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Fourier Derivative Theorem

The last relation in equation (Al.6.107) follows from the Fourier convolution theorem and tlie property of the Fourier transfonn of a derivative we have also assumed that E(a) = (-w). The absorption spectmm is defined as the total energy absorbed at frequency to, nonnalized by the energy of the incident field at that frequency. Identifying the integrand on the right-hand side of equation (Al.6.107) with the total energy absorbed at frequency oi, we have... [Pg.258]

We are now ready to derive an expression for the intensity pattern observed with the Young s interferometer. The correlation term is replaced by the complex coherence factor transported to the interferometer from the source, and which contains the baseline B = xi — X2. Exactly this term quantifies the contrast of the interference fringes. Upon closer inspection it becomes apparent that the complex coherence factor contains the two-dimensional Fourier transform of the apparent source distribution I(1 ) taken at a spatial frequency s = B/A (with units line pairs per radian ). The notion that the fringe contrast in an interferometer is determined by the Fourier transform of the source intensity distribution is the essence of the theorem of van Cittert - Zemike. [Pg.281]

From the definition of Fourier transform the derivative theorem... [Pg.41]

In order to derive this equation, the correlation function in real space is considered, and the Fourier breadth theorem is employed (Sect. 2.7.5, p. 24). is the... [Pg.130]

The derivation of the electrostatic properties from the multipole coefficients given below follows the method of Su and Coppens (1992). It employs the Fourier convolution theorem used by Epstein and Swanton (1982) to evaluate the electric field gradient at the atomic nuclei. A direct-space method based on the Laplace expansion of 1/ RP — r has been described by Bentley (1981). [Pg.176]

As with the continuous Fourier transform, we could treat the equations of the discrete Fourier transform (DFT) completely independently, derive all the required theorems for them, and work entirely within this closed system. However, because the data from which the discrete samples are taken are usually continuous, some discussion of sampling error is warranted. Further, the DFT is inherently periodic, and the limitations and possible error associated with a periodic function should be discussed. [Pg.271]

The derivation of quadratic response proceeds analogous to the linear response case. Thus, we collect second-order terms from the BCH expansion of the Ehrenfest theorem as given in Eq. (74) and Fourier transform the resulting expression. In matrix form, this leads to... [Pg.124]

According to the correlation theorem (Press et ah, 1987, p. 383), the inverse Fourier transform of the product of spectrum of one function and the complex conjugate spectrum of another function is equal to correlation of these functions. Therefore, we can write the numerator in formula (15.38) as a cross correlation of the time derivatives of the back-propagated scattered field and the incident wavefield ... [Pg.474]

In order to obtain the eigenfunctions of H y we have to apply the transformation operator U (Eq. (14)) to according to Eq. (13). This is a nontrivial task. The operator exp(ijSpiPy) acts on a function of the coordinates x and y and the result cannot be derived directly. It is very simple, though, to get the result if the operator acts on a function in momentum space. For the determination of the wave function we, therefore, proceed as follows. First we take the Fourier transform of the eigenfunction of H3. As a next step we apply the operator exp(ij8pjPy) which is in momentum space a simple multiplication. Next we take the inverse Fourier transform of the result in order to obtain the function / , j(x, y) in the coordinate space of H y. In the latter step we use the convolution theorem [13] for Fourier transforms. Subsequently applying the... [Pg.35]

The Fourier theorem states that any periodic function may be resolved into cosine and sine terms involving known constants. Since a crystal has a periodically repeating internal structure, this can be represented, in a mathematically useful way, by a three-dimensional Fourier series, to give a three-dimensional Fourier or electron density map. In X-ray diffraction studies the magnitudes of the coefficients may be derived from... [Pg.221]

The basic question for all practical considerations is that of the relation between Ns and Nf. If we know this relation, we can predict Wy from the experimental quantity Ng, In order to derive such a relation, we use Parseval s theorem in the theory of Fourier transforms this reads in our context... [Pg.155]

Usual crystal orbitals extend all over the system concerned and are obtained so as to fulfill the Bloch theorem (Bloch, 1928). However, it is known to be rather useful to convert the wave function of the system into the localized function for the purpose of the discussion of the local nature of the system, such as the exciton. One such function is the Wannier function ap derived by the Fourier transformation of the crystal orbital... [Pg.256]

According to the Wiener-Khinchine theorem, the power spectrum of a fluctuating quantity is given by the (time) Fourier transform of the autocorrelation function. So for the bending mode one derives from (7.4), for... [Pg.379]

The shift theorem states that if the function f(t) has the Fourier transform F(w), then the function f(t-a) has the transform F(uj) exp(-iu)a). Its derivation is also quite simple. We go through it here for illustration. [Pg.48]

A function that is compact in momentum space is equivalent to the band-limited Fourier transform of the function. Confinement of such a function to a finite volume in phase space is equivalent to a band-limited function with finite support. (The support of a function is the set for which the function is nonzero.) The accuracy of a representation of this function is assured by the Whittaker-Kotel nikov-Shannon sampling theorem (29-31). It states that a band-limited function with finite support is fully specified, if the functional values are given by a discrete, sufficiently dense set of equally spaced sampling points. The number of points is determined by Eq. (26). This implies that a value of the function at an intermediate point can be interpolated with any desired accuracy. This theorem also implies a faithful representation of the nth derivative of the function inside the interval of support. In other words, a finite set of well-chosen points yields arbitrary accuracy. [Pg.195]

APPENDIX C Derivation of the Fourier-Mellin Inversion Theorem written for the problem at hand as... [Pg.664]

Proof of the Floquet theorem Readers not familiar with the Floquet theorem are recommended to refer to textbooks on ordinary differential equations such as Ref. [168], where one would find a formal proof of the theorem different from the following discussions. Here we try to derive an intuitive but physically appealing explanation of the Floquet theorem based on Fourier analysis. We start with the Fourier transformation of the time dependent Schrodinger equation (8.1), ... [Pg.350]


See other pages where Fourier Derivative Theorem is mentioned: [Pg.41]    [Pg.25]    [Pg.252]    [Pg.142]    [Pg.8]    [Pg.274]    [Pg.119]    [Pg.101]    [Pg.325]    [Pg.507]    [Pg.327]    [Pg.493]    [Pg.337]    [Pg.17]    [Pg.405]    [Pg.199]    [Pg.331]    [Pg.663]    [Pg.665]    [Pg.669]    [Pg.63]    [Pg.617]    [Pg.368]   
See also in sourсe #XX -- [ Pg.23 ]

See also in sourсe #XX -- [ Pg.23 ]




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Fourier theorem

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