2015
DOI: 10.4007/annals.2015.181.1.4
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Random walks in Euclidean space

Abstract: Abstract. Fix a probability measure on the space of isometries of Euclidean spacebe a sequence of random points such that Y l+1 is the image of Y l under a random isometry of the previously fixed probability law, which is independent of Y l . We prove a Local Limit Theorem for Y l under necessary non-degeneracy conditions. Moreover, under more restrictive but still general conditions we give a quantitative estimate which describes the behavior of the law of Y l on scales e −cl 1/4 < r < l

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Cited by 9 publications
(9 citation statements)
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References 16 publications
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“…Using the result of [3] we give an affirmative answer (see [10]). We note that the same question has been recently solved in full generality in [51] i.e without using the spectral gap property in SU (d). Our method here is of general interest in the larger context of Markov operators with a Hilbert space spectral condition, i.e Q strongly mixing in the sense of [45].…”
Section: Remark 36mentioning
confidence: 80%
“…Using the result of [3] we give an affirmative answer (see [10]). We note that the same question has been recently solved in full generality in [51] i.e without using the spectral gap property in SU (d). Our method here is of general interest in the larger context of Markov operators with a Hilbert space spectral condition, i.e Q strongly mixing in the sense of [45].…”
Section: Remark 36mentioning
confidence: 80%
“…His argument was corrected and the results extended by Guivarc'h [Gu76] (see also [Vo04]). An important advance in the case when X equals the isometry group of Euclidean n-space was very recently obtained by Varju [Va12]. Breuillard has obtained positive results when X is the Heisenberg group [Br05] and the averages are random walk averages.…”
Section: Ratio Equidistribution Of Dense Subgroupsmentioning
confidence: 99%
“…In this subsection we formulate the precise local limit theorems with large deviations for the coefficients f, G n v . For sums of independent real-valued random variables, local limit theorems with large and moderate deviations can be found for instance in Gnedenko [28], Sheep [54], Stone [55], Borovkov and Borovkov [7], Breuillard [10], Varju [56]. For products of random matrices, such types of local limit theorems for the vector norm |G n v| have been recently established in [6,57,58].…”
Section: Local Limit Theorems With Large Deviations For Coefficientsmentioning
confidence: 99%