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Finite-basis form

It is easily verified that if W in (2.4.1) is taken to be a linear variation function of the form Cisecular equation (2.3.4) in the truncated form corresponding to an n-term expansion. In other words, best approximate solutions at any level may be obtained by seeking stationary values of the corresponding energy functional. Thus the finite-basis form of (2.4.1) is... [Pg.41]

For present purposes it is more useful to concentrate on other approaches, which start from the finite-basis form of the linear variation method. In many forms of variation-perturbation theory, exact unperturbed eigenfunctions are not required and the partitioning of the Hamiltonian into two terms is secondary to a partitioning of the basis. At the same time, as we shall see, it is possible to retrieve the equations of conventional perturbation theory by making an appropriate choice of basis. [Pg.46]

The separate sums, which are simply the finite-basis forms of those in (6.8.3) and (6.8.4), are not individually invariant and consequently when the first is a maximum the second is a minimum. [Pg.202]

Establish the open-shell energy expression (6.5.2) directly from Slater s rules and, by putting in finite-basis forms of the orbitals (cf. (6.2.1)), derive the matrix forms (6.5.3) et seq. [Pg.208]

It remains only to devise suitable methods of solving the MC SCF equations in one or other of the forms discussed above. We may distinguish three main families of methods (a) those that aim to satisfy the operator equations (8.2.8) (or the equivalent condition (8.2.31)), normally in a finite-basis form such as (8.2.12) (b) those that minimize the energy directly by using steepest descent or more general gradient techniques and (c) those that aim to satisfy the condition (8.2.38), which are usually described as Brillouin-condition methods. Many special techniques are available within each category the examples in the next three sections illustrate these main approaches. [Pg.263]

Since the operator equations (8.2.8) are intractible, as they stand, we turn at once to finite-basis forms. There are two common choices of basis the n occupied orbitals may be expressed directly in terms of a completely arbitrary set Xr of m functions (e.g. AOs) or in terms of, say, first approximations to the [Pg.263]

In the finite-basis form the integrals are calculated once... [Pg.264]

In this section we indicate a simple quadratic procedure, starting from the finite-basis form (8.2.15) of the energy functional, in which the occupied orbitals are written explicitly as combinations (8.2.11) of the basis functions x, in order to maintain contact with the equations of the last section. Again we use the full T matrix (8.3.1), filling up the matrices T and Z in (8.2.15) with zeros as necessary, and consider a variation of the form (8.3.3) with V now in the explicit form (8.2.24). [Pg.268]

The above TDHF equations are linear, like those in Section 11.9, because we work only to first order in the parameter displacements (from their unperturbed SCF values). Again, however, there are some advantages in an alternative formulation, more obviously related to the usual finite-basis form of HF theory, in which solutions are obtained by an iterative procedure akin to that used in the stationary-state SCF... [Pg.437]

To obtain the finite-basis form of (12.6.7), the same argument may be followed in matrix form. With the basis-set expansion... [Pg.439]

When the wave function is completely general and pennitted to vary in the entire Hilbert space the TDVP yields the time-dependent Schrodinger equation. However, when the possible wave function variations are in some way constrained, such as is the case for a wave function restricted to a particular functional form and represented in a finite basis, then the corresponding action generates a set of equations that approximate the time-dependent Schrodinger equation. [Pg.224]

In developing perturbation theory it was assumed that the solutions to the unpermrbed problem formed a complete set. This is general means that there must be an infinite number of functions, which is impossible in actual calculations. The lowest energy solution to the unperturbed problem is the HF wave function, additional higher energy solutions are excited Slater determinants, analogously to the Cl method. When a finite basis set is employed it is only possible to generate a finite number of excited determinants. The expansion of the many-electron wave function is therefore truncated. [Pg.127]

As discussed in (4), the K-matrix has a pole at energies near a resonance and this yields a convenient method for the analysis of the narrow autoionizing states. The matrix representation of equation [2] upon a finite basis may be in fact recast in the form (4)... [Pg.370]

The matrix form for (5) expressed in a finite basis set is easily shown to be... [Pg.269]

BSSE arises from the intrinsic problem that finite basis sets do not describe the monomer and complex forms equally well. For instance, the energy of two monomers calculated in the full dimer basis is not the same as for the dimer. A simple evaluation of the interaction energy (AE) of the two fragments [Equation (1)] is incorrect. This problem is especially serious with small basis sets. Hence, the magnitude of the BSSE can be used as a measure of the basis set incompleteness. [Pg.129]

