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ON LARGE DEVIATION PRINCIPLES IN METRIC SPACES

机译:关于度量空间中的大偏差原理

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摘要

Many articles deal with large deviation principles (LDPs) (see [1–4] for instance and the references in [3, 4]), studying mainly the LDP for the sums of random elements or for various stochastic models and dynamical systems. For a sequence of random elements in a metric space, in studying LDPs it turns out natural to introduce the concepts of the local LDP and extended LDP. They enable us to state and prove LDP-type statements in those cases when the usual LDP (cf. [3, 4]) fails (see [5, 6] and Section 6 of this article). We obtain conditions for the fulfillment of the extended LDP in metric spaces. The main among these conditions is the fulfillment of the local LDP. The latter is usually much simpler to prove than the extended LDP.
机译:许多文章涉及大偏差原理(LDP)(例如,参见[1-4]和[3,4]中的参考文献),主要研究LDP的随机元素总和或各种随机模型和动力学系统。对于度量空间中的一系列随机元素,在研究LDP时自然会引入本地LDP和扩展LDP的概念。它们使我们能够在普通LDP(请参阅[3,4])失败的情况下陈述和证明LDP类型的语句(请参阅[5,6]和本文的第6节)。我们获得在度量空间中满足扩展LDP的条件。这些条件中的主要条件是本地LDP的满足。后者通常比扩展的LDP更容易证明。

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