Linear Sequences and Weighted Ergodic Theorems
Author(s) -
Tanja Eisner
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/815726
Subject(s) - ergodic theory , mathematics , measure (data warehouse) , banach space , bounded function , stationary ergodic process , simple (philosophy) , polynomial , discrete mathematics , bounded inverse theorem , set (abstract data type) , pure mathematics , invariant measure , bounded operator , mathematical analysis , computer science , philosophy , epistemology , database , programming language
We present a simple way to produce good weights for several types of ergodic theorem including the Wiener-Wintner type multiple return time theorem and the multiple polynomial ergodic theorem. These weights are deterministic and come from orbits of certain bounded linear operators on Banach spaces. This extends the known results for nilsequences and return time sequences of the form for a measure preserving system and , avoiding in the latter case the problem of finding the full measure set of appropriate points
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