2018
DOI: 10.1017/etds.2018.3
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Mutual information decay for factors of i.i.d.

Abstract: This paper is concerned with factors of independent and identically distributed processes on the $d$ -regular tree for $d\geq 3$ . We study the mutual information of values on two given vertices. If the vertices are neighbors (i.e. their distance is $1$ ), then a known inequality between the entropy of a vertex and the entropy of an edge provides an upper bound for the (normalized) mutual information. In this … Show more

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Cited by 3 publications
(4 citation statements)
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“…When Γ is a free group and the weights are all equal, we get back an inequality that was known by Bowen [10] as the fact the so-called f -invariant is nonnegative for factors of the Bernoulli shift. See also [16,Theorem 2.3], where this inequality is explicitly stated.…”
Section: 3mentioning
confidence: 99%
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“…When Γ is a free group and the weights are all equal, we get back an inequality that was known by Bowen [10] as the fact the so-called f -invariant is nonnegative for factors of the Bernoulli shift. See also [16,Theorem 2.3], where this inequality is explicitly stated.…”
Section: 3mentioning
confidence: 99%
“…It is easy to construct factor-of-IID processes for which the ratio H(X U 0 )/H(X v ) tends to the above coefficient, see the example described in [16,Section 5.1], showing that this coefficient is indeed the best possible.…”
Section: 3mentioning
confidence: 99%
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“…Although there has been a lot of progress in the case of amenable graphs [2,1,25,46,47,44,45,43], the nonamenable setting remains a rather unexplored territory; see Bowen [13] for a general result in this direction and Lyons [35] for a survey of results on a tree. See also [37,8,21,7,14,27,40] for other relevant results. We elaborate a bit on this now and explain how our results have some consequences for the gradient of Ising model on planar graphs.…”
Section: Introductionmentioning
confidence: 99%