Skip to main content
6 votes
Accepted

Independent stationary increment process but with finite propagation speed

If by "an independent stationary increment process" you mean "a stochastic process with independent, stationary increments", that is a Lévy process, then the answer is: of course, ...
Iosif Pinelis's user avatar
5 votes

Besov regularity of càdlàg functions?

(This is not a complete answer, someone more experience in Besov spaces is welcome to improve it). I do not think there is much relation between these two concepts. Obviously, $D(\mathbb{R})$ only ...
Mateusz Kwaśnicki's user avatar
4 votes
Accepted

Characteristic function and moments

The answers to your questions are no and no. Question 1: Let $X$ have the standard double exponential distribution, so that the pdf $p_X$ of $X$ is given by $p_X(x)=\frac12\,e^{-|x|}$ for real $x$. ...
Iosif Pinelis's user avatar
4 votes
Accepted

A question about the proof of the Levy-Khintchine representation Theorem

$\newcommand\R{\mathbb R}\newcommand\ip[1]{\langle #1 \rangle}$In these notes, two related definitions of truncation functions are given. In Definition 5.6, a truncation function is defined as a ...
Iosif Pinelis's user avatar
4 votes
Accepted

Stationary Distribution of Langevin Dynamics driven by Lévy Process

There are several generalizations of the Brownian case results to general L'evy processes. For instance, under a classical log-concave assumption on $U$ we have a convergence to equilibrium in ...
Fabrice Baudoin's user avatar
3 votes
Accepted

Can we show that the characteristic function of an infinitely divisible probability measure has no zeros

$\newcommand\vpi\varphi\newcommand\R{\mathbb R}$ The approach involving (4) will not work, because Lévy's continuity theorem will guarantee that the pointwise limit of characteristic functions (c.f.'...
Iosif Pinelis's user avatar
3 votes
Accepted

Simulation of Lévy walk

Indeed, the Lévy flight is a random walk where the step increments $\nu$ are i.i.d. with a Lévy distribution, $p(\nu)\rightarrow 1/\nu^{1+\alpha}$ for $\nu\rightarrow\infty$, with exponent $0<\...
Carlo Beenakker's user avatar
3 votes
Accepted

translation invariance of expectation value of hit counting variable for Lévy process

No, this is not true is general. For instance, if $(X_t)$ is a Poisson process of intensity (say) $\lambda=1$, then $$M_u(a,s)=\lfloor X_{u+s}/a\rfloor - \lceil X_u/a\rceil + 2.$$ So, $$EM_{1/2}(2,2)=...
Iosif Pinelis's user avatar
2 votes
Accepted

Existence of unique convolution semigroups of probability measures on more general spaces then $\mathbb R^d$

A quick Google search on "infinitely divisible" and "Banach space" leads to Linde's Probability in Banach Spaces: Stable and Infinitely Divisible Distributions (John Wiley & ...
Mateusz Kwaśnicki's user avatar
2 votes
Accepted

Existence of the differential entropy for infinitely divisible laws

For real $t>0$, let \begin{equation} p_t:=e^{-t}e^{*tf}*g_t:=e^{-t}\sum_{n=0}^\infty\frac{t^n f^{*n}}{n!}*g_t, \tag{0} \end{equation} where $f$ is the (bounded by $c:=1/e$) pdf given by \begin{...
Iosif Pinelis's user avatar
2 votes
Accepted

If $(\exp(\mu_n))_{n\in\mathbb N}$ is weakly convergent, is the normalized sequence convergent as well?

$\newcommand\R{\mathbb R}$The answer to the second question (and hence to the first one) is no. Indeed, let $E:=\R$. For all odd natural $n$, let $\mu_n:=\mu$, where $\mu$ is the uniform distribution ...
Iosif Pinelis's user avatar
2 votes
Accepted

Blumenthal 0-1 law

$\newcommand\F{\mathcal F}\newcommand\N{\mathbb N}$First, some preliminary remarks: Your link to Bertoin's book is not very good. Here is a link with a better reference to the book. It is Blumenthal,...
Iosif Pinelis's user avatar
2 votes
Accepted

A Levy process is a.s. continuous

$\newcommand{\R}{\mathbb R}\newcommand{\Q}{\mathbb Q}$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 ...
Iosif Pinelis's user avatar
2 votes
Accepted

Second moment of stochastic integral wrt Levy Processes

For any random variable $Y$ with a finite second moment, one has $$ \left.\frac{\partial^2}{\partial \lambda^2}\mathbb{E} e^{i\lambda Y}\right|_{\lambda=0} =\left. \mathbb{E}\frac{\partial^2}{\partial ...
Kostya_I's user avatar
  • 8,992
2 votes
Accepted

Lévy measure and jump behaviour of the corresponding Lévy process

This follows immediately from (say) the following statements in Schilling - An Introduction to Lévy and Feller Processes: parts b) and c) of Lemma 9.4, stating that $N(\cdot,A)$ is a Poisson process ...
Iosif Pinelis's user avatar
2 votes
Accepted

Approximation of a random sum of random variables (infinitely divisible distribution) by a triangular array

$\newcommand\la\lambda$Let $$S_n:=\sum_{j=1}^n\xi_j X_{j,n},$$ where the $\xi_j$'s are iid random variables (r.v.'s) and, for each $n$, the $X_{j,n}$'s are iid r.v.'s independent of $\xi_j$'s and such ...
Iosif Pinelis's user avatar
2 votes
Accepted

How to show that $\int x \,d\nu = 0$ using a pseudo-weak convergence of measures?

