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Mathematical Methods for Physics and Engineering - Matematica.NET

Mathematical Methods for Physics and Engineering - Matematica.NET

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TENSORSPhysical examples involving second-order tensors will be discussed in the latersections of this chapter, but we might note here that, <strong>for</strong> example, magneticsusceptibility <strong>and</strong> electrical conductivity are described by second-order tensors.26.6 The algebra of tensorsBecause of the similarity of first- <strong>and</strong> second-order tensors to column vectors <strong>and</strong>matrices, it would be expected that similar types of algebraic operation can becarried out with them <strong>and</strong> so provide ways of constructing new tensors from oldones. In the remainder of this chapter, instead of referring to the T ij (say) as thecomponents of a second-order tensor T, we may sometimes simply refer to T ijas the tensor. It should always be remembered, however, that the T ij are in factjust the components of T in a given coordinate system <strong>and</strong> that T ij ′ refers to thecomponents of the same tensor T in a different coordinate system.The addition <strong>and</strong> subtraction of tensors follows an obvious definition; namelythat if V ij···k <strong>and</strong> W ij···k are (the components of) tensors of the same order, thentheir sum <strong>and</strong> difference, S ij···k <strong>and</strong> D ij···k respectively, are given byS ij···k = V ij···k + W ij···k ,D ij···k = V ij···k − W ij···k ,<strong>for</strong> each set of values i,j,...,k.ThatS ij···k <strong>and</strong> D ij···k are the components oftensors follows immediately from the linearity of a rotation of coordinates.It is equally straight<strong>for</strong>ward to show that if the T ij···k are the components ofa tensor, then so is the set of quantities <strong>for</strong>med by interchanging the order of (apair of) indices, e.g. T ji···k .If T ji···k is found to be identical with T ij···k then T ij···k is said to be symmetricwith respect to its first two subscripts (or simply ‘symmetric’, <strong>for</strong> second-ordertensors). If, however, T ji···k = −T ij···k <strong>for</strong> every element then it is an antisymmetrictensor. An arbitrary tensor is neither symmetric nor antisymmetric but can alwaysbe written as the sum of a symmetric tensor S ij···k <strong>and</strong> an antisymmetric tensorA ij···k :T ij···k = 1 2 (T ij···k + T ji···k )+ 1 2 (T ij···k − T ji···k )= S ij···k + A ij···k .Of course these properties are valid <strong>for</strong> any pair of subscripts.In (26.20) in the previous section we had an example of a kind of ‘multiplication’of two tensors, thereby producing a tensor of higher order – in that case twofirst-order tensors were multiplied to give a second-order tensor. Inspection of(26.21) shows that there is nothing particular about the orders of the tensorsinvolved <strong>and</strong> it follows as a general result that the outer product of an Nth-ordertensor with an Mth-order tensor will produce an (M + N)th-order tensor.938

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