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I have to proof this:

If formula is a Levy process then for each formula the sample path formula is, with probability 1, continuous as s=t.

This is the proof: enter image description here

I don't understand the conclusion. Can someone explain to me how the proof ends? Is there an alternative way to do this?

Thanks

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  • $\begingroup$ Do you have a response to the answer below? $\endgroup$ Commented Dec 8, 2022 at 3:53
  • $\begingroup$ Sorry, I had surgery yesterday so I haven't been able to get out to read carefully yet your answer. Today or tomorrow I’ll tell you if it’s ok for me this proof. In the meantime, thanks a lot for your help! $\endgroup$
    – Ginger 17
    Commented Dec 8, 2022 at 10:41
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    $\begingroup$ Thank you for your response. Be well! $\endgroup$ Commented Dec 8, 2022 at 15:47

1 Answer 1

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$\newcommand{\R}{\mathbb R}\newcommand{\Q}{\mathbb Q}$This proof is insufficient (where did you take it from?).

Indeed, the logic at the end of the proof boils to down to

Proposition 1: Suppose that for some real $t>0$, some function $[0,\infty)\ni u\mapsto x_u\in\R$, and all $q\in\Q$ we have \begin{equation*} e^{iqx_s}\to e^{iqx_t} \tag{1}\label{1} \end{equation*} (as $s\uparrow t$). Then $x_s\to x_t$.

However, this proposition is false in general. E.g., suppose that \begin{equation*} x_s=x_t+2\pi\Big(\Big\lceil\frac1{t-s}\Big\rceil\Big)! \end{equation*} for some real $t>0$ and all $s\in[0,t)$. Then \eqref{1} holds for each $q\in\Q$, whereas $x_s\not\to x_t$ (as $s\uparrow t$).

(The rate of growth of $x_s$ to $\infty$ can be made arbitrarily slow by replacing $\frac1{t-s}$ by $g(t-s)$, where $g(u)$ grows to $\infty$ arbitrarily slowly as $u\downarrow0$.)


However, with the additional assumption that the function $(x_u)$ be locally bounded, Proposition 1 would be true. (See also the remark at the end of this answer.) Indeed, let \begin{equation*} y_s:=\frac{x_s-x_t}{2\pi}. \end{equation*} Then \eqref{1} can be rewritten as \begin{equation*} qy_s-k_{q,s}\to0 \tag{1a}\label{1a} \end{equation*} for each $q\in\Q$ (as $s\uparrow t$), where $k_{q,s}$ is an integer depending only on $q$ and $s$. Since the function $(x_u)$ is locally bounded, \eqref{1a} implies that without loss of generality (wlog) $2|k_{q,s}|<k_q$ for some integer $k_q$ depending only on $q$.

We want to show that $y_s\to0$. To obtain a contradiction, suppose the contrary. Then wlog $y_s\to c$ for some real $c\ne0$ (because the function $(x_u)$ be locally bounded). So, for any nonzero $q\in\Q$ wlog $k_{q,s}\ne0$ and hence \begin{equation*} k_{q,s}\sim qy_s \end{equation*} and, similarly and therefore, \begin{equation*} k_{q/k_q,s}\sim (q/k_q)y_s\sim k_{q,s}/k_q\in[-1/2,1/2], \end{equation*} which contradicts the condition that $k_{q/k_q,s}$ is a nonzero integer. $\quad\Box$

Remark: For $(x_u)$ to be locally bounded, it is enough that $(x_u)$ be right-continuous in $u\ge0$ and have finite left limits in $u>0$. Indeed, then for each real $t\ge0$ there is a neighborhood $U_t$ of $t$ in $[0,\infty)$ such that $(x_u)$ is bounded in $U_t$. Now the local boundedness of $(x_u)$ follows by the Heine--Borel lemma.

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  • $\begingroup$ I believe OP took it from galton.uchicago.edu/~lalley/Courses/385/LevyProcesses.pdf, but there the author did mention that the process is right continuous as an assumption. $\endgroup$ Commented Dec 6, 2022 at 22:28
  • $\begingroup$ @ThomasKojar : Thank you for your comment. However, in the counterexample above, $(x_s)$ is right-continuous, I think (or can easily be made right-continuous). $\endgroup$ Commented Dec 6, 2022 at 22:40
  • $\begingroup$ i mean cadlag (left limits too). $\endgroup$ Commented Dec 6, 2022 at 23:34
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    $\begingroup$ @ThomasKojar : Then the process is locally bounded and hence the "positive" part of the answer works. $\endgroup$ Commented Dec 7, 2022 at 0:45
  • $\begingroup$ @losif Pinelis ok I read your proof, but why if the process is locally bounded, can I say that y(s) converges to c? Because the function that is sin(1\x) for x=0 and 0 for x=0 with x in the interval [-1,1] is locally bounded but the limit does not exist in 0. Am I doing something wrong? Anyway, to say that y(s) converges to c can I exploit that my process is cadlag, right? $\endgroup$
    – Ginger 17
    Commented Dec 10, 2022 at 13:22

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