As the title says, here's my "proof":
Let U be some orthogonal matrix:
Uᵀ = U⁻¹
∴ U Uᵀ = Uᵀ U = I
Considering the ijth element:
(U Uᵀ)ᵢⱼ = (Uᵀ U)ᵢⱼ = δᵢⱼ
∑UᵢₖUᵀₖⱼ = ∑UᵀᵢₖUₖⱼ = δᵢⱼ
∑UᵢₖUⱼₖ = ∑UₖᵢUₖⱼ = δᵢⱼ
The scalar product between two vectors is given by ⟨a,b⟩ = ∑aᵢ*bᵢ
We want to get ⟨Uⱼ,Uᵢ⟩ = ⟨Uⁱ,Uʲ⟩ = δᵢⱼ for orthonormality to be satisfied in the rows and columns of U.
But this isn't what I have, I'm only able to get the complex conjugate for when U is real (unitary) but not for the general case of orthogonal maps.
In real spaces, unitary = orthogonal because taking the conjugate of a real value returns itself. In complex spaces, if we define orthogonal to be taking the hermitian conjugate instead of just the transpose then once again unitary = orthogonal. So it seems as if we have two different terms to describe the same thing
– David Dec 21 '22 at 06:22