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INDEX subspace

Now we are ready to formulate the basic idea of the correction algorithm in order to correct the four-indexed operator f1, it is enough to correct the two-indexed operators fc and f 1 in the supermatrix representation (7.100). The real advantage of this proposal is its compatibility with any definite way of f2 and P7 correction [61, 294], The matrix inversion demanded in (7.99) is divided into two stages. In the fi, v subspace it is possible to find the inverse matrix analytically with the help of the Frobenius formula that is well known in matrix algebra [295]. The... [Pg.256]

One example of a structure (8) is the space of polynomials, where the ladder of subspaces corresponds to polynomials of increasing degree. As the index / of Sj increases, the subspaces become increasingly more complex where complexity is referred to the number of basis functions spanning each subspace. Since we seek the solution at the lowest index space, we express our bias toward simpler solutions. This is not, however, enough in guaranteeing smoothness for the approximating function. Additional restrictions will have to be imposed on the structure to accommodate better the notion of smoothness and that, in turn, depends on our ability to relate this intuitive requirement to mathematical descriptions. [Pg.175]

In the atomic case, the pwc s are defined by the ion level I and the / value of the electron partial wave, i.e. the formal pwc subsets span the tensor product of the ion level states times the one-electron /-wave manifold. In the following, the subspaces will be indexed with greek letters a subspace index a=/ ,/ will designate explicitly an open pwc subspace, while an index 0 an arbitrary subspace. The Ic subspace will be numbered 0 and Qp will denote the projector in the subspace 0. [Pg.368]

Therefore / > and aB> are orthogonal to all vectors of lower index. Furthermore (1 — J Pi)L0 is Hermitian in the subspace orthogonal... [Pg.46]

For a maximum of simplification we restrict ourselves to a crystal with two dipoles per unit cell and to two transitions, characterized by the transition dipoles d (a is the cell index, while / indicates the transition). Then, the determinant of (1.33), with the explicit matter variables, factorizes, in each subspace of momentum K, into determinants of order 4 ... [Pg.24]

We consider the subspace of radial states belonging to the angular-momentum index f, which we drop from the notation for the states. u r) is the coordinate representation of a state n). [Pg.86]

The electropy index may be viewed as a measure of the degree of freedom for electrons to occupy different subspaces during the process of molecular formation. [Pg.159]

Step 2a. Suppose the first i-1 principal components aj,...,aj [ and Sj,...,Sj j are available, the direction with the largest projection index Sj in the orthogonal complement space of the subspace spanned by the i-1 selected principal component directions, aj,...,aj j, should be selected as the ith principal component direction aj. [Pg.62]

The classical PCA is non-robust and sensitive to deviations of error distribution from the normal assumption, the PC directions being influenced by the presence of outlier(s). In PP PCA, the PC directions are determinated by the the inherent structure of the main body of the data. Using some robust projective index, the influence of the outliers is thus substantially reduced. The distorted appearance or misrepresentation of the projected data structure in the PC subspace caused by the presence of outlier(s) could be eliminated in PP PCA. This characteristic feature of PP PCA is essential for obtaining reliable results for exploratory data analysis, calibration and resolution in analytical chemometrics where PCA is used for dimension reduction. [Pg.71]

For either the spin up or the spin down element, the space can be constructed by the tensorial product between each eigenfunction (v r, i >2... i[r ) with an index 1 < i < n of electrons. Heisenberg was able to compute the electron permutation, Su, as a subspace of S, symmetric group of n elements, by... [Pg.79]

The set of all square integrable functions of the polar angles (9, fi) forms a Hilbert space. This space is spanned by the spherical harmonics Yim(9, 4) and can be decomposed into subspaces such that the Ith subspace is spanned by the (21 + 1) spherical harmonics of index /. [Pg.157]

The Wigner matrices multiply just like the rotations themselves. There is a one-to-one correspondence between the Wigner matrices of index l and the rotations R. These matrices form a representation of the rotation group. In fact, since the 2/ + 1 spherical harmonics of order / form an invariant subspace of Hilbert space with respect to all rotations, it follows that the matrices D ,m(R) form a (21 + 1) dimensional irreducible representation of the rotation R. Explicit formulas for these matrices can be found in books on angular momentum (notably Edmunds, 1957). [Pg.158]

For conceptual simplicity, we first generalize the preceding method to the more general ideal case that reproduces the exact values of the desired n eigenstates of the evolution operator G. As a byproduct, our discussion will produce an alternative to the derivation of Eq. (3.34). To compute n eigenvalues, we have to optimize the n basis states ,), where we have dropped the index T, and again we assume that we have a sample of M configurations Se, a = 1,..., M sampled from uj. The case we consider is ideal in the sense that we assume that these basis states uf> span an n-dimensional invariant subspace of G. In that case, by definition there exists a matrix A of order n such that... [Pg.89]

There is a close similarity between MEDA and correlation matrices. To this regard, equation (2) simplifies the interpretation of the MEDA procedure. The MEDA index combines the original variance with the model subspace variance in S and S a. Also, the denominator of the index in eq. (2) is the original variance. Thus, those pairs of variables where a high amount of the total variance of one of them can be recovered from the other are highlighted. This is convenient for data interpretation, since only factors of high variance are highlighted. On the other hand, it is easy to see that when the number of LVs, A, equals the rank of X, then is equal to the element-wise squared correlation matrix of X, (11). This can be observed... [Pg.73]

Formally, the propagation space of a variable X (f (i)) is the linear subspace of the index space defined by the set of equations... [Pg.99]

A set of dictionaries that define regions (subspaces of the index space), dependence vectors, and operations. [Pg.131]

The Ti dependence is here associated with the outer index of the intermediate. It means that this quantity can be easily obtained from the precomputed V y intermediate. As it was mentioned before, the yu indices belong to the covariant AO basis, and they can be easily transformed to another arbitrary subspace of MOs with appropriate AO-MO... [Pg.36]


See other pages where INDEX subspace is mentioned: [Pg.183]    [Pg.168]    [Pg.183]    [Pg.168]    [Pg.175]    [Pg.369]    [Pg.40]    [Pg.295]    [Pg.321]    [Pg.128]    [Pg.79]    [Pg.375]    [Pg.275]    [Pg.661]    [Pg.88]    [Pg.65]    [Pg.473]    [Pg.66]    [Pg.61]    [Pg.222]    [Pg.231]    [Pg.183]    [Pg.418]    [Pg.24]    [Pg.160]    [Pg.252]    [Pg.465]    [Pg.98]    [Pg.106]    [Pg.32]    [Pg.100]    [Pg.45]    [Pg.69]   


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