The largest 5th pivot may be the root of a 61st degree polynomial
James Chen, Alan Edelman, and John Urschel

TL;DR
This paper develops new techniques combining numerical and exact computations to precisely identify the maximum growth factor in Gaussian elimination with complete pivoting for small matrices, revealing it as a root of a 61st degree polynomial.
Contribution
It introduces a novel approach using JuMP, Groebner bases, and interval arithmetic to exactly determine the maximum growth factor, providing the first exact polynomial characterization for n=5.
Findings
Exact maximum growth factor for n=5 is the root of a 61st degree polynomial.
The maximum value matches previous numerical results of approximately 4.1325.
The paper proposes a conjecture that this value is the true maximum.
Abstract
This paper introduces a number of new techniques in the study of the famous question from numerical linear algebra: what is the largest possible growth factor when performing Gaussian elimination with complete pivoting? This question is highly complex, due to a complicated set of polynomial inequalities that need to be simultaneously satisfied. This paper introduces the JuMP + Groebner basis + discriminant polynomial approach as well as the use of interval arithmetic computations. Thus, we are introducing a marriage of numerical and exact mathematical computations. In 1988, Day and Peterson performed numerical optimization on with NPSOL and obtained a largest seen value of . This same best value was reproduced by Gould with LANCELOT in 1991. We ran extensive comparable experiments with the modern software tool JuMP and also saw the same value . While the…
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Taxonomy
TopicsPolynomial and algebraic computation · Numerical Methods and Algorithms · Cryptography and Residue Arithmetic
