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Determining the transformation matrix

Each entry A -, A k, or A m is a species or mineral that can be formed according to a swap reaction as a combination of the entries in the original basis. If Aj, a secondary species under the original basis, is to be swapped into basis position A (, the corresponding swap reaction is, [Pg.72]

Alternatively, the reaction for swapping a mineral A[ or gas An into position A k or A m is, [Pg.72]

An equilibrium constant Ksw is associated with each swap reaction. The swap reactions, written ensemble, form a matrix equation, [Pg.73]

Here (/3) 1, the inverse of (/ ), is the transformation matrix, which is applied frequently in petrology (e.g., Brady, 1975 Greenwood, 1975 Thompson, 1982), but somewhat less commonly in aqueous geochemistry. [Pg.73]

These equations are abstract, but an example makes their meaning clear. In calculating a model, we might wish to convert a basis, [Pg.73]


The process of determining the transformation matrix provides a chance to check that the current basis is thermodynamically valid. In the previous chapter we noted that if a basis is valid, it is impossible to write a balanced reaction to form one entry in terms of the other entries in the basis. [Pg.74]

To determine the transformation matrix we proceed exactly as before. We now have the four unknown parameters a, 3, y, 6 defined through ... [Pg.15]

The transformation matrix is determined by the requirement that the sum of square overlaps be maximized. The Ri are simple reference wavefunc-... [Pg.350]

A sinusoidal plot of grf>2 vs.

crystal plane gives another set of Ks that depend on other combinations of the gy, eventually enough data are obtained to determine the six independent values of gy (g is a symmetric matrix so that gy = gy,). The g-matrix is then diagonalized to obtain the principal values and the transformation matrix, elements of which are the direction cosines of the g-matrix principal axes relative to the crystal axes. An analogous treatment of the effective hyperfine coupling constants leads to the principal values of the A2-matrix and the orientation of its principal axes in the crystal coordinate system. [Pg.54]

The transformation matrix is orthogonal of order 2. With every element T() of the group can be associated a 2 x 2 orthogonal matrix with determinant +1 and the correspondence is one-to-one. The set of all orthogonal matrices of order 2 having determinant +1 is a group isomorphic to 0(2) and therefore provides a two-dimensional representation for it. The matrix group is also denoted by the symbol 0(2). [Pg.89]

Referring to Fig. A.2, assume that the principal coordinates align with z, r, and O. The unit vectors (direction cosines) just determined correspond with the row of the transformation matrix N. Thus, if the principal stress tensor is... [Pg.760]

The transformation matrix X is determined experimentally and is related to the rate constant matrix, K ... [Pg.539]

Under a crv plane Y/,o is unchanged, while Y/)+m and Y,-m transform into a linear combination this is easily determined from one of the transformation matrix expressions given above. [Pg.170]

In order to eliminate the problems with the invariance, we proposed some time ago a topological approximation based on the so-called overlap determinant method [43]. This approximation is based on the transformation matrix T that describes the mutual phase relations of atomic orbitals centred on molecules R and P, and thus plays in this approach the same role as the so-called assigning tables in the overlap determinant method (Eq. 4)... [Pg.3]

In fact the relative coefficients within a set of symmetrically equivalent atoms, such as Cl, C3, C5, and Cg in para-benzosemiquinone, can be determined by group theory alone. The appropriate set of symmetrized orbitals, also listed in Table 1, can be obtained by use of character tables and procedures described in Refs. 3 to 6. In matrix notation, the symmetrized combinations are <1> = Up, where <1) and p are column vectors and U is the transformation matrix giving the relations shown in part (c) of Table 1. The transformation U and its transpose U can be used to simplify the solution of the secular matrix X since the matrix multiplication UXU gives the block diagonal form shown in part (6) of Table 1. [Pg.463]

TABLE 1.3. Types of Lattice Symmetry Based on the Values of the Translation Vector T, the Transformation Matrix W, and its Determinant... [Pg.14]

Autunite is well-known to dehydrate rapidly to form meta-autunite, for whieh no satisfactory structure model has yet been presented. A method of direet synthesis of meta-autunite has not been reported, and its formation by dehydration of autunite likely induces so much mosaic spread that single crystal structure determinations have not been successful. Autunite may be eonsidered to exhibit pseudosymmetry, as the transformation matrix [- /2OO/OOI/OIO] yields a metrically tetragonal cell. [Pg.251]

If for a given molecule we consider sets of curvilinear and rectilinear coordinates that are interrelated in the sense discussed in Sect. 3.1.1, we will obtain identical leading terms in corresponding expansions, irrespective of the class of coordinates. Since the harmonic part of the potential function is also independent of whether we use curvi- or rectilinear coordinates6, we can use the same linear transformation to normal coordinates as well. In both cases the transformation matrix, L, is determined by the set of equations,... [Pg.126]

The utility of Eq. (4.4.22) may be illustrated very simply. At very high J-values, a 2n state will approach the case (b) limit, at which point there is essentially no information in the spectrum from which the spin-orbit constant, A, may be determined. The U matrix for the case (a)—>(b) transformation at the high-J limit is... [Pg.252]

