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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