Hölder-type inequalities and their applications to concentration and correlation bounds

preprint2015arXivOpen access

Abstract

Let Yv,v∈V,Y_v, v\in V, be [0,1][0,1]-valued random variables having a dependency graph G=(V,E)G=(V,E). We show that E[∏v∈VYv]≤∏v∈V{E[Yvχbb]}bχb, \mathbb{E}\left[\prod_{v\in V} Y_{v} \right] \leq \prod_{v\in V} \left\{ \mathbb{E}\left[Y_v^{\frac{χ_b}{b}}\right] \right\}^{\frac{b}{χ_b}}, where χbχ_b is the bb-fold chromatic number of GG. This inequality may be seen as a dependency-graph analogue of a generalised Hölder inequality, due to Helmut Finner. Additionally, we provide applications of Hölder-type inequalities to concentration and correlation bounds for sums of weakly dependent random variables.

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