Generalization of D'Alembert formula to include non continuous traveling impulses?

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We know that the classical, one dimensional wave equation \begin{equation*} u_{tt}= c^2 u_{xx} \end{equation*}
with initial conditions \begin{equation*} u(x,0)= f(x)\ , \qquad u_t(x,0)= g(x) \end{equation*} where $c>0$ is constant, have solutions given by D'Alambert formula: \begin{equation*} u(x, t)= \frac{1}{2}\big(f(x+ ct)+ f(x- ct) \big)+ \frac{1}{2c} \int_{x-ct}^{x+ct} g(s)\,ds \end{equation*} In the classical sense, that is, under some differentiability conditions of $f$ and $g$ (what are they ? $C^1,\ C^2$ ?) , $u$ is twice differentiable both with respect to $x$ and $t$ and satisfies the wave equation.

The same formula suggests that there might be other solutions as well, in a 'weak' sense, for example : $$u(x,t)= F(x-ct) + G(x+ct)$$ can be verified to describe physical wave functions even when $F, G$ are discontinuous.
$F$ describes a right traveling wave, and $G$ a left traveling wave.
It seems like in this case, $u$ satisfies the wave equation as a distribution (?)

I am looking for a good reference on this matter.
How is D'alembert formula generalized and how it is explained with distribution theory ?

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This is already answered in another post

Show that D'Alembert solution gives distributional solution to the wave-equation

It is indeed a distributional solution under far weaker conditions.