Finding the norm of $x \in \mathbb{R}^2$ if the unit ball is defined in a specific way

I need to find the norm of $x \in \mathbb{R}^2$ if the unit ball is defined by this inequality:

$B=(\begin{pmatrix} x_1\\ x_2 \end{pmatrix}: -a_1\leq x_1\leq a_1, -a_2\leq x_2\leq a_2 )$.

What exactly I am asked to do? Clearly $|x_1| \leq a_1$ and $|x_2| \leq a_2$ so any norm is smaller or equal to $\sqrt{a_1^2+a_2^2}$.

Thanks a lot!

Hint: the unit ball $B$ consists of all points $(x_1,x_2)\in \mathbb{R}^2$ such that $$\max \left(\frac{|x_1|}{a_1},\frac{|x_2|}{a_2}\right) \le 1$$
Hint: You want a function $p:\mathbb{R}^2 \to \mathbb{R}$ which sends any point on the boundary of $B$ to $1$, and where $p(k\boldsymbol{v}) = |k|p(\boldsymbol{v})$ for real $k$.
Hint: If $(x,y)$ is non-zero and not on the boundary of your unit ball, then it lies in the subspace of an (essentially) unique vector on the boundary of the unit ball.