Figures 1.8(b), 1.8(c) and 1.8(d) all represent the same structure and the same translational lattice as Fig. 1.8(a). In Fig. 1.8(c) we have chosen another origin for the coordinate systto. In Fig. 1.8(b) we have chosen another base a = 2a + b, b = a + b. The area of the cell in Fig. 1.8(b) is the same as in Fig. 1.8(a) a X b = a X b. If the determinant of the transformation matrix between the systems (a, b ) and (a,b) is equal to 1, the area of the cell remains unchanged. Analogously, if the determinant of the transformation matrix between the systems (a, b, c ) and (a,b,c) in a three-dimensional structure is equal to 1, the volume of the cell remains unchanged. If the determinant is negative, we pass from a right-handed coordinate system to a left-handed one or vice versa. This determinant is equal to 2 in Fig. 1.8(d) where a" = a + b and b" = — a + b. The corresponding cell has double the area. The coordinates of the lattice points with respect to (a",b") are (u v) and (m + l/2 i + 1/2) where u and v are integers, i.e. (a" +b")/2 is a translation. Figures 1.8(b), 1.8(c) and 1.8(d) all represent the same structure and the same translational lattice as Fig. 1.8(a). In Fig. 1.8(c) we have chosen another origin for the coordinate systto. In Fig. 1.8(b) we have chosen another base a = 2a + b, b = a + b. The area of the cell in Fig. 1.8(b) is the same as in Fig. 1.8(a) a X b = a X b. If the determinant of the transformation matrix between the systems (a, b ) and (a,b) is equal to 1, the area of the cell remains unchanged. Analogously, if the determinant of the transformation matrix between the systems (a, b, c ) and (a,b,c) in a three-dimensional structure is equal to 1, the volume of the cell remains unchanged. If the determinant is negative, we pass from a right-handed coordinate system to a left-handed one or vice versa. This determinant is equal to 2 in Fig. 1.8(d) where a" = a + b and b" = — a + b. The corresponding cell has double the area. The coordinates of the lattice points with respect to (a",b") are (u v) and (m + l/2 i + 1/2) where u and v are integers, i.e. (a" +b")/2 is a translation.
Both the and the coefficients in the linear combination relations are functions of the rate constants, through the matrix transformations. Obviously, Eq. 1.6.2-1 is enormously isier to use in determination of the than the full solutions for the y which consist of Af-exponential terms, and which would require nonlinear regression techniques. In foct, simple logarithmic plots, as just described, can be used. Once the straight-line reaction paths are used to determine the numerical matrix manipulations can then be used to readily recover the kj,. ... [Pg.47]

Overlapping bands can become a problem when, for example, there are two consecutive electron-transfer reactions [137]. One solution is to look at the time-or potential-resolved spectra [138], Overlapping bands are often responsible for nonlinear Nemstian plots in OTTLE studies [139]. There are only a few examples of the use of differentiating the absorbance [134], least-squares analysis [140], of the latest chemometric techniques [141]. In the latter study, evolutionary factor analysis of the spectra arising from the reduction of E. coli reductase hemoprotein (SiR-HP ) in which three species are present and the reduction of the [Cl2FeS2MoS2FeCl2] (four species present). The most challenging part of the work was the determination of the transformation matrix. [Pg.510]

Here the summation is performed over the repeating indexes. A is the transformation matrix with components Ay (ij= 1,2,3) and determinant det(A) = 1 the factor Ir denotes either the presence (tr=l) or the absence (tr = 0) of the time-reversal operation coupled to the space transformation Ay. For the case when the matrices A represent all the generating elements of the material point symmetry group (considered hereinafter) the identity = dY should be valid for nonzero components of the piezotensors. [Pg.218]

To determine which choice of signs applies in (12), note that Xr = 0 is a necessary, but not a sufficient, condition that the second choice be correct, for if as = t/2, Xe would vanish for either choice. But if the first choice applied, the square of the transformation matrix (12) would be... [Pg.183]

On the basis of these transformation relations it is now possible to calculate the overlap integrals. This integral is given by the square of a certain determinant, the individual matrix elements ay of which correspond to the overlap integrals between the individual bonds of the reactant and the product (Eq. 16). [Pg.33]


See other pages where Determining the transformation matrix is mentioned: [Pg.72]    [Pg.73]    [Pg.52]    [Pg.18]    [Pg.72]    [Pg.73]    [Pg.52]    [Pg.18]    [Pg.146]    [Pg.72]    [Pg.170]    [Pg.19]    [Pg.141]    [Pg.70]    [Pg.311]    [Pg.411]    [Pg.23]    [Pg.129]    [Pg.463]    [Pg.157]    [Pg.77]    [Pg.157]    [Pg.467]    [Pg.12]    [Pg.64]    [Pg.90]    [Pg.94]    [Pg.116]    [Pg.241]    [Pg.1426]   


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