Definition
If $V$ is a finite dimensional vector space then we say that the norm $||\cdot||_1$ and $||\cdot||_2$ are equivalent if and only if there exist two positive constant $m$ and $M$ such that $$ m||v||_1\le||v||_2\le M||v||_2 $$ for any $v\in V$.
Lemma
If $V$ is a finite dimensional vector space then the function $||\cdot||_\infty:V\rightarrow\Bbb R^+_0$ defined through the condition $$ ||v||_\infty:=\max_{i=1,...,n}|v_i| $$ is a norm in $V$.
Theorem
If $V$ is a finite dimensional vector space then all norm in $V$ are equivalent.
Clearly if $||\cdot||$ is a norm in $V$ then by triangle inequality $$ ||v||\le M\cdot||v||_\infty $$ where $M:=\max_{i=1,...,n}||e_i||$ for any basis $\mathcal{B}:=\{e_1,...,e_n\}$.
Unfortunately I can't prove the other inequality. So could someone help me, please?