| 31. | Where is the-th column vector of the product matrix and is the-th column vector of the matrix.
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| 32. | Where is the-th column vector of the product matrix and is the-th column vector of the matrix.
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| 33. | In some advanced contexts, a row and a column vector have different meaning; see covariance and contravariance of vectors.
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| 34. | Let V = k ^ n be the space of rank n column vectors over k, and form the tensor power
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| 35. | In bra ket notation, these easily arrange into the components of a vectorEach } } is usually identified as a column vector
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| 36. | Eigenfunctions can be expressed as column vectors and linear operators can be expressed as matrices, although they may have infinite dimensions.
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| 37. | Recalling that point coordinates are written as column vectors and line coordinates as row vectors, we may express this polarity by:
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| 38. | The column vectors of " U " are the eigenvectors of " A " and they are orthonormal.
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| 39. | If these were three dimensional instead, then those 5d column vectors would come to life as points in projective four space.
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| 40. | I think the idea is that column vectors would be indexed with raised indices and row vectors with lowered indices with tensors.
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