Symmetry is one of the most powerful tools in physics — not just for aesthetics, but for hard computational results. If a Hamiltonian has a symmetry, you can often conclude that entire blocks of its matrix representation vanish without doing any integrals. This problem works through a concrete discrete symmetry group to illustrate how.
Yes — the multiplication table is symmetric across the diagonal, meaning Dz(a)Dz(b)=Dz(b)Dz(a) for all elements. This is obvious from angle addition: a+b=b+a.
We can verify this by tracking how each operator permutes the four quadrant states. Define the action on an ordered tuple (a,b,c,d) representing which atom is in quadrants 1,2,3,4:
Mx{a,b,c,d}={b,a,d,c}Dz(2){a,b,c,d}={c,d,a,b}
Then:
Dz(2)Mx{1,2,3,4}=Dz(2){2,1,4,3}={4,3,2,1}
MxDz(2){1,2,3,4}=Mx{3,4,1,2}={4,3,2,1}
Same result — so [Mx,Dz(π)]=0, meaning they share simultaneous eigenstates.
Now label eigenstates by their parities: ∣ϵD,ϵM⟩ where ϵD=±1 is the Dz(2) eigenvalue and ϵM=±1 is the Mx eigenvalue. Consider the matrix element ⟨+,+∣V∣+,+⟩:
⟨+,+∣V∣+,+⟩=⟨+,+∣Dz(2)MxVMxDz(2)∣+,+⟩
Since Mx anticommutes with V and commutes with Dz(2):
This is consistent — not forced to zero. The matrix element can be nonzero.
The lesson: knowing how a perturbation transforms under the symmetry group of the Hamiltonian immediately tells you which matrix elements vanish — no integration required. This is the essence of selection rules in atomic physics, and of Wigner’s theorem in group theory.
Discrete Symmetry Groups: Rotations, Mirrors, and Vanishing Matrix Elements