You must study about product states, product space of two (linear) spaces, product of linear transformations etc (product symbol ′⊗′′⊗′)
χ+(1)χ+(2)≡χ+(1)⊗χ+(2)
χ+(1)χ+(2)≡χ+(1)⊗χ+(2)(01)
Sz−tot=S1z+S2z≡(S1z⊗I2)+(I1⊗S2z)Sz−tot=S1z+S2z≡(S1z⊗I2)+(I1⊗S2z)(02)
Sz−totχ+(1)χ+(2)=[S1z+S2z]χ+(1)χ+(2)≡[(S1z⊗I2)+(I1⊗S2z)][χ+(1)⊗χ+(2)]=(S1z⊗I2)[χ+(1)⊗χ+(2)]+(I1⊗S2z)[χ+(1)⊗χ+(2)]=[S1zχ+(1)]⊗χ+(2)+χ+(1)⊗[S2zχ+(2)]
Sz−totχ+(1)χ+(2)=[S1z+S2z]χ+(1)χ+(2)≡[(S1z⊗I2)+(I1⊗S2z)][χ+(1)⊗χ+(2)]=(S1z⊗I2)[χ+(1)⊗χ+(2)]+(I1⊗S2z)[χ+(1)⊗χ+(2)]=[S1zχ+(1)]⊗χ+(2)+χ+(1)⊗[S2zχ+(2)](03)
A representation :
χ+(1)=[ξ1ξ2],χ+(2)=[η1η2]⟹χ+(1)⊗χ+(2)=[ξ1η1ξ1η2ξ2η1ξ2η2]
χ+(1)=[ξ1ξ2],χ+(2)=[η1η2]⟹χ+(1)⊗χ+(2)=⎡⎣⎢⎢⎢⎢ξ1η1ξ1η2ξ2η1ξ2η2⎤⎦⎥⎥⎥⎥(04)
Now
S1z=[a11a12a21a22],I2=[1001]⇒S1z⊗I2=[a11a12a21a22]⊗[1001]=[a11⋅[1001]a12⋅[1001]a21⋅[1001]a22⋅[1001]]⇒S1z⊗I2=[a110a1200a110a12a210a2200a210a22]S1z=[a11a21a12a22],I2=[1001]⇒S1z⊗I2=[a11a21a12a22]⊗[1001]=⎡⎣⎢⎢⎢⎢⎢⎢a11⋅[1001]a21⋅[1001]a12⋅[1001]a22⋅[1001]⎤⎦⎥⎥⎥⎥⎥⎥⇒S1z⊗I2=⎡⎣⎢⎢⎢a110a2100a110a21a120a2200a120a22⎤⎦⎥⎥⎥(05)
and
I1=[1001],S2z=[b11b12b21b22]⇒I1⊗S2z=[1001]⊗[b11b12b21b22]=[1⋅[b11b12b21b22]0⋅[b11b12b21b22]0⋅[b11b12b21b22]1⋅[b11b12b21b22]]⇒I1⊗S2z=[b11b1200b21b220000b11b1200b21b22]I1=[1001],S2z=[b11b21b12b22]⇒I1⊗S2z=[1001]⊗[b11b21b12b22]=⎡⎣⎢⎢⎢⎢⎢⎢1⋅[b11b21b12b22]0⋅[b11b21b12b22]0⋅[b11b21b12b22]1⋅[b11b21b12b22]⎤⎦⎥⎥⎥⎥⎥⎥⇒I1⊗S2z=⎡⎣⎢⎢⎢b11b2100b12b220000b11b2100b12b22⎤⎦⎥⎥⎥(06)
From equations (05) and (06)
Sz−tot=(S1z⊗I2)+(I1⊗S2z)=[(a11+b11)b12a120b21(a11+b22)0a12a210(a22+b11)b120a21b21(a22+b22)]Sz−tot=(S1z⊗I2)+(I1⊗S2z)=⎡⎣⎢⎢⎢⎢(a11+b11)b21a210b12(a11+b22)0a21a120(a22+b11)b210a12b12(a22+b22)⎤⎦⎥⎥⎥⎥(07)
If for example
S1z=12[100−1],S2z=12[100−1]S1z=12[100−1],S2z=12[100−1](08)
then
Sz−tot=(S1z⊗I2)+(I1⊗S2z)=[100000000000000−1]Sz−tot=(S1z⊗I2)+(I1⊗S2z)=⎡⎣⎢⎢⎢100000000000000−1⎤⎦⎥⎥⎥(09)
The matrix in (09) is already diagonal with eigenvalues 1,0,0,-1. Rearranging rows and columns we have
S′z−tot=[000001000000000−1]=[S(j=0)z01×303×1S(j=1)z]S′z−tot=⎡⎣⎢⎢⎢⎢000001000000000−1⎤⎦⎥⎥⎥⎥=⎡⎣S(j=0)z03×101×3S(j=1)z⎤⎦(10)
because, as could be proved
(1), the product 4-dimensional Hilbert space is the
direct sum of two orthogonal spaces : the 1-dimensional space of the angular momentum
j=0j=0 and the 3-dimensional space of the angular momentum
j=1j=1 :
2⊗2=1⊕32⊗2=1⊕3(11)
In general for two independent angular momenta
jαjα and
jβjβ, living in the
