I am looking for intuition for Green function in terms of linear algebra.
I was satisfied with the intuition explained in the answer to this question until recently.
The linear algebra intuition my PDE professor gave me goes like this:
Let $\{e_k\}_{k=1}^n$ be the standard basis for $\mathbb R^n$ and $\langle\cdot,\cdot\rangle$ be the standard Euclidean inner product.
Consider a linear system $Lu=f$ where $u$ and $f$ are $n$ dimensional column vectors and $L$ is a $n\times n$ matrix. We want to solve for $u$.
A green function $G=\begin{bmatrix} G_1 & G_2 & \cdots & G_n \end{bmatrix}$ (this is a matrix) is a solution to $L^TG_k=e_k$.
One can find $k$th component of $u$ as follows:
$$ \begin{align*} \langle Lu, G_k\rangle &= \langle f, G_k\rangle \\ \langle u, L^TG_k\rangle &= \langle f, G_k\rangle \\ \langle u, e_k\rangle &= \langle G_k, f\rangle \\ u_k &= G_k^Tf \end{align*} $$
The solution $u$ is thus $u=\begin{bmatrix} u_1 & u_2 & \cdots & u_n \end{bmatrix}^T$.
This is very different from the answer in the linked page. I still don't get what is going on here? Why the Green function is sometimes defined as $L^T_k=e_k$? What's the purpose of computing the adjoint $L^T$?