REVIEW 1 major objections 3 minor 18 references
Multiple sums with the M\"obius function
T0 review · 1 major / 3 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read This paper proves that sums of the Möbius function over solutions to a broad class of ternary additive equations are bounded by (A+B)N divided by any fixed power of log N, matching the strength of the error-term bounds known for the…
desk verdict Clean new bounds for ternary Möbius sums, resting on Green-Tao; worth a serious referee. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The engine of the proof is the strong discorrelation theorem for the Möbius function against bracket polynomial phases, stated in the paper as (3.2): for any bracket polynomial $p$ of complexity $\delta$ and any $1$-Lipschitz $\Psi\colon[0,1]\to[-1,1]$, one has $\sum_{n\le N}\mu(n)\Psi(\{p(n)\})\ll_{\delta,\Psi,C} N(\log N)^{-C}$, with an ineffective constant. This is a theorem proved elsewhere, and the paper extends it to arithmetic progressions in Lemma 3.1 by orthogonality. The proof of Theorem 2.1 expands the equation $f(n_1)+g(n_2)+\wp(n_3)=M$ via exponentials, uses the discorrelation bound to estimate the sum over $n_3$, and uses the injectivity of $f$ and $g$ together with Cauchy-Schwarz to control the sums over $n_1,n_2$; a divisor split into small and large $d$ balances the error terms. A bracket polynomial is an expression built from scalars, $+$, $\times$, integer part $\lfloor\cdot\rfloor$, and fractional part $\{\cdot\}$, with complexity the minimal number of such operations needed to write it.
What would settle it
A single counterexample would falsify the main theorem: find a bracket polynomial $p$ and a sequence of $N$ for which $\sum_{n\le N}\mu(n)e(p(n))$ is not $O(N(\log N)^{-C})$ for some fixed $C$; the proof of Theorem 2.1 uses exactly this bound (via Lemma 3.1) to estimate the $n_3$ sum. Short of that, a direct numerical computation of $S_\mu(N)=\sum_{n_1+n_2+n_3=N}\mu(n_1n_2n_3)$ that shows $\lvert S_\mu(N)\rvert N^{-2}(\log N)^C$ unbounded for some $C$ would contradict (2.1).
Extended reading notes
Core claim
On the paper's own terms, the central discovery is a uniform bound for the sums $S_\mu(\mathcal{D};M)$ defined in (1.5): under the hypotheses of Theorem 2.1, $S_\mu(\mathcal{D};M) \ll_{C,\varepsilon,\delta} (A+B)N(\log N)^{-C}$ for every $C>0$, uniformly in $M \in \mathbb{Z}$. The bound holds for arbitrary complex weights $u_n,v_n$ with sup norm at most $1$, for injective functions $f$ and $g$ on the supports of the weights, and for any bracket polynomial $\wp$ of complexity $\delta$. A direct consequence, displayed in (2.1), is the new estimate $\sum_{n_1+n_2+n_3=N}\mu(n_1n_2n_3)\ll_C N^2(\log N)^{-C}$ for the ordinary ternary Möbius sum. The paper further shows that, when $\wp$ is linear, stronger conditional bounds follow from hypotheses on the zeros of Dirichlet $L$-functions (Theorem 2.2), and that a short-interval version holds for ordinary polynomial phases with $H\ge N^{5/8+\varepsilon}$ (Theorem 2.4).
Load-bearing premise
The proof rests on the discorrelation theorem for the Möbius function over bracket polynomial phases, stated in the paper as (3.2) and proved elsewhere; if that theorem failed for some bracket polynomial phase, the main cancellation bound would fail for that phase.
Editorial extensions
If this is right
- The plain ternary sum satisfies $\sum_{n_1+n_2+n_3=N}\mu(n_1n_2n_3)\ll_C N^2(\log N)^{-C}$, a new estimate with the same logarithmic strength as the known error term for the ternary Goldbach problem.
- Prime applications include $\sum_{p+q\le x}\mu(p+q)\ll_C x^2(\log x)^{-C}$ and a signed sum of $\mu(p_k+p_\ell)$ over prime indices, both new.
