Problem 1 (E12-6). (a) Let be a covariant -tensor on a finite-dimensional real vector space . Show that is the unique symmetric -tensor satisfying
for all . (b) Show that the symmetric product is associative: for all symmetric tensors ,
(c) Let be covectors on a finite-dimensional vector space. Show that their symmetric product satisfies
Proof) Clearly, the tensor satisfies for all . The crux of this problem is showing uniqueness; by linearity, it suffices to show that if a symmetric covariant -tensor satisfies for all , then .
Fixing any arbitrary basis of ; if we write , we have
This expression collapses to zero for any . Instead of attacking the algebra head-on we opt for induction on ; the case is trivial as if for all , clearly . Assuming , fixing any one of the s to zero and applying the case shows only coefficients of the form where is some permutation of can be nonzero; these are all identical as is symmetric. Thus, is forced to be zero, and (a) is complete.
(b) is a trivial corollary of (a) as is the unique symmetric -tensor satisfying
for all , and the same can be said of the RHS. Note this is also satisfied by the triple symmetric product , so we have .
(c) follows from the observation that, for any ,
As the is a group under the composition of permutations, the expression on the right is uniformly distributed across and is equivalent to the symmetric product .
Remark: It is a special property of symmetric tensors that they are entirely determined by the values . For instance, there are infinitely many alternating tensors, but for any the expression always evaluates to zero.
Problem 2 (E12-8). Let be a smooth -manifold, and let be a smooth covariant -tensor field on . If and are overlapping smooth charts on , we can write
Compute a transformation law expressing the component functions in terms of .
Proof) Fix any . The covariant -tensor is a multilinear functional on , and thus descends to a linear map from . “Decomposing” tuples of tangent vectors is a well-defined operation in this tensor product space.
It suffices to represent as a linear combination of , and thus it suffices to represent the vector as a linear combination of . Let be the identity diffeomorphism and be its Jacobian at with the domain in coordinates and the codomain in coordinates. Then,
Therefore,
and
Remark: Note that there is a canonical isomorphism between multilinear functionals on and linear functionals on the -abstract tensor product , and so the covariant -tensor space on can be identified with the space of linear functionals on ; we use this identification multiple times throughout this computation.
Remark 2: This transformation law can be easily generalized to mixed tensor fields by identifying the tensor space with and applying the inverse Jacobian to covectors.
Problem 3 (E12-12). Let be a smooth manifold and . Show that the Lie derivative operators on covariant tensor fields, for , are uniquely characterized by the following properties: (a) is linear over . (b) for . (c) for , . (d) for , .
Proof) The Lie derivative operator trivially satisfies all four properties. Assume some other operator satisfies all four; by (b), for all . Therefore, . Thus, for all . For any and -tensor ,
Thus, and are linear operators (by (a)) that agree on -tensors of the form . As these span , they are forced to be identical.
Remark: Similar to the axiomatic definition of determinants, the Lie derivative of tensor fields can be defined in a flow-independent way using these properties. This allows it to be generalized to vector fields on manifolds with boundary on which a flow does not necessarily exist.