Polynomials with constant Hessian determinants in dimension three
Michiel de Bondt

TL;DR
This paper proves the Jacobian conjecture for gradient maps in dimensions up to three over characteristic zero fields, extending known results about polynomials with constant Hessian determinants and their transformations.
Contribution
It extends the classification of polynomials with constant Hessian determinants to dimension three and verifies the Jacobian conjecture for gradient maps in low dimensions over characteristic zero fields.
Findings
Jacobian conjecture holds for gradient maps in dimension n <= 3.
Polynomials with constant Hessian determinant can be transformed to have zero Hessian matrix below the anti-diagonal.
Gradient maps with identity linear part over the reals are translations if they satisfy the Keller condition.
Abstract
In this paper, we show that the Jacobian conjecture holds for gradient maps in dimension n <= 3 over a field K of characteristic zero. We do this by extending the following result for n <= 2 by F. Dillen to n <= 3: if f is a polynomial of degree larger than two in n <= 3 variables such that the Hessian determinant of f is constant, then after a suitable linear transformation (replacing f by f(Tx) for some T in GL_n(K)), the Hessian matrix of f becomes zero below the anti-diagonal. The result does not hold for larger n. The proof of the case det Hf in K* is based on the following result, which in turn is based on the already known case det Hf = 0: if f is a polynomial in n <= 3 variables such that det Hf <> 0, then after a suitable linear transformation, there exists a positive weight function w on the variables such that the Hessian determinant of the w-leading part of f is nonzero.…
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