I am making this assertion in a proof, but are doubting wether it is true. The proof is about joint cumulative distributions of continuous random variables, but the proof is more about integration than probability.
If \begin{equation} \forall a\in \mathbb{R}, \int_{-\infty}^{a}f(x)dx = \int_{-\infty}^{a}g(x)dx \end{equation}
Where: \begin{equation} f:\mathbb{R} \to \mathbb{R}, g:\mathbb{R} \to \mathbb{R} \end{equation} (such that their integrals are well-defined)
Can we confidently state that? \begin{equation} f(x) = g(x) \end{equation}