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Drift of reverse SDE with Lévy processes ($\alpha$ stable distributions)

Given an SDE with a Lévy process with a drift $b(x,t)$ the reverse SDE will have a drift, $\tilde{b}(x,t)$, given by the relation: $$\tilde{b}(x,t) = - b(x,t) + \int_{\mathbb{R}} y \left( 1 + \frac{...
user1172131's user avatar
0 votes
0 answers
36 views

Interpretation of Lévy process with signed Lévy measures

Suppose that I have a non-decreasing, pure jump Lévy process of finite variation $X$ with Lévy measure $\pi$. The Lévy measure is then supported on $(0,+\infty)$. Suppose that the Lévy measure is a ...
NancyBoy's user avatar
  • 393
4 votes
2 answers
354 views

Injectivity of a convolution operator

Let $p,\mu,\nu$ be probability density functions on $\mathbb{R}$ such that $$ \int_{\mathbb{R}}p(y-x) \nu(y) \, dy=\mu(x). $$ Now, consider the operator $T:L^2(\mu)\to L^2(\nu)$ such that $$ Tf=f*p.$$ ...
Ribhu's user avatar
  • 407
1 vote
0 answers
140 views

Ask assistance for finding K. Sato - Lévy Processes on the Euclidean Spaces

The paper me and my professor want is called K. Sato (1995) Lévy Processes on the Euclidean Spaces, Lecture Notes, Institute of Mathematics, University of Zurich. I tried to find the paper on the ...
Zoël Li's user avatar
3 votes
1 answer
137 views

Thinning of (mixed) binomial point process

Let $N= \sum_{i=1}^M \delta_{X_i}$ be a mixed Binomial process over $(\mathbb X, \mathcal X)$. I.e., $M$ is a $\mathbb Z_+$ valued random variable with probability mass function $q_M(m)$, $m=0, 1, \...
mariob6's user avatar
  • 133
0 votes
1 answer
450 views

A complex question related to a certain convergence of Lévy measures

Consider the sequence of stochastic processes $(X_n, n \geq 1)$, where $X_n = (X_{t;n})_{t\in \mathbb Z}$ and: \begin{equation}\label{I}\tag{SP} X_{t;n} = \sum_{j=0}^\infty \theta_{jn} \varepsilon_{t-...
PSE's user avatar
  • 13
3 votes
0 answers
107 views

Supremum process of a Cauchy RV

I've asked the same question on stats.stackexchange a week ago to no avail, so here we go again: Suppose $X_i$ are $\mathrm{Cauchy}(0,~\gamma)$ IID RV's. Does an expression exist for the CDF of the ...
user169291's user avatar
2 votes
0 answers
126 views

A question related to the jumps of a Levy process

The Lévy–Khintchine formula says that any Lévy process, $X=(X(t), t \geq 0)$, has a specific form for its characteristic function. More precisely, for all $t \geq 0$, $u \in \mathbb R^d$: $$ \mathbb{E}...
André Goulart's user avatar
2 votes
1 answer
503 views

Stationary Distribution of Langevin Dynamics driven by Lévy Process

Let $f\geq 0$ be a Lipschitz function and let $(L_t)_{t\geq 0}$ be an $\alpha$-stable Lévy process ($0<\alpha<2$, possibly multivariate). Consider the process given by $$dX_t=-\nabla f(X_t)dt+\...
Small Deviation's user avatar
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0 answers
68 views

Step in the derivation of the total idle time distribution of an M/G/1 queue

I'm trying to work my way through the proof of Thm. 1.11 in Kyprianou's Introductory Lectures on Fluctuations of Levy Processes with Applications but really struggle to understand the following step. ...
Othman El Hammouchi's user avatar
1 vote
1 answer
464 views

A Lévy process is a semimartingale proof

I have to prove that a Lévy process is a semimartingale. In general we say that $X$ is a semimartingale if it is an adapted process such that, for each $t ≥ 0$, $$X (t) = X (0) + M(t) + C(t)$$ where $...
Joegin 's user avatar
1 vote
0 answers
303 views

The inverse gaussian process

I need help. I'm studying Lévy processes and one of the examples is the inverse gaussian process. Let $(B_t)_{t\geq 0}$ a Brownian motion and define the first passage time $\tau_s=inf\{t\geq 0: B_t+ct&...
Joegin 's user avatar
1 vote
1 answer
81 views

