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Space transformations

The operators in (2.36) are easily re-expressed in the molecule-fixed coordinate system since the V operator merely becomes the V, operator in the new coordinate system and, as mentioned earlier, Fei,nuci becomes independent of the Euler angles. We must also consider the transformation of the partial differential operators 3/3 p, 3/39 and 3/3x from space to molecule-fixed axes. Thus [Pg.52]

The subscripts s and m denote that space or molecule-fixed electron coordinates are held constant for example, (3/39)s means (3/39)r x X ,y ,z The desirability of rewriting the total Hamiltonian in terms of (3/3 9)m, (3/3 / )m and (3/3x)m is thus evident (3/39)s corresponds to the effect on the wavefunction of an infinitesimal rotation of the nuclei alone, with the electrons held fixed in space, whereas (3/30)m corresponds to the effect of an infinitesimal rotation of the molecule-fixed axis system and all the particles with it. [Pg.52]

In order to carry out the differentiations in (2.79), we use the transformation matrix between the two coordinate systems given in equation (2.40) and obtain [Pg.53]

Now the orbital angular momentum operator hL has components in the space-fixed axis system which are defined as [Pg.54]

When we refer these components to the gyrating axis system, we find that the resultant operators L, Ly and are the same fimctions of the molecule-fixed coordinates and their conjugate momenta a.s Lx, Ly and Lyaie of the space-fixed electronic coordinates and their conjugate momenta. Thus Lx,Ly and are given by expressions of the same [Pg.54]


If the basis set e of unit vectors in cartesian 3-space transforms... [Pg.280]

The third alternative to generate the diagonalized form is to use the state space to state space transformation function. The transformation is based on the modal matrix that we obtained earlier. [Pg.236]

Let u and r be a pair of vectors in a two-dimensional vector space defined over the field of complex numbers. A rotation in this space transforms u and... [Pg.92]

Only deterministic models for cellular rhythms have been discussed so far. Do such models remain valid when the numbers of molecules involved are small, as may occur in cellular conditions Barkai and Leibler [127] stressed that in the presence of small amounts of mRNA or protein molecules, the effect of molecular noise on circadian rhythms may become significant and may compromise the emergence of coherent periodic oscillations. The way to assess the influence of molecular noise on circadian rhythms is to resort to stochastic simulations [127-129]. Stochastic simulations of the models schematized in Fig. 3A,B show that the dynamic behavior predicted by the corresponding deterministic equations remains valid as long as the maximum numbers of mRNA and protein molecules involved in the circadian clock mechanism are of the order of a few tens and hundreds, respectively [128]. In the presence of molecular noise, the trajectory in the phase space transforms into a cloud of points surrounding the deterministic limit cycle. [Pg.272]

The space transformation implied in the above expressions carries a vector r into another vector M(r) ... [Pg.173]

There are also some unexpected problems, related to the fact that the stationarity conditions do not discriminate between ground and excited states, between pure states and ensemble states, and not even between fermions and bosons. The IBQ give only information about the nondiagonal elements of y and the Xk, whereas for the diagonal elements other sources of information must be used. These elements are essentially determined by the requirement of w-representability. This can be imposed exactly to the leading order of perturbation theory. Some information on the diagonal elements is obtained from the lCSE,t, though in a very expensive and hence not recommended way. The best way to take care of -representability is probably via a unitary Fock-space transformation of the reference function, because this transformation preserves the -representability. [Pg.329]

Principal component analysis is a simple vector space transform, allowing the dimensionality of a data set to be reduced, while at the same time minimizing... [Pg.130]

Key Words Biological activity chemical descriptors chemical spaces classification methods compound databases decision trees diversity selection partitioning algorithms space transformation statistics statistical medians. [Pg.291]

In contrast to partitioning methods that involve dimension reduction of chemical reference spaces, MP is best understood as a direct space method. However, -dimensional descriptor space is simplified here by transforming property descriptors with continuous or discrete value ranges into a binary classification scheme. Essentially, this binary space transformation assigns less complex -dimensional vectors to test molecules, with each dimension having unity length of either 0 or 1. Thus, although MP analysis proceeds in -dimensional descriptor space, its dimensions are scaled and its complexity is reduced. [Pg.295]

Rotation of any irreducible tensor in quasispin space transforms it according to the D-matrix of relevant dimensionality. For example, unitary transformations of a(qls yield the creation operators... [Pg.172]

According to the general relationship (5.9), rotations in isospin space transform the electron creation operators by the D-matrix of rank 1/2. If we go over from these operators to the one-electron wave functions they produce, then we shall have the unitary transformation of radial orbitals... [Pg.207]

In this example, orthogonality of all factor effects has been achieved by including additional center points in the coded rotatable design of Equation 11.81. Orthogonality of some experimental designs may be achieved simply by appropriate coding (compare Equation 11.26 with Equation 11.20, for example). Because orthogonality is almost always achieved only in coded factor spaces, transformation of... [Pg.215]

The ESPS method draws on and synthesizes a number of ideas in the extensive free-energy literature, including the importance of representations and space transformations between them [63, 68, 69], the utility of expanded ensembles in turning virtual transitions into real ones [23], and the general power of multicanonical methods to seek out macrostates with any desired property [27],... [Pg.37]

