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Product vector

The sum excludes m = n, because the derivation involves the vector product of (n Vq H n) with itself, which vanishes. The advantage of Eq. (43) over Eq. (31) is that the numerator is independent of arbiriary phase factors in n) or m) neither need be single valued. On the other hand, Eq. (43) is inapplicable, for the reasons given above if the degenerate point lies on the surface 5. [Pg.15]

Consequently, Eqs. (43) and (59) are identical, for applications in a 3D parameter space, except that the vector product in the former is expressed as a commutator in the latter. Both are computed as diagonal elements of combinations of strictly off-diagonal operators and both give gauge independent results. Equally, however, both are subject to the limitations with respect to the choice of surface for the final integration that are discussed in the sentence following Eq. (43). [Pg.17]

This loop is iterated A i times to cover the interval At kiAT = At) to produce Note the Hessian/vector products in the second equation of... [Pg.248]

Abstract. We present novel time integration schemes for Newtonian dynamics whose fastest oscillations are nearly harmonic, for constrained Newtonian dynamics including the Car-Parrinello equations of ab initio molecular dynamics, and for mixed quantum-classical molecular dynamics. The methods attain favorable properties by using matrix-function vector products which are computed via Lanczos method. This permits to take longer time steps than in standard integrators. [Pg.421]

Some of the common manipulations that are performed with vectors include the scalar product, vector product and scalar triple product, which we will illustrate using vectors ri, T2 and r3 that are defined in a rectangular Cartesian coordinate system ... [Pg.31]

Dte that the vector product r2 x r is not the same as the vector product r x r2, as it rresponds to a vector in the opposite direction. The vector product is thus not commutative. [Pg.32]

The vector product and the scalar triple product can be conveniently written as matrix leterminants. Thus ... [Pg.34]

Alternatively in terms of the components of A and B, the vector product A x B can be expressed as the following determinant... [Pg.254]

The term involving jr ir = is the usual kinetic energy operator. The vector product (ji X ji) gives... [Pg.208]

In the matrix-by-vector product one postmultiplies an nxp matrix X with a p vector y which results in an n vector z ... [Pg.23]

Fig. 29.6. Schematic illustration of four types of special matrix products the matrix-by-vector product, the vector-by-matrix product, the outer product and the scalar product between vectors, respectively from top to bottom. Fig. 29.6. Schematic illustration of four types of special matrix products the matrix-by-vector product, the vector-by-matrix product, the outer product and the scalar product between vectors, respectively from top to bottom.
For the purpose of completeness, we also mention the vector product which is extensively used in physics and which is defined as ... [Pg.25]

The matrix-to-vector product can be interpreted geometrically as a projection of a pattern of points upon an axis. As we have seen in Section 29.4 on matrix products, if X is an nxp matrix and if v is a p vector then the product of X with v produces the n vector s ... [Pg.51]

In a general way, we can state that the projection of a pattern of points on an axis produces a point which is imaged in the dual space. The matrix-to-vector product can thus be seen as a device for passing from one space to another. This property of swapping between spaces provides a geometrical interpretation of many procedures in data analysis such as multiple linear regression and principal components analysis, among many others [12] (see Chapters 10 and 17). [Pg.53]

Thus, the vector C represents the product of the. vectors A and B such Jhat its length is given by C = ABsin 6. In the usual notation C = A x B Tnis operation is referred to as the vector product of the two vectors and in the jargon used in this application it is called die "cross product". It must then lie carefully distinguished from the dot product defined by Eq. (9). [Pg.40]

From fee definition of fee vector product given above, it is clear that fee magnitude of fee vector C in Eq. (22) is equal to the area of the parallelogram defined by fee vectors A and B which describe its sides. However, there are two problems associated wife this definition. First of all, the direction of fee vector C is ambiguous in fee absence of a convention. It is usually assumed, however, feat fee "right-hand rule" applies. Thus, if the first finger of the right... [Pg.40]

Tbe nojaiicm C = A aZ is used for the vector product in most texts in French. [Pg.40]

The vector product X x Y is somewhat more complicated in matrix notation. In the three-dimensional case, an antisymmetric (or skew symmetric) matrix can be constructed from the elements of the vector AT in the form... [Pg.87]

The vector product of V and the vector A is known as the curl or rotation of A. Thus in Cartesian coordinates,... [Pg.253]

Note that there are other possible ways to impose a time-dependent Bx. The one described in eqn (5.8) corresponds to a circularly polarized field initially aligned along the x-axis and rotating about the z-axis in a counterclockwise direction. The vector product of eqn (5.7) then becomes ... [Pg.94]

Note In Tables 4, 5, and 6, where more than one state belonging to the same irreducible representation is obtained from a given configuration their compositions are indicated in terms of the appropriate vector products. [Pg.61]


See other pages where Product vector is mentioned: [Pg.100]    [Pg.719]    [Pg.248]    [Pg.249]    [Pg.252]    [Pg.421]    [Pg.32]    [Pg.32]    [Pg.522]    [Pg.6]    [Pg.917]    [Pg.954]    [Pg.12]    [Pg.14]    [Pg.34]    [Pg.25]    [Pg.2]    [Pg.40]    [Pg.41]    [Pg.41]    [Pg.87]    [Pg.207]    [Pg.209]    [Pg.249]    [Pg.249]    [Pg.252]    [Pg.302]   
See also in sourсe #XX -- [ Pg.12 , Pg.14 ]

See also in sourсe #XX -- [ Pg.12 , Pg.14 ]




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