Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Vector orthogonal

The matrix A in Eq. (7-21) is comprised of orthogonal vectors. Orthogonal vectors have a dot product of zero. The mutually perpendicular (and independent) Cartesian coordinates of 3-space are orthogonal. An orthogonal n x n such as matr ix A may be thought of as n columns of n-element vectors that are mutually perpendicular in an n-dimensional vector space. [Pg.207]

We have noted that if is the energy-momentum four vector of a photon (i.e., P = 0, k0 > 0) there exist only two other linearly independent vectors orthogonal to ku. We shall denote these as tft k) and ejf fc). They satisfy... [Pg.555]

In the virtual mineral space, the rock composition is projected onto the plane made by the vectors enstatite [0,1,0]T and diopside [0,0,1]T. Although these vectors are not orthogonal in the original oxide composition space, which can be verified by constructing the dot product of columns 2 and 3 in the matrix BT, the particular choice of the projection makes the vectors orthogonal in the transformed space. According to the projector theory developed above, we project the rock composition onto the column-space of the matrix A such that... [Pg.71]

We cannot continue this process indefinitely because in an fV-dimensional space we can only make a vector orthogonal to at most (N 1) other vectors. So to make this a well-defined algorithm, we have to restart the process of defining search directions after some number of iterations less than N. [Pg.73]

The first-order Kuhn-Tucker constraint qualification is not satisfied since there are no arcs pointing in the constrained region which is a single point, and hence there are no tangent vectors z contained in the constraint region. The second-order constraint qualification holds, however, since there are no nonzero vectors orthogonal to all three gradients. [Pg.65]

The temperature dependence can be removed by projecting the data points in a direction orthogonal to the line. The vector orthogonal to the line is given by [ ), — Eg, —(Er — Eg)]T. The projected coordinate is then given by... [Pg.179]

The expression (1.75) is simplified if we note that acts only in the subspace of wave vectors orthogonal to K / is purely transverse. Thus, let us define for each wave vector its transverse component d by... [Pg.26]

Assume that in the nth iteration we have generated n orthonormal trial vectors orthogonal to MC>... [Pg.199]

The electrical resistivity in directions other than the molecular stacking axis has been measured in a few cases. In (TMTSF)2PF6 one finds pa pb. pc, 1 200(3000) 3 x 104(106), where numbers in parentheses refer to T = 20 K, i.e., just above the transition (88). Here b is a vector in the ab plane perpendicular to a, and c is the reciprocal lattice vector orthogonal to the same plane. The situation in (TMTSF)2PF6 is probably typical for the series, whereas in (ET)2ClO4(TCE)0 5 one finds PilP — 1-2 (86), which suggests a very two-dimensional electronic structure in agreement with other experimental results, as well as band structure calculations (89). [Pg.283]

The vector orthogonal to the vector given by Eq. (244) is formed by interchanging its elements and placing a negative sign before one of them we obtain... [Pg.293]

Hence, all vectors orthogonal to the row vector formed by the fth row of the matrix K give extreme values for a,. These vectors define an (n — 1)-dimensional linear subspace of the n-dimensional composition space. The intersection of this subspace with the (n — l)-dimensional linear subspace... [Pg.295]

The new basis set is identified as follows. First, u is defined to be the unit vector orthogonal to the allowed hyperplane... [Pg.93]

Variation principle 18, 154, 222 VB (valence bond) model 94 Vector 4 Vector docking 57 Vector potential 294 Vector space 220 Vector, cross product 6 Vector, dot product 5 Vectors, orthogonal 6 Velocity dipole operator 193 Velocity relaxation 253... [Pg.177]

Since a J+ J 0, we have x = arj — 0 or x — x =0 and hence a two dimensional vector orthogonal to p and p cannot exist. By extension, this is generally true i.e. the maximum number of orthogonal -dimensional vectors is g. [Pg.229]

When more than one anharmonic interaction term couples near-degenerate, zero-order levels, a simple vector orthogonalization technique can be used to generate a complete set of the dynamically important (i.e., approximately conserved) polyad quantum numbers (Fried and Ezra, 1987 Kellman, 1990). For example, in acetylene, HC = CH, where the ratios of normal mode frequencies u2 W3 W4 W5 are approximately 5 3 5 1 1, modes 1, 2, and 3 are stretching modes (respectively symmetric CH stretch, and CC stretch, and antisymmetric CH stretch), modes 4 and 5 are bending modes (trans-bend and cis-bend), each polyad is labeled by 3 polyad quantum numbers,... [Pg.689]

A sensitive technique used for real time reconstruction of chromatograms from the interferogram is the Gram Schmidt vector orthogonalization method. The Gram Schmidt method relies on the fact that the interferogram contains information on absorbing samples at all optical retardations less than the reciprocal of the width of each band in the spectrum. [Pg.192]

Q is an operator that picks the k largest elements from the w vector. is an operator that takes one vector and a matrix and makes the vector orthogonal to the columns in the matrix. [Pg.375]

Cross product. A geometrical operation wherein two vectors will generate a third vector orthogonal (perpendicular) to both vectors. The cross product also has a particular handedness (we use the right-hand rule), so the order of how the vectors are introduced into the operation is often important. [Pg.5]

Fig.9.4. The volume V of the unit cell is equal to T =a -(areaof rfiefcase)i = i-(02 x "3) is the unit vector orthogonal to the base. Fig.9.4. The volume V of the unit cell is equal to T =a -(areaof rfiefcase)i = i-(02 x "3) is the unit vector orthogonal to the base.
In the course of study, students should master material that is both simple and complex. Much of this involves familiarity with the set of mathematical tools repeatedly used throughout this book. The appendices provide ample reference to such a toolbox. These include matrix algebra, determinants, vector spaces, vector orthogonalization. secular equations, matrix diagonaUzation. [Pg.1054]


See other pages where Vector orthogonal is mentioned: [Pg.499]    [Pg.33]    [Pg.70]    [Pg.226]    [Pg.119]    [Pg.210]    [Pg.244]    [Pg.30]    [Pg.229]    [Pg.9]    [Pg.74]    [Pg.96]    [Pg.15]    [Pg.55]    [Pg.252]    [Pg.282]    [Pg.778]    [Pg.778]    [Pg.312]    [Pg.689]    [Pg.334]    [Pg.72]    [Pg.834]    [Pg.96]    [Pg.321]    [Pg.409]   
See also in sourсe #XX -- [ Pg.6 ]

See also in sourсe #XX -- [ Pg.6 ]

See also in sourсe #XX -- [ Pg.101 ]




SEARCH



Basis vectors orthogonal

Column vectors orthogonal

Gram Schmidt vector orthogonalization

Linear algebra orthogonal vectors

Order Orthogonal vectors

Orthogonality of vectors

Orthogonalization vectors

Orthogonalization vectors

Orthogonalization vectors geometrical view

Orthogonalization vectors methods

Sign vectors orthogonality

Vector orthogonal components

Vector orthogonal vectors

Vector orthogonal vectors

Vector space orthogonal basis

Vector spherical harmonics orthogonality

Vector, axial orthogonal

Vectors orthogonality

Vectors, orthogonality relations

Vectors, orthogonality relations between

© 2024 chempedia.info