A continuous space transformation like this can also be implemented in the lattice switch framework described in Section IV.D. By the same token, one can generally devise a continuous version of any LS transformation. Thus, for example, the obvious continuous counterpart of the fcc-hcp LS transformation depicted in Fig. 6 entails a gradual shear of the close-packed planes. Since the LS implementation remains always in the space of one or other of the crystalline structures, one might expect it to prove the safer choice. Where an explicit comparison of the two strategies has been made [87], this was indeed the conclusion. [Pg.62]

A method has been developed to identify the nodes which will not be immediately approached by the event and can be turned off to save energy [Liu 02], The method is based on the dual space transformation [O R 98], Figure 2 shows the dual space. Points from the primal space are transformed into lines in the dual space. Lines from the primal space are transformed into points in the dual space. As a result, the dual space is partitioned into cells. The e point, the shadow edge, is contained in the shaded cell. Since the e point can not intersect the n2 line, before it crosses one of the cell boundaries, the N2 node can stay turned off as long as none of Nl, N3 and N4 senses a transition. This method may provide a substantial power reduction for a large sensor field. However, if nodes that line the perimeter around the event misbehave and declare a transition, it will force several other nodes to wake up and waste energy. [Pg.179]

In the absence of recombination the simple integration over space transforms Eq. (3.290) to the conventional rate equation ... [Pg.217]

Using two generators, E and. S, provides more flexibility in the choice of variables. The behavior of the variables x under space transformation determines the matrix L. The information related to the dynamics of material describes the friction matrix M which is related to the transport coefficients. [Pg.684]

The set <5) = (pi) i=i,n forms a carrier space which is in one to one correspondence with the elements of the orbit Q, H c G). An orthogonal basis set for ) may then always be defined by forming the h — 1 traceless combinations of these n components. As an example in the case of a tetrahedron an arbitrary function space, transforming as T2, will have exactly one component which is totally symmetric under a Csv subgroup, and which we will label as a)- Four such components can be formed, one for each trigonal site. The T2 basis may then be expressed (up to... [Pg.34]

Note in the second line of this equation that symmetrization of the direct square gives rise to only one cross-term. This equation expresses the standard Jahn-Teller result that time-even interactions in a degeneracy space transform according to the symmetrized square (indicated by square brackets) of the corresponding irrep. This square can be further resolved, into a non-distortive totally symmetric part and the proper Jahn-Teller part. [Pg.36]

Other studies of Fock space h formulations by Kutzelnigg and Koch consider two different definitions of the diagonal part of a Fock space operator. Fock space transformations yield different h s from those produced by the analogous Hilbert space transformations with their second definition [54], but apparently not with their first one [53, 119]. Their numerous VF transformation variants yield h s which can be classified using the same method utilized above with the four transformations that Kutzelnigg et al. find to yield connected h s. Table IV presents this classification. [Pg.505]

Classification of Mapping Operators Corresponding to the Fock Space Transformation IV Variants of Kutzelnigg and Koch... [Pg.506]

Some properties of the Fock space transformations W and effective Hamiltonians h and, thus, of the resulting h, appear to differ from those obtciined by Hilbert space transformations. For example, their canonical unitary W is not separable and yields an h and, thus, an h with disconnected diagrams on each degenerate subspace. However, the analogous U of Eq. (5.13) may be shown to be separable 71), and the resulting He on each complete subspace flo is fully linked , as proven by Brandow [8]. These differences are not explained. [Pg.540]

In principle, the higher the order of polynomial used, the more accmate the colour space transformation. However, there are some important parameters to be considered the material of the test target, the number of colours used for deriving the transform coefficients and their distribution throughout the colour space. The predicted error between the measured and predicted tristimulus values can be calculated using a colour difference formula such as CIELAB (CIE 15.2, 1986). [Pg.355]

Understanding which ID space transformations are implicit and which may be performed explicitly through links or other tools, is crucial to successful use of the advanced PubChem tools. With Entrez history, the user has complete control over the set logic used in sophisticated query refinement. Both of these concepts become even more important when dealing with the PubChem programmatic tools (described below). [Pg.226]


See other pages where Space transformations is mentioned: [Pg.44]    [Pg.126]    [Pg.55]    [Pg.264]    [Pg.299]    [Pg.299]    [Pg.44]    [Pg.194]    [Pg.29]    [Pg.62]    [Pg.99]    [Pg.212]    [Pg.411]    [Pg.45]    [Pg.52]    [Pg.307]    [Pg.504]    [Pg.504]    [Pg.52]   


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Continuous wavelet transform space-scale analysis

Effective Hamiltonian Fock space transformation

Exponential unitary transformations of states in Fock space

Fock-space unitary transformation

Fourier Transforms of Position-space Hybrids

Fourier transformation spaces

Fourier transforms (between crystal and diffraction space)

Galilean Space-Time Transformations The Michelson Experiment

General Transformation Theory in Thermodynamic Metric Space

Hamiltonian transformed Fock space

Linear transformations (operators) in Euclidean space

Lorentzian Space-Time Transformations The Minkowski Universe

Real space structures, Fourier transform

Similarity transformation-based Fock-space

Similarity transformation-based Fock-space theories

Space-scale analysis transform

Space-time transformation

Special relativistic notation Minkowski space-time. Lorentz transformation

State space transformation

Transformation of phase-space volumes

Vector space linear transformation

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