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24 Tensors

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         is non-singular) and in this case, [T]"  [T] = [T] [T]""  = [I]. Thus, the inverse of a tensor
         satisfies the following reciprocal relation:


         We can easily show (see Prob. 2B15) that for the tensor inverse the following relations are
         satisfied,



         and



           We note that if the inverse exists then we have the reciprocal relation that


         This indicates that when a tensor is invertible there is a one to one mapping of vectors
         a and b. On the other hand, if a tensor T does not have an inverse, then, for a given b, there
         are in general more than one a which transforms into b. For example, consider the singular
         tensor T = cd (the dyadic product of c and d, which does not have an inverse because its
         determinant is zero), we have


         Now, let h be any vector perpendicular to d (i.e., d • h = 0), then


         That is, all vectors a + h transform under T into the same vector b.

         2B10 Orthogonal Tensor

           An orthogonal tensor is a linear transformation, under which the transformed vectors
         preserve their lengths and angles. Let Q denote an orthogonal tensor, then by definition,
         | Qa | = | a | and cos(a,b) = cos(Qa,Qb) for any a and b, Thus,



         for any a and b.
           Using the definitions of the transpose and the product of tensors:



        Therefore,



         Since a and b are arbitrary, it follows that
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