In what follows, the number N of particles is assumed to be a constant. The one-electron basis is assumed to be finite and formed by 2JC orthonormal spin orbitals denoted by the italic letters i,j, k,l... or, when the spin is considered explicitly by ia or. ... [Pg.123]

Let us calculate, for future reference, the dimension of the complex vector space of homogeneous polynomials (with complex coefficients) of degree n on various Euclidean spaces. Homogeneous polynomials of degree n on the real line R are particularly simple. This complex vector space is onedimensional for each n. In fact, every element has the form ex for some c e C. In other words, the one-element set x" is a finite basis for the homogeneous polynomials of degree n on the real line. [Pg.47]

Proposition 3.2 Suppose V is a finite-dimensional complex scalar product space. Suppose T V —> V is a linear operator. Then T is unitary if and only if the columns of its matrix in any unitary basis form a unitary basis. [Pg.88]

In order to have theoretical relationships with which experimental data can be compared for analysis it is necessary to obtain solutions to the partial differential equations describing the diffusion-kinetic behaviour of the electrode process. Only a very brief account f the theoretical methods is given here and this is done merely to provide a basis for an appreciation of the problems involved and to point out where detailed treatments can be found. A very lucid introduction to the theoretical methods of dealing with transient electrochemical response has appeared (MacDonald, 1977) which is highly recommended in addition to the classic detailed treatment (Delahay, 1954). Analytical solutions of the partial differential equations are possible only in the most simple cases. In more complex cases either numerical methods are used to solve the equations or they are transformed into finite difference forms and solved by digital simulation. [Pg.143]

The error for negative ions is due to the wrong asymptotic form of the LSD potential. An LSD electron far from a neutral atom still sees itself and the extra repulsion leads to instability. Reasonable estimates of electron affinities can be obtained by preventing the electron from entering this poorly described asymptotic region, either by imposing a potential barrier or through the use of a finite basis-set expansion with no very diffuse functions . [Pg.459]

We shall set N be the dimension of the finite basis subset used to represent f and v. The calculation can be performed with great efficiency using an iterative algorithm, such as the Lanczos algorithm, that transforms r into a tridiagonalized form. A continued fraction expansion is then obtained ... [Pg.118]

Numerical Solution. In the numerical formulation of THCC, Equations (2) and (3) are substituted into Equation (1). The resulting set of Nf, partial differential equations is transcribed into Nb finite-difference equations, using central differencing in space and the Crank-Nicolson method to obtain second-order accuracy in time. The set of unknowns consists of i = 1,..., ATft, and Pjt, k = 1,..., A/p, at each finite-difference node. Residue equations for the basis species are formed by algebraically summing all terms in the finite-difference forms of the transport equations. The finite-difference analogs of Equation (1) provide Ni, residue equations at each node the remaining Np residue equations are provided by the solubility products for the reactive solids. [Pg.236]

On the other hand, it should be pointed out that the relativistic current density can be recast in a form similar to that of the non-relativistic one through the Gordon decomposition [61,38]. Also, the non-relativistic current density depends explicitly on the external vector potential, whereas the relativistic one appears not to. However, also for the relativistic current density an explicit dependence can be brought out by considering the modification of the coupling of large and small components induced by the external vector potential. Finite basis set calculations rely on the kinetic balance relation [62,63]... [Pg.362]

Finite Element Methods Applied to Many-body Perturbation Theory. - Over the past ten years, the finite element method, which is a classical tool in classical science and engineering applications, has been developed into a technique for the accurate solution of the atomic243 and molecular244,245 electronic structure problem. The piece-wise definition of the form functions employed in the finite element method prevents the computational linear dependencies which occur in the finite basis set expansion method and, moreover, leads to sparse, band structured matrices for which efficient solvers are available. [Pg.443]

To evaluate the multiple sums in the expressions above, we first do a reduction to sums of radial integrals and then use make use of finite basis sets to put the resulting expressions into a form suitable for numerical evaluation. [Pg.138]


See other pages where Finite-basis form is mentioned: [Pg.202]    [Pg.208]    [Pg.258]    [Pg.202]    [Pg.208]    [Pg.258]    [Pg.459]    [Pg.135]    [Pg.239]    [Pg.47]    [Pg.239]    [Pg.539]    [Pg.19]    [Pg.47]    [Pg.75]    [Pg.97]    [Pg.100]    [Pg.162]    [Pg.13]    [Pg.179]    [Pg.241]    [Pg.140]    [Pg.1002]    [Pg.239]    [Pg.177]    [Pg.499]    [Pg.18]    [Pg.235]   
See also in sourсe #XX -- [ Pg.166 , Pg.167 , Pg.168 ]




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Finite basis

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