14.1 Rotation of Vectors 261
reflects that thePμν(m)are ‘eigen-tensors’ of the tensorHμν. On the other hand,Hμν
can be represented as a linear combination of the projection tensors, viz.
Hμν=∑^1
m=− 1imPμν(m). (14.12)Some additional formulas involving second rank projection operators are:
hνhμaν =(
2
3
Pμν(^0 )+1
2
Pμν(^1 )+1
2
Pμν(−^1 ))
aν, (14.13)hνhκhμbνκ =(
3
5
Pμν(^0 )+8
15
Pμν(^1 )+8
15
Pμν(−^1 ))
bνκhκ, (14.14)whereaνandbμνare a vector and a second rank tensor.
14.1.3 Rotation Tensor for Vectors
With the help of the projection tensors, the rotation tensor for vectors can now be
expressed as
Rμν(φ)=∑^1
m=− 1Pμκ(m)(exp[φH])κν=∑^1
m=− 1exp[imφ]Pμν(m). (14.15)Decomposition into real and imaginary parts leads to
Rμν(φ)=Pμν(^0 )+cosφ(
Pμν(^1 )+Pμν(−^1 ))
+sinφi(
Pμν(^1 )−Pμν(−^1 ))
. (14.16)
Notice that
Pμν(^0 )=hμhν≡Pμν‖, Pμν(^1 )+Pμν(−^1 )=δμν−hμhν≡Pμν⊥, (14.17)correspond to the projection tensors onto the direction parallel and perpendicular to
h, denoted byP‖andP⊥, respectively. Furthermore, one has
i(
Pμν(^1 )−Pμν(−^1 ))
=Hμν. (14.18)Thus the rotation tensor also reads
Rμν(φ)=hμhν+sinφεμλνhλ+cosφ(δμν−hμhν). (14.19)