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arXiv 1008.4113math.DS
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算子更新理论与无穷测度动力系统的混合率

Operator renewal theory and mixing rates for dynamical systems with infinite measure

Ian Melbourne, Dalia Terhesiu

摘要:

我们在无限遍历论的背景下发展了算子更新序列的理论。对于大类保持无穷测度的动力系统,我们确定了转移算子迭代$L^n$的渐近行为。这在以前是一个棘手的问题。我们的结果所涵盖的系统的例子包括(i)抛物有理映射的复平面和(ii)(不一定是马尔可夫)非一致扩展的区间映射与冷漠的不动点。此外,我们给出了一个特别简单的证明逐点对偶遍历性(渐近行为的$\sum_{j=1}^nL^j$)的一类系统正在考虑。在某些情况下,包括Pomeau-Manneville不规则映射,我们得到高阶展开的$L^n$和混合率。此外,我们还得到了相应的Dynkin-Lamperti反正弦律的误差估计。

英文摘要:

We develop a theory of operator renewal sequences in the context of infinite ergodic theory. For large classes of dynamical systems preserving an infinite measure, we determine the asymptotic behaviour of iterates $L^n$ of the transfer operator. This was previously an intractable problem. Examples of systems covered by our results include (i) parabolic rational maps of the complex plane and (ii) (not necessarily Markovian) nonuniformly expanding interval maps with indifferent fixed points. In addition, we give a particularly simple proof of pointwise dual ergodicity (asymptotic behaviour of $\sum_{j=1}^nL^j$) for the class of systems under consideration. In certain situations, including Pomeau-Manneville intermittency maps, we obtain higher order expansions for $L^n$ and rates of mixing. Also, we obtain error estimates in the associated Dynkin-Lamperti arcsine laws.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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