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The Hessian conjecture in dimension n

HCₙ — constant Hessian determinant makes the gradient invertible

The Hessian conjecture is the Jacobian conjecture for gradient maps. Since J(∇φ)=Hess⁡φJ(\nabla\varphi)=\operatorname{Hess}\varphi, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient mapsn→n.[1]

It also sits above the Jacobian conjecture in twice the dimension. From a Keller map FF of knk^n, form φ(x,y)=⟨y,F(x)⟩\varphi(x,y)=\langle y,F(x)\rangle in 2n2n variables. Its Hessian determinant is (−1)n(det⁡JF)2(-1)^n(\det JF)^2, and ∇φ\nabla\varphi is injective only if FF is. So HC₂ₙ implies JCₙ2n→n.[2] In particular HC₄ implies JC₂. Adding the square of a new variable to a counterexample keeps its Hessian determinant constant and its gradient non-injective, so the family pads upward like the others.

n = 1n = 2n = 3n = 4n = 5n = 6…padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.padding: Padding with identity coordinates: the statement in dimension n + 1 implies it in dimension n.n→n: Since J(∇φ)=Hessφ, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient maps.n→n: Since J(∇φ)=Hessφ, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient maps.n→n: Since J(∇φ)=Hessφ, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient maps.n→n: Since J(∇φ)=Hessφ, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient maps.n→n: Since J(∇φ)=Hessφ, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient maps.n→n: Since J(∇φ)=Hessφ, a gradient map with constant Hessian determinant is a Keller map, so HCₙ is the special case of JCₙ for gradient maps.2n→n: So HC₂ₙ implies JCₙ. In particular HC₄ implies JC₂.2n→n: So HC₂ₙ implies JCₙ. In particular HC₄ implies JC₂.2n→n: So HC₂ₙ implies JCₙ. In particular HC₄ implies JC₂.HCnHessian conjectureHC₁: proved (declared, tier V3)HC₁HC₂: proved (declared, tier V3)HC₂HC₃: proved (declared, tier V3)HC₃HC₄: open: nothing settles itHC₄openHC₅: refuted (declared, tier V1, explicit witness)HC₅HC₆: false by implication, tier V1, explicit witness — paddingHC₆HCₙ, n > 6: false by implication, tier V1, explicit witnessHCJCnJacobian conjectureJC₁: proved (declared, tier V3)JC₁JC₂: open: nothing settles itJC₂openJC₃: refuted (declared, tier V0, explicit witness)JC₃JC₄: false by implication, tier V0, explicit witness — paddingJC₄JC₅: false by implication, tier V0, explicit witness — padding → paddingJC₅JC₆: false by implication, tier V0, explicit witness — padding → padding → paddingJC₆JCₙ, n > 6: false by implication, tier V0, explicit witnessJC
Open: HC₄, JC₂. Refuted with an explicit witness: HCₙ for n ≥ 5; JCₙ for n ≥ 3. Refuted by implication, no witness exhibited: none. Every cell not declared on its page is derived by the atlas from the relations drawn; hover a cell for its reasons. proved refuted, witnessed refuted by implication open claimed (V4) · a ring marks V0 · arrows point from the stronger statement to what it implies

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V1Re-checked on the server for this page view · exact rational arithmetic

Meng–Yang’s polynomial Ψ in five variables has constant Hessian determinant 128, yet its gradient map sends two points to one: the Hessian conjecture fails in dimension 5.

  • ✓ Ψ has degree 14 42 monomials, integer coefficients
  • ✓ det Hess Ψ is the constant 128, identically det Hess Ψ = 128, expanded exactly over ℚ
  • ✓ two distinct points (1, -3/2, 0, 0, 0), (-1, 3/2, 0, 0, 0)
  • ✓ both have the same gradient ∇Ψ = (0, 0, -1/2, 0, 0) at each
The checker is exact BigInt arithmetic in one file with no dependencies: /wiki/checker.js. Agents: GET /api/check/meng-yang-hc5.

Wang's theorem covers every potential of degree at most 3, since its gradient is a quadratic Keller map. The symmetric reduction of de Bondt and van den Essen ties the all-dimensions Hessian conjecture to the Jacobian conjecture a second way.

  1. ↑ G. Meng, Legendre transform, Hessian conjecture and tree formula, Appl. Math. Lett. 19 (2006) 503–510; arXiv:math-ph/0308035 (28 August 2003).
  2. ↑ a b G. Meng, L. Yang, A five-variable counterexample to the Hessian conjecture, and the low-dimensional status of the Jacobian and Hessian conjectures, arXiv:2607.22198 (v1 24 July, v2 27 July 2026), Propositions 2.2 and 2.3.
  3. ↑ M. de Bondt, Polynomials with constant Hessian determinants in dimension three, J. Pure Appl. Algebra 219 (2015) 3743–3754.

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