform. [Pg.39]

Fig. 2 Cyclic voltammetric analysis of enzymatic catalytic currents obtained with a reaction scheme of the type shown in Sch. 1. Variation of the normalized peak or plateau current (peak current when there is a peak, plateau current, when the peak has vanished into a plateau) with the two kinetic parameters A and a (full lines). Dotted lines asymptotic behavior for A —> 00 (the wave is then plateau-shaped). Fig. 2 Cyclic voltammetric analysis of enzymatic catalytic currents obtained with a reaction scheme of the type shown in Sch. 1. Variation of the normalized peak or plateau current (peak current when there is a peak, plateau current, when the peak has vanished into a plateau) with the two kinetic parameters A and a (full lines). Dotted lines asymptotic behavior for A —> 00 (the wave is then plateau-shaped).
In addition to finding the concentrations that make all the time derivatives in the rate equations vanish, it is useful to have another piece of information about such a time-independent or steady state. If the system starts at the steady state and is then subjected to a small perturbation, for example, injection or removal of a pinch of one of the reactants, we may ask whether the system will return to the original state or will evolve toward some other asymptotic behavior. The question we are asking here is whether or not the state of interest is stable. One of the basic tools of nonlinear chemical dynamics is stability analysis, which is the determination of how a given asymptotic solution to the rate equations describing a system will respond to an infinitesimal perturbation. [Pg.25]

The scaling concept was applied for the analysis of chain conformations and static properties of the semidilute polymer solutions. The unique characteristic length scale in dilute solution imposes a unique characteristic concentration of the solution, which coincides with the intramolecular concentration c in an isolated coil. All the properties of the semidilute solution can be derived from those of the dilute solution by scaling procedure with the aid of proper crossover functions of a single dimensionless variable c/c. These crossover functions are universal, that is, independent of any details of chemical stmcture of the chains, and exhibit power-law asymptotic behavior at c/c 1. [Pg.56]

A more comprehensive understanding of the zero scale asymptotic behavior of the Ut solutions can be obtained by transforming the scalet equation (four coupled, first order, differential equations) into one fourth order differential equation for fj,o a,b). From lowest order JWKB analysis, one obtains the four basic modes (Handy and Brooks (2000))... [Pg.235]


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See also in sourсe #XX -- [ Pg.50 , Pg.51 ]

See also in sourсe #XX -- [ Pg.50 , Pg.51 ]




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