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On the Return Time for a Reflected Fractional Brownian Motion Process on the Positive Orthant

Published online by Cambridge University Press:  14 July 2016

Chihoon Lee*
Affiliation:
Colorado State University
*
Postal address: Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA. Email address: chihoon@stat.colostate.edu
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Abstract

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We consider a d-dimensional reflected fractional Brownian motion (RFBM) process on the positive orthant S = R+d, with drift r0Rd and Hurst parameter H ∈ (½, 1). Under a natural stability condition on the drift vector r0 and reflection directions, we establish a return time result for the RFBM process Z; that is, for some δ, κ > 0, supxBExB(δ)] < ∞, where B = {xS : |x| ≤ κ} and τB(δ) = inf{t ≥ δ : Z(t) ∈ B}. Similar results are known for reflected processes driven by standard Brownian motions, and our result can be viewed as their FBM counterpart. Our motivation for this study is that RFBM appears as a limiting workload process for fluid queueing network models fed by a large number of heavy-tailed ON/OFF sources in heavy traffic.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 2011 

References

[1] Atar, R., Budhiraja, A. and Dupuis, P. (2001). On positive recurrence of constrained diffusion processes. Ann. Prob. 29, 9791000.Google Scholar
[2] Bernard, A. and el Kharroubi, A. (1991). Régulations déterministes et stochastiques dans le premier “orthant” de R n . Stoch. Stoch. Reports 34, 149167.CrossRefGoogle Scholar
[3] Budhiraja, A. and Lee, C. (2007). Long time asymptotics for constrained diffusions in polyhedral domains. Stoch. Process. Appl. 117, 10141036.CrossRefGoogle Scholar
[4] Dai, J. G. (1995). On positive Harris recurrence of multiclass queueing networks: a unified approach via fluid limit models. Ann. Appl. Prob. 5, 4977.CrossRefGoogle Scholar
[5] Delgado, R. (2007). A reflected fBm limit for fluid models with ON/{OFF} sources under heavy traffic. Stoch. Process. Appl. 117, 188201.CrossRefGoogle Scholar
[6] Delgado, R. (2008). State space collapse for asymptotically critical multi-class fluid networks. Queueing Systems 59, 157184.CrossRefGoogle Scholar
[7] Delgado, R. (2010). On the reflected fractional Brownian motion process on the positive orthant: asymptotics for a maximum with application to queueing networks. Stoch. Models 26, 272294.CrossRefGoogle Scholar
[8] Dupuis, P. and Ishii, H. (1991). On Lipschitz continuity of the solution mapping to the Skorokhod problem, with applications. Stoch. Stoch. Reports 35, 3162.CrossRefGoogle Scholar
[9] Dupuis, P. and Ramanan, K. (1999). Convex duality and the Skorokhod problem. I. Prob. Theory Relat. Fields 115, 153195.CrossRefGoogle Scholar
[10] Dupuis, P. and Ramanan, K. (1999). Convex duality and the Skorokhod problem. II. Prob. Theory Relat. Fields 115, 197236.CrossRefGoogle Scholar
[11] Dupuis, P. and Williams, R. J. (1994). Lyapunov functions for semimartingale reflecting Brownian motions. Ann. Prob. 22, 680702.CrossRefGoogle Scholar
[12] Gelfand, I. (1941). Normierte Ringe. Rec. Math. [Mat. Sbornik] N. S. 9, 324.Google Scholar
[13] Harrison, J. M. and Reiman, M. I. (1981). Reflected Brownian motion on an orthant. Ann. Prob. 9, 302308.CrossRefGoogle Scholar
[14] Harrison, J. M. and Williams, R. J. (1987). Brownian models of open queueing networks with homogeneous customer populations. Stochastics 22, 77115.CrossRefGoogle Scholar
[15] Konstantopoulos, T. and Lin, S.-J. (1996). Fractional Brownian approximations of queueing networks. In Stochastic Networks (New York, 1995; Lecture Notes Statist. 117), Springer, New York, pp. 257273.CrossRefGoogle Scholar
[16] Meyn, S. P. and Tweedie, R. L. (1993). Stability of Markovian processes. II. Continous-time processes and sampled chains. Adv. Appl. Prob. 25, 497517.Google Scholar
[17] Meyn, S. P. and Tweedie, R. L. (1993). Stability of Markovian processes. III. Foster-Lyapunov criteria for continous-time processes. Adv. Appl. Prob. 25, 518548.CrossRefGoogle Scholar
[18] Meyn, S. P. and Tweedie, R. L. (1994). State-dependent criteria for convergence of Markov chains. Ann. Appl. Prob. 4, 149168.CrossRefGoogle Scholar
[19] Meyn, S. and Tweedie, R. L. (2009). Markov Chains and Stochastic Stability. Cambridge University Press.CrossRefGoogle Scholar
[20] Novikov, A. and Valkeila, E. (1999). On some maximal inequalities for fractional Brownian motions. Statist. Prob. Lett. 44, 4754.CrossRefGoogle Scholar
[21] Nualart, D. (2006). The Malliavin Calculus and Related Topics, 2nd edn. Springer, Berlin.Google Scholar
[22] Williams, R. J. (1998). An invariance principle for semimartingale reflecting Brownian motions in an orthant. Queueing Systems 30, 525.CrossRefGoogle Scholar