Motivation: I am currently in a rather uncomfortable spot in my Analysis studies. In class we introduced the Jordan measure in a very vague way, meaning no proofs, no examples. (Because next Semester we study the better Lebesgue-Measure theory)
I do understand the concepts of it as a generalization of the 1 Dimensional case.
That is, approximating a given bounded set $\Omega\subset \mathbb{R}^n$ from above and below by rectangles (boxes, simple sets) and if it happens that the smallest of all the approximations from above is equal to the largest of all the approximations from below, we say by definition that $\Omega$ is Jordan measurable.
However when it comes to applying said intuitive idea I run into troubles
Problem: Show that the set $\Omega := \lbrace (u,v) \in \mathbb{R}^2 \mid |u| + |v| \leq 1 \rbrace \subset \mathbb{R}^2$ is Jordan measurable.
My approach: Clearly the set is bounded, from below by $0$ and from above $1$. I don't know how to work with the definition as explained above in the motivation to show that said set is Jordan measurable.
The best thing I could do was to cheat my way around by computing the following picture:
The red line shows the boundary $\partial \Omega$ of the set. Since it is only a line segment in $\mathbb{R}^2$ it has Jordan measure zero respective to the topology in $\mathbb{R}^2$.
According to How to prove $E\subset R^n$ Jordan measurable is equivalent to $\bar{E}-E$ is Jordan measured null this would 'show' that $\Omega$ is Jordan measurable.
My question is if I can formalize this idea into an actual proof rather than my hand wavy explanation above.
Or even better, is it possible to show that $\Omega$ is Jordan measurable by just relying on the definition of above/below approximations and check the equality of the infimum and supremum? Because said definition is so far what I understand best, the iff statement linked is only covered in the $\implies$ direction in my course.