tensor transformations
The present entry employs the terminology and notation definedand described in the entry on tensor arrays and basic tensors. To keep thingsreasonably self contained we mention that the symbol refersto the vector space of type tensor arrays, i.e. maps
where is some finite list ofindex labels, and where is a field. The symbols refer to the column and row vectors giving thenatural basis of and , respectively.
Let and be two finite lists of equal cardinality, and let
be a linear isomorphism. Everysuch isomorphism is uniquely represented by an invertible matrix
with entries given by
In other words, theaction of is described by the following substitutions
(1) |
Equivalently, the action of is given by matrix-multiplicationof column vectors in by .
The corresponding substitutions relations for the type tensorsinvolve the inverse matrix andtake the form11The above relations describe the action of the dual homomorphism of theinverse
transformation
(2) |
The rules for type substitutions are what they are, because ofthe requirement that the and remain dual baseseven after the substitution. In other words we want the substitutionsto preserve the relations
where the left-hand side of the above equation features the innerproduct and the right-hand side the Kronecker delta. Given that thevector basis transforms as in (1) and given the aboveconstraint, the substitution rules for the linear form basis, shown in(2), are the only such possible.
The classical terminology of contravariant and covariant indices ismotivated by thinking in term of substitutions. Thus, suppose weperform a linear substitution and change a vector, i.e. a type tensor, into a vector . The indexedvalues of the former and of the latter are related by
(3) |
Thus, we seethat the “transformation rule” for indices is contravariant to thesubstitution rule (1) for basis vectors.
In modern terms, this contravariance is best described by saying thatthe dual space space construction is a contravariant functor
22See the entry on the dual homomorphism.. In otherwords, the substitution rule for the linear forms, i.e. the type tensors, is contravariant to the substitution rule forvectors:
(4) |
in full agreement with the relation shown in (2).Everything comes together, and equations (3) and(4) are seen to be one and the same, once we remarkthat tensor array values can be obtained by contracting withcharacteristic arrays. For example,
Finally we must remark that the transformation rule for covariantindices involves the inverse matrix . Thus if is transformed to a theindices will be related by
The most general transformation rule for tensor array indices istherefore the following: the indexed values of a tensor array and the values of the transformed tensor array are related by
for all possible choice of indicesDebauche of indices, indeed!