Theoretical analysis reveals solutions for minimal-area ellipses passing through fixed points via positive-definite matrix optimization, suggesting deep geometric links to spectral theory.
FINDING: Euler's extremal ellipse problem (minimal area/perimeter ellipses through fixed points) is a variational geometry problem with deep connections to quadratic forms and spectral theory. | MATH: The problem reduces to finding the ellipse \( x^T A x = 1 \) (A positive-definite 2×2) minimizing area \( π/√ A \) or perimeter (elliptic integral) subject to \( p_i^T A p_i = 1 \) for fixed points \( p_i \). This is a constrained optimization on the cone of positive-definite matrices — equivalent to a generalized eigenvalue problem \( A p_i = λ_i p_i \) in the dual space. | CONNECTION: The extremal ellipse's axes ratio \( a/b \) is governed by the condition number of A. For 3 points, the solution is the Steiner circumellipse (ratio 2:1, area minimal), whose axes ratio is \( √3 ≈ 1.732 \) — not a golden ratio, but the *dual* ellipse (circumellipse of the medial triangle) has axes ratio \( 1/√{ Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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