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Trying multiplicative composition through cubic matrices
The idea and its outcome
This attempt uses multiplication, rather than additive collision estimates or progression first moments. Realize a positive diagonal cubic as a matrix determinant, multiply two representatives, and try to return the product to the diagonal family by an input-dependent conjugation. Unlike a fixed number-field norm, a matrix determinant can restrict to an absolutely irreducible diagonal cubic, so the existing constant-field norm obstruction does not exclude this starting point.
The attempt fails for a precise arithmetic reason. Ordinary products have a trace obstruction; modifying the product removes that obstruction but changes its determinant. Even allowing arbitrary pointwise rational scalars to repair the determinant yields only candidate product values up to . These statements are proved below. They concern this particular composition mechanism, not arbitrary rational composition laws or the density of the original cubic values. No target case is resolved.
1. A determinant model
Fix positive integers , put , and write
The choice gives after permuting variables. Let be a primitive cube root of unity and work over , with , . Define
Then , , and . The nine matrices , , form a basis of , with multiplication
All these basis matrices except have trace zero.
Set , , , and . The relation for , together with , gives
The last equality also follows from Newton's identity when the first two traces vanish. Call a matrix pure when those traces vanish. Purity is necessary for a nonzero scalar multiple of a matrix to be conjugate into . Purity alone does not give a conjugate with positive rational coordinates.
2. Ordinary products and sandwiches
Write and . Multiplication using (1) gives
For a direct check, the six coefficients of , at basis elements , are respectively
In the square, only the pairs and have scalar products. Their two orders each contribute and , respectively, proving (3).
Thus an arbitrary input-dependent conjugation and nonzero scalar can return to only if
For positive integer inputs, the distinct products $F(\mathbf x)F(\mathbf y) \le T$ satisfying (4) number
Indeed, in boxes , , write proportional coordinate pairs as and with . There are at most choices with , so these pairs number . The two free coordinates contribute . In dyadic maximum-coordinate shells, positivity forces . Summing the resulting bound proves (5).
Sandwiches fare worse. Polarization of (2) gives
on positive inputs. Since is similar to , it cannot return to by conjugation and a nonzero scalar. More generally is similar to . Reduction of modulo three leaves either an existing cube dilation of , the product case (4), or the impossible case (6). Conjugation preserves the old determinant rather than creating a new one.
3. A modified product really does remove the trace obstruction
The natural repair is
This matrix is pure for every pair of inputs. To see this without a large expansion, the coefficient of in is scalar. Multiply it by and take traces, using :
It follows that
Cayley–Hamilton now gives .
The determinant, however, is the following sextic rather than :
This follows by cubing using (1). The preserved symbolic certificate checks all nine coefficients of (2), (3), (6), and (8) exactly; it is not a test on finitely many numerical inputs.
There is no rational-function scalar over which repairs (8) to the desired product. The polynomial is absolutely irreducible (its projective plane cubic is smooth), and does not divide : the coefficient of in is . Thus has valuation one at the prime divisor , and cannot be a cube.
This also exhausts the combinations on generic inputs. Their trace-square equals , so purity outside (4) requires or . The second normalized choice is and has determinant .
4. Even pointwise scalar repair gives only sparse product values
The failure of a rational-function identity does not by itself exclude scalars chosen separately at each integer input. The following does.
Theorem. For either or , the number of positive integer input pairs with
is . The same bound therefore holds for their distinct product values.
Proof. If the displayed quotient is a rational cube, then
for an integer . A rational number whose cube is an integer is itself an integer. Conversely (9) gives the required quotient when . Allowing in the counting argument only enlarges the set.
Suppose first . Fix positive and set . Then
where
The polynomial has three simple complex roots. If were a cube in , every root of would have to occur in with multiplicity . Since , this forces proportional to , contradicting . Consequently is absolutely irreducible of total degree nine. For , vary instead: its cubic and linear coefficients are and , giving the same proof.
The coefficient-uniform Bombieri–Pila estimate in Browning–Verzobio, Lemma 2.2 states that an absolutely irreducible degree- integral plane curve has integer points in . Its full statement, including uniformity, was checked.
In a root box , with , put . Equation (9) gives . Applying that estimate to each fixed slice gives possibilities. There are choices of the frozen coordinates, hence
If , interchange the tuples and the two orientations of .
Use dyadic maximum-coordinate shells. At fixed dyadic product , the sum of over is . Thus (10) sums to . Positivity imposes , and summing over proves the theorem after renaming .
Scalars in do not change this conclusion: if their cube is rational, they are rational. Otherwise an irreducible cubic polynomial over would have a root in a quadratic field.
What remains outside the obstruction
These bounds allow the conjugating matrix and the repairing scalar to depend arbitrarily on the input; they are not just another fixed-map bound. The second bound also treats unbalanced root heights, so it is stronger than a zero-density statement in balanced input boxes.
They do not exclude a different nonlinear operation, extra auxiliary variables, or rational inputs with uncontrolled denominators. Ordinary matrix multiplication retains the determinant on a nine-dimensional space, but returning to the three-dimensional diagonal family is the failed step. The modified product returns to the pure-matrix variety, not to a positive integral diagonal representation of the product. No positive-density theorem for or additional Erdős 940 case follows.