Euclidean quartic polynomials and associated cubic curves
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1 Introduction
Five techniques to solve a quartic equation are identified by the names
Descartes-Euler-Cardano, Ferrari-Lagrange, Neumark, Christianson-Brown,
and Yacoub-Fraidenraich-Brown. In this study, we concentrate on the lat-
ter, which relates a specific monic (and reduced) quartic polynomial P to
its Lagrange resolvent LR(P) represented as a monic cubic polynomial
This note begins by treating both polynomials P and LR(P) as vectors
in R4 and R3, respectively, and consequently connecting their Euclidean
norms k · k. It pertains to a specific category of P, specifically those for
which kPdk = kLR(Pd)k, and this collection is the focus of our investiga-
tion referred to as Euclidean-Lagrange polynomials. Here Pd represents the
depressed version of the original quartic polynomial P.
The key condition for the isometry of the Lagrange map P → LR(P) is
formulated as a quadratic equation regarding the coefficients (p, q, r) of P.
Since this equation resembles a Pythagorean theorem, we solve it entirely
using two real parameters α = 0, β = 0. The specific case α = β is fully
addressed. Another Lagrange-Euclidean polynomial is obtained as fixed
point of the Lagrange map above expressed only in terms of coefficients.
We also link a cubic curve LC(P) : y2 = LR(P)(x) and concentrate on
situations where this curve is an elliptic curve. Indeed, we found all of them
can be accessed.
In the final section, we present a new category of polynomials P, specifi-
2
cally those satisfying kPdk = h(LR(Pd)), where h denotes the Cantor height
of the cubic polynomial LR(Pd). Three instances of these polynomials, re-
ferred to as Cantor-Lagrange, are examined.
2 Euclidean-Lagrange quartic polynomials
Fix a natural number n ∈ N∗. The setting of this work is provided by the
n-dimensional real linear space of monic polynomials of grade n:
Rmn onic[x] := {P(x) = xn + a1xn−1 + ... + an; a1, ..., an ∈ R}.
It is an Euclidean space with respect to the usual scalar product of Rn
and hence the square of the induced norm is the sum of the square of the
coefficients:
2
kPk := a21 + ... + a2n.
(1)