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相关论文: The maximum of the local time of a diffusion proce…

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We study a one-dimensional diffusion $X$ in a drifted Brownian potential $W\_\kappa$, with $ 0\textless{}\kappa\textless{}1$, and focus on the behavior of the local times $(\mathcal{L}(t,x),x)$ of $X$ before time $t\textgreater{}0$.In…

概率论 · 数学 2016-09-08 Pierre Andreoletti , Alexis Devulder , Grégoire Vechambre

We consider Brox's model: a one-dimensional diffusion in a Brownian potential W. We show that the normalized local time process (L(t;m_(log t) + x)=t; x \in R), where m_(log t) is the bottom of the deepest valley reached by the process…

概率论 · 数学 2010-09-16 Pierre Andreoletti , Roland Diel

We study a one-dimensional diffusion process in a drifted Brownian potential. We characterize the upper functions of its hitting times in the sense of Paul L\'evy, and determine the lower limits in terms of an iterated logarithm law.

概率论 · 数学 2007-05-23 Alexis Devulder

We study the asymptotic behaviour of the maximum local time L*(t) of the Brox's process, the diffusion in Brownian environment. Shi proved that the maximum speed of L*(t) is surprisingly, at least t log(log(log t)) whereas in the discrete…

概率论 · 数学 2015-03-13 Roland Diel

For a time-homogeneous, one-dimensional diffusion process $X(t),$ we investigate the distribution of the first instant, after a given time $r,$ at which $X(t)$ exceeds its maximum on the interval $[0,r],$ generalizing a result of…

概率论 · 数学 2017-03-01 Mario Abundo

For $x\in R^d- \{0\}$, in dimension $d=3$, we study the asymptotic behavior of the local time $L_t^x$ of super-Brownian motion $X$ starting from $\delta_0$ as $x \to 0$. Let $\psi(x)=((1/2\pi^2) \log (1/|x|))^{1/2}$ be a normalization,…

概率论 · 数学 2017-06-12 Jieliang Hong

We consider a recurrent random walk on a rooted tree in random environment given by a branching random walk. Up to the first return to the root, its edge local times form a Multi-type Galton-Watson tree with countably infinitely many types.…

概率论 · 数学 2020-10-02 Xinxin Chen , Loïc de Raphélis

We consider a one-dimensional diffusion in a stable L\'evy environment. We show that the normalized local time process refocused at the bottom of the standard valley with height $\log t$, $(L_X(t,\mathfrak m_{\log t}+x)/t,x\in \R)$,…

概率论 · 数学 2010-08-06 Roland Diel , Guillaume Voisin

We study downward deviations of the maximum local time of the discrete-time simple random walk on $\mathbb{Z}^d$, $d\ge 3$. In our previous paper \cite{li2026ldmaxlocal}, the corresponding upper bound was established, while the matching…

概率论 · 数学 2026-05-26 Xinyi Li , Yushu Zheng

We consider a transient diffusion in a $(-\kappa/2)$-drifted Brownian potential $W\_{\kappa}$ with $0\textless{}\kappa\textless{}1$. We prove its localization at time $t$ in the neighborhood of some random points depending only on the…

概率论 · 数学 2015-03-10 Pierre Andreoletti , Alexis Devulder

We study downward deviations of the maximum local time of the discrete-time simple random walk on $\mathbb{Z}^d$, $d\ge 3$. In our previous paper \cite{li2026ldmaxlocal}, the corresponding upper bound was established, while the matching…

概率论 · 数学 2026-05-18 Xinyi Li , Yushu Zheng

We discuss a family of time-inhomogeneous two-dimensional diffusions, defined over a finite time interval $[0,T]$, having transition density functions that are expressible in terms of the integral kernels for negative exponentials of the…

概率论 · 数学 2023-07-04 Jeremy Clark , Barkat Mian

We consider high frequency observations from a fractional Brownian motion. Inspired by the work of Jean Jacod in a diffusion setting, we investigate the asymptotic behavior of various classical statistics related to the local times of the…

概率论 · 数学 2017-10-24 Mark Podolskij , Mathieu Rosenbaum

The drawdown process of an one-dimensional regular diffusion process $X$ is given by $X$ reflected at its running maximum. The drawup process is given by $X$ reflected at its running minimum. We calculate the probability that a drawdown…

概率论 · 数学 2016-03-11 Hongzhong Zhang

We consider a diffusion process $X$ in a random potential $\V$ of the form $\V_x = \S_x -\delta x$ where $\delta$ is a positive drift and $\S$ is a strictly stable process of index $\alpha\in (1,2)$ with positive jumps. Then the diffusion…

概率论 · 数学 2007-05-23 Arvind Singh

This paper studies small-time behavior at the supremum of a diffusion process. For a solution to the SDE $\mathrm{d} X_t=\mu(X_t)\mathrm{d} t+\sigma(X_t)\mathrm{d} W_t$ (where $W$ is a standard Brownian motion) we consider…

概率论 · 数学 2021-11-18 Jakob Dalsgaard Thøstesen

Our model consists of a Brownian particle $X$ moving in $\mathbb{R}$, where a Poissonian field of moving traps is present. Each trap is a ball with constant radius, centered at a trap point, and each trap point moves under a Brownian motion…

概率论 · 数学 2017-09-25 Mehmet Öz

For a diffusion process $X(t)$ of drift $\mu(x)$ and of diffusion coefficient $D=1/2$, we study the joint distribution of the two local times $A(t)= \int_{0}^{t} d\tau \delta(X(\tau)) $ and $B(t)= \int_{0}^{t} d\tau \delta(X(\tau)-L) $ at…

统计力学 · 物理学 2023-05-04 Alain Mazzolo , Cécile Monthus

We study the maximum of a Brownian motion with a parabolic drift; this is a random variable that often occurs as a limit of the maximum of discrete processes whose expectations have a maximum at an interior point. We give series expansions…

概率论 · 数学 2010-02-03 Svante Janson , Guy Louchard , Anders Martin-Löf

In order to approximate the exit time of a one-dimensional diffusion process, we propose an algorithm based on a random walk. Such an algorithm was already introduced in both the Brownian context and in the Ornstein-Uhlenbeck context. Here…

概率论 · 数学 2019-12-12 Samuel Herrmann , Nicolas Massin
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