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Confined model systems oscillator

In this section, we present some general results on the information theoretical uncertainty-like measures applicable to the standard model systems of hydrogen-like atoms and the isotropic harmonic oscillator. The characteristic features of the spherically confined systems will be highlighted. [Pg.69]

An alternative and very accurate way to solve the problem was given by Aquino [34,35], which is based on a procedure developed by Campoy and Palma [189,190] for free (unbounded) systems. This method has been successfully applied in the following contexts The spherically confined harmonic oscillator [13], computation of the Einstein coefficients of the ID asymmetrically confined harmonic oscillator [169], confined 2D hydrogen atom [185], and also in the study of free (unbounded) systems as the inversion frequencies of NH3, in which the inversion potential is modeled by a 20th-degree polynomial [191], and in the Mitra potential [192]. [Pg.140]

The theory of confined harmonic oscillators parallels the theory for constrained hydrogenic systems. Here we consider the details when a 3-d harmonic oscillator model is constrained to two dimensions This is analogous to hydrogen, and after separation in cylindrical coordinates the p equation is... [Pg.196]

Fig. 9. Spatio-temporal pattern forming phenomena in the reaction-diffusion system (3) with symmetric Dirichlet boundary conditions and the slow manifold (8). The model parameters are e = 0.01, a = 0.01, uo = ui = —2. (a) D = 0.0322560 (7,7 oscillating pattern confined to the lower branch (b) D = 0.0322550 Cr crisis-induced intermittent bursting (c) D = 0.0322307 homoclinic intermittent bursting (d) D = 0.0322400 PJ periodic bursting,... Fig. 9. Spatio-temporal pattern forming phenomena in the reaction-diffusion system (3) with symmetric Dirichlet boundary conditions and the slow manifold (8). The model parameters are e = 0.01, a = 0.01, uo = ui = —2. (a) D = 0.0322560 (7,7 oscillating pattern confined to the lower branch (b) D = 0.0322550 Cr crisis-induced intermittent bursting (c) D = 0.0322307 homoclinic intermittent bursting (d) D = 0.0322400 PJ periodic bursting,...
We begin this chapter with a discussion of the automaton and present the details of the model construction in Section 2. A number of different systems has been studied using this method in order to investigate fluctuation effects on chemical wave propagation and domain growth in bistable chemical systems [6], excitable media and Turing pattern formation [3,4,7], surface catalytic oxidation processes [8], as well as oscillations and chaos [9]. Our discussions will be confined to the Willamowski-Rossler [10] reaction which displays chemical oscillations and chaos as well as a variety of spatiotemporal patterns. This reaction scheme is sufficiently rich to illustrate many of the internal noise effects we wish to present the references quoted above can be consulted for additional examples. Section 3 applies the general considerations of Section 2 to the Willamowski-Rossler reaction. Sections 4 and 5 describe a variety of aspects of the effects of fluctuations on pattern formation and reaction processes. Section 6 contains the conclusions of the study. [Pg.610]


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See also in sourсe #XX -- [ Pg.196 ]




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