Let $M$ be the set of all $f\in L^1([0,1])$, relative to Lebesgue measure, such that $$\int_0^1f(t)\,dt=1.$$ Show that $M$ is a closed convex subset of $L^1([0,1])$ which contains infinitely many elements of minimal norm.
For convexity - Let $f,g \in M \subset L^1([0,1])$ and let $\alpha\geq0$ and $\beta\leq1$ such that $\alpha+\beta=1$. So, $$\int_0^1(\alpha f+\beta g)(t)dt=\alpha+\beta=1$$ so M is convex.
For closure it's sufficient to show that $\int_0^1f(t)\,dt$ is continuous since if f is continuous, then the preimage of a closed set is itself a closed set. note that under this function, the preimage of the set {1} is itself $M$ and {1} is closed. To see this, let {$f_n$} $\subset M$ and suppose $||f_n-f||_1$ goes to zero. Then, $$\int_0^1f_n(t)dt-\int_0^1f(t)dt=\int_0^1f_n(t)-f(t)dt\leq\int_0^1|f_n(t)-f(t)|dt=||f_n-f||_1$$ which goes to zero as $n$ goes to infinity. Thus continuity is established and so M is a closed convex subset.
Also I really don't have a good idea of how to start the minimal norm argument. I do know that there is at least one element of minimal norm once M is closed and convex, but infinitely many is eluding me... help please!