Contraction
The process of tensor product Eq. (7.15) creates tensors of higher degree from those of lower degrees,
We now describe an operation that lowers the degree of tensor. Firstly, consider a mixed tensor of type (1, 1). Its contraction is defined to be a scalar denoted given by
Although a basis of and its dual basis have been used in this definition, it is independent of the choice of basis, for if is any other basis then
In components, contraction is written
This is a basis-independent expression since
If , show that its contraction is
More generally, for a tensor of type with both and one can define its -contraction to be the tensor of type defined by
Show that the definition of is independent of choice of basis. The proof is essentially identical to that for the case
On substituting ., we arrive at an expression for the contraction in terms of components,
Let be a tensor of type (2, 3) having components . Set and . In terms of the components of ,
Typical contraction properties of the special mixed tensor defined in Example 7.10 are illustrated in the following formulae:
Write these equations in form.
Raising and lowering indices
Let be a real inner product space with metric tensor such that
By Theorem 5.1 the components are a non-singular matrix, so that . As shown in Example 7.8 there is a tensor whose components, written , form the inverse matrix . Given a vector , the components of the covector can be written
a process that is called lowering the index. Conversely, given a covector , the vector can be written in components
and is called raising the index. Lowering and raising indices in succession, in either order, has no effect as
This is important, for without this property, the convention of retaining the same kernel letter in a raising or lowering operation would be quite untenable.
Show that lowering the index on a vector is equivalent to applying the map in Example 7.6 to , while raising the index of a covector is equivalent to the map of Example 7.8.
The tensors and can be used to raise and lower indices of tensors in general, for example
It is strongly advised to space out the upper and lower indices of mixed tensors for this process, else it will not be clear which ‘slot’ an index should be raised or lowered into. For example
If no metric tensor is specified there is no distinction in the relative ordering of covariant and contravariant indices and they can simply be placed one above the other , as often done above, the contravariant indices may be placed first followed by the covariant indices. Given the capability to raise and lower indices, however, it is important to space all indices correctly. Indeed, by lowering all superscripts every tensor can be displayed in a purely covariant form. Alternatively, it can be displayed in a purely contravariant form by raising every subscript. However, unless the indices are correctly spaced we would not know where the different indices in either of these forms came from in the original ‘unlowered’ tensor.
It is important to note that while are components of a mixed tensor the symbol does not represent components of a tensor of covariant degree 2. We therefore try to avoid using this symbol in general tensor analysis. However, by Theorem 5.2, for a Euclidean inner product space with positive definite metric tensor it is always possible to find an orthonormal basis such that
In this case a special restricted tensor theory called cartesian tensors is frequently employed in which only orthonormal bases are permitted and basis transformations are restricted to orthogonal transformations. In this theory can be treated as a tensor. The inverse metric tensor then also has the same components and the lowered version of any component index is identical with its raised version,
Thus every cartesian tensor may be written with all its indices in the lower position, , since raising an index has no effect on the values of the components of the tensor.
In cartesian tensors it is common to adopt the summation convention for repeated indices even when they are both subscripts. For example in the standard vector theory of three dimensional Euclidean space commonly used in mechanics and electromagnetism, one adopts conventions such as
and
where the alternating symbol is defined by
It will be shown in Chapter 8 that with respect to proper orthogonal transformations is a cartesian tensor of type (0, 3)
Symmetries
A tensor of type (0, 2) is called symmetric if for all vectors , in while a tensor of type (0, 2) is called antisymmetric if
In terms of components show that is a symmetric tensor iff and is antisymmetric iff
Any tensor oftype (0, 2) can be decomposed into a symmetric and antisymmetric part, , where
It is immediate that these tensors are symmetric and antisymmetric respectively. Setting , this decomposition becomes
where
and
A similar discussion applies to tensors of type (2, 0), having components , but one cannot talk of symmetries of a mixed tensor.
Show that is not a tensor equation, since it is not invariant under basis transformations.
If is an antisymmetric tensor of type (0, 2) and a symmetric tensor of type (2, 0) then their total contraction vanishes,
since
Problems
Let be the components of an inner product with respect to a basis
(a) Find an orthonormal basis of the form such that and find the index of this inner product.
(b) If find its lowered components
(c) Express in terms of the orthonormal basis found above, and write out its lowered components with respect to that basis.
Let be a metric tensor on a vector space and define to be the tensor
where is a non-zero vector of and is a covector.
(a) Write out the components of the tensor .
(b) Evaluate the components of the following four contractions:
and show that .
(c) Show that . Hence show that if , then
(d) Show that then if and only if .
On a vector space of dimension let be a tensor of rank (1, 1), a symmetric tensor of rank (0, 2) and the usual ‘invariant tensor’ of rank (1, 1). Write out the components of the tensor
Perform the contraction of this tensor over and , using any available contraction properties of . Perform a further contraction over the indices and .
Show that covariant symmetric tensors of rank 2, satisfying , over a vector space of dimension form a vector space of dimension
(a) A tensor of type is called totally symmetric if is left unaltered by any interchange of indices. What is the dimension of the vector space spanned by the totally symmetric tensor on
(b) Find the dimension of the vector space of covariant tensors ofrank 3 having the cyclic symmetry