Linear variance conjecture for zero-free probability generating functions
Linear variance conjecture for zero-free probability generating functions
Let be a random variable with and probability generating function . Let and . If every zero of satisfies
and
then Linear variance conjecture.
The conjecture asserts that, under these zero-location restrictions, the variance is essentially as large as possible; the source states that it remains of independent interest and motivates the paper's work.
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Sources & referencesView supporting material
Primary source
Marcus Michelen and Julian Sahasrabudhe, “Anti-concentration of random variables from zero-free regions”, arXiv:2102.07699 (2022).
Additional references
2 papers in this index state this conjecture (2019–2021). The statement above is taken from the most recent of them; the others are arXiv:1906.02602.
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