Indefinite Integral of a Probability Density Function

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I'm tying myself in knots on something seemingly simple, and I'm not sure if I'm just missing something obvious. However...

Why is that:

$\int f(x) dx = F_x(x) - 1$

where does the constant $-1$ come from exactly?

By definition:

$\int_{-\infty}^{x} f(x) dx = F_x(x)$

But it is lost on me how the indefinite integral is how it is?

Thanks to anyone that can shed some light.

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The proof you are reading (I assume) starts by trying to evaluate $$ \int_{-\infty}^\infty x\,f(x)\,dx $$ using integration by parts. In order to do this, we need to choose two functions $u(x)$ and $v(x)$ such that $$ x\, f(x)\,dx=u\,dv=u(x)\,v'(x)\,dx $$ The split which is most convenient for this problem is $$ u(x)=x,\qquad v'(x)=f(x) $$ Since $v'(x)=f(x)$, integrating both sides implies $$v(x)=\int f(x)\,dx +C$$ Furthermore, we know that $F_X(x)=\int_{-\infty}^x f(x)$, so $F_X(x)$ is an antiderivative of $f$. Plugging this into the above, we get $$ v(x)=F_X(x)+C $$ However, you can choose $C$ to be whatever you want. The point is, the author of the proof chose $C=-1$, because it happened to be the most convenient choice for completing the proof.


Note that the equation $$ \int f(x)\,dx =F_X(x)-1 $$ you wrote is not true! The indefinite integration symbol $\int f(x)\,dx$ refers to the entire suite of functions whose derivative is equal to $f$. What you can say is that $F_X(x)-1$ is an antiderivative of $f(x)$.