Sumset and inverse sumset theorems for Shannon entropy

Mathematics – Combinatorics

Scientific paper

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32 pages, no figures, to appear, Combinatorics, Probability, and Computing. This is the final version, incorporating the secon

Scientific paper

Let $G = (G,+)$ be an additive group. The sumset theory of Pl\"unnecke and Ruzsa gives several relations between the size of sumsets $A+B$ of finite sets $A, B$, and related objects such as iterated sumsets $kA$ and difference sets $A-B$, while the inverse sumset theory of Freiman, Ruzsa, and others characterises those finite sets $A$ for which $A+A$ is small. In this paper we establish analogous results in which the finite set $A \subset G$ is replaced by a discrete random variable $X$ taking values in $G$, and the cardinality $|A|$ is replaced by the Shannon entropy $\Ent(X)$. In particular, we classify the random variable $X$ which have small doubling in the sense that $\Ent(X_1+X_2) = \Ent(X)+O(1)$ when $X_1,X_2$ are independent copies of $X$, by showing that they factorise as $X = U+Z$ where $U$ is uniformly distributed on a coset progression of bounded rank, and $\Ent(Z) = O(1)$. When $G$ is torsion-free, we also establish the sharp lower bound $\Ent(X+X) \geq \Ent(X) + {1/2} \log 2 - o(1)$, where $o(1)$ goes to zero as $\Ent(X) \to \infty$.

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