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Orthogonal transformation

The hybridization scheme in valence bond theory is a very useful concept for chemists since it permits a localized view of the bonding. The most general method for generating hybridized orbitals is based on defining a bond wavefunction (a linear combination of atomic orbitals) in a specific bond direction (usually the z-axis direction). Then the second and subsequent hybrids are obtained by a rotation transformation. Orthogonality conditions are then used to evaluate the hybrid coefficients. These bond wavefunctions are defined as equivalent because they differ from one another only by a rotation. Generally, the first bond wavefunction is... [Pg.74]

Fourier transformation orthogonal circular polarization holographic optical data storage... [Pg.168]

Discrete analog of wavelet transform (orthogonal wavelet basis functions by dilating and translating in discrete steps Pressure fluctuation Signal denoising Roy et al. (1999)... [Pg.681]

It is important to note that the two surface calculations will be carried out in the diabatic representation. One can get the initial diabatic wave function matrix for the two surface calculations using the above adiabatic initial wave function by the following orthogonal transformation,... [Pg.47]

U(qJ is referred to as an adiabatic-to-diabatic transformation (ADT) matrix. Its mathematical sbucture is discussed in detail in Section in.C. If the electronic wave functions in the adiabatic and diabatic representations are chosen to be real, as is normally the case, U(q ) is orthogonal and therefore has n n — l)/2 independent elements (or degrees of freedom). This transformation mabix U(qO can be chosen so as to yield a diabatic electronic basis set with desired properties, which can then be used to derive the diabatic nuclear motion Schrodinger equation. By using Eqs. (27) and (28) and the orthonormality of the diabatic and adiabatic electronic basis sets, we can relate the adiabatic and diabatic nuclear wave functions through the same n-dimensional unitary transformation matrix U(qx) according to... [Pg.189]

Appendix A The Jahn-Teller Model and the Longuet-Higgins Phase Appendix B The Sufficient Conditions for Having an Analytic Adiabatic-to-Diabatic Transformation Matrix I. Orthogonality II. Analyticity... [Pg.635]

We consider a 2D diabatic framework that is characterized by an angle, P(i), associated with the orthogonal transformation that diagonalizes the diabatic potential matrix. Thus, if V is the diabatic potential matrix and if u is the adiabatic one, the two are related by the orthogonal transformation matrix A [34] ... [Pg.699]

The standard analytic procedure involves calculating the orthogonal transformation matrix T that diagonalizes the mass weighted Hessian approximation H = M 2HM 2, namely... [Pg.247]

In the Lowdin approach to population analysis [Ldwdin 1970 Cusachs and Politzer 1968] the atomic orbitals are transformed to an orthogonal set, along with the molecular orbital coefficients. The transformed orbitals in the orthogonal set are given by ... [Pg.100]

Tie first consideration is that the total wavefunction and the molecular properties calculated rom it should be the same when a transformed basis set is used. We have already encoun-ered this requirement in our discussion of the transformation of the Roothaan-Hall quations to an orthogonal set. To reiterate suppose a molecular orbital is written as a inear combination of atomic orbitals ... [Pg.108]

If the tr ansformation matr ix is orthogonal, then the tr ansformation is orthogonal. If the elements of A are numbers (as distinct from functions), the transformation is linear. One important characteristic of an orthogonal matrix is that none of its columns is linearly dependent on any other column. If the transfomiation matrix is orthogonal, A exists and is equal to the transpose of A. Because A = A ... [Pg.41]

Orthogonal transformations preserve the lengths of vectors. If the same orthogonal transformation is applied to two vectors, the angle between them is preserved as well. Because of these restrictions, we can think of orthogonal transfomiations as rotations in a plane (although the formal definition is a little more complicated). [Pg.41]

Given the modified Huekel matrix and the orthogonal transform in Exereise 7-1, earry/ out the multiplieation... [Pg.229]

Using the orthogonality of eharaeters taken as veetors we ean reduee the above set of eharaeters to Ai + E. Henee, we say that our orbital set of three Ish orbitals forms a redueible representation eonsisting of the sum of and E IR s. This means that the three 1 sh orbitals ean be eombined to yield one orbital of Ai symmetry and a pair that transform aeeording to the E representation. [Pg.592]

