Let $S=\{(1,0,i),(1,2,1)\}$ in $\mathbb{C}^3$. What is the method used to find a basis for $S^{\perp}$?
EDIT$^1$:
I think this bit of literature from Gockenbach's Finite-Dimensional Linear Algebra will be of use here:

EDIT$^2$:
Alright, so I'm reading here in Cohn, not that that matters, and it is stated in more or less the same way that Gockenbach put it that "[g]iven any subset $X$ of $V$, we again define $$X^{\perp}=\{y\in V ~| ~\langle x,y \rangle = 0~\text{for all}~ x\in X\}."$$
So this would then mean that I'm trying to find $$S^{\perp}=\{y\in \mathbb{C}^3 ~|~ \langle x,y \rangle = 0~\text{for all}~x\in S\}.$$ I suspect that the vector $y$ is of the form $$ \pmatrix{a_1+ib_1\\a_2+ib_2\\a_3+ib_3},$$ and so this would mean that I'm looking to solve the system $$\langle \pmatrix{1\\0\\i} , \pmatrix{a_1+ib_1\\a_2+ib_2\\a_3+ib_3} \rangle=0$$ $$\langle \pmatrix{1\\2\\1} , \pmatrix{a_1+ib_1\\a_2+ib_2\\a_3+ib_3} \rangle=0,$$ right?
EDIT$^3$:
No, that can't be right. Wait, maybe it is because I know that if $S$ is a subspace of $\mathbb{C}^3$, then $\dim(\mathbb{C}^3)=\dim(S)+\dim(S^{\perp})$. Hence, $\dim(S^{\perp})=\dim(\mathbb{C}^3)-\dim(S)=3-2=1$, right? I think what makes this worse is that the underlying field is $\mathbb{C}$.
In $\mathbb{R}^3$ one answer is "cross product". The formula works in $\mathbb{C}^3$ for the same inner product, and with some conjugation it should also work for the Hermitian inner product, which is the more common meaning of orthogonality in complex vector spaces.