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arxiv: 1609.01273 · v1 · pith:I7BVUXS6new · submitted 2016-09-05 · 🧮 math.PR

Lipschitz Embeddings of Random Fields

classification 🧮 math.PR
keywords lipschitzrandomalmostargumentbasubernoullicasecollection
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We consider the problem of embedding one i.i.d.\ collection of Bernoulli random variables indexed by $\mathbb{Z}^d$ into an independent copy in an injective $M$-Lipschitz manner. For the case $d=1$, it was shown by Basu and Sly (PTRF, 2014) to be possible almost surely for sufficiently large $M$. In this paper we provide a multi-scale argument extending this result to higher dimensions.

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