59 research outputs found

    Multiple return times theorems for weakly mixing systems

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    We prove the pointwise convergence of weighted averages 1/N ΣN n=1ang(Rnz) where (Z, K, v, R ) is an ergodic dynamical system. The sequence an is given by expression of the form an = an(x, y1, y2, ..., yj)=(HΠi=1fi(Tbibx)).(JΠj=1gj(Snjyj)), where (b1, b2, ..., bH)∊ZH and J is a positive integer. The functions fi and gj are bounded and the systems (X, F, μ, T) and (Yj, Gj, mj, Sj) are weakly mixing

    Rota's alternating procedure with non-positive operators

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    AbstractLet (Tn) be a sequence of linear contractions on all Lp spaces, 1 ⩽ p ⩽ ∞. We show that limn T1∗T2∗ … Tn∗Tn … T2T1f exists a.e. for each function fϵL Log L. This extends to the non-positive case (G. C. Rota, Bull. Amer. Math. Soc.68, 95–102; N. Starr, Trans. Amer. Math. Soc.121, 90–115). We obtain also the a.e. convergence of products JvT1∗ … Tn∗JμTn … T1f in Lp for some non-positive contractions on Lp, 1 <p < ∞

    A weighted pointwise ergodic theorem

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    We prove the following weighted ergodic theorem: Let (Xn) be an i.i.d. sequence of symmetric random variables such that E(|X1|p) < ∞ for some p, 1 < p < ∞. Then there exists a set of full measure Ω such that for ω ∈ Ω the following holds: For all dynamical systems(Y,g,ν,S), for all r, 1 < r ≤ ∞ and g ∈ Lr(ν) the averages 1/NΣn=1NXn(ω)g(Sny) converge p.s. ν

    Pointwise characteristic factors for the multiterm return times theorem

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    This paper is an update and extension of a result the authors first proved in 2003. The goal of this paper is to study factors which are known to be L^2-characteristic for certain nonconventional averages and prove that these factors are pointwise characteristic for the multidimensional return times averages.Comment: 31 pages Submitted and Accepted to ETDS Dan Rudolph Memorial Volume. This version is the final accepted copy and includes all of the revisions recommended by the referee

    Properties of Wiener-Wintner dynamical systems

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    Uniformity in the Wiener-Wintner theorem for nilsequences

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    We prove a uniform extension of the Wiener-Wintner theorem for nilsequences due to Host and Kra and a nilsequence extension of the topological Wiener-Wintner theorem due to Assani. Our argument is based on (vertical) Fourier analysis and a Sobolev embedding theorem.Comment: v3: 18 p., proof that the cube construction produces compact homogeneous spaces added, measurability issues in the proof of Theorem 1.5 addressed. We thank the anonymous referees for pointing out these gaps in v
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