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Triple Products of Vectors

FIGURE 11.6 Inversion behavior of polar vector P and axial vector w. Axes and vectors before and after inversion are drawn. [Pg.211]

FIGURE 11.7 Triple scalar product as volume of parallelepiped base area BCsvaO, altitude = Acos p, volume = ABCsin0cos = A (B X C).  [Pg.211]

For three polar vectors, the triple scalar product changes sign upon inversion. Such a quantity is known as a pseudoscalar, in contrast to a scalar, which is invariant to inversion. [Pg.212]

You might also encounter the triple vector product A x (B x C), which is itself a vector quantity. This can be evaluated using the Levi-Civita representation (11.31). The i component of the triple product can be written as [Pg.212]

Since a sum containing a Kronecker delta reduces to a single term, we find [Pg.212]


In principal component analysis (PCA), a matrix is decomposed as a sum of vector products, as shown in Figure 1.6. The vertical vectors (following the object way) are called scores and the horizontal vectors (following the variable way) are called loadings. A similar decomposition is given for three-way arrays. Here, the array is decomposed as a sum of triple products of vectors as in Figure 1.7. This is the PARAFAC model. The vectors, of which there are three different types, are called loadings. [Pg.11]

Figure 1.7. In PARAFAC, a three-way array is decomposed into a sum of triple products of vectors. The vectors are called loadings. There are three different types called A,B and C for convenience. Figure 1.7. In PARAFAC, a three-way array is decomposed into a sum of triple products of vectors. The vectors are called loadings. There are three different types called A,B and C for convenience.

See other pages where Triple Products of Vectors is mentioned: [Pg.211]    [Pg.211]   


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