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Coin Lemmas with Random Variables

  • Katia Folegati
  • Roberto Segala
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2165)

Abstract

Coin lemmas are a tool for decoupling probabilistic and non-deterministic arguments in the analysis of concurrent probabilistic systems. They have revealed to be fundamental in the analysis of randomized distributed algorithms, where the interplay between probability and nondeterminism has proved to be subtle and difficult to handle.

We reformulate coin lemmas in terms of random variables obtaining a newcollection of coin lemmas that is independent of the underlying computational model and of more general applicability to the study of concurrent nondeterministic probabilistic systems.

Keywords

Root Function Label Transition System Probabilistic Automaton General Stochastic Process Binary Experiment 
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 Berlin Heidelberg 2001

Authors and Affiliations

  • Katia Folegati
    • 1
  • Roberto Segala
    • 1
  1. 1.Department of Computer ScienceUniversity of BolognaItaly

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