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arxiv: 1511.07204 · v1 · pith:NSLSL2QBnew · submitted 2015-11-23 · 🧮 math.PR

H\"older-type inequalities and their applications to concentration and correlation bounds

classification 🧮 math.PR
keywords leftrightapplicationsboundsconcentrationcorrelationfracinequalities
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Let $Y_v, v\in V,$ be $[0,1]$-valued random variables having a dependency graph $G=(V,E)$. We show that \[ \mathbb{E}\left[\prod_{v\in V} Y_{v} \right] \leq \prod_{v\in V} \left\{ \mathbb{E}\left[Y_v^{\frac{\chi_b}{b}}\right] \right\}^{\frac{b}{\chi_b}}, \] where $\chi_b$ is the $b$-fold chromatic number of $G$. This inequality may be seen as a dependency-graph analogue of a generalised H\"older inequality, due to Helmut Finner. Additionally, we provide applications of H\"older-type inequalities to concentration and correlation bounds for sums of weakly dependent random variables.

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