The Maximum Variance of a Finite Sequence, Given Its Mean, Minimum, and Maximum

This paper derives the maximum variance of a finite sequence of real numbers, given their mean, minimum and maximum. An example is provided in which the maximum variance is less than half of the Bhatia-Davis upper bound, (maximum – mean)(mean – minimum). As the length of the sequence increases, the maximum variance under these constraints approaches this bound.

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Publication Details

Journal
American Mathematical Monthly
Published
2026-08-24
DOI
https://doi.org/10.1080/00029890.2026.2708352
Primary Topic
Probability and Risk Models
Type
article
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article

The Maximum Variance of a Finite Sequence, Given Its Mean, Minimum, and Maximum

Jules L. Ellis
American Mathematical Monthly
Probability and Risk Models
article

The Maximum Variance of a Finite Sequence, Given Its Mean, Minimum, and Maximum

Jules L. Ellis
article en

Abstract

This paper derives the maximum variance of a finite sequence of real numbers, given their mean, minimum and maximum. An example is provided in which the maximum variance is less than half of the Bhatia-Davis upper bound, (maximum – mean)(mean – minimum). As the length of the sequence increases, the maximum variance under these constraints approaches this bound.

American Mathematical Monthly
Methodist University (US)
Reduced inequalities
Openalex Percentile: Top 6%
Probability and Risk Models
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The Maximum Variance of a Finite Sequence, Given Its Mean, Minimum, and Maximum — Jules L. Ellis · American Mathematical Monthly (2026) | TGRS Research Map | TGRS