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Matrix blocks

Since S is a symmetric matrix equal to Q(0), these equalities show that the off-diagonal blocks must vanish at x = 0, and hence that there is no instantaneous coupling between variables of opposite parity. The symmetry or asymmetry of the block matrices in the grouped representation is a convenient way of visualizing the parity results that follow. [Pg.12]

A Model for the Growth of Building Block Matrices and a Nanostructuring Strategy 151... [Pg.151]

Figure 4.12 V SS NMR (MAS) for three atomically dispersed vanadyl containing Si8O20-building block matrices, (a) Embedded (3-connected) vanadyl (b) mainly 2-connected vanadyl (c) surface (1-connected) vanadyl moieties. Figure 4.12 V SS NMR (MAS) for three atomically dispersed vanadyl containing Si8O20-building block matrices, (a) Embedded (3-connected) vanadyl (b) mainly 2-connected vanadyl (c) surface (1-connected) vanadyl moieties.
Figure 4.13 Vanadium EXAFS for (a) surface and (b) embedded vanadyl centers in SigO20-building block matrices. Figure 4.13 Vanadium EXAFS for (a) surface and (b) embedded vanadyl centers in SigO20-building block matrices.
Also of interest is the observation that lower connectivities for titanium in these building block matrices lead to a significant reduction in epoxidation TONs. This observation leads to a preliminary conclusion that 4-connected titanium centers are the most active epoxidation catalysts that we have produced. Currently, we are preparing Ti-bb samples, with rigorously defined 2- and 3-connectivities to better define the activities, as well as other Hterature catalysts for comparison. [Pg.160]

We next present a relationship between the inverses of the projected tensors S and T within the soft and hard subspaces, respectively. By requiring that the matrix product of the block matrices (A.l) and (A.2) yield the identity tensor, it is straightforward to show that the elements of the matrix... [Pg.172]

These four formulas need nonsingular block matrices Vb(0), obtainable by proper choice of response variables for each block. GREGPLUS uses subroutines from LINPACK (Dongarra et ah, 1979) to choose the working... [Pg.145]

The quadruple summation in Eq. (7.2-12) comes from the -derivatives of the inverse block matrices In our experience, the minimization of S goes best with this contribution suppressed until S is near a local minimum. Finally, the needed derivatives of the elements of Vb(0) are... [Pg.151]

Suppose that v 6) is block-diagonal and that E is unknown (though its relevant elements will form a block-diagonal array, as in Table 7.2b). Suppose that Y yields sample estimates v b with Vbe degrees of freedom for the experimental error contributions to one or more of the residual block matrices Vb 0j)- Then the posterior probabilities based on the combined data take the form... [Pg.158]

For Cantor chains, the dynamical matrix is a block-diagonal matrix, where the block matrices are taken with multiplicity 2 from the set of matrices of type ... [Pg.46]

A comparison with the dynamic matrix in equation (4) shows an intimate link. While Cantor chains are described by block matrices of identical dimensionalities but varying masses and coupling strengths, degenerate Cantorlayered chains are described by block matrices of identical masses and couplings but different dimensionalities. [Pg.47]

When the scores, weights, and loadings have been determined for a latent variable (at convergence), X- and Y-block matrices are adjusted to exclude the variation explained by that latent variable. Equations 4.20 and 4.21 illustrate the computation of the residuals after the first latent variable and weights have been determined ... [Pg.81]

Thus, Uai and Ubi are the eigenvectors associated with the largest eigenvalues of SabS I ab and S f abSab respectively. If we now pass to the pair of atoms A C, we can apply the same treatment to the S ac block matrices, so that we have a new pair of equations defining Ua2 and Uci and so on. .. This process has be repeated for each atom, giving a number of conditions depending on its number of valence orbitals and next-neighbours (here, four). [Pg.11]

The hybridization procedure described in Section 2.2.1 is fulfilled by a sequence of block transformations starting with overlap matrices Sab generated, for convenience, by minimal sets of s and p orbitals. This particularity, however, does not create serious difficulties for possible extensions to more general basis sets. The 4x4 dimensions of the block matrices originally considered have to be only increased in conformity with the size of the bases in question. [Pg.17]

The addition of five d orbitals to an s and p set, either as extra orbitals in the second period (the third row) from silicium to chlorine, or as valence orbitals for transition metal complexes is taking into account straightforwardly by raising the dimensions of the block matrices up to nine [60]. However, mixing the d functions added to the valence orbitals of non-metals, for instance sulphur, or keeping them in their primitive form, has not a great importance, because they play just a role of polarization functions in molecular structure calculations using hybridization [61]. [Pg.17]

The second method involves storing the zero blocks but trivial changes to the coding all that is necessary is to teach the diagonfJisation program (eigen) to recognise blocked matrices. [Pg.188]

The solution of the matrix HF equations can be facilitated by the use of a basis of symmetry-orbitals obtained from the basis functions by the projection operators of the point group. When symmetry-orbitals are used the degrees of freedom available to the variation principle are exposed as the number of different orbitals of each symmetry type. The matrix which defines the symmetry orbitals can be combined with the orthogonalisation matrix in the SCF procedure so that, once formed, this transformation adds nothing to the implementation of the process. Techniques and codes for the diagonalisation of blocked matrices have already been met in Appendix 12.B. [Pg.250]

The same equation expressed in the form of block matrices that correspond to each lattice cell of the system, takes the form... [Pg.246]

For complex Hermitian matrices, the factorizations LDL and GG are replaced by LDL and LL, respectively. The factorizations of A presented can be generally extended to the case where A is a block matrix, provided that the given and the computed block matrices can be inverted as required. For instance, let A be a 2 x 2 block-matrix. [Pg.186]

In this equation the matrices B and A represent the block matrices of (7), while the vector w contains all state-space variables at time t . In practice the spectral analysis is carried out using the mode shapes of the undamped equation of motion together with the non-dimensional modal amplitude vector w =[u,hvY. The time step h and the angular modal frequency co are combined into the non-dimensional frequency parameter = hco. When the first equation in (7) is multiplied by h the matrices B and A can be represented in non-dimensional form as... [Pg.60]

In the BSS approach, the free-particle Foldy-Wouthuysen transformation in addition to the orthonormal transformation K is applied to obtain the four-component Hamiltonian matrix to be diagonalized. The free-particle Foldy-Wouthuysen transformation Uq is composed of four diagonal block matrices. [Pg.542]

The flow and transposition matrix are now block matrices with the system flow and transposition matrices as blocks in the appropriate places. All vectors are stacks of die respective system vector versions. To complete the representation, we add two more equations, namely... [Pg.877]


See other pages where Matrix blocks is mentioned: [Pg.143]    [Pg.207]    [Pg.13]    [Pg.249]    [Pg.150]    [Pg.154]    [Pg.114]    [Pg.179]    [Pg.9]    [Pg.111]    [Pg.207]    [Pg.57]    [Pg.517]    [Pg.519]    [Pg.18]    [Pg.34]    [Pg.280]    [Pg.21]    [Pg.336]    [Pg.260]    [Pg.238]    [Pg.350]    [Pg.115]   
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