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Transformation spatial

Seddon, G. M., Tariq, R. H., Dos Santos Viega, A. (1982). The visualisation of spatial transformations in diagrams of molecular structures. European Journal of Science Education, 4, 409 20. [Pg.30]

The nonvanishing components of the tensors y a >--eem and ya >-mee can be determined by applying the symmetry elements of the medium to the respective tensors. However, in order to do so, one must take into account that there is a fundamental difference between the electric field vector and the magnetic field vector. The first is a polar vector whereas the latter is an axial vector. A polar vector transforms as the position vector for all spatial transformations. On the other hand, an axial vector transforms as the position vector for rotations, but transforms opposite to the position vector for reflections and inversions.9 Hence, electric quantities and magnetic quantities transform similarly under rotations, but differently under reflections and inversions. As a consequence, the nonvanishing tensor components of x(2),eem and can be different... [Pg.530]

However, the difference between transverse profiles of linear and nonlinear modes can be significant for the considered range of powers (Fig.8). That is why numerical modeling of nonlinear mode propagation through the discontinuity is a reasonable way to study the spatial transformation of the mode field. [Pg.169]

We can employ an analog of the spatial transformation operator [138] for analyzing the transformation properties of a spinor under coordinate rotations. The evaluation of the corresponding 2D transformation matrices is simplified if we rewrite... [Pg.139]

For isotropic turbulence, the space correlation obtained from equation (19) by setting t2 = depends only on r = X2 — x l at fixed values of x and and its spatial transform therefore depends only on /c = k, that is. [Pg.387]

Carbon to carbon a-bond migration processes, which are visibly involved in the transformations of I and III, usually offer savory mechanistic problems whose main difficulty—most people think—resides in the drawing of intermediate structures. These are often complicated by the migration of bonds and atoms, and require the foresight to conceive convoluted spatial transformations. This sort of problem, however, features another major hardship If one makes generous use of one s imagination, a whole series of carbocationic intermediates... [Pg.143]

Once a rotation and translation search has been successfully achieved, then it is possible to place the known molecule in the crystallographic unit cell of the unknown molecule so that its atoms assume the approximate coordinates of the corresponding unknown atoms. By the structure factor equation, the spatially transformed coordinates of the known molecule can be used to calculate phases for the Fuu of the unknown crystal. These phases, of course, will only be approximate because the molecules are not truly identical, yet, because they are structurally similar, the calculated phases may provide adequate estimates. These approximations can then be used as a starting point for improvement and refinement of the unknown molecules in both real and reciprocal space. As described in Chapter 10, this knowledge can ultimately guide us to the correct structure for the unknown. [Pg.186]

Santa, J. L. (1977). Spatial transformations of words and pictures. Journal of Experimental Psychology Human Learning and Memory, 3, 418-427. [Pg.414]

What is symmetry In physics and mathematics, symmetry is understood as the invariance of some properties of the object being investigated with respect to all the transformations considered. In chemistry, symmetry is usually identified with the invariance of the Hamiltonian of the system with respect to spatial transformations of the object (molecule). The knowledge of symmetry makes it possible to draw certain conclusions on the behavior of the system without its complete description in the formal terms of the quantum theory [7]. The group theory is the mathematical theory of symmetry. [Pg.141]

Similarly to the result obtained for QRs, these unitary DSs are just the spatial transformations dictated by the symmetry of the nanotube potential and compensated by the appropriate translation in time. It is interesting to examine the quantum numbers associated with the DSs Rjv and Poo- Note that the Floquet states 0 (r, t) are eigenstates of P and as well. Recall, that for QRs we have = I and, therefore, the eigenvalues of Pjv are the Mh order roots of - 1. The situation is more intricate for nanotubes in circularly polarized fields, where we find P P = I. Owing to the foim of the interaction term, equation (28), and the periodicity embedded in P, it is natural to transform from z and t to another set of orthogonal coordinates o)t — Icqz and cjt + koz)/2. Afterwards, it is possible to rewrite a Floquet state as... [Pg.403]

In a immersion-coordinate-system X = (x,y,z), which is specified by the tunnel axis = -axis (taken from design data) and the height above German reference surface, intended coordinates for all significant construction parts (element corners, support sockets etc.) and all survey points in and on the element are ascertained. Moreover, for shore components and survey pylons coordinates in immersion-coordinate-system are found. The relationship between the immersion-system X and the five element-systems Ui is specified through spatial transformations of the type... [Pg.311]

By mutual replacing of spatial transformations between die (equivalent) inertial referential systems, one successively obtains... [Pg.580]

When using this general joint model, the location of link coordinate frames is the same as described in Section 2.2. In fact, fn single-axis joints, the joint variables, axis alignment, and spatial coordinate transformations all remain unchanged by this new model. The choice of joint variables, axis alignment, and the spatial transformations between coordinate systems become more complex for multi-axis joints, however. These issues will not be discussed in detail here. Details concerning these transformations may be found in [9] and [36]. [Pg.15]

As was discussed in Chapter 2, the transformation of a vector firom one coordinate system to an adjacent one may be accomplished using the spatial transformation X as follows ... [Pg.35]

The spatial transformation matrix, is usually written as a single genoal tiansfamation, as shown in Equation 2.5. Howevo-, as demonstrated by Feath-erstone in [9], significant savings can be obtained by using two screw transformations instead, the first on the x-axis, followed by a second on the new z-axis. Thus, the transformation, X, may be written ... [Pg.35]

In Equation 4.51, L acts as a spatial transformation which prqjagates the spatial accel tion vector, a,- i, across joint i. We will call a matrix which transforms spatial vectcs s across actuated joint structures a spatial articulated tran ormation. In general, an articulated transformation is a nonlinear function of the articulated-body inertia and is a dimensionless 6x6 matrix. Featherstone calls the articulated transformation, L,, the acceleration propagator [9]. It relates the spatial acceleration of one link of an articulated body to the spatial acceleration of a neighbraing link in the same articulated body (ignoring bias... [Pg.57]

In the following, it was assumed that an image has three dimensions. T denotes the spatial transformation that maps coordinates (spatial locations) from one image or coordinate space to another image or coordinate space. and Pb denote coordinate points... [Pg.80]

Christine Boyer, Aviation and the Aerial View Le Corbusier s Spatial Transformations in the 1930s and 1940s (2003). The seriousness of these proposals shows how inconceivable the consequences of saturation bombing was at the time. Corb characteristically makes the technical proposition part of a general reorientation of space brought about by aviation. ... [Pg.222]


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See also in sourсe #XX -- [ Pg.53 ]

See also in sourсe #XX -- [ Pg.53 ]




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Efficient spatial transformations

Fourier transforms spatial

Spatial Fourier transform

Spatial distributions Indicator transform

Transforming Spatial Rigid-Body Inertias

Transforming Spatial Vectors

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