da Camillo » 17/02/2007, 12:58
Finally, taking advantage of the suggestions……
*It is easy to show that $||.||_(1) $ and $||.||_(oo) $ are norms on $X $ since both satisfy the following conditions :
-$||x|| >=0 ;||x||=0 $ iff $x=0 $(Positivity).
-$||lambda*x|| = lambda*||x||; AA lambda in RR;AA x in X $ (Homogenity).
-$||x+y|| <= ||x|| +||y || ; AAx,y in X $ (Triangular inequality).
*$X $ is an infinite dimensional space: infact all polinomial functions on $[0,1]$ are a subset of $X$ and have dimension = n and no limit is fixed for n .
*Consider the identity map L such that $L(u ) = u $ ,$ AA u in X $.
L is linear but is not continuous .
Infact let us consider the sequence $(u_n)$ in $ X$ given by :
$u_n(x)= x^n; x in [0,1]$
$||u_n||_(1) = int_0^1|x^n|*dx = 1/(n+1) $ $rarr 0 $ for$n rarr oo$
But $ L(x_n)=x^n$ does not converge to $ 0 = L(0) $in $(X,||.||_(2))$ since :
$||u_n||_(2)= $ $max_(0,1) |x^n| =1 $, $AA n in NN $.
That is the sequence $(x^n)$ converges to $0$ in $(X,||.||_(1))$ while in $(X,||.||_(2)$ the sequence $L(x_n ) = x^n $ is always equal to $1$ ,$AA n in NN $ and does not converge to $0=L(0)$.
Camillo