expectation of supremum Hello,
Suppose $(X_{n}(t))_{n\geq 1}$ is a sequence of real valued stochastic processes, and $T>0$ a fixed number.
Do we have the following implication ?
$\displaystyle{ \lim_{n \to \infty} \sup_{t\in[0,T]}} \mathbb{E}[|X_n(t)|] =0$ implies $\displaystyle{ \lim_{n \to \infty}  \mathbb{E}[\sup_{t\in[0,T]}}|X_n(t)|] =0$
If not, what are the weakest conditions on $X_n(t)$ such that the above implication is true ?

Edit 2 : is the implication true if
\begin{equation}
\mathbb{E}\left[\displaystyle{\sup_{n>0}}\ |X_n(t+h)-X_n(t)|\right]\leq c(h)
\end{equation}
with $\displaystyle{\lim_{h\to 0}}\ c(h)=0$

Edit 1 : is the implication true if \begin{equation}
\displaystyle{\sup_{n>0}}\ \mathbb{E}\left[|X_n(t+h)-X_n(t)|\right]\leq c(h)
\end{equation}
with $\displaystyle{\lim_{h\to 0}}\ c(h)=0$. Proven false by Jeff Schenker (cf below).
 A: This is false even with your edit.  Here is a counter example with $T=1$.
Let $j$ be a random integer chosen uniformly from $\{0,\ldots,n-1\}$.  Let $X_n(t)$ be a piecewise linear function on $[0,1]$ as follows:


*

*$X_n(t)=0$ if $t\not \in J_n$ where $J_n=[\frac{j}{n},\frac{j+1}{n}]$. 

*If $t\in J_n$ then the graph of $X_n(t)$ has a  "tent shape": it vanishes at each endpoint and increases linearly with slope $2n$ as we move toward the midpoint so that it takes value $1$ at the midpoint.


The resulting function $X_n(t)$ is piecewise linear on $[0,1]$, bounded by $1$ and the slope of any linear segment is bounded by $2n$.  Then


*

*For each $t$, $\mathbb{E}[|X_n(t)|]\le \frac{1}{n}$  since $X_n(t)\neq 0$ only with probability $\frac{1}{n}$ and $0\le X_n(t)\le 1$. 

*$\mathbb{E}[\sup_t |X_n(t)|]=1$ since $\sup_t |X_n(t)|=1$ for every outcome.  

*$ \mathbb{E}[|X_n(t+h)-X_n(t)|]\le C h $ where $C$ is a constant independent of $n$, since $|X_n(t+h)-X_n(t)|\neq 0$ only with probability less than $\frac{c}{n}$ and is bounded by $2 n h$ for every outcome.

