A note on convergence to stationarity of random processes with immigration

preprint2015arXivOpen access

Abstract

Let X1,X2,…X_1, X_2,\ldots be random elements of the Skorokhod space D(R)D(\mathbb{R}) and ξ1,ξ2,…ξ_1, ξ_2, \ldots positive random variables such that the pairs (X1,ξ1),(X2,ξ2),…(X_1,ξ_1), (X_2,ξ_2),\ldots are independent and identically distributed. The random process Y(t):=∑k≥0Xk+1(t−ξ1−…−ξk)1{ξ1+…+ξk≤t}Y(t):=\sum_{k \geq 0}X_{k+1}(t-ξ_1-\ldots-ξ_k)1_{\{ξ_1+\ldots+ξ_k\leq t\}}, t∈Rt\in\mathbb{R}, is called random process with immigration at the epochs of a renewal process. Assuming that the distribution of ξ1ξ_1 is nonlattice and has finite mean while the process X1X_1 decays sufficiently fast, we prove weak convergence of (Y(u+t))u∈R(Y(u+t))_{u\in\mathbb{R}} as t→∞t\to\infty on D(R)D(\mathbb{R}) endowed with the J1J_1-topology. The present paper continues the line of research initiated in Iksanov, Marynych and Meiners (2015+).

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