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A proof of Feige's Conjecture

Published 10 Aug 2025 in math.PR and math.CO | (2508.07316v1)

Abstract: Let X1,...,XnX_{1}, ..., X_{n} be arbitrary non-negative independent random variables with respective expected values μi\mu_{i} at most one and $\delta &gt; 0$. We prove Feige's Conjecture $\mathbb{P} \left( \sum_{i=1}<sup>{n}</sup> X_{i} &lt; \mu + \delta \right) \geq \min \left{ \frac{\delta}{1 + \delta} \, , \, \exp \left(-1 \right) \right}$, where μ\mu is the expected value of the sum of the random variables. We show by a simple example how this inequality finds use in mathematical finance.

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