Avoiding defeat in a balls-in-bins process with feedback

نویسندگان

  • Roberto Oliveira
  • Joel Spencer
چکیده

Imagine that there are two bins to which balls are added sequentially, and each incoming ball joins a bin with probability proportional to the pth power of the number of balls already there. A general result says that if p > 1/2, there almost surely is some bin that will have more balls than the other at all large enough times, a property that we call eventual leadership. In this paper, we compute the asymptotics of the probability that bin 1 eventually leads when the total initial number of balls t is large and bin 1 has a fraction α < 1/2 of the balls; in fact, this probability is exp(cp(α)t + O ( t ) ) for some smooth, strictly negative function cp. Moreover, we show that conditioned on this unlikely event, the fraction of balls in the first bin can be well-approximated by the solution to a certain ordinary differential equation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Balls-in-bins with feedback and Brownian Motion

In a balls-in-bins process with feedback, balls are sequentially thrown into bins so that the probability that a bin with n balls obtains the next ball is proportional to f(n) for some function f . A commonly studied case where there are two bins and f(n) = n for p > 0, and our goal is to study the fine behavior of this process with two bins and a large initial number t of balls. Perhaps surpri...

متن کامل

The onset of dominance in balls-in-bins processes with feedback

Consider a balls-in-bins process in which each new ball goes into a given bin with probability proportional to f(n), where n is the number of balls currently in the bin and f is a fixed positive function. It is known that these so-called balls-in-bins processes with feedback have a monopolistic regime: if f(x) = x for p > 1, then there is a finite time after which one of the bins will receive a...

متن کامل

A Scaling Result for Explosive Processes

We consider the asymptotic behavior of the following model: balls are sequentially thrown into bins so that the probability that a bin with n balls obtains the next ball is proportional to f(n) for some function f . A commonly studied case where there are two bins and f(n) = np for p > 1. In this case, one of the two bins eventually obtains a monopoly, in the sense that it obtains all balls thr...

متن کامل

Fractional Matching Via Balls-and-Bins

In this paper we relate the problem of finding structures related to perfect matchings in bipartite graphs to a stochastic process similar to throwing balls into bins. Given a bipartite graph with n nodes on each side, we view each node on the left as having balls that it can throw into nodes on the right (bins) to which it is adjacent. If each node on the left throws exactly one ball and each ...

متن کامل

Multiple-Choice Balanced Allocation in (Almost) Parallel

We consider the problem of resource allocation in a parallel environment where new incoming resources are arriving online in groups or batches. We study this scenario in an abstract framework of allocating balls into bins. We revisit the allocation algorithm GREEDY[2] due to Azar, Broder, Karlin, and Upfal (SIAM J. Comput. 1999), in which, for sequentially arriving balls, each ball chooses two ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005