An extension of Gauss's arithmetic-geometric mean (AGM) to three variables iteration scheme
Kiyoshi Sogo

TL;DR
This paper generalizes Gauss's AGM to a three-variable iteration scheme, deriving its limit expressed via Appell's hypergeometric function and establishing a new relation between hypergeometric functions.
Contribution
It introduces a novel three-variable AGM extension, providing explicit limit expressions using Appell's hypergeometric function and linking it to Gauss's AGM.
Findings
The three-variable iteration converges to a limit involving Appell's hypergeometric function.
A new relation between Gauss's and Appell's hypergeometric functions is established.
The scheme reduces to classical AGM when the third variable is zero.
Abstract
Gauss's arithmetic-geometric mean (AGM) which is described by two variables iteration by . We extend it to three variables iteration which reduces to Gauss's AGM when . Our iteration starting from with further restriction converges to and . The limit is expressed by Appell's hyper-geometric function of two variables which are determined by . A relation between two hyper-geometric functions (Gauss's and Appell's) is found as a by-product.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Optimization Algorithms Research