The Lévy process jumps

I have two questions. Let $(X_t)_{t\geq 0}$ be a Lévy process with Lévy measure $\nu$. The jump process $\Delta X=\left(\Delta X_t\right)_{t\geq 0}$ is defined by $\Delta X_t=X_t-X_{t-}$, for every $t\...
Joegin 's user avatar
1 vote
1 answer
156 views

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

I have a sequence of $p$-dimensional infinitely divisible random vectors $S_n'$, such that $S_n' \Longrightarrow X$, as $n \to \infty$. Suppose the following assumptions The characteristic functions ...
PSE's user avatar
  • 13
1 vote
0 answers
175 views

Interpretation of the Lévy measure of an infinitely divisible random vector

We know that a random vector $X$ is infinitely divisible (ID) if for all $n \in \mathbb N$, there exist $X_1^n,..., X_{n}^n$ i.i.d. random vectors such that: \begin{equation} X = X_1^n + ...+ X_n^...
PSE's user avatar
  • 13
0 votes
1 answer
72 views

Exceedance distribution of Levy process

Consider a Levy process $L(t)$ with linear drift $-1$, no Brownian motion component, and Poisson jumps at rate 2 with size Uniform($0, 1$), and with $L(0)=0$. This process has zero mean drift. Let $\...
isaacg's user avatar
  • 294
0 votes
1 answer
139 views

Lévy measure and jump behaviour of the corresponding Lévy process

Let $(X_t)_{t \ge 0}$ be a Lévy process on $\mathbb R$ with Lévy measure $\nu$. Define the jump counting measure $N(t, A) = \lvert\{s \in [0, t] \mathrel: \Delta X_s \in A\}\rvert$ where $\Delta X_s$ ...
Ginger 17's user avatar
0 votes
1 answer
159 views

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

We know that a Poisson distribution can be approximated by a binomial distribution. More exactly, let $(X_{jn})_{1\leq j \leq n}$ be a i.i.d. triangular array such that $$P[X_{jn}= 1 ] = p_n = 1- P[X_{...
Fam's user avatar
  • 135
0 votes
1 answer
189 views

Compound poisson processes (Construction)

I'm studying compound poisson processes and in "Levy processes and infinitely divisible distributions" there is this theorem (4.3) : To proof that it is a Levy process we have to show that: ...
Ginger 17's user avatar
2 votes
1 answer
203 views

A Levy process is a.s. continuous

I have to proof this: If is a Levy process then for each the sample path is, with probability 1, continuous as s=t. This is the proof: I don't understand the conclusion. Can someone explain to me ...
Ginger 17's user avatar
0 votes
1 answer
149 views

Second moment of stochastic integral wrt Levy Processes

I have a question about the second moment of the integral wrt Levy Processes. Let Z a Levy processe. We know that: And a few page later is written that by differentiation of the characteristic ...
Ginger 17's user avatar
2 votes
1 answer
804 views

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

I'm studying Infinitely Divisible random variables using this Lecture Notes. And I have a question that is driving me crazy. In the proof of the "only if" part of the Levy-Khintchine ...
MAOC's user avatar
  • 123
3 votes
1 answer
436 views

Is the limit of compound Poisson random variables a compound Poisson r.v.?

Let $Y$ be an infinitely divisible (I.D.) random variable. Let $\nu$ be any measure not necessarily finite: $\nu(\mathbb R)\leq \infty$. Suppose that $Y \sim (0, \nu,0)_0$ according to the notation on ...
PSE's user avatar
  • 13
1 vote
0 answers
142 views

What are the Lévy processes with specific increments?

It is known that the increment of the Wiener process $W$ is drawn from a Gaussian distribution, i.e. $\Delta W \sim \mathcal{N}(0, \delta t)$. I wonder what are the Lévy processes with increments from ...
user482699's user avatar
3 votes
1 answer
242 views

Blumenthal 0-1 law

Let us define the following two stopping time $\tau_B=\inf\{t\geq 0: X_t\in B\}, \tau'_B=\inf\{t> 0: X_t\in B\}$, where $\tau_B$ is entrance time and $\tau'_B$ is hitting time. It is clear $\tau_B=\...
Fractional analysics's user avatar
1 vote
0 answers
47 views

How do we need to argue in this step of the Itō-Lévy-Khintchine decomposition?

Let $E$ be a $\mathbb R$-Banach space; $(\Omega,\mathcal A,\operatorname P)$ be a probability space; $(\mathcal F_t)_{t\ge0}$ be a filtration on $(\Omega,\mathcal A)$; $(X_t)_{t\ge0}$ be an $E$-...
0xbadf00d's user avatar
  • 167
2 votes
0 answers
128 views

Proof of the Lévy–Itō decomposition in this paper

Let $E$ be a normed $\mathbb R$-vector space; $(\Omega,\mathcal A,\operatorname P)$ be a probability space; $(\mathcal F_t)_{t\ge0}$ be a filtration on $(\Omega,\mathcal A)$; $(X_t)_{t\ge0}$ be an $E$...
0xbadf00d's user avatar
  • 167
0 votes
1 answer
134 views

Expectation of killed subordinator at first-passage time

I am reading Fluctuations of Levy Processes with Applications by A.E. Kyprianou and I am having struggles understanding a part in the proof of theorem 5.6. Let $Y$ be a subordinator and $\mathbf{e}$ ...
Brandon's user avatar
  • 103
1 vote
0 answers
191 views

Characterization of Poisson random measure in terms of Laplace transform

Let $(E,\mathcal E)$ be a measurable space and $\mu$ be a measure on $(E,\mathcal E)$. A random measure $\pi$ on $(E,\mathcal E)$ is called Poisson with intensity $\mu$ if $\pi(B)\sim\operatorname{...
0xbadf00d's user avatar
  • 167
3 votes
1 answer
626 views

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

Let $E$ be a normed $\mathbb R$-vector space, $\mu$ be a probability measure on $\mathcal B(E)$ and $\varphi_\mu$ denote the characteristic function$^1$ of $\mu$. Assume $\mu$ is infinitely divisible, ...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
243 views

Poisson point process in polar coordinates

Let $D = \mathbb{R^+} \times (\mathbb{R}\backslash \{0\})$ Let $\mu(dt \times dx)$ be a $\sigma$-finite measure on the Borel $\sigma$-algebra $\sigma(D)$. Let $M(dt \times dx)$ be the Poisson random ...
bm76's user avatar
  • 103
0 votes
1 answer
134 views

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

Let $(\delta_k)_{k\in\mathbb N}\subseteq(0,\infty)$ be nonincreasing with $\delta_k\xrightarrow{k\to\infty}0$ and $(\varepsilon_k)_{k\in\mathbb N}\subseteq(0,\infty)$ with $\sum_{k\in\mathbb N}\...
0xbadf00d's user avatar
  • 167
2 votes
2 answers
322 views

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

Let $E$ be a metric space and $\mathcal M(E)$ denoote the space of finite signed measures on $\mathcal B(E)$ equipped with the total variation norm $\left\|\;\cdot\;\right\|$. I would like to know ...
0xbadf00d's user avatar
  • 167
3 votes
1 answer
278 views

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

Please take a look at the following statement of the Lévy–Khintchine formula given in Probability Theory: A Comprehensive Course (2nd edition)$^1$: Am I missing something or is this an ill-posed ...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
168 views

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

Let $E$ be a $\mathbb R$-Banach space, $\mathcal M_1(E)$ (resp. $\mathcal M_1^\infty(E)$) denote the set of probability measures (resp. infinitely divisible probability measures) on $E$, $\varphi_\mu$ ...
0xbadf00d's user avatar
  • 167
0 votes
0 answers
150 views

Define the convolution root of probability measures on a measurable group

Let $(G,\mathcal G)$ be a measurable group and $\nu^{\ast k}$ denote the $k$th convolution power of a probability measure $\nu$ on $(G,\mathcal G)$ for $k\in\mathbb N$. Remember that a probability ...
0xbadf00d's user avatar
  • 167
0 votes
2 answers
368 views

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

If $\nu$ is a finite measure on $(\mathbb R,\mathcal B(\mathbb R))$, let $\nu^{\ast k}$ denote the $k$-fold convolution¹ of $\nu$ with itself for $k\in\mathbb N_0$, $$\exp(\nu)\mathrel{:=}\sum_{k=0}^\...
0xbadf00d's user avatar
  • 167
-1 votes
1 answer
92 views

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

Let $E$ be a $\mathbb R$-Banach space. Remember that if $\mu$ is a finite measure on $\mathcal B(E)$ then $$\Phi_\mu:E'\to\mathbb C\;,\;\;\;\varphi\mapsto\int\mu({\rm d}x)e^{{\rm i}\varphi(x)}$$ is ...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
154 views

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

Let $H$ be a $\mathbb R$-Hilbert space, $\mu$ be a finite measure on $\mathcal B(H)$ with $\mu(\{0\})=0$ and $(L_t)_{t\ge0}$ be a $H$-valued càdlàg Lévy process on a probability space $(\Omega,\...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
136 views

An integral involving Levy process with no positive jumps

Let $L_t$ be a Levy process that has no positive jumps, but is not strictly decreasing, i.e $$ L_t = \gamma t + \sigma B_t + J_t, $$ where $B_t$ is a Brownian motion, $J_t$ is a pure jump process with ...
bm76's user avatar
  • 103
3 votes
1 answer
667 views

Characteristic function and moments

Let $X\in L^1(\Omega)$ and $\phi_X$ the corresponding characteristic function. We know that: $\phi_X$ is $n$ times differentiable (at $u=0$) iff $\mathbb{E}[X^n]<\infty$. (This depends a bit on ...
Alex's user avatar
  • 255
0 votes
0 answers
62 views

Hitting order of sets by a Lévy process

Let $X$ be a transient Lévy process on $\mathbb R$, and $B\subseteq \mathbb R$ a Borel set with first hitting time $T_B = \inf \left\{t>0 : X_t\in B\right\}$. For Borel $A\subseteq B$, can anything ...
user1118's user avatar
4 votes
1 answer
113 views

escape points of Levy processes

Suppose $D$ is a domain in $\mathbb{R}^d$, $x\in D$. $X_t$ is a Levy process with Lévy triplet ${\displaystyle (b,0,\mu )}$ . Can one give a brief proof for: $$ \mathbb{P}_x(X_{\tau_D^-}\in \partial ...
Guohuan Zhao's user avatar
3 votes
0 answers
101 views

A dependent and discrete version of the Komlós-Major-Tusnády theorem

The well-known Komlós-Major-Tusnády approximation gives sharp speed of convergence of a uniform empirical process to a Brownian bridge. Here I am considering how to approach a similar problem with ...
John Wong's user avatar
  • 773
2 votes
0 answers
146 views

Modulus of continuity of Lévy process as jump size tends to zero

While reading Kallenberg's "Foundations of Modern Probability Theory", 2nd edition, the following question regarding an argument in the proof of Lemma 15.19 occurred to me. Let $X_n(t)$ be a sequence ...
Uchiha's user avatar
  • 87
3 votes
0 answers
112 views

Orlicz spaces and $\phi$-functions

A $\phi$-function $f$ is usually defined as a continuous function $f=\mathbb R_+ \to \mathbb R_+$ such that: (1) $f$ is nondecreasing. (2) $f(0)=0$ and $f(x)>0$ for all $x>0$. (3) $\lim_{x\to ...
Thomas's user avatar
  • 630
2 votes
1 answer
418 views

Version of Donsker-Invariance-Principle

Assume we have a Levy process $(X_t)_{t\geq 0}$ with a finite second moment for all $t>0$. For simplicity, say $\operatorname{Var}\left[X_1\right]=1$. Let $\tilde{X}_t:=X_t-t\cdot E\left[X_1\right]$...
ziT's user avatar
  • 257
3 votes
2 answers
3k views

Lévy measure and Lévy process

A Lévy measure $\nu$ on $\mathbb R^{d}$ is a measure satisfying $$\nu\{0\} = 0, \ \int_{\mathbb R^{d}} (|y|^{2}\wedge 1) \nu(dy) <\infty.$$ A Lévy process can be characterized by triples $(b, A, \...
kenneth's user avatar
  • 1,399
2 votes
0 answers
278 views

Radon-Nikodym for continuous time processes

Likelihood theory for statistical inference concerning stochastic processes in continuous time are well used. How ever i've found no real literature concerning the fundamentals. What is know from ...
ziT's user avatar
  • 257
2 votes
0 answers
417 views

What is the Blumenthal-Getoor index of Student's distributions?

For infinitely divisible random variables, Blumenthal and Getoor introduced in [1] an index that allow to study for instance the local Hölder regularity of Lévy processes. For a symmetric infinitely ...
Goulifet's user avatar
  • 2,306