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A Central Limit Theorem and Law of the Iterated Logarithm for a Random Field with Exponential Decay of Correlations

机译:具有指数相关性的随机域的中心极限定理和迭代对数律

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In cite{P69}, Walter Philipp wrote that ``dots the law of theiterated logarithm holds for any process for which the Borel-CantelliLemma, the central limit theorem with a reasonably good remainder anda certain maximal inequality are valid.'' Many authors cite{DW80},cite{I68}, cite{N91}, cite{OY71}, cite{Y79} have followed thisplan in proving the law of the iterated logarithm for sequences (orfields) of dependent random variables.We carry on this tradition by proving the law of the iteratedlogarithm for a random field whose correlations satisfy an exponentialdecay condition like the one obtained by Spohn cite{Sp86} forcertain Gibbs measures. These do not fall into the $phi$-mixing orstrong mixing cases established in the literature, but are needed forour investigations cite{SS01} into diffusions on configurationspace. The proofs are all obtained by patching together standard results fromcite{OY71}, cite{Y79} while keeping a careful eye on thecorrelations.
机译:沃尔特·菲利普(Walter Philipp)在引文{P69}中写道,“点对点对数定律适用于Borel-CantelliLemma,具有相当好的余数和某些最大不等式的中心极限定理有效的任何过程。”许多作者引用{DW80},cite {I68},cite {N91},cite {OY71},cite {Y79}遵循此计划,证明了相关随机变量序列(或域)的迭代对数定律。证明一个随机字段的迭代对数定律,该字段的相关性满足指数衰减条件,例如Spohn cite {Sp86}获得的吉布斯测度。这些不属于文献中确立的$ phi $ -mixing或强混合的情况,但是我们的研究需要{SS01}进入配置空间的扩散。证明都是通过将cite {OY71},cite {Y79}的标准结果拼凑在一起而获得的,同时要密切注意相关性。

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