13Tensors and tensor fields

IA Vector Calculus



13.2 Tensor algebra
Definition
(Tensor addition)
.
Tensors
T
and
S
of the same rank can be added;
T + S is also a tensor of the same rank, defined as
(T + S)
ij···k
= T
ij···k
+ S
ij···k
.
in any coordinate system.
To check that this is a tensor, we check the transformation rule. Again, we
only show for n = 2:
(T + S)
0
ij
= T
0
ij
+ S
0
ij
= R
ip
R
jq
T
pq
+ R
ip
R
jq
S
pq
= (R
ip
R
jq
)(T
pq
+ S
pq
).
Definition
(Scalar multiplication)
.
A tensor
T
of rank
n
can be multiplied by
a scalar α. αT is a tensor of the same rank, defined by
(αT )
ij
= αT
ij
.
It is trivial to check that the resulting object is indeed a tensor.
Definition
(Tensor product)
.
Let
T
be a tensor of rank
n
and
S
be a tensor of
rank m. The tensor product T S is a tensor of rank n + m defined by
(T S)
x
1
x
2
···x
n
y
1
y
2
···y
m
= T
x
1
x
2
···x
n
S
y
1
y
2
···y
n
.
It is trivial to show that this is a tensor.
We can similarly define tensor products for any (positive integer) number of
tensors, e.g. for n vectors u, v ··· , w, we can define
T = u v ··· w
by
T
ij···k
= u
i
v
j
···w
k
,
as defined in the example in the beginning of the chapter.
Definition
(Tensor contraction)
.
For a tensor
T
of rank
n
with components
T
ijp···q
, we can contract on the indices
i, j
to obtain a new tensor of rank
n
2:
S
p···q
= δ
ij
T
ijp···q
= T
iip···q
Note that we don’t have to always contract on the first two indices. We can
contract any pair we like.
To check that contraction produces a tensor, we take the ranks 2
T
ij
example.
Contracting, we get
T
ii
,a rank-0 scalar. We have
T
0
ii
=
R
ip
R
iq
T
pq
=
δ
pq
T
pq
=
T
pp
= T
ii
, since R is an orthogonal matrix.
If we view
T
ij
as a matrix, then the contraction is simply the trace of
the matrix. So our result above says that the trace is invariant under basis
transformations as we already know in IA Vectors and Matrices.
Note that our usual matrix product can be formed by first applying a tensor
product to obtain M
ij
N
pq
, then contract with δ
jp
to obtain M
ij
N
jq
.