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Fixed points of the smoothing transformation

  • Richard Durrett
  • Thomas M. Liggett
Article

Summary

Let W 1,..., W N be N nonnegative random variables and let \(\mathfrak{M}\) be the class of all probability measures on [0, ∞). Define a transformation T on \(\mathfrak{M}\) by letting be the distribution of W 1X1+ ... + W N X N , where the X i are independent random variables with distribution μ, which are independent of W 1,..., W N as well. In earlier work, first Kahane and Peyriere, and then Holley and Liggett, obtained necessary and sufficient conditions for T to have a nontrivial fixed point of finite mean in the special cases that the W i are independent and identically distributed, or are fixed multiples of one random variable. In this paper we study the transformation in general. Assuming only that for some γ>1, EW i γ <∞ for all i, we determine exactly when T has a nontrivial fixed point (of finite or infinite mean). When it does, we find all fixed points and prove a convergence result. In particular, it turns out that in the previously considered cases, T always has a nontrivial fixed point. Our results were motivated by a number of open problems in infinite particle systems. The basic question is: in those cases in which an infinite particle system has no invariant measures of finite mean, does it have invariant measures of infinite mean? Our results suggest possible answers to this question for the generalized potlatch and smoothing processes studied by Holley and Liggett.

Keywords

Random Walk Invariant Measure Independent Random Variable Unique Fixed Point Nonnegative Random Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1983

Authors and Affiliations

  • Richard Durrett
    • 1
  • Thomas M. Liggett
    • 1
  1. 1.Mathematics DepartmentUniversity of CaliforniaLos AngelesUSA

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