Suppose that $f$ and $g$ are both real-valued functions of bounded variation on $[-\infty,\infty]$. I have to estimate $$I :=\int_{-\infty}^\infty f\,\mathrm dg.$$ Do we have the estimate $$\vert I\vert \leq \Vert f\Vert_\infty\cdot\Vert g\Vert_\infty,$$ where $\Vert\cdot\Vert_\infty$ denotes the $\sup$-norm? Of course, this estimate is not useful unless $f$ or $g$ are bound, but I am willing to assume boundedness (as far as I know, bounded variation does not imply boundedness on all of $[-\infty,\infty]$).
I am not very experienced with functions of bounded variation, which makes it difficult to come up with a solution. My idea was: $$\vert I\vert = \left\vert\int_{-\infty}^\infty f\,\mathrm dg\right\vert \leq \int_{-\infty}^\infty\vert f\vert\,\mathrm dg \leq \int_{-\infty}^\infty \Vert f\Vert_\infty\,\mathrm dg = \Vert f\Vert_\infty g.$$ But this has to be false as the left hand side is a real number, while the right hand side is a function. Moreover, the right hand side can be negative, while the right can't (despite the inequality!). I suppose that the triangle inequality is the issue. But, perhaps, is the above estimate still correct and it's just my appraoch that is flawed.

