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Universal finitary codes with exponential tails
Authors:Harvey  Nate; Holroyd  Alexander E; Peres  Yuval; Romik  Dan
Institution:1 Department of Mathematics
University of California at Berkeley
Berkeley, CA 94720
USA
2 Department of Mathematics
University of British Columbia
Vancouver, BC V6T 1Z2
Canada
holroyd{at}math.ubc.ca
3 Departments of Statistics and Mathematics
University of California at Berkeley
CA 94720, Berkeley
USA
peres{at}stat.berkeley.edu
4 The Mathematical Sciences Research Institute
17 Gauss Way Berkeley, CA 94720-5070
USA
romik{at}msri.org
Abstract:In 1977, Keane and Smorodinsky showed that there exists a finitaryhomomorphism from any finite-alphabet Bernoulli process to anyother finite-alphabet Bernoulli process of strictly lower entropy.In 1996, Serafin proved the existence of a finitary homomorphismwith finite expected coding length. In this paper, we constructsuch a homomorphism in which the coding length has exponentialtails. Our construction is source-universal, in the sense thatit does not use any information on the source distribution otherthan the alphabet size and a bound on the entropy gap betweenthe source and target distributions. We also indicate how ourmethods can be extended to prove a source-specific version ofthe result for Markov chains.
Keywords:
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