(2jα+1)−(2jα+1)− dimensional and
(2jβ+1)−(2jβ+1)− dimensional spaces
HαHα and
HβHβ respectively, their coupling is achieved by constructing the
(2jα+1)⋅(2jβ+1)−(2jα+1)⋅(2jβ+1)− dimensional product space
HfHf
Hf≡Hα⊗HβHf≡Hα⊗Hβ(12)
Then the product space
HfHf is expressed as the
direct sum of
nn mutually orthogonal subspaces
Hρ(ρ=1,2,⋯,n−1,n)Hρ(ρ=1,2,⋯,n−1,n)
Hf≡Hα⊗Hβ=H1⊕H2⊕⋯⊕Hn=ρ=n⨁ρ=1HρHf≡Hα⊗Hβ=H1⊕H2⊕⋯⊕Hn=⨁ρ=1ρ=nHρ(13)
where the subspace
HρHρ corresponds to angular momentum
jρjρ and has dimension
dim(Hρ)=2⋅jρ+1dim(Hρ)=2⋅jρ+1(14)
with
jρ=|jβ−jα|+ρ−1,ρ=1,2,⋯,n−1,nn=2⋅min(jα,jβ)+1jρn=|jβ−jα|+ρ−1,ρ=1,2,⋯,n−1,n=2⋅min(jα,jβ)+1(15a)(15b)
Equation (13) is expressed also in terms of the dimensions of spaces and subspaces as :
(2jα+1)⊗(2jβ+1)=ρ=n⨁ρ=1(2jρ+1)(2jα+1)⊗(2jβ+1)=⨁ρ=1ρ=n(2jρ+1)(16)
Equation (11) is a special case of equation (16) :
jα=12,jβ=12⟹j1=0,j2=1jα=12,jβ=12⟹j1=0,j2=1(17)
(1) the square of total angular momentum S2S2 expressed in the basis of its common with Sz−totSz−tot eigenvectors has the following diagonal form :
S′2=[0000020000200002]=[(S′2)(j=0)01×303×1(S′2)(j=1)]
S′2=⎡⎣⎢⎢⎢⎢0000020000200002⎤⎦⎥⎥⎥⎥=⎡⎣⎢⎢⎢(S′2)(j=0)03×101×3(S′2)(j=1)⎤⎦⎥⎥⎥(10')
since for
S1x=12[0110],S2x=12[0110]S1x=12[0110],S2x=12[0110](18)
S1y=12[0−ii0],S2y=12[0−ii0]S1y=12[0i−i0],S2y=12[0i−i0](19)
we have
Sx−tot=(S1x⊗I2)+(I1⊗S2x)=12[0110100110010110]Sx−tot=(S1x⊗I2)+(I1⊗S2x)=12⎡⎣⎢⎢⎢0110100110010110⎤⎦⎥⎥⎥(20)
Sy−tot=(S1y⊗I2)+(I1⊗S2y)=12[0−i−i0i00−ii00−i0ii0]Sy−tot=(S1y⊗I2)+(I1⊗S2y)=12⎡⎣⎢⎢⎢0ii0−i00i−i00i0−i−i0⎤⎦⎥⎥⎥(21)
and consequently
S2x−tot=14[0110100110010110]2=12[1001011001101001]S2y−tot=14[0−i−i0i00−ii00−i0ii0]2=12[100−101100110−1001]S2z−tot=[100000000000000−1]2=[1000000000000001]S2x−totS2y−totS2z−tot=14⎡⎣⎢⎢⎢0110100110010110⎤⎦⎥⎥⎥2=12⎡⎣⎢⎢⎢1001011001101001⎤⎦⎥⎥⎥=14⎡⎣⎢⎢⎢0ii0−i00i−i00i0−i−i0⎤⎦⎥⎥⎥2=12⎡⎣⎢⎢⎢100−101100110−1001⎤⎦⎥⎥⎥=⎡⎣⎢⎢⎢100000000000000−1⎤⎦⎥⎥⎥2=⎡⎣⎢⎢⎢1000000000000001⎤⎦⎥⎥⎥(22x)(22y)(22z)
From
S2tot=S2x−tot+S2y−tot+S2z−totS2tot=S2x−tot+S2y−tot+S2z−tot(23)
we have finally
S2tot=[2000011001100002]S2tot=⎡⎣⎢⎢⎢2000011001100002⎤⎦⎥⎥⎥(24)
For its eigenvalues
λλ
det(S2tot−λI4)=|2−λ00001−λ10011−λ00002−λ|=−λ(2−λ)3det(S2tot−λI4)=∣∣∣∣∣∣2−λ00001−λ10011−λ00002−λ∣∣∣∣∣∣=−λ(2−λ)3(25)
So the eigenvalues of
S2totS2tot are: the eigenvalue
λ1=0=j1(j1+1)λ1=0=j1(j1+1) with multiplicity 1 and the eigenvalue
λ2=2=j2(j2+1)λ2=2=j2(j2+1) with multiplicity 3.
Marc C