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Physical Distances Become Critical

When we come to AC effects, we have to hrst understand why in the example above we asked that the load be considered far away from the converter. We were basically trying to introduce real-world impedances to see their effect (probably somewhat exaggerated). We knew that copper being a very good conductor, we would need to be literally far away to create enough DC resistance for it to become significant—or to use [Pg.45]

The impedance of one inch of PCB trace is typically 20nH. So its impedance to, say, a 2MHz Fourier component is [Pg.46]

If rise and fall times are the same, t R is equivalent to fRisE = all [Pg.46]


Changing the distance between the critical points requires a new variable (in addition to the three independent fractional concentrations of the four-component system). As illustrated by Figure 5, the addition of a fourth thermodynamic dimension makes it possible for the two critical end points to approach each other, until they occur at the same point. As the distance between the critical end points decreases and the height of the stack of tietriangles becomes smaller and smaller, the tietriangles also shrink. The distance between the critical end points (see Fig. 5) and the size of the tietriangles depend on the distance from the tricritical point. These dependencies also are described scaling theory equations, as are physical properties such as iuterfacial... [Pg.152]

The behavior of at large distances is physically reasonable at small distances, on the other hand, Eq. (30) indicates a logarithmic divergence. The infinity at the origin is not in itself cause for alarm, for the original equations are known to be inadequate at small r. The problem here is that the scale of r as determined by K and Eq. (30) indicates that for any r the correlation will become infinite as k vanishes, that is at the critical point. Certainly Eq. (28) rather than (24) must be used for two-dimensional... [Pg.188]

In Euclidean cZ-dimensional spaces Flory exponent depends only on d. A good (although not exact) estimation was given by Flory formula, Eq. (9) [7, 8], It is well known [47] that the critical phenomena depend by the decisive mode on various ftactal characteristics of basic stmcture. It becomes obvious, that excepting the ftactal (Hausdorflf) dimension Dj. physical phenomena on ft actals depend on many other dimensions, including skeleton fractal dimension [48], dimension of minimum (or chemical) distance [29] and so on. It also becomes clear, that regular random walks on fractals have anomalous fractal dimension [49] and that the vibrational excitations spectrum is characterized by spectral (fiac-ton) dimension d=2D d [41, 50],... [Pg.16]

The coarse graining procedure used earlier results in the smoothing of physical variables as one proceeds from the atomic domain to Kadanoff block structures. The denumeration of discrete lattice sites are then replaced by the continuum distance variable r, whereby physical properties such as the order parameter are sensibly expected to become functions of r. Close to criticality, the system contains islands of correlated spins of average extension A given by the correlation length f(7), within which one encounters a magnetization... [Pg.402]


See other pages where Physical Distances Become Critical is mentioned: [Pg.60]    [Pg.45]    [Pg.45]    [Pg.60]    [Pg.45]    [Pg.45]    [Pg.735]    [Pg.484]    [Pg.39]    [Pg.172]    [Pg.292]    [Pg.181]    [Pg.127]    [Pg.170]    [Pg.58]    [Pg.39]    [Pg.98]    [Pg.474]    [Pg.210]    [Pg.19]    [Pg.19]    [Pg.18]    [Pg.2]    [Pg.63]    [Pg.314]    [Pg.38]    [Pg.99]    [Pg.168]    [Pg.204]    [Pg.159]    [Pg.314]   


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