Phase distribution function

The above stochastic collision model then leads to a generalization, Eq. (253), of the Fokker-Planck equation for the evolution of the phase distribution function for mechanical particles, where the velocities acquire a fractional character [30], rather than both the displacements and the velocities as in Eq. (235). In the present context, all these comments apply, of course, to rotational Brownian motion. 

The phase distribution function (143) allows for calculations of the phase variances for the individual modes as well as the phase correlations between the two modes by performing simple integrations over the phase variables Qa and 0/,. Detailed discussion of the phase properties of the fields can be found in Ref. 16, and we will not repeat it here. The material presented in this section has been chosen as to illustrate how quantum noise, which is an indispensable ingredient of quantum description of optical fields, can be incorporated into the theory of nonlinear optical phenomena, in particular the phenomenon of second-harmonic generation. 

Small angle X-ray scattering (SAXS) experiments give information about the radius of a scattering superstructure. The boundary phase distribution function (BPDF), which can be calculated from the scattering curve [57], gives information about the size of the amorphous and crystalline regions. 

Figure 9.16 Boundary phase distribution function (BPDF) [125]. Small angle X-ray diffraction (SAXS) was recorded with a Kratky camera at the same wavelength as the WAXS experiments. For further explanation see text.

Typical shapes of the orientation distribution function are shown in figure C2.2.10. In a liquid crystal phase, the more highly oriented the phase, the moreyp tends to be sharjDly peaked near p=0. However, in the isotropic phase, a molecule has an equal probability of taking on any orientation and then/P is constant. 

Figure C2.2.10. Orientational distribution functions for (a) a highly oriented liquid crystal phase, (b) a less well...

This can be inserted in equation (02.2.3) to give tlie orientational distribution function, and tlius into equation (02.2.6) to deteniiine the orientational order parameters. These are deteniiined self-consistently by variation of tlie interaction strength iin equation (c2.2.7). As pointed out by de Gemies and Frost [20] it is possible to obtain tlie Maier-Saupe potential from a simple variational, maximum entropy metliod based on tlie lowest-order anisotropic distribution function consistent witli a nematic phase. 

The radial distribution function can also be used to monitor the progress of the equilibration. This function is particularly useful for detecting the presence of two phases. Such a situation is characterised by a larger than expected first peak and by the fact that g r) does not decay towards a value of 1 at long distances. If two-phase behaviour is inappropriate then the simulation should probably be terminated and examined. If, however, a two-phase system is desired, then a long equilibration phase is usually required. 

In order to compute average properties from a microscopic description of a real system, one must evaluate integrals over phase space. For an A -particle system in an ensemble with distribution function P( ), the experimental value of a property A( ) may be calculated from... 

Fig. 2. Schematic representation of the orientational distribution function f 6) for three classes of condensed media that are composed of elongated molecules A, soHd phase, where /(0) is highly peaked about an angle (here, 0 = 0°) which is restricted by the lattice B, isotropic fluid, where aU. orientations are equally probable and C, Hquid crystal, where orientational order of the soHd has not melted completely.

In some Hquid crystal phases with the positional order just described, there is additional positional order in the two directions parallel to the planes. A snapshot of the molecules at any one time reveals that the molecular centers have a higher density around points which form a two-dimensional lattice, and that these positions are the same from layer to layer. The symmetry of this lattice can be either triangular or rectangular, and again a positional distribution function, can be defined. This function can be expanded in a two-dimensional Fourier series, with the coefficients in front of the two... 

To obtain thermodynamic averages over a canonical ensemble, which is characterized by the macroscopic variables (N, V, T), it is necessary to know the probability of finding the system at each and every point (= state) in phase space. This probability distribution, p(r, p), is given by the Boltzmann distribution function. 

Second-Order Integral Equations for Associating Fluids As mentioned above in Sec. II A, the second-order theory consists of simultaneous evaluation of the one-particle (density profile) and two-particle distribution functions. Consequently, the theory yields a much more detailed description of the interfacial phenomena. In the case of confined simple fluids, the PY2 and HNC2 approaches are able to describe surface phase transitions, such as wetting and layering transitions, in particular see, e.g.. Ref. 84. 

The Boltzman probability distribution function P may be written either in a discrete energy representation or in a continuous phase space formulation. 

Where, /(k) is the sum over N back-scattering atoms i, where fi is the scattering amplitude term characteristic of the atom, cT is the Debye-Waller factor associated with the vibration of the atoms, r is the distance from the absorbing atom, X is the mean free path of the photoelectron, and is the phase shift of the spherical wave as it scatters from the back-scattering atoms. By talcing the Fourier transform of the amplitude of the fine structure (that is, X( )> real-space radial distribution function of the back-scattering atoms around the absorbing atom is produced. 

The phase diagrams of the 2D binary alloys are shown in Fig.5. In Fig.6, we show the point distribution functions f and fg of the binary alloys. The dashed curve in Fig.5 shows the phase separation determined by the conventional CVM with the pair approximation The parameter is taken such that 4e = 2e g - ( aa bb)- The solid curve is calculated using the present continuous CVM, with the... 

In conclusion, we have presented a new formulation of the CVM which allows continuous atomic displacement from lattice point and applied the scheme to the calculations of the phase diagrams of binary alloy systems. For treating 3D systems, the memory space can be reduced by storing only point distribution function f(r), but not the pair distribution function g(r,r ). Therefore, continuous CVM scheme can be applicable for the calculations of phase diagrams of 3D alloy systems [6,7], with the use of the standard type of computers. 

To be more precise, let us assume, as Boltzman first did in 1872 [boltz72], that we have N perfectly elastic billiard balls, or hard-spheres, inside a volume V, and that a complete statistical description of our system (be it a gas or fluid) at, or near, its equilibrium state is contained in the one-particle phase-space distribution function f x,v,t) ... 

In general, the distribution function changes in time because of the underlying motion of the hard-spheres. Consider first the nonphysical case where there are no collisions. Phase-space conservation, or Louiville s Theorem [bal75], assures us that... 

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