  Zipf's law implies the statistical distributions of hyperbolic type, which
can describe the properties of stability and entropy loss in linguistics. We
present the information theory from which follows that if the system is
described by distributions of hyperbolic type it leads to the possibility of
entropy loss. We present the number of repetitions of genes in tne genomes for
some bacteria, as Borelia burgdorferi and Escherichia coli.
  Distributions of repetitions of genes in genome appears to be represented by
distributions of hyperbolic type.
