A distribution is an element of the continuous dual space of some function space. Let us take the Schwartz space $\mathcal{S} := \mathcal{S}(\mathbb{R}^n)$ just as an example. A distribution $\phi \in \mathcal{S}'$ is then a map $$ \phi: \mathcal{S} \rightarrow \mathbb{C}.$$
My question is this: how do I interpret $\phi(x)$? I see this written a lot, but I don't understand how to work with it. What does for example $\phi(x) = \phi(-x)$ mean? The only thing I can think of is that $\phi(f) = \phi(\hat{f})$, where $\hat{f}(x) = f(-x)$.
And more specifically for the problem I'm working on: I have a distribution $$ \mathcal{W} : \mathcal{S}(\underbrace{\mathbb{R}^4 \times \dots \times \mathbb{R}^4}_{n \text{ times}}) \rightarrow \mathbb{C} $$
and then they say that $\mathcal{W}$ is translation invariant, i.e. $$\mathcal{W}(x_1 +a,\dots, x_n + a) = \mathcal{W}(x_1,\dots,x_n)$$ so it can be writthen as a distribution $\mathfrak{W}$ that only depends on the differences $x_1-x_2,\dots,x_{n-1} - x_n$: $$\mathcal{W}(x_1,\dots,x_n) = \mathfrak{W}(x_1-x_2,\dots,x_{n-1}-x_n).$$
How do I interpret this last line?
When you have a $C^{\infty}$ map $f : \mathbb{R}^n \to \mathbb{R}^m$ which is proper (it is automaticaly the case with a $C^{\infty}$ bijection like translations), you can define the pushforward of a distribution by $f$. If $u$ is a distribution on $\mathbb{R}^n$ then, $f_{!}u$ is a distribution on $\mathbb{R}^m$ defined by $f_!u(\varphi)=u(\varphi \circ f).$
So for example the (dangerous) notation $u(x) = u(-x)$ means that $f_!u = u$ with $f : \mathbb{R}^n \to \mathbb{R}^n, x \mapsto -x.$
The same occurs when considering your translation by $a$. Let us call it $\mu_a.$ The condition $$\mathcal{W}(x_1 +a,\dots, x_n + a) = \mathcal{W}(x_1,\dots,x_n)$$ means that $\mathcal{W}=\mu_{a!}\mathcal{W}$
Now define the map $g : (\mathbb{R}^4)^n \to (\mathbb{R}^4)^{n-1}, (x_1, ... ,x_n) \mapsto (x_1-x_2, ... , x_{n-1}-x_n).$ The last equality means that the condition $\mathcal{W}=\mu_{a!}\mathcal{W}$ implies that $\mathcal{W}=g^*\mathfrak{W}$ for a certain distribution $\mathfrak{W}$ on $(\mathbb{R}^4)^{n-1}$.