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Semimartingale reflecting Brownian motions (SRBMs) are diffusion processes with state space the d-dimensional nonnegative orthant, in the interior of which the processes evolve according to a Brownian motion, and that reflect against the…

Probability · Mathematics 2010-11-13 Maury Bramson

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

We present three sets of results for the stationary distribution of a two-dimensional semimartingale reflecting Brownian motion (SRBM) that lives in the nonnegative quadrant. The SRBM data can equivalently be specified by three geometric…

Probability · Mathematics 2012-12-04 Jim G. Dai , Masakiyo Miyazawa

We study rare event simulations of semimartingale reflecting Brownian motions (SRBMs) in an orthant. The rare event of interest is that a $d$-dimensional positive recurrent SRBM enters the set $B_n = \{z\in\mathbb{R}^d: \sum_{k=1}^d z_k =…

Probability · Mathematics 2019-03-19 Kevin Leder , Xin Liu , Zicheng Wang

We describe and analyze a class of positive recurrent reflected Brownian motions (RBMs) in $\mathbb{R}^d_+$ for which local statistics converge to equilibrium at a rate independent of the dimension $d$. Under suitable assumptions on the…

Probability · Mathematics 2022-03-23 Sayan Banerjee , Brendan Brown

A uniform dimensional result for normally reflected Brownian motion (RBM) in a large class of non-smooth domains is established. Exact Hausdorff dimensions for the boundary occupation time and the boundary trace of RBM are given. Extensions…

Probability · Mathematics 2007-05-23 Itai Benjamini , Zhen-Qing Chen , Steffen Rohde

Inspired by Dai et al. [2023], we develop a novel multi-scaling asymptotic regime for semimartingale reflecting Brownian motion (SRBM). In this regime, we establish the steady-state convergence of SRBM to a product-form limit with…

Probability · Mathematics 2025-06-16 Jin Guang , Xinyun Chen , J. G. Dai , Peter W. Glynn

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

We obtain rates of convergence to stationarity in L^1-Wasserstein distance for a d-dimensional reflected Brownian motion (RBM) in the nonnegative orthant that are explicit in the dimension and the system parameters. The results are then…

Probability · Mathematics 2019-12-04 Sayan Banerjee , Amarjit Budhiraja

This article presents a review of some old and new results on the long time behavior of reflected diffusions. First, we present a summary of prior results on construction, ergodicity and geometric ergodicity of reflected diffusions in the…

Probability · Mathematics 2022-08-08 Sayan Banerjee , Amarjit Budhiraja

We provide the first rate of convergence analysis for RBM as the dimension grows under natural uniformity conditions. In particular, if the underlying routing matrix is uniformly contractive, uniform stability of the drift vector holds, and…

Probability · Mathematics 2016-08-15 Jose Blanchet , Xinyun Chen

We present a geometric interpretation of a product form stationary distribution for a $d$-dimensional semimartingale reflecting Brownian motion (SRBM) that lives in the nonnegative orthant. The $d$-dimensional SRBM data can be equivalently…

Probability · Mathematics 2015-02-03 J. G. Dai , Masakiyo Miyazawa , Jian Wu

A semi-martingale reflecting Brownian motion is a popular process for diffusion approximations of queueing models including their networks. In this paper, we are concerned with the case that it lives on the nonnegative half-line, but the…

Probability · Mathematics 2024-08-13 Masakiyo Miyazawa

Motivated by applications in queueing theory, we consider a stochastic control problem whose state space is the $d$-dimensional positive orthant. The controlled process $Z$ evolves as a reflected Brownian motion whose covariance matrix is…

Systems and Control · Electrical Eng. & Systems 2024-08-09 Baris Ata , J. Michael Harrison , Nian Si

Let $D$ be an unbounded domain in $\RR^d$ with $d\geq 3$. We show that if $D$ contains an unbounded uniform domain, then the symmetric reflecting Brownian motion (RBM) on $\overline D$ is transient. Next assume that RBM $X$ on $\overline D$…

Probability · Mathematics 2015-05-13 Zhen-Qing Chen , Masatoshi Fukushima

We investigate the large-scale behaviour of the Self-Repelling Brownian Polymer (SRBP) in the critical dimension $d=2$. The SRBP is a model of self-repelling motion, which is formally given by the solution a stochastic differential equation…

Probability · Mathematics 2024-03-12 Giuseppe Cannizzaro , Harry Giles

We determine the processes obtained from a large class of reflected Brownian motions (RBMs) in the nonnegative orthant by means of time reversal. The class of RBMs we deal with includes, but is not limited to, RBMs in the so-called…

Probability · Mathematics 2013-07-18 Mykhaylo Shkolnikov , Ioannis Karatzas

We are interested to prove that the stationary distribution of a multiclass queueing network converges to the stationary distribution of a semimartingale reflecting Brownian motion (SRBM) in heavy traffic. A key condition for this…

Probability · Mathematics 2025-07-08 J. G. Dai , Yiquan Ji , Masakiyo Miyazawa

We consider a continuous-time random walk in the quarter plane for which the transition intensities are constant on each of the four faces $(0,\infty)^2$, $F_1=\{0\}\times(0,\infty)$, $F_2=(0,\infty)\times\{0\}$ and $\{(0,0)\}$. We show…

Probability · Mathematics 2024-03-04 Rami Atar , Amarjit Budhiraja

Reflected Brownian motion (RBM) in a wedge is a 2-dimensional stochastic process Z whose state space in R^2 is given in polar coordinates by S={(r,theta): r >= 0, 0 <= theta <= xi} for some 0 < xi < 2 pi. Let alpha= (theta_1+theta_2)/xi,…

Probability · Mathematics 2016-05-09 Peter Lakner , Josh Reed , Bert Zwart
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