The notorious Jacobian conjecture can be formulated concretely over the complex numbers as follows.
Conjecture 1 (Jacobian Conjecture) Letbe a polynomial map in
complex variables, whose Jacobian
is a non-zero constant. Then
is invertible (with polynomial inverse).
The condition that the Jacobian is non-zero is equivalent to
being locally invertible. (The implication of local invertibility from non-vanishing Jacobian follows from the inverse function theorem; the converse implication can be derived from the Weierstrass preparation theorem, but is omitted here.) Also, from the fundamental theorem of algebra, once the Jacobian polynomial
is non-zero, it must be constant. So the hypothesis “Jacobian
is a non-zero constant” can be replaced with “
is locally invertible”. So the Jacobian conjecture can be viewed as an assertion that local invertibility implies global invertibility. The complex numbers can be easily replaced with other fields of characteristic zero by the Lefschetz principle, but I prefer to work in the concrete setting of the complex numbers.
Recently, it was recently shown (using the Fable AI) that the conjecture is false in three dimensions (and thus in higher dimensions as well):
Theorem 2 (Counterexample to conjecture) There exists a polynomialwhich has non-zero constant Jacobian, but is not invertible.
The conjecture remains open in two dimensions, and is easy to establish in one dimension.
The example can be stated completely explicitly: one can take
The example has since been retroactively explained in more geometric terms. As a “digestion” exercise to myself, I sought to write this explanation with relatively little use of algebraic geometry, in a manner that minimizes the amount of “miracles” required, although there are still a few places were some remarkable phenomena occur.
It is convenient to use the local injectivity formulation, and to generalize the domain to an equivalent affine variety. Namely, we will show
Theorem 3 (Counterexample, reformulated) There exists an affine varietythat is isomorphic to
by polynomial changes of variable, and a polynomial map
which is locally injective, but not globally injective.
Clearly one can get from Theorem 3 to Theorem 2 by composing with the isomorphism and using the previously mentioned fact that local injectivity implies non-zero constant Jacobian. Our objective is now to find data
,
that obeys three separate properties:
It turns out that and
can be built out of the operation of multiplication of low degree polynomials. Namely, consider the following three simple affine spaces:
The map , essentially a map from
to
, is clearly polynomial; in coordinates it is given explicitly in coordinates as
The five-dimensional domain is of course larger than the four-dimensional range
, so the map
clearly cannot be injective. This can already be seen from the scaling symmetry, as the specific scalings
It will be convenient to “spend” the scaling symmetry to obtain a useful normalization. If
is a linear polynomial and
is a quadratic polynomial, the resultant
can be defined by the determinant
We now have a restricted multiplication map (which by abuse of notation we will continue to call ) from the four-dimensional variety
But we now also have property (a)! Suppose we want to show the local injectivity of in the neighborhood of a pair
with
. As the resultant is non-vanishing, the root
of
(which exists in the Riemann sphere, or projective line if you prefer) is distinct from the two roots
of
(though the latter two roots could be equal to each other). Applying the
action (which performs Möbius transforms on the roots), one can assume without loss of generality that
is the point at infinity (or equivalently
), thus
for some complex number
and
for some complex numbers
, with the resultant condition (7) simplifies to
(so in particular
are also non-zero). It is then clear that if one perturbs
and
by a small amount (say, modifying each coefficient by
), then the root
of
will perturb to something large (
), while the roots
of
stay bounded. Thus, just from knowledge of the product
, one can reconstruct which of the three roots of this cubic polynomial will be the perturbed root of
, and which two will be the perturbed roots of
; from this and (6), (7) we can also reconstruct the leading coefficient
of
, and this completely determines both
and
. This establishes the local injectivity property (a). (In fact it is étale, but we will not need the machinery of étale maps here.)
Unfortunately, (the four-dimensional analogue of) condition (c) fails: the quadric hypersurface (8) is not isomorphic to the affine space . But we can try to get around this by passing to a three-dimensional slice. Let
be some three-dimensional affine plane of
(which we will take to avoid the origin for technical reasons), then we can restrict
as a map from the set
Let’s see how. The affine hyperplanes in avoiding the origin are parameterized by the dual space of
avoiding the origin, which one can think of as the non-zero third order homogeneous differential operators
in two variables. Indeed, every such operator
generates affine hyperplane
that avoids the origin, and conversely by duality every affine hyperplane avoiding the origin arises in this form uniquely. Just as the cubic polynomials in
can be factored into three linear polynomials, the differential operators in the dual space
can also be factored into three linear differential operators, e.g.,
It turns out that the affine miracle for (9) occurs precisely in the second case, when has two identical roots. I do not have a completely satisfactory geometric explanation for this miracle, but one can verify it by the following coordinate computation.
By applying the action, we can normalize so that
, thus
is now the affine hyperplane of cubic polynomials
with
. Using (2) and (5), the variety (9) can now be described explicitly in coordinates as
So we just need to glue back in the fiber. Indeed, from (10) we see that the fiber at
is just
The standard way to proceed here is to manipulate various tangent spaces using the modern machinery of algebraic geometry and commutative algebra, but given my own background, I prefer to adopt the language of analysis, and in particular big-O notation (in place of the ideals used in algebraic geometry), in order to investigate the limit by hand. On the variety (10), let us use
to denote any multiple of
by a polynomial expression in
. Thus, for instance, the equation
implies that
We can get some more precise asymptotics by also taking advantage of (15). Substituting into (15), we obtain after some algebra
Expanding the error term in (16) as
, and doing a little more algebra, we thus have a polynomial change of variables
The previous computations, when expanded out, also gives polynomial inverse maps:
AI disclosure: I used an AI chatbot to discuss various aspects of this problem and to confirm several of the calculations made here.