The Lowdin population analysis scheme was created to circumvent some of the unreasonable orbital populations predicted by the Mulliken scheme, which it does. It is different in that the atomic orbitals are first transformed into an orthogonal set, and the molecular orbital coefficients are transformed to give the representation of the wave function in this new basis. This is less often used since it requires more computational work to complete the orthogonalization and has been incorporated into fewer software packages. The results are still basis-set-dependent. [Pg.100]

Computations done in imaginary time can yield an excited-state energy by a transformation of the energy decay curve. If an accurate description of the ground state is already available, an excited-state description can be obtained by forcing the wave function to be orthogonal to the ground-state wave function. [Pg.219]

Other methods can be used in space, such as the finite element method, the orthogonal collocation method, or the method of orthogonal collocation on finite elements (see Ref. 106). Spectral methods employ Chebyshev polynomials and the Fast Fourier Transform and are quite useful for nyperbohc or parabohc problems on rec tangular domains (Ref. 125). [Pg.480]

As F is a symmetric matrix, there exists an orthogonal transformation that diagonalizes F ... [Pg.154]

The ac resistance increase due to skin effect given above should be considered as a minimum. When wires are placed next to one another and placed in layers within a transformer, the near field magnetic effects between wires further crowd the current density into even smaller areas within the wire s cross-section. For instance, when wires are wound next to one another, the current is pushed away from the points of contact along the surfaces of the wires to areas orthogonal to the winding plane. When layers are placed on top of one another the inner layers show much greater degradation in apparent resistance than do the outermost layers. [Pg.253]

Obviously, the theory outhned above can be applied to two- and three-dimensional systems. In the case of a two-dimensional system the Fourier transforms of the two-particle function coefficients are carried out by using an algorithm, developed by Lado [85], that preserves orthogonality. A monolayer of adsorbed colloidal particles, having a continuous distribution of diameters, has been investigated by Lado. Specific calculations have been carried out for the system with the Schulz distribution [86]... [Pg.156]

The X matrix contains the parameters describing the unitary transformation of the M orbitals, being of the size of M x M. The orthogonality is incorporated by requiring that the X matrix is antisymmetric, = —x , i.e. [Pg.69]

Normally the orbitals are real, and the unitary transformation becomes an orthogonal transformation. In the case of only two orbitals, the X matrix contains the rotation angle a, and the U matrix describes a 2 by 2 rotation. The connection between X and U is illustrated in Chapter 13 (Figure 13.2) and involves diagonalization of X (to give eigenvalues of ia), exponentiation (to give complex exponentials which may be witten as cos a i sin a), follow by backtransformation. [Pg.69]

A linear coordinate transformation may be illustrated by a simple two-dimensional example. The new coordinate system is defined in term of the old by means of a rotation matrix, U. In the general case the U matrix is unitary (complex elements), although for most applications it may be chosen to be orthogonal (real elements). This means that the matrix inverse is given by transposing the complex conjugate, or in the... [Pg.310]


See other pages where Orthogonal transformation is mentioned: [Pg.8]    [Pg.118]    [Pg.106]    [Pg.168]    [Pg.217]    [Pg.55]    [Pg.8]    [Pg.118]    [Pg.106]    [Pg.168]    [Pg.217]    [Pg.55]    [Pg.687]    [Pg.47]    [Pg.100]    [Pg.238]    [Pg.771]    [Pg.80]    [Pg.192]    [Pg.206]    [Pg.9]    [Pg.632]    [Pg.101]    [Pg.75]    [Pg.178]    [Pg.477]    [Pg.282]    [Pg.110]    [Pg.202]   
See also in sourсe #XX -- [ Pg.22 , Pg.150 ]




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Orthogonal transformation and two-state problem

Orthogonal transformation component analysis

Orthogonal transformation matrix

Orthogonal transformation, definition

Orthogonal transformations spectroscopy

Orthogonality of the Fourier Transform Kernel

Orthogonality transformation

Orthogonality transformation

Orthogonality transforms

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