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Convergence of weighted polynomial multiple ergodic averages
Author(s):
Qing
Chu
Journal:
Proc. Amer. Math. Soc.
137
(2009),
1363-1369.
MSC (2000):
Primary 37A05, 37A30
Posted:
October 16, 2008
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Abstract:
In this article we study weighted polynomial multiple ergodic averages. A sequence of weights is called universally good if any polynomial multiple ergodic average with this sequence of weights converges in . We find a necessary condition and show that for any bounded measurable function on an ergodic system, the sequence is universally good for almost every . The linear case was covered by Host and Kra.
References:
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Additional Information:
Qing
Chu
Affiliation:
Université Paris-Est, Laboratoire d'Analyse et de Mathématiques Appliquées, UMR CNRS 8050, 5 bd Descartes, 77454 Marne la Vallée Cedex 2, France
Email:
qing.chu@univ-mlv.fr
DOI:
10.1090/S0002-9939-08-09614-7
PII:
S 0002-9939(08)09614-7
Keywords:
Weighted ergodic averages,
universally good sequences,
Wiener-Wintner ergodic theorem,
nilsequences
Received by editor(s):
February 21, 2008,
Received by editor(s) in revised form:
April 14, 2008
Posted:
October 16, 2008
Communicated by:
Bryna Kra
Copyright of article:
Copyright
2008,
American Mathematical Society
The copyright for this article reverts to public domain after 28 years from publication.
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