Nested Algebraic Symmetry in Inequality Proofs: A Variation on Cauchy's Classical Method

This work introduces a variation on Augustin-Louis Cauchy’s classical proof of the arithmetic–geometric mean (AM–GM) inequality as presented in his 'Cours d’analyse de l’École Royale Polytechnique'. While replacing Cauchy’s forward–backward induction with a recurrence-based argument, it retains and systematizes the nested symmetric algebraic structure that underlies the latter part of his original development. This symmetry-based approach extends naturally to other canonical inequalities, including Jensen’s, Minkowski’s, and — via mild algebraic elaboration — Hölder’s inequality.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15453899
Primary Topic
Mathematics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nested Algebraic Symmetry in Inequality Proofs: A Variation on Cauchy's Classical Method

Zenodo (CERN European Organization for Nuclear Research)
Mathematics and Applications
article

Nested Algebraic Symmetry in Inequality Proofs: A Variation on Cauchy's Classical Method

article en

Abstract

This work introduces a variation on Augustin-Louis Cauchy’s classical proof of the arithmetic–geometric mean (AM–GM) inequality as presented in his 'Cours d’analyse de l’École Royale Polytechnique'. While replacing Cauchy’s forward–backward induction with a recurrence-based argument, it retains and systematizes the nested symmetric algebraic structure that underlies the latter part of his original development. This symmetry-based approach extends naturally to other canonical inequalities, including Jensen’s, Minkowski’s, and — via mild algebraic elaboration — Hölder’s inequality.

Zenodo (CERN European Organization for Nuclear Research)
Computing Center (RU)
Reduced inequalities
Openalex Percentile: Top 46%
Mathematics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.