An Extension of Steffensen's Inequality

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Autor principal: Tuan, Tran
Formato: Recurso digital
Publicado: Zenodo 2026
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author Tuan, Tran
author_facet Tuan, Tran
contents <p>In this paper, we present a generalized, two-sided extension of Steffensen’s in<br>equality. By introducing a scaling parameter derived from the bounds of the weight<br>function, we establish rigorous upper and lower integral bounds for non-negative,<br>integrable functions that exhibit either monotonically decreasing or monotonically<br>increasing behavior. While the classical formulation strictly confines the weight<br>function to the interval [0,1], our approach generalizes this result by scaling the<br>bounded weight function, allowing g(x) ∈ [c,d] with c ≥ 0, and defining the scaled<br>parameter k = 1<br>d <br>b<br>ag(x)dx. This analytical tool serves as a foundational lemma for<br>advanced integral theories.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20328274
institution Zenodo
language
publishDate 2026
publisher Zenodo
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spellingShingle An Extension of Steffensen's Inequality
Tuan, Tran
Mathematical analysis
Pure mathematics
Applied mathematics
Mathematics/history
Mathematics/methods
Mathematics/statistics & numerical data
<p>In this paper, we present a generalized, two-sided extension of Steffensen’s in<br>equality. By introducing a scaling parameter derived from the bounds of the weight<br>function, we establish rigorous upper and lower integral bounds for non-negative,<br>integrable functions that exhibit either monotonically decreasing or monotonically<br>increasing behavior. While the classical formulation strictly confines the weight<br>function to the interval [0,1], our approach generalizes this result by scaling the<br>bounded weight function, allowing g(x) ∈ [c,d] with c ≥ 0, and defining the scaled<br>parameter k = 1<br>d <br>b<br>ag(x)dx. This analytical tool serves as a foundational lemma for<br>advanced integral theories.</p>
title An Extension of Steffensen's Inequality
topic Mathematical analysis
Pure mathematics
Applied mathematics
Mathematics/history
Mathematics/methods
Mathematics/statistics & numerical data
url https://doi.org/10.5281/zenodo.20328274