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Postdoc Seminars

Combinatorial Characterization of Sequences with Bounded Variance

  • 2015-02-04 (Wed.), 11:00 AM
  • Recreation Hall, 2F, Institute of Statistical Science
  • The reception will be held at 10:40 at the lounge on the second floor of the Institute of Statistical Science Building
  • Miss Sara Kropf
  • PhD student, Institut f?r Mathematik, Alpen-Adria-Universit?t Klagenfurt

Abstract

In many contexts, a necessary condition for an asymptotic limit theorem is the variability condition, that is the variance has to be unbounded. We give a combinatorial characterization of transducers whose output sum does not satisfy this variability condition: The output of each cycle of the transducer has to be proportional to its length. ??? This characterization allows to prove a central limit theorem for a sequence for which there exists a transducer that it is too large or not explicitly given. For example, we can prove that the variability condition is satisfied for the optimal Hamming weight of many $\tau$-adic digit expansions for an algebraic number $\tau$.

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