I have encounter the following question, which is probably naive for probabilists, but let me still ask it:
Let $\{X_t(\omega): t \in \mathbb{R}\}$ be a real valued càglàd process (that is ''continue à gauche et il existe limite à droite'' instead of the usual càdlàg assumption ), is the following function
$$ \limsup_{t \downarrow 0 } X_t(\omega)$$
measurable? If this is the case, would you please tell me a reference for it, if this is not the case, then what kinds of conditions on the process will such a limit function measurable ?
Thanks a lot.
If $(X_t)_{t \geq 0}$ is a càdlàg process, then it follows from the very definition of "càdlàg" that
$$\lim_{t \downarrow 0} X_t(\omega) = \limsup_{t \downarrow 0} X_t(\omega) = X_0(\omega).$$
Consequently, the $\limsup$ is measurable since $\omega \mapsto X_0(\omega)$ is measurable (as $(X_t)_{t \geq 0}$ is a stochastic process).
Edit (càglàd case) If a function $f$ is right-continuous at some point $x \in \mathbb{R}$, then we have
$$\limsup_{y \downarrow x} f(y) = \limsup_{n \to \infty} f(y_n)$$
for any sequence $y_n \downarrow x$. Since the (pointwise) $\limsup$ of a sequence of measurable functions is measurable, we conclude that
$$\limsup_{t \downarrow 0} X_t(\omega) = \limsup_{n \to \infty} X_{t_n}(\omega)$$
is measurable whenever $(X_t)_{t \geq 0}$ is a càglàd process. Here $t_n$ denotes an arbitrary sequence satisfying $t_n \downarrow 0$.