$\newcommand\de\delta$A counterexample is given by $p=1$, $\nu(dx):=|x|^{-5/2}\,1(0<|x|<1)\,dx$, and $\nu_n(dx):=|x|^{-5/2}\,1(1/n<|x|<1)\,dx$. The OP has added certain conditions. The ...
Iosif Pinelis's user avatar
1 vote

A Lévy process is a semimartingale proof

The statement that cadlag Levy is semimartingale is proved here in theorem 4. Namely they prove that a cadlag Lévy process $X$ decomposes as $X_t=bt+W+Y$ where $Y$ is a semimartingale and $W$ is a ...
Thomas Kojar's user avatar
  • 5,474
1 vote
Accepted

Exceedance distribution of Levy process

First. if you were only interested in the one-sided problem, then you look in at the jump times and you have the same problem for a random walk which is the difference of a uniform and an exponential. ...
mike's user avatar
  • 1,172
1 vote
Accepted

Compound poisson processes (Construction)

$\newcommand{\N}{\mathbb N}\newcommand\ep\varepsilon$Apparently, the book "Levy processes and infinitely divisible distributions" you mentioned is the one by Sato. According to the ...
Iosif Pinelis's user avatar
1 vote
Accepted

Expectation of killed subordinator at first-passage time

Because $f(0)=g(0)=0$, the passage over $x$ is being counted in $\Bbb E[f(X_{\tau_x^+}-x)g(x-X_{\tau_x^+-})]$ iff $X$ jumps at the crossing time. And $$ \eqalign{ 1_{\{\Delta X_{\tau_x^+}>0\}}f(X_{\...
John Dawkins's user avatar
  • 1,989
1 vote
Accepted

Poisson point process in polar coordinates

This kind of thing is studied at length in Random Measures, Point Processes, and Stochastic Geometry by Baccelli, Blaszczyszyn, and Karray. The book is made freely available in pdf form by the authors,...
nullUser's user avatar
  • 282
1 vote
Accepted

How can we show this estimate for the convolution of two probability measures?

$\newcommand\ep\varepsilon\newcommand\de\delta$Let $\mu:=\mu_n$, $\nu:=\nu_n$, $B:=B_n$, $$C_k:=\{x\in E:\mu(K_k-x)>1-\de_k\},$$ so that $$B=\bigcap_k C_k.$$ We have $$1-\ep_k<(\mu*\nu)(K_k)=\...
Iosif Pinelis's user avatar
1 vote

Characterization of the generator of a Lévy process using martingale problems

I think you can do it by computing the expectation of the Laplace transform of both the function f(X_t) and the integral (the one with the martingale vanishes) and then identity the Laplace transform ...
AntoineL's user avatar
  • 131
1 vote

Is this statement of the Lévy–Khintchine formula ill-posed?

Apologies if this is an inappropriate place to post a comment (I am a newbie). But I wanted to mention that an easier to read treatment of infinite divisibility is Chapter 3 of the classic book by ...
AndreyF's user avatar
  • 171
1 vote

Quantiles of a Levy process

First of all, $X$ being non-lattice is not enough for $X_t$ being absolutely continuous. A simple counter-example is $$X_t = \sum_{n=1}^\infty \frac{N_t^{(n)}}{n!} \, ,$$ where $N_t^{(n)}$ are ...
Mateusz Kwaśnicki's user avatar
1 vote

Existence of a distinguished continuous version of the logarithm of a continuous function

The result (1) follows from the lifting property of covering spaces: Consider $f=\varphi/|\varphi|: E\to S^1$ and the standard covering map $p:\mathbb R\to S^1$, $t\mapsto e^{it}$. Since Banach space ...
Jochen Wengenroth's user avatar
1 vote
Accepted

If $\mu$ is an infinitely divisible probability measure on $[0,\infty)$, then the Lévy measure of $\mu$ is the vague limit of $n\mu^{*1/n}$

There are at least three ways to show that $n \mu^{*1/n}$ converges to $\nu$ vaguely in $\mathbb{R} \setminus \{0\}$. Let $X_t$ be the Lévy process such that $X_1$ has distribution $\mu$, and let $f$ ...
Mateusz Kwaśnicki's user avatar
1 vote

Is the distribution of a Banach space valued Lévy process uniquely determined by its characteristic function?

If the Banach space $E$ is separable, then, by Lemma 2.1, there does exist a unique continuous $f\colon E'\to\mathbb C$ with $f(0)=0$ such that your condition (1) holds. Moreover, then the function $f$...
Iosif Pinelis's user avatar
1 vote

If $L_t=\sum_{i=1}^{N_t}Y_i$ is a compound Poisson process, then $\left|\left\{s\in[0,t]:\Delta L_s\in B\right\}\right|=\sum_{i=1}^{N_t}1_B(Y_i)$

$\newcommand{\De}{\Delta}$ This is not really a probability problem, since the equality \begin{equation}\label{1}\tag{1} l_t:=|\{s\in[0,t]\colon\De L_s\in B\}|=\sum_{i=1}^{N_t}1_B(Y_i)=:r_t \end{...
Iosif Pinelis's user avatar

Only top scored, non community-wiki answers of a minimum length are eligible