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Realized space

We cannot exclude the possibility that there may be distinct conformers that do not differ in the orientation of any quadruple. Thus, even selecting all quadruples does not guarantee finding each conformer. One would expect such hypothetical unresolved twin conformers to be very similar structurally, such that missing one would not be too problematic. However, this is not the case. As Mnev [210] pointed out, realization spaces of orientation functions could be arbitrarily complicated. Thus, theoretically, two conformers that do not differ in any quadruple orientation, but with considerably different geometric structures could in fact exist. Still, the hope is that such orientation functions with strange realization space will not be of chemical relevance. [Pg.163]

Figure BT2T4 illustrates the direct-space and reciprocal-space lattices for the five two-dimensional Bravais lattices allowed at surfaces. It is usefiil to realize that the vector a is always perpendicular to the vector b and that is always perpendicular to a. It is also usefiil to notice that the length of a is inversely proportional to the length of a, and likewise for b and b. Thus, a large unit cell in direct space gives a small unit cell in reciprocal space, and a wide rectangular unit cell in direct space produces a tall rectangular unit cell in reciprocal space. Also, the hexagonal direct-space lattice gives rise to another hexagonal lattice in reciprocal space, but rotated by 90° with respect to the direct-space lattice. Figure BT2T4 illustrates the direct-space and reciprocal-space lattices for the five two-dimensional Bravais lattices allowed at surfaces. It is usefiil to realize that the vector a is always perpendicular to the vector b and that is always perpendicular to a. It is also usefiil to notice that the length of a is inversely proportional to the length of a, and likewise for b and b. Thus, a large unit cell in direct space gives a small unit cell in reciprocal space, and a wide rectangular unit cell in direct space produces a tall rectangular unit cell in reciprocal space. Also, the hexagonal direct-space lattice gives rise to another hexagonal lattice in reciprocal space, but rotated by 90° with respect to the direct-space lattice.
A convenient and constructive approach to attain symplectic maps is given by the composition of symplectic maps, which yields again a symplectic map. For appropriate Hk, the splittings (6) and (7) are exactly of this form If the Hk are Hamiltonians with respect to the whole system, then the exp rLnk) define the phase flow generated by these Hk- Thus, the exp TL-Hk) are symplectic maps on the whole phase space and the compositions in (6) and (7) are symplectic maps, too. Moreover, in order to allow for a direct numerical realization, we have to find some Hk for which either exp(rL-Kfc) has an analytic solution or a given symplectic integrator. [Pg.400]

The first line notations were conceived before the advent of computers. Soon it was realized that the compactness of such a notation was well suited to be handled by computers, because file storage space was expensive at that time. The heyday of line notations were between I960 and 1970, A chemist, trained in this line notation. could enter the code of large molecules faster than with a structure-editing program,... [Pg.23]

The temperature in the ceU is 40°C. Most electrolyte ceUs are equipped with 24 anodes spaced approximately 10 cm apart, center to center 25 cathode starting sheets are used, one at each end and others evenly spaced between the anodes. Current density is typicaUy 15 mA/cm of cathode area ceU voltage ranges from 0.30 to 0.70 V, and a current efficiency of 90—95% is usuaUy realized. [Pg.47]

The dimensionahty of a system is one of its major features. Despite the fact that our surrounding space is three-dimensional, one can prepare situations that lead to an effective lowered dimension. A typical example regarding colloids is the surface between the solvent and air. One can prepare the particles to be trapped at that interface, so that they float on top of the solvent, building up a two-dimensional (2d) system. Another realization is strong confinement between parallel plates that leads to an effective 2d system. Concerning simulations, it is very convenient to simulate 2d systems, as one has fewer degrees of freedom to deal with e.g., plotting snapshots is easier in 2d than it is in 3d. So, besides their experimental realizations, 2d systems are also important from a conceptual point of view. [Pg.761]

Intuitively, a graph can be realized geometrically in a three-dimensional Euclidean space vertices arc represented by points and edges are represented either by lines (in the case of undirected graphs) or arrows (in the case of directed graphs). In this book, we will be concerned with both kinds of graphs multiple edges i.e. when vertices arc connected by more than one line or arrow), however, are not allowed. [Pg.30]

Toffoli [toff7,5] showed that it is possible to realize such conserved landscape permutations in CA systems of arbitrary dimensionality and site value space size I 1= k. In each case, as in the above example, the method defines the inverse along with the forward map. [Pg.374]

In 1926 Erwin Schrodinger (1887-1961), an Austrian physicist, made a major contribution to quantum mechanics. He wrote down a rather complex differential equation to express the wave properties of an electron in an atom. This equation can be solved, at least in principle, to find the amplitude (height) of the electron wave at various points in space. The quantity ip (psi) is known as the wave function. Although we will not use the Schrodinger wave equation in any calculations, you should realize that much of our discussion of electronic structure is based on solutions to that equation for the electron in the hydrogen atom. [Pg.139]

The first step in our journey is to realize that there is nothing so unusual about these factor-based techniques. In fact, it is likely that you have already used one or more factor spaces in your studies or your work without even realizing it You see, a factor space is nothing more than a particular coordinate system that offers certain advantages to the task at hand. When we operate in a factor space, instead of the native data space, we are simply mapping our data... [Pg.79]


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See also in sourсe #XX -- [ Pg.68 , Pg.69 ]




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