Abstract

Let {Xk1}k=1∞,{Xk2}k=1∞,⋯ ,{Xkd}k=1∞\left\{X^{1}_k\right\}_{k=1}^{\infty}, \left\{X^{2}_k\right\}_{k=1}^{\infty}, \cdots, \left\{X^{d}_k\right\}_{k=1}^{\infty} be dd independent sequences of Bernoulli random variables with success-parameters p1,p2,⋯ ,pdp_1, p_2, \cdots, p_d respectively, where d≥2d \geq 2 is a positive integer, and 0<pj<1 0<p_j<1 for all j=1,2,⋯ ,d.j=1,2,\cdots,d. Let \begin{equation*} S^{j}(n) = \sum_{i=1}^{n} X^{j}_{i} = X^{j}_{1} + X^{j}_{2} + \cdots + X^{j}_{n}, \quad n =1,2 , \cdots. \end{equation*} We declare a "rencontre" at time nn, or, equivalently, say that nn is a "rencontre-time," if \begin{equation*} S^{1}(n) = S^{2}(n) = \cdots = S^{d}(n). \end{equation*} We motivate and study the distribution of the first (provided it is finite) rencontre time.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.