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Szemerédi's regularity lemma revisitedby: Terence Tao
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Notes for this articleLemma 4.4 gives an inequality relating conditional expectation to conditional information that is similar to Pinsker's inequality.
See also: Rudolf Ahlswede's "The final form of Tao’s inequality relating conditional expectation and conditional mutual information" in which Tao's bound of 2 is reduced to (2 ln 2)^(1/2).
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AbstractSzemerédi's regularity lemma is a basic tool in graph theory, and also plays an important role in additive combinatorics, most notably in proving Szemerédi's theorem on arithmetic progressions . In this note we revisit this lemma from the perspective of probability theory and information theory instead of graph theory, and observe a variant of this lemma which introduces a new parameter $F$. This stronger version of the regularity lemma was iterated in a recent paper of the author to reprove the analogous regularity lemma for hypergraphs.
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