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Q matrix

As the band dryer is a type zero system, and there are no integrators in the controller, steady-state errors must be expected. ITowever, the selection of the elements in the Q matrix, equation (9.90), focuses the control effort on control-... [Pg.294]

On the other hand, qy, is a measure of clay feed-rate variations, and a standard deviation of 0.3 tonnes/hour seemed appropriate. In the absence of any other information, standard deviations of the burner and dryer temperatures was also thought to be in the order of 0.3 °C. Thus, when these values are squared, the Q matrix becomes... [Pg.297]

The general case of a laminate with multiple anisotropic layers symmetrically disposed about the middle surface does not have any stiffness simplifications other than the elimination of the Bjj by virtue of symmetry. The Aig, A2g, Dig, and D2g stiffnesses all exist and do not necessarily go to zero as the number of layers is increased. That is, the Aig stiffness, for example, is derived from the Q matrix in Equation (2.84) for an anisotropic lamina which, of course, has more independent... [Pg.213]

Also interesting chemically is the identification of some expected reactions which do not occur in the solid state 45). Among these is the exchange of Mn(CO)5 with an Mn2(CO),Q matrix. [Pg.240]

From now on, we adopt a notation that reflects the chemical nature of the data, rather than the statistical nature. Let us assume one attempts to analyze a solution containing p components using UV-VIS transmission spectroscopy. There are n calibration samples ( standards ), hence n spectra. The spectra are recorded at q wavelengths ( sensors ), digitized and collected in an nx.q matrix S. The information on the known concentrations of the chemical constituents in the calibration set is stored in an nxp matrix C. Each column of C contains the concentrations of one of the p analytes, each row the concentrations of the analytes for a particular calibration standard. [Pg.353]

Interestingly enough, this turns out to be the very result that Pecora claims for the following reason the overcounting of the number of real conditions on the diagonal elements of the assumed hermitian Q Q+ matrix (N in number) exactly compensates for the oversight of the conditions relative to the arbitrary phase of each Here, we have a second case in which an exact compensation of errors has occurred. [Pg.148]

Let us canonically transform the Q matrix into a diagonal matrix which has as its diagonal elements the eigenvalues of Q. [Pg.571]

Then the sum of the magnitudes of the off-diagonal elements in a given row of the Q matrix is calculated at one value of frequency and a circle is drawn with this radius. This is done for several frequency values and for each diagonal... [Pg.580]

At this point, since S is q x q matrix, according to the Cayley-Hamilton Theorem, S must satisfy its own characteristic polynomial, i.e. [Pg.84]

Selective saturation (using shaped pulses) of all the aromatic ring CH resonances together since they show up generally in a short window of 6.5-8.5 ppm. The Q-matrix is easily set up for this case. [Pg.34]

Since the protein signals at zero ppm were saturated in the STD experiment, for the computation of the Q-matrix in Eq. 1 we made the assiunp-... [Pg.38]

If the G-matrix is positive semidefinite, then the above expectation value of the G-matrix with respect to the vector of expansion coefficients must be nonnegative. Similar analysis applies to G, operators expressible with the D- or Q-matrix or any combination of D, Q, and G. Therefore variationally minimizing the ground-state energy of n (H Egl) operator, consistent with Eq. (70), as a function of the 2-positive 2-RDM cannot produce an energy less than zero. For this class of Hamiltonians, we conclude, the 2-positivity conditions on the 2-RDM are sufficient to compute the exact ground-state A-particle energy on the two-particle space. [Pg.36]

Though having a variational principle that works is all that is technically required in a useful theory, this condition is actually necessary and sufficient for the A-representability of the Q-matrix. That is,... [Pg.450]

This indicates that if a Q-matrix is not A -representable, then there exists at least one Hamiltonian capable of diagnosing this malady. We conclude that if Tr[HQ jvrg] > g.s.( Af) for all Hamiltonians, then Fg is Al-representable. In practice, it is useful to shift Hamiltonians so that the ground-state energy is zero. That is, we dehne Hamiltonians by... [Pg.451]

In the next section, we will show that the R, R) necessary conditions take an especially simple form. If T satisfies the R, R) conditions, then the Q-matrix obtained from the partial trace of Tg,... [Pg.455]

