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Poisson-stable point

The central sub-class of non-wandering points are points which are stable in the sense of Poisson. The main feature of a Poisson-stable point is not only the recurrence of its neighborhood but the recurrence of the trajectory itself. The definition of Poisson-stable points below is different in some ways but equivalent to the definition given in Chap. 1. [Pg.33]

Definition 7.5. A point xq is said to be positively stable in the sense of Poisson -stable) if there exists a sequence where tn +oo asn -hoo, such that... [Pg.33]

The definition of a negative Poisson stable (P -stable) point is analogous to the above except that tn - oo here. In the case where the point Xq is both -stable and P -stable, it is said to be stable in the sense of Poisson. [Pg.33]

In the preceding sections, we have discussed the set of center motions. In essence, we have found that it is the closure of the set of Poisson-stable trajectories. It does not exclude the case where the latter ones may simply be periodic orbits. But if there is a single Poisson-stable unclosed trajectory, then by virtue of Birkhoff s theorem in Sec. 1.2, there is a continuum of Poisson-stable trajectories. As for the rest of the trajectories in the center, it is known that the set of points which are not Poisson-stable is the union of not more... [Pg.36]

The Poisson-stable trajectories may be sub-divided into two kinds depending on whether the sequence Tfc(e) of Poincare return times of a P-trajectory to its -neighborhood is bounded or not. Birkhoff named the trajectories of the first kind recurrent trajectories. Such a trajectory is remarkable because regardless of the choice of the initial point, given e > 0 the whole trajectory lies in an -neighborhood of the segment of the trajectory corresponding to a time interval L(e). Obviously, equilibrium states and periodic orbits are the closed recurrent trajectories. [Pg.37]

The closure of an unclosed Poisson-stable trajectory whose return times are unbounded for some e > 0 is called a quasiminimal set. A quasiminimal set contains, besides Poisson-stable trajectories which are dense everywhere in it, some other invariant and closed subsets. These may be equilibrium states, periodic orbits, non-resonant invariant tori, other minimal sets, homoclinic and heteroclinic orbits, etc., among which a P-trajectory is wandering. This gives a clue to why the recurrent times of the non-trivial unclosed P-trajectory are unbounded. Furthermore, this also points out that Poisson-stable trajectories of a quasiminimal set, due to their unpredictable behavior in time, are of... [Pg.37]

Soft white, ductile metal high-purity metal is very ductile at ordinary temperatures occurs in three allotropic forms (i) body-centered cubic form, alpha iron stable up to 910°C, (ii) face-centered cubic form, gamma iron occurring between 910 to 1,390°C, and (iii) body-centered delta iron allotrope forming above 1,390°C. Density 7.873 g/cm at 20°C melting point 1,538°C vaporizes at 2,861°C hardness (Brinell) 60 electrical resistivity 4.71 microhm-cm at 0°C tensile strength 30,000 psi Poisson s ratio 0.29 modulus of elasticity 28.5 X 10 psi thermal neutron absorption cross-section 2.62 bams velocity of sound 5,130 m/s at 20°C. [Pg.411]

Fig. 2. Plot of the relative proportionality constant a as a function of the saturation (65,536 counts). Each data point represents at least 10 photoelectrons thus the uncertainty due to Poisson statistics is 10 . The data rvere accumulated using a very stable incandescent lamp and various accurately gated integration times. Plot (a) is the result of 42 tests of 5 different diodes across the array. In each test, the number of counts for a given exposure was compared with the number of counts recorded for a reference exposure corresponding to approximately 50% of saturation. The a value drops suddenly beyond 96% saturation. Plot (6) depicts the same data as (a) on an expanded scale in order to show the rapid dropoff of a as the percent of satination exceeds 96%. (Reprinted with permission from Menningen etal., 1995a, Contrib. Plasma Phys. 35, 359, 1995 Wiley-VCH, Inc.)... Fig. 2. Plot of the relative proportionality constant a as a function of the saturation (65,536 counts). Each data point represents at least 10 photoelectrons thus the uncertainty due to Poisson statistics is 10 . The data rvere accumulated using a very stable incandescent lamp and various accurately gated integration times. Plot (a) is the result of 42 tests of 5 different diodes across the array. In each test, the number of counts for a given exposure was compared with the number of counts recorded for a reference exposure corresponding to approximately 50% of saturation. The a value drops suddenly beyond 96% saturation. Plot (6) depicts the same data as (a) on an expanded scale in order to show the rapid dropoff of a as the percent of satination exceeds 96%. (Reprinted with permission from Menningen etal., 1995a, Contrib. Plasma Phys. 35, 359, 1995 Wiley-VCH, Inc.)...
An issue with the PCM formalism introduced in Section 11.2.2.1 is that the electrostatic energy is in general a discontinuous function as the solute atoms are displaced, because the number and size of the surface tesserae may change as a function of solute geometry. A similar problem is suffered by finite-difference Poisson-Boltzmann solvers, and the "solution" in those cases (in order to achieve stable forces for MD simulations, for example) is tight thresholding and/or some kind of interpolation between grid points [80-83]. [Pg.388]

Since each point on a P-trajectory is non-wandering, this result is also valid for points stable in the sense of Poisson. The closing lenuna implies the following meaningful corollary a rough system with a P-trajectory possesses infinitely many periodic orbits. [Pg.43]


See other pages where Poisson-stable point is mentioned: [Pg.74]    [Pg.293]    [Pg.203]    [Pg.501]    [Pg.64]    [Pg.637]    [Pg.296]   
See also in sourсe #XX -- [ Pg.401 , Pg.404 ]




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