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Explicit Transformation Functions

These theorems give explicit forms to the transformation functions relating configuration space to occupation number space. [Pg.453]

Now let us use the set, <0> to form a matrix representation of some operator Q at time hi assuming that Q is not explicitly a function of time. The expectation value of Q in the various states, changes in time only by virtue of the time-dependence of the state vectors used in the representation. However, because this dependence is equivalent to a unitary transformation, the matrix at time t is derived from the matrix at time t0 by such a unitary transformation, and we know that this cannot change the trace of the matrix. Thus if Q — WXR our result entails that it is not possible to change the ensemble average of R, which is just the trace of Q. [Pg.482]

In order to allow explicit transformation formulas to be derived, we give here the transformation matrices for common operations. These are shown operating on basis vectors we recall that functions transform cogrediently to basis vectors. Note that those vectors not shown are unchanged by the operation under consideration. Rotation through angle a about the principal axis ... [Pg.169]

As Chapter 3 describes, the basis functions for each irreducible representation are limited in number. Basis functions are polynomial functions with specific behaviour under symmetry operations. Thus, in Ih, the set x, y, z transforms as components of the Tm representation. It is useful to have explicit basis functions to display the properties of the representations. [Pg.22]

Figure 2.15. The schematic picture of the Lie transforms If W is free from the virtuar time t explicitly, the functional structure of W is preserved through the time evolution. Figure 2.15. The schematic picture of the Lie transforms If W is free from the virtuar time t explicitly, the functional structure of W is preserved through the time evolution.
It is essential to note that / and / are two different functions and not merely the same function depending on two different variables. For the sake of simplicity this distinction is not always reflected by the notation however, we will explicitly distinguish these two functions by the /-notation in this appendix. Furthermore, since all integrals in this appendix extend over the whole real line it is convenient to not explicitly write down the limits of integration, which has been done in the second step of Eq. (E.2). Given the transformed function / it is always possible to extract the original function / by a so-called Fourier back transformation (FBT) defined by... [Pg.653]

It appears that most of the (published) use of unequal intervals is with the explicit method - specifically, the box method. There is no (overt) transformation function but rather some formula for the width of a given box i. Thus Feldberg s function, Eq. 5.69, is actually a restatement of... [Pg.95]

This gradient of the smoothed potential is a simple function of the untransformed potential U(x). The form of the gradient is that of a three-point finite difference approximation to the derivative of the smoothed potential. Therefore, the smoothing is carried out implicitly while no explicit transformation of the potential function is required. This formula is exact and there is no limitation on the size of e. Therefore, the minimization method consists of following the protocol of the DEM using bad derivatives. Results for atomic clusters and small peptides indicate that the method is as effective as the DEM. More importantly, it is directly applicable to a much larger class of functions including the Boltzmann distribution. [Pg.2189]

Another view of this theme was our analysis of spectral densities. A comparison of LN spectral densities, as computed for BPTI and lysozyme from cosine Fourier transforms of the velocity autocorrelation functions, revealed excellent agreement between LN and the explicit Langevin trajectories (see Fig, 5 in [88]). Here we only compare the spectral densities for different 7 Fig. 8 shows that the Langevin patterns become closer to the Verlet densities (7 = 0) as 7 in the Langevin integrator (be it BBK or LN) is decreased. [Pg.255]

The Laplace transformation is based upon the Laplace integral which transforms a differential equation expressed in terms of time to an equation expressed in terms of a complex variable a + jco. The new equation may be manipulated algebraically to solve for the desired quantity as an explicit function of the complex variable. [Pg.48]

It can be shown that the right-hand side of Eq. (3-208) is the -dimensional characteristic function of a -dimensional distribution function, and that the -dimensional distribution function of afn, , s n approaches this distribution function. Under suitable additional hypothesis, it can also be shown that the joint probability density function of s , , sjn approaches the joint probability density function whose characteristic function is given by the right-hand side of Eq. (3-208). To preserve the analogy with the one-dimensional case, this distribution (density) function is called the -dimensional, zero mean gaussian distribution (density) function. The explicit form of this density function can be obtained by taking the i-dimensional Fourier transform of e HsA, with the result.45... [Pg.160]

The probability density function pY,fa ( m) is the m-dimensional Fourier transform of Eq. (3-259) but, once again, this can only be evaluated explicitly in certain special cases. [Pg.173]

So the first iteration transforms the trial wave functions expressed as linear combinations of gaussian functions into an expression which involves Dawson functions [62,63], We have not been able to find a tabular entry to perform explicitly the normalization of the first iterate, accordingly this is carried out numerically by the Gauss-Legendre method [64],... [Pg.151]

The next order of business is to derive the closed-loop transfer functions. For better readability, we ll write the Laplace transforms without the 5 dependence explicitly. Around the summing point, we observe that... [Pg.89]

When spin-orbit coupling is introduced the symmetry states in the double group CJ are found from the direct products of the orbital and spin components. Linear combinations of the C"V eigenfunctions are then taken which transform correctly in C when spin is explicitly included, and the space-spin combinations are formed according to Ballhausen (39) so as to be diagonal under the rotation operation Cf. For an odd-electron system the Kramers doublets transform as e ( /2)a, n =1, 3, 5,... whilst for even electron systems the degenerate levels transform as e na, n = 1, 2, 3,. For d1 systems the first term in H naturally vanishes and the orbital functions are at once invested with spin to construct the C functions. [Pg.54]


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