Let $P$ be the vector space of real valued polynomials over $R$. For any polynomial in $P$ set $p(t)=\sum_{k=0}^n a_kt^k $ and $\rVert p \lVert=\sum_{k=0}^n |a_k| $. I am being asked if the following linear maps $l:P \rightarrow R $ and $T: P \rightarrow P$: $$ l(p)=\int_0^1 p(t)dt $$ and $$(Tp)(t)=\int_0^tp(s)ds $$ are continous and determine their norm, $\rVert l \lVert $ and $\rVert T \lVert$. Following the definition, i will need to find a constant $M$ such that, for example in the second case, $\rVert Tp \lVert\leq M\rVert p \lVert, \forall p\in P$. At the other hand, following a theorem, a linear map on a finite- dimensional normed vector space is bounded and continous. I know that the vector space $P$ is not finite dimensional. So i am not sure if this theorem applies here. I am also wondering how the unit ball or sphere looks like at the vector space of the polynomials in order to determine $\rVert l \lVert$ and $\rVert T \lVert$.
Can somebody give a comment or any proposal ? Thanks.