Exact obstructions to descending the cubic construction#
The threefold counterexample is affine-linear in its extra variable and is a forgetful map for a marked binary cubic. Every direct way we found to remove that variable can be excluded uniformly, not merely by a bounded search.
Affine-linear coordinate theorem#
Theorem. Let \(P,Q\in\mathbb C[x,y]\) satisfy \(J(P,Q)=\kappa\ne0\). If one coordinate is affine-linear in one source variable, then \((P,Q)\) is a polynomial automorphism.
Write
For \(a\ne0\), the coefficient of \(y^m\) in the Jacobian is
so \(q_m=\lambda a^m\). Subtracting \(\lambda P^m\) from \(Q\) and repeating gives
Therefore
Both factors are units of \(\mathbb C[x]\), hence constants, and the resulting map is triangular after a target shear. If \(a=0\), then \(\kappa=b'(x)Q_y\), and the same unit argument again gives a triangular map.
This pinpoints the dimensional break: “linear in the extra variable” is a rich threefold ansatz, but a trivial plane ansatz.
Marked affine planes of binary forms#
The obstruction survives every degree. Let
be a genuine affine two-plane of binary forms, dehomogenize by \(q_i(w)=Q_i(w,1)\), and use the same projective-root chart as the threefold example,
Suppose polynomial outputs \(A,B\) satisfy
Put
Since \((x,w)\) has the same area form as \((x,y)\), differentiation at fixed \(w\) and at fixed \(x\) gives
Taking the indicated determinants yields the exact identity
If \(J(A,B)=\kappa\ne0\), integration in \(x\) gives
This is impossible in \(\mathbb C(w)(x)\): the right side has valuation one at its linear factor in \(x\), whereas every rational square has even valuations. Finally \(D=0\) would imply \(q_2/q_1\in\mathbb C\), contradicting independence of the two direction forms.
Consequence. No affine two-plane of binary cubics, quartics, sextics, or forms of any degree can reproduce the marked-root construction in this chart. The third free coefficient in dimension three is essential.
Polynomial graphs and linear target projections#
Another tempting descent is to choose a polynomial graph \(z=g(x,y)\), perhaps one passing through all three colliding source points, and retain two linear combinations of the three outputs. This also fails for every polynomial \(g\).
The highest homogeneous parts of the restricted outputs are
where
In either case \(R_x\ne0\), and the three leading Jacobians are
Row-reducing any rank-two linear target projection gives one of these three pivot cases. The gaps between the coordinate degrees make its displayed term the unique highest Jacobian term, so it cannot be a nonzero constant.
This includes the simple interpolating graph
which contains all three known colliding points. The exact quadratic
coefficient search in research/n2/search_graph_sections.py independently
returns the unit ideal in every target-projection chart.
Arbitrary target polynomials on the collision graph#
The same quadratic graph admits a stronger, purely local obstruction. Put
and order the tangent minors as \(\bigl(J(A,B),J(A,C),J(B,C)\bigr)\). At the three colliding points they form the exact matrix
Its rows satisfy
Now let \(R,S\in\mathbb C[a,b,c]\) be arbitrary target polynomials, not necessarily linear. All three source points have the same target value, so the coefficients of the target two-form \(dR\wedge dS\) are the same vector \(\omega\in\mathbb C^3\) at all three. The chain rule says that the three restricted Jacobians are \(M_i\omega\). If they were one nonzero constant \(\kappa\), the row relation would give
a contradiction. Thus this natural collision graph cannot be repaired by any nonlinear polynomial change of target functions. The matrix and row relation are part of the exact SymPy certificate.
Nonlinear equivariant target slices#
There is one more tempting escape from the linear-slice theorem. The target weights \((-2,-1,1)\) permit triangular homogeneous coordinates such as
Could \(R_\phi(F)\) or \(S_\psi(F)\) become a source coordinate even though no linear output does? They cannot.
Recall the source invariants \(u=xy\), \(v=x^2z\) and the semi-invariant numerators \(a,b,c\) from Plane near-models. If \(r=R_\phi(F)\) were a coordinate, then \(V(r)\cong\mathbb A^2\) would carry the restricted \(\mathbb C^*\)-action. Its tangent weights at the origin are \((1,-1)\). Every algebraic torus action on the affine plane is linearizable [Gutwirth, 1962], so its invariant ring would be a polynomial ring in one variable. Exactness of invariants for the reductive group \(\mathbb C^*\), together with the fact that every weight-two source polynomial is \(x^2\mathbb C[u,v]\), instead gives
This curve is not \(\mathbb A^1\). If \(\phi\) has degree \(m\) and nonzero leading coefficient \(\ell\), then
It has two distinct points at infinity, whereas \(\mathbb A^1\) has one. For \(\phi=0\), already \(a=(1+u)(3u^3+u^2v+4u^2+2uv+v)\) is reducible. Hence no \(R_\phi(F)\) is a coordinate.
The weight-minus-one family is even more rigid. If \(s=S_\psi(F)\) were a coordinate, the same argument with tangent weights \((1,-2)\) would give
But at \(u=-1\) one has \(a=0\) and \(b=2\). Therefore \(1+u\) is a visibly nonconstant unit on this quotient curve, impossible in \(\mathbb C[t]\).
The closest special case is \(R=A+\lambda B^2\). For \(k=a+\lambda b^2\),
Thus \(1+u\) is a nonconstant unit when \(\lambda\ne0\), while \(\lambda=0\) returns the reducible \(F_1\) slice. Even the unusually simple value \(\lambda=-1/12\) does not escape: using \(a=(b-u)(1+u)/3\) gives
but the apparent affine-line parameter misses \(1+u=0\) and is a punctured line. This rules out the most natural nonlinear slice that fills the missing divisor of the \(F_1=-1/4\) fiber. It does not classify every nonlinear target coordinate, so genuinely nonequivariant slices remain an open route.
No linear output can be the lowering coordinate#
Let \(L=\alpha F_1+\beta F_2+\gamma F_3=h(x,y)z+g(x,y)\). Its \(z\)-coefficient is
On a component \(1+xy=rx\) of \(h=0\), where
the constant term reduces exactly to
Each such component is a copy of \(\mathbb C^*\). Additivity of the compactly supported Euler characteristic shows that a generic fiber of \(L\) has
where \(N\) counts the components on which the displayed Laurent polynomial is nonconstant, with the elementary \(x=0\) correction when \(\alpha=0\). Unless \(L\) is proportional to \(F_1\), one has \(N\ge1\), so the generic fiber is not \(\mathbb A^2\). The remaining cases are also impossible:
\(F_1\) is reducible as a polynomial, so it is not a coordinate;
if \(\alpha=0,\beta\ne0\), the generic Euler characteristic is at least two;
\(F_3=x(2-3xy-x^2z)\) has generic fiber with a nonconstant unit and Euler characteristic zero.
Thus no nonzero linear combination of the three outputs is a source coordinate. Linear target slicing cannot turn the threefold collision into a plane Keller collision.