3.2 Spin Space 153
a mapping
<,>: C
2
× C
2
→ C
by
<φ,ψ>= φ
1
ψ
0
− φ
0
ψ
1
,
then the elements of SL(2, C) are precisely the matrices that preserve <,>.
Exercise 3.1.9 Verify the following properties of <,>.
1. <,> is bilinear, i.e., <φ,aψ+ bξ > = a<φ,ψ>+ b<φ,ξ>and
<aφ + bψ, ξ > = a<φ,ξ>+ b<ψ,ξ>for all a, b ∈ C and
φ, ψ, ξ ∈ C
2
.
2. <,> is skew-symmetric, i.e., <ψ,φ>= − <φ,ψ>.
3. <φ,ψ>ξ + <ξ,φ>ψ+ <ψ,ξ>φ=0forallφ, ψ, ξ ∈ C
2
.
With these observations as motivation we proceed in the next section with
an abstract definition of the underlying 2-dimensional complex vector space
ß whose multilinear functionals are “spinors”.
3.2 Spin Space
Spin space is a vector space ß over the complex numbers on which is defined
amap<,>:ß×ß → C which satisfies:
1. there exist φ and ψ in ß such that <φ,ψ>=0,
2. <ψ,φ>= − <φ,ψ>for all φ, ψ ∈ ß,
3. <aφ+ bψ, ξ > = a<φ,ξ>+ b<ψ,ξ>for all φ, ψ, ξ ∈ ßandall
a, b ∈ C,
4. <φ,ψ>ξ+ <ξ,φ>ψ+ <ψ,ξ>φ=0forallφ, ψ, ξ ∈ ß.
An element of ß is called a spin vector. The existence of a vector space of the
type described was established in Exercise 3.1.9.
Lemma 3.2.1 Each of the following holds in spin space.
(a) <φ,φ>=0 for every φ ∈ ß.
(b) <,> is bilinear, i.e., in addition to #3 in the definition we have
<φ,aψ+ bξ > = a<φ,ψ>+ b<φ,ξ>for all φ, ψ, ξ ∈ ß and
all a, b ∈ C.
(c) Any φ and ψ in ß which satisfy <φ,ψ>=0form a basis for ß. In
particular,dimß=2.
(d) There exists a basis {s
1
, s
0
} for ß which satisfies < s
1
, s
0
> =1=
− < s
0
, s
1
> (any such basis is called a spin frame for ß).
(e) If {s
1
, s
0
} is a spin frame and φ = φ
1
s
1
+ φ
0
s
0
= φ
A
s
A
, then φ
1
=
<φ,s
0
> and φ
0
= − <φ,s
1
>.
(f) If {s
1
, s
0
} is a spin frame and φ = φ
A
s
A
and ψ = ψ
A
s
A
, then
<φ,ψ>=
φ
1
ψ
1
φ
0
ψ
0
= φ
1
ψ
0
− φ
0
ψ
1
.