Even if the g-density is A -representable, this Q-matrix is not A -representable because its largest eigenvalue exceeds the upper bound N /Q N — Q+ ). (That is, this g-matrix violates the Pauli exclusion principle for g-tuples of electrons.) Approximating the correction term, Tp Jpg[ (]], seems difficult, and neglecting this term would give poor results, although the results improve with increasing Q [2, 10]. [Pg.474]

Lemma 1. Let a G-invariant ansatz be of the form (22). Then there is q x q matrix H(x) = ( ) nonsingular in 12 satisfying the matrix partial differential equation... [Pg.281]

The operator q2 is the square of the operator q. Since matrix representatives of operators obey the same relations as the operators (Section 2.3), the q2 matrix [whose elements are ] is the square of the q matrix [whose elements are (4.45)]. Hence, using the matrix-multiplication rule (2.11), we have... [Pg.81]

The q matrix is the negative of the electric-field gradient. Like the inertial tensor and the polarizability tensor, q is symmetric (since the order of partial differentiation is immaterial), and we can make an orthogonal transformation to a new set of axes a, ft, y such that q is diagonal, with diagonal elements qaa, q, q. Note, however, that the origin for q is at the nucleus in question and the axes for which q is diagonal need bear no relation to the principal axes of inertia (unless the nucleus happens to lie on a symmetry element). [Pg.120]

As the authors have shown in [2], another way of measuring the quantitative capability of this system is to apply the QUANT-3 curve fit Q-matrix type software program [10] which measures internal consistency among the standards in addition to determining analytical accuracy. [Pg.293]

For any equilibrium, either intra- or inter-molecular, the block of the superoperator X, which is concerned with the eigenvalue —1 of the superoperator F°, is nonpositive. One may rigorously prove this point by using Levy-Hadamard s theorem (e.g. reference 49). It is also necessary to consider that the sum of the moduli of the elements in each of the rows of the matrix X", from equation (118), is not larger than the modulus of the corresponding diagonal element of the K matrix [equation (119)]. The inequality results from the fact that in the basis set of product spin functions the sum of the moduli of the elements in each of the rows of the Y( matrix equals either 0 or 1. In addition, if any of the rows of the Y( matrix has non-zero elements, then the same row in the Y q matrix, where qj = 1 if j = 2 or else qj = 2 if j = 1, contains only zeros. [Pg.256]

The eigenvalues qY are real since Q(E) is Hermitian, as seen from Eq. (48). The set of original physical channels are linearly transformed into a new set of channels by the unitary matrix Uq. We refer to these new channels as Q-matrix eigenchannels, or Q-eigenchannels, for short. In the rest of Section 2, the eigenvalues qy and the corresponding Q-eigenchannels will turn out to be quite useful in resonance analysis. [Pg.189]

Substitution of the Breit-Wigner S matrix (34) into Eq. (48) for the Q matrix and the assumption of an energy-independent B, i.e., an energy-independent background Sb yield the expression... [Pg.189]

Note that, if Sb depends on the energy E, the eigenvector corresponding to the largest Q-matrix eigenvalue qmax depends on E and does not directly give the resonance branching ratios IV T however, see Ref. [50]. [Pg.190]

Figure 4.5 shows the eigenvalues of the Q matrix for electron scattering by helium, using the same S matrix as diagonalized in Figure 4.4 [43]. In spite of the complicated structure of the S-matrix eigenphases due to the threshold effects, the resonance Q-eigenvalue stands out conspicuously as a sharp peak... Figure 4.5 shows the eigenvalues of the Q matrix for electron scattering by helium, using the same S matrix as diagonalized in Figure 4.4 [43]. In spite of the complicated structure of the S-matrix eigenphases due to the threshold effects, the resonance Q-eigenvalue stands out conspicuously as a sharp peak...

See other pages where Q matrix is mentioned: [Pg.284]    [Pg.37]    [Pg.142]    [Pg.199]    [Pg.144]    [Pg.168]    [Pg.586]    [Pg.28]    [Pg.23]    [Pg.34]    [Pg.35]    [Pg.43]    [Pg.20]    [Pg.39]    [Pg.95]    [Pg.480]    [Pg.281]    [Pg.282]    [Pg.255]    [Pg.332]    [Pg.166]    [Pg.188]    [Pg.189]    [Pg.190]    [Pg.192]   


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Q-matrix eigenchannels and resonance eigenchannel space

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