arXiv:2407.08360v3
Abstract
We address partition regularity problems for homogeneous quadratic equations. A consequence of our main results is that, under natural conditions on the coefficients , for any finite coloring of the positive integers, there exists a solution to where and have the same color (and similar results for and ). For certain choices of , our result is conditional on an Elliott-type conjecture. Our proofs build on and extend previous arguments of the authors dealing with the Pythagorean equation. We make use of new uniformity properties of aperiodic multiplicative functions and concentration estimates for multiplicative functions along arbitrary binary quadratic forms.
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01Statements4 reported findingsCorrect
The main theorem families were checked separately. Theorems 1.2–1.5 give unconditional partition/density regularity in the square-coefficient cases. Theorems 1.6–1.10 give parametrized and multiplicative-level-set refinements. Theorems 1.11–1.14 are conditional exactly where the manuscript says so; their deductions correctly isolate the conjectural multiplicative input rather than importing it into the unconditional results.
Unconditional partition and density results for generalized Pythagorean pairs
Pages 3–8 · Theorems 1.2–1.14 · arXiv:2407.08360v3
The unconditional theorems in this group give monochromatic and positive multiplicative-density solutions for the displayed generalized Pythagorean equations in the square-coefficient cases. The solutions retain the nonzero and distinctness requirements stated in each theorem. The polynomial parametrizations cover every coefficient configuration claimed: common factors are absorbed by multiplicative dilation and no coprimality condition is introduced. The passage from the density theorem to a finite coloring selects a color of positive multiplicative upper density and therefore uses exactly the relevant notion of largeness.
Parametric density and multiplicative level-set refinements
Pages 4–7 · Theorems 1.6–1.10 · arXiv:2407.08360v3
These statements insert the paper's polynomial parametrizations into the positive spectral correlation and then specialize to level sets of multiplicative functions. The parameters range over the same multiplicative Følner sets used in the density hypothesis, and the exceptional zero or repeated-coordinate values are removed by a density-zero estimate. The pretentious/aperiodic alternatives exhaust the spectral characters, so the conclusions retain the exact coefficient and color conditions printed in each theorem.
Explicitly conditional generalized-coefficient cases
Pages 7–8 · Theorems 1.11–1.14 · arXiv:2407.08360v3
Each theorem in this group names the additional conjectural concentration or correlation input it assumes. Given that input, the same spectral integral has a positive structured contribution and the algebraic parametrization produces the required generalized Pythagorean pair. The proof does not cite these conditional results while establishing Theorems 1.2–1.10, and it does not claim the conjectural estimate has been proved. Thus the logical status and scope of the conclusions match their statements.
Removal of degenerate parametrized solutions
Pages 24–31 · Sections 5–6 · arXiv:2407.08360v3
The polynomial parametrizations can vanish or identify the two target coordinates only on finitely many algebraic subfamilies. The manuscript separates these factors and bounds their contribution by a lower-order count along the chosen Følner sets. Positivity of the remaining correlation therefore yields an actual nonzero, distinct pair rather than merely a formal solution on a diagonal.
02Proofs3 reported findingsCorrect
Spectral, pretentious, and parametric reductions. The multiplicative correspondence principle represents a positive-density set by an invariant measure for the integer-dilation action and rewrites the target pattern count as a spectral integral. The spectral measure is split into aperiodic and pretentious characters. Uniform multiplicative-function estimates make the aperiodic component negligible, while the concentration theorem makes the structured component positive near the trivial character. Substitution of the explicit generalized-Pythagorean parametrization then gives a positive limiting count. Zero and diagonal solutions are lower-dimensional and are removed before transferring the conclusion back along a multiplicative Følner sequence.
Spectral, pretentious, and parametric reductions
Pages 9–43 · Sections 2–7 · arXiv:2407.08360v3
The multiplicative correspondence principle represents a positive-density set by an invariant measure for the integer-dilation action and rewrites the target pattern count as a spectral integral. The spectral measure is split into aperiodic and pretentious characters. Uniform multiplicative-function estimates make the aperiodic component negligible, while the concentration theorem makes the structured component positive near the trivial character. Substitution of the explicit generalized-Pythagorean parametrization then gives a positive limiting count. Zero and diagonal solutions are lower-dimensional and are removed before transferring the conclusion back along a multiplicative Følner sequence.
Correspondence and spectral decomposition
Pages 9–23 · Sections 2–4 · arXiv:2407.08360v3
The dilation action is represented unitarily and the correlation sequence is the Fourier transform of a positive spectral measure. Approximation by cylinder sets and Følner invariance justify the correspondence identity. The aperiodic component is controlled uniformly in every parameter later averaged, and the pretentious component is localized to finitely many structured characters. Dominated convergence is applicable because all correlations are bounded by one.
Parametrizations and final case split
Pages 24–43 · Sections 5–7 · arXiv:2407.08360v3
The square-coefficient forms are reduced to the displayed polynomial identities, after which the spectral positivity theorem applies directly. General coefficient patterns are divided according to the same algebraic obstructions appearing in the statements. The proof checks the scaling needed to return integer coordinates, deletes degenerate parameters, and applies the conditional input only in the residual cases labeled conditional. The resulting case list exhausts Theorems 1.2–1.14.
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