Abstract

An urn contains black and red balls. Let ZnZ_n be the proportion of black balls at time nn and 0≤L<U≤10\leq L<U\leq 1 random barriers. At each time nn, a ball bnb_n is drawn. If bnb_n is black and Zn−1<UZ_{n-1}<U, then bnb_n is replaced together with a random number BnB_n of black balls. If bnb_n is red and Zn−1>LZ_{n-1}>L, then bnb_n is replaced together with a random number RnR_n of red balls. Otherwise, no additional balls are added, and bnb_n alone is replaced. In this paper, we assume Rn=BnR_n=B_n. Then, under mild conditions, it is shown that Zn⟶a.s.ZZ_n\overset{a.s.}\longrightarrow Z for some random variable ZZ, and \begin{gather*} D_n:=\sqrt{n}\,(Z_n-Z)\longrightarrow\mathcal{N}(0,σ^2)\quad\text{conditionally a.s.} \end{gather*} where σ2σ^2 is a certain random variance. Almost sure conditional convergence means that \begin{gather*} P\bigl(D_n\in\cdot\mid\mathcal{G}_n\bigr)\overset{weakly}\longrightarrow\mathcal{N}(0,\,σ^2)\quad\text{a.s.} \end{gather*} where P(Dn∈⋅∣Gn)P\bigl(D_n\in\cdot\mid\mathcal{G}_n\bigr) is a regular version of the conditional distribution of DnD_n given the past Gn\mathcal{G}_n. Thus, in particular, one obtains Dn⟶N(0,σ2)D_n\longrightarrow\mathcal{N}(0,σ^2) stably. It is also shown that L<Z<UL<Z<U a.s. and ZZ has non-atomic distribution.

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