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We consider the Skorokhod problem in a time-varying interval. We prove existence and uniqueness for the solution. We also express the solution in terms of an explicit formula. Moving boundaries may generate singularities when they touch. We…

Probability · Mathematics 2007-12-19 Krzysztof Burdzy , Weining Kang , Kavita Ramanan

The Skorokhod embedding problem is to represent a given probability as the distribution of Brownian motion at a chosen stopping time. Over the last 50 years this has become one of the important classical problems in probability theory and a…

Probability · Mathematics 2016-05-16 Mathias Beiglboeck , Alexander M. G. Cox , Martin Huesmann

The Skorokhod embedding problem aims to represent a given probability measure on the real line as the distribution of Brownian motion stopped at a chosen stopping time. In this paper, we consider an extension of the optimal Skorokhod…

Probability · Mathematics 2016-08-04 Gaoyue Guo , Xiaolu Tan , Nizar Touzi

In this paper, we study the Skorokhod problem with two constraints, where the constraints are in a nonlinear fashion. We prove the existence and uniqueness of the solution and also provide the explicit construction for the solution. In…

Probability · Mathematics 2023-06-30 Hanwu Li

This work contributes a systematic survey and complementary insights of reflecting Brownian motion and its properties. Extension of the Skorohod problem's solution to more general cases is investigated, based on which a discussion is…

Probability · Mathematics 2020-09-09 Yunwen Wang , Jinfeng Li

We study the problem of stopping a Brownian motion at a given distribution $\nu$ while optimizing a reward function that depends on the (possibly randomized) stopping time and the Brownian motion. Our first result establishes that the set…

Probability · Mathematics 2020-04-15 Mathias Beiglböck , Marcel Nutz , Florian Stebegg

Consider a semimartingale reflecting Brownian motion (SRBM) $Z$ whose state space is the $d$-dimensional nonnegative orthant. The data for such a process are a drift vector $\theta$, a nonsingular $d\times d$ covariance matrix $\Sigma$, and…

Probability · Mathematics 2010-09-30 Maury Bramson , J. G. Dai , J. M. Harrison

Consider the Skorokhod problem in the closed non-negative orthant: find a solution $(g(t),m(t))$ to \[ g(t)= f(t)+ Rm(t),\] where $f$ is a given continuous vector-valued function with $f(0)$ in the orthant, $R$ is a given $d\times d$ matrix…

Probability · Mathematics 2024-07-09 Richard F. Bass , Krzysztof Burdzy

We identify an issue in recent approaches to learning-based control that reformulate systems with uncertain dynamics using a stochastic differential equation. Specifically, we discuss the approximation that replaces a model with fixed but…

Systems and Control · Electrical Eng. & Systems 2021-11-12 Thomas Lew , Apoorva Sharma , James Harrison , Edward Schmerling , Marco Pavone

We re-visit the global - relative to control policies - stability of multiclass queueing networks. In these, as is known, it is generally insufficient that the nominal utilization at each server is below 100%. Certain policies, although…

Optimization and Control · Mathematics 2024-03-08 Feiyang Zhao , Itai Gurvich , John Hasenbein

We investigate the obstacle problem for generalized Dean--Kawasaki equations driven by correlated conservative noise, establishing the existence, uniqueness, and $L^1$-stability of stochastic kinetic solutions. Our core strategy combines a…

Probability · Mathematics 2026-05-18 Ruoyang Liu , Rangrang Zhang

The study of both sensitivity analysis and differentiability of the stochastic flow of a reflected process in a convex polyhedral domain is challenging because the dynamics are discontinuous at the boundary of the domain and the boundary of…

Probability · Mathematics 2016-02-08 David Lipshutz , Kavita Ramanan

Semimartingale reflecting Brownian motions (SRBMs) living in the closures of domains with piecewise smooth boundaries are of interest in applied probability because of their role as heavy traffic approximations for some stochastic networks.…

Probability · Mathematics 2009-09-29 W. Kang , R. J. Williams

Our aim in this paper is to establish some strong stability properties of a solution of a stochastic differential equation driven by a fractional Brownian motion for which the pathwise uniqueness holds. The results are obtained using…

Probability · Mathematics 2017-01-06 Oussama El Barrimi , Youssef Ouknine

We call a multidimensional distribution to be decomposable with respect to a partition of two sets of coordinates if the original distribution is the product of the marginal distributions associated with these two sets. We focus on the…

Probability · Mathematics 2014-12-02 J. G. Dai , Masakiyo Miyazawa , Jian Wu

In this manuscript, we investigate a fractional stochastic neutral differential equation with time delay, which includes both deterministic and stochastic components. Our primary objective is to rigorously prove the existence of a unique…

Dynamical Systems · Mathematics 2024-05-28 Javad A. Asadzade , Nazim I. Mahmudov

The paper shows sufficiency conditions for stability of continuous periodic orbits under phase uncertainty. Phase based uncertainty is a trait of bipedal walking robots, where the desired trajectories are parameterized by a monotonous…

Dynamical Systems · Mathematics 2018-10-04 Shishir Nadubettu Yadukumar Kolathaya

We consider a finite or countable collection of one-dimensional Brownian particles whose dynamics at any point in time is determined by their rank in the entire particle system. Using Transportation Cost Inequalities for stochastic…

Probability · Mathematics 2010-11-11 Soumik Pal , Mykhaylo Shkolnikov

This paper considers the problem of robust stability for a class of uncertain quantum systems subject to unknown perturbations in the system Hamiltonian. Some general stability results are given for different classes of perturbations to the…

Quantum Physics · Physics 2015-06-04 Ian R. Petersen , Valery Ugrinovskii , Matthew R. James

Stabilization and trajectory control of a quadrotor carrying a suspended load with a fixed known mass has been extensively studied in recent years. However, the load mass is not always known beforehand or may vary during the practical…

Robotics · Computer Science 2016-12-14 Xu Zhou , Xiaoli Zhang , Jiucai Zhang , Rui Liu
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