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On the Quasi-Stationary Distribution of the Shiryaev-Roberts Diffusion

Abstract

We consider the diffusion (Rtr)t0(R_t^r)_{t\ge0} generated by the equation dRtr=dt+μRtrdBtdR_t^r=dt+\mu R_t^r dB_t with R0rr0R_0^r\triangleq r\ge0 fixed, and where μ0\mu\neq0 is given, and (Bt)t0(B_t)_{t\ge0} is standard Brownian motion. We assume that (Rtr)t0(R_t^r)_{t\ge0} is stopped at SArinf{t0 ⁣:Rtr=A}\mathcal{S}_A^r\triangleq\inf\{t\ge0\colon R_t^r=A\} with A>0A>0 preset, and obtain a closed-from formula for the quasi-stationary distribution of (Rtr)t0(R_t^r)_{t\ge0}, i.e., the limit QA(x)limt+Pr(RtrxSAr>t)Q_A(x)\triangleq\lim_{t\to+\infty}\Pr(R_t^r\le x|\mathcal{S}_A^r>t), x[0,A]x\in[0,A]. Further, we also prove QA(x)Q_A(x) to be unimodal for any A>0A>0, and obtain its entire moment series. More importantly, the pair (SAr,Rtr)(\mathcal{S}_A^r,R_t^r) with r0r\ge0 and A>0A>0 is the well-known Generalized Shiryaev-Roberts change-point detection procedure, and its characteristics for rQA(x)r\sim Q_A(x) are of particular interest, especially when A>0A>0 is large. In view of this circumstance we offer an order-three large-AA asymptotic approximation of QA(x)Q_A(x) valid for all x[0,A]x\in[0,A]. The approximation is rather accurate even if AA is lower than what would be considered "large" in practice.

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