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ON UNIFORM CONVERGENCE IN ERGODIC THEOREMS FOR A CLASS OF SKEW PRODUCT TRANSFORMATIONS

机译:一类斜乘积变换的人体定理的一致收敛性

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摘要

Consider a class of skew product transformations consisting of an ergodic or a periodic transformation on a probability space (M, ß, μ.) in the base and a semigroup of transformations on another probability space (Ω,F, P) in the fibre. Under suitable mixing conditions for the fibre transformation, we show that the properties ergodicity, weakly mixing, and strongly mixing are passed on from the base transformation to the skew product (with respect to the product measure). We derive ergodic theorems with respect to the skew product on the product space. The main aim of this paper is to establish uniform convergence with respect to the base variable for the series of ergodic averages of a function F on M ×Ω along the orbits of such a skew product. Assuming a certain growth condition for the coupling function,a strong mixing condition on the fibre transformation,and continuity and integrability conditions for F, we prove uniform convergence in the base and L~p (P)-convergence in the fibre. Under an equicontinuity assumption on F we further show P-almost sure convergence in the fibre. Our work has an application in information theory: It implies convergence of the averages of functions on random fields restricted to parts of stair climbing patterns defined by a direction.
机译:考虑一类偏乘积变换,该变换由在基部概率空间(M,ß,μ。)上的遍历或周期变换以及在光纤中另一概率空间(Ω,F,P)上的半组变换组成。在适合于纤维转化的混合条件下,我们表明,遍历性,弱混合和强混合特性从基本转化传递到倾斜的产品(相对于产品度量)。我们推导出关于乘积空间上偏乘积的遍历定理。本文的主要目的是针对沿着这样的偏积轨道的M×Ω上的函数F的遍历平均值系列建立基本变量的一致收敛。假设偶合函数具有一定的增长条件,纤维转变具有很强的混合条件,F的连续性和可积性条件,则证明了基态的均匀收敛和光纤的L〜p(P)收敛。在F的等连续性假设下,我们进一步证明了P在光纤中几乎可以收敛。我们的工作在信息论中有一个应用:它暗示了随机场上函数平均值的收敛,该函数场仅限于由方向定义的部分爬楼梯模式。

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