A sharp surplus bound for weighted Bernoulli sums with at most seven terms

For positive real weights summing to one, at most seven terms, common Bernoulli bias 0 < p <= 1/3, and every weight below p, a candidate exact computer-assisted argument gives non-strict mean-exceedance probability at least p + 3/256. The constant is a sharp uniform infimum for each fixed support from 4 through 7. An explicit restricted Manickam-Miklos-Singhi consequence follows.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23779014
Citations
1
Primary Topic
Advanced Combinatorial Mathematics
Type
preprint
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preprint

A sharp surplus bound for weighted Bernoulli sums with at most seven terms

Robert Barritz
1 citations
Zenodo (CERN European Organization for Nuclear Research)
Advanced Combinatorial Mathematics
preprint

A sharp surplus bound for weighted Bernoulli sums with at most seven terms

Robert Barritz
preprint en
1 citations

Abstract

For positive real weights summing to one, at most seven terms, common Bernoulli bias 0 < p <= 1/3, and every weight below p, a candidate exact computer-assisted argument gives non-strict mean-exceedance probability at least p + 3/256. The constant is a sharp uniform infimum for each fixed support from 4 through 7. An explicit restricted Manickam-Miklos-Singhi consequence follows.

Zenodo (CERN European Organization for Nuclear Research)
Advanced Combinatorial Mathematics
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A sharp surplus bound for weighted Bernoulli sums with at most seven terms — Robert Barritz · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS