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Vectors, yield

Applying the same procedure to higher-dimensional mixture-fraction vectors yields expressions of the same form as (6.130). Note also that for any set of bounded scalars that can be linearly transformed to a mixture-fraction vector, (6.115) can be used to find the corresponding joint conditional scalar dissipation rate matrix starting from (e% C). [Pg.302]

The average over all chains in the system (presenting all possible directions of end-to-end vectors) yield . With = /3 = r2/3, Eq.(6.32) rearranges after averaging to give... [Pg.83]

If measurement of the component some unit vector, yields the value +1 then, according to quantum mechanics, measurement of <72 a must yield the value -1 and vice versa. Since the measurements are conducted at places remote from one another the orientation of one magnet does not influence the result obtained with the other. Since the result of measuring any chosen component of 03 can be predicted by first measuring the same component of 01, it follows that the result of any such measurement must actually be predetermined. The initial wave function does not determine the result of an individual measurement so that this predetermination implies the possibility of a more complete specification of the state, as inferred by EPR. [Pg.73]

A dot product of two vectors yields a single number, a scalar. It is possible to generate a three-by-three matrix by the multiplication of two vectors. This... [Pg.164]

If the real unit cell contains only a very few atoms, as is often the case with an ionic crystal or salt, the Patterson map, calculated by including its diffraction intensities as coefficients in the Patterson synthesis, may be treated as a puzzle. The object is to contrive a distribution of atoms whose interatomic vectors yield the highest peaks in the Patterson map. This direct approach in fact provided the means by which many of the first small molecules and simple ionic crystals were solved. It is not practical for larger, more complicated structures. [Pg.200]

Introduction of a peptide into the AAV2 capsid is a viable strategy for retargeting AAV2 to additional cell types however, modifications in the AAV2 capsid often result in a reduction in vector yields, especially if the insertion is large. The unique N-terminal region of VP2 allows for peptide insertions without a loss of titer, when... [Pg.60]

The orthogonal curvilinear unit vectors just introduced obay certain laws, which are used in the subsequent paragraphs. The scalar or dot product of two unit vectors yields ... [Pg.1164]

Then the Pauli matrix operators acting on these vectors yield the results... [Pg.9]

Here the second term vanishes since the angular momentum operator acting on the ground state vector yields... [Pg.417]

To determine the matrix, let us introduce the basis vectors and ey with respect to the plane throngh the vectors n,. and. The vector is perpendicnlar to the reference planes, whereas the vector Cy is parallel to them. Transforming these vectors into spherical basis vectors yields the contravariant spherical basis vectors [30] e"(nj ) and e (n J, which are rotated with respect to the vectors e (n,) and (n ) through the angles

[Pg.225]

Colinear excitation and emission vectors yield So Si and Si-- So transitions. This means that high positive values of P would correspond to a So Si transition, while the negative values of P would correspond to the SoS2 transition. [Pg.195]

Equation (8-78) is also known as the equation of change for fluid angular velocity in the low-Reynolds-number limit for incompressible Newtonian fluids because V X V, which is twice the vorticity vector, yields twice the angular velocity vector of a solid that rotates at constant angular velocity. The summation representation of the Laplacian of the vorticity vector. [Pg.180]

It is left as an exercise for the student to verify that these relations between the two nonzero velocity components and ilr conserve overall fluid mass, and that streamlines intersect equipotentials at right angles in cylindrical coordinates. The stream function is obtained by invoking no vorticity at the microscopic level. Only the z-component of the fluid vorticity vector yields nontrivial information about ir. For example. [Pg.220]

Although spin was first introduced phenomenologically (see Sect. 2.4) and shown to require only 2D matrices for its representation (Eq. 2.14), the theoretical proof for its existence required a four-component wave vector, yielding additional negative-energy states. This hints that spin, as well as Zitterbewegung (see Sect. 2.4), must be related to these states. This appears in the entanglement of the four components of W when Eq. (2.11) is written explicitly in the form of four coupled equations [6]. [Pg.29]

For simplicity, we only discuss the so-called homogeneous case, which is applicable to all systems of the form (3.1). If additionally inhomogeneous constraints, such as minimal maintenance requirements or maximal flux capacities, are considered, the mathematical analysis based on the concept of elementary flux vectors yields similar, but more complex decompositions [5, 7,8]. [Pg.787]

This yields the usual distance of points in 3D space as the distance d(x, y) of the corresponding vectors. Thus, the scalar product of vectors yields the geometric distance of points. [Pg.94]

Multiplying the equation of momentum (4.70) by the average velocity vector yields the following equation written in Cartesian coordinates ... [Pg.66]

An interesting relationship between the FP- and veetor-based similarity coefficients occurs when both have binary component values, e.g. m, = (1,0,0,0,1,1,0,1,0,1) and Xrow(0 = (1>0,0,0,1,1,0,1,0,1). In such cases, but only in such cases, the similarity coefficients based on binary FPs or binary vectors yield exactly the same similarity value for all of the similarity coefficients described above. However, this limitation has not been consistently adhered to and similarity values computed using continuous vectors or weighted FPs based on Eqs. (1.27)-(l. 29) yield values that may differ significantly from their corresponding FP-based similarity coefficients. [Pg.21]

A plot of the logarithm of the scattering intensity as a function of the square of the scattering vector yields a straight line, the slope of which gives the gyration radius of the particles. [Pg.362]

FIGURE 15.4 The identification of electronic energy levels by / and ultimately M quantum numbers. A electron configuration suggests only a single state. However, the combination of L and S vectors yield 5 different / states, which, when separated into M states, ultimately yield 15 different states within the electron configuration. See Figure 15.5 for the term symbols of the 5 states. [Pg.542]

The bitwise AND of an - initially randomly chosen - projection vector and each state vector yields a vector uniquely identifying the similarity class each def/use class belongs to. The example projection function from Sect. 3.1 - preserving only the components EIP, ESP, EBP, and the higher-order bits of EDX and EAX - can directly be encoded by setting the corresponding bits in this vector. [Pg.24]


See other pages where Vectors, yield is mentioned: [Pg.181]    [Pg.19]    [Pg.26]    [Pg.39]    [Pg.60]    [Pg.257]    [Pg.87]    [Pg.162]    [Pg.151]    [Pg.77]    [Pg.360]    [Pg.228]    [Pg.766]    [Pg.9]    [Pg.61]    [Pg.266]    [Pg.60]    [Pg.899]    [Pg.116]    [Pg.153]    [Pg.524]    [Pg.222]    [Pg.69]    [Pg.634]    [Pg.92]    [Pg.192]    [Pg.437]   
See also in sourсe #XX -- [ Pg.61 ]

See also in sourсe #XX -- [ Pg.61 ]




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Linear yield vectors

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