- When the third variable is confined to a short interval of length $H\ge N^{5/8+\varepsilon}$, the same cancellation holds for ordinary polynomial phases, giving $\ll_{C,\varepsilon,\delta}(A+B)H(\log N)^{-C}$.
- Restricting the third variable to $H\ge \exp((\log N)^\varepsilon)$ gives $\sum_{n_1+n_2+n_3=N,\,n_3\le H}\mu(n_1n_2n_3)\ll_{\varepsilon,C} NH(\log H)^{-C\varepsilon^{-1}}$, a partial step toward the Chowla-type one-variable problem.
- Under the hypothesis that no Siegel zeros exist for Dirichlet $L$-functions, the bound improves to $(A+B)N e^{-c\sqrt{\log N}}$ for linear $\wp$; under a zero-free half-plane, to $(A+B)N^{c(\sigma^*)+o(1)}$.
Reading between the lines
- Extending beyond the paper's own claims: the method appears to transfer to any multiplicative function whose discorrelation against nilsequences is known (such as the Liouville function), provided the same coprimality handling applies, which would yield analogous cancellation with $\lambda$ in place of $\mu$.
- The injectivity of $f$ and $g$ is used so that the $n_1,n_2$ sums become $L^2$ norms; numerically testing non-injective perturbations such as $f(n)=\lfloor n/2\rfloor$ would probe whether this condition is truly necessary.
- The one-small-variable bound, requiring $H\ge \exp((\log N)^\varepsilon)$, leaves an exponential gap to the $H=1$ Chowla-type case; a reasonable testable conjecture is that the threshold on $H$ can be pushed to a power of $\log N$, which numerical experiments at moderate $N$ could inform.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proves uniform cancellation bounds for sums of the Möbius function over solutions to three-variable additive equations, where two variables are weighted by bounded sequences attached to injective label functions and the third runs over an interval and is inserted through a bracket polynomial phase. The main result (Theorem 2.1) gives a bound of size (A+B)N (log N)^{-C} under the mild separation condition log N >= (log max{A,B})^epsilon. The proof splits by a parameter D, using Green-Tao discorrelation for small d and a divisor-counting/injectivity argument for large d. The paper then derives stronger conditional bounds under zero-free half-plane hypotheses (Theorem 2.2), a short-interval variant (Theorem 2.4), and a series of applications to prime, squarefree, Beatty, and quadratic-residue sums, including the new bound S_mu(N) << N^2 (log N)^{-C} for the ternary Möbius sum.
Significance. If correct, the paper makes a solid contribution to the analytic theory of the Möbius function. It shows that the deep Green-Tao discorrelation theorem can be converted, by a clean and relatively short argument, into cancellation for a broad family of additive equations, matching the strength of the best known error terms in the ternary Goldbach problem. The paper is explicit about its external inputs: the main engine is the Green-Tao bound (3.2) and its arithmetic-progression variant (Lemma 3.1), both cited rather than reproved, and the implied constants are honestly ineffective. The applications are numerous and several are new. The proof is transparent; the split at a parameter D and the use of divisor-function estimates (3.10)-(3.13) are standard and correctly executed. The only notable weakness is a misstated application in §7.3, discussed below, which is local and does not affect the validity of Theorem 2.1.
major comments (1)
- [§7.3] In the application labelled 'Squarefrees', the data specify N = [1,x], but the displayed sum restricts k+ℓ to the interval (x,x+H]. Since the equation f(k)+g(ℓ)+℘(n3)=0 with ℘(X)=-X forces n3 = k+ℓ, and n3 ∈ N = [1,x], no tuples satisfy x<k+ℓ≤x+H. The displayed estimate is therefore vacuous as stated. To obtain a nontrivial short-interval result one would need to take N = (x,x+H] and invoke Theorem 2.4 (with the accompanying lower bound on H), rather than Theorem 2.1; alternatively, the range should be changed to k+ℓ≤x. Please correct this application.
minor comments (3)
- [Lemma 3.6] In the statement of Lemma 3.6, 'for all A>0' should read 'for all C>0'; the bound contains C, not A. Also, 'be an s an ordinary polynomial' contains a typo.
- [§7.1] The condition on A is stated as 'A ≤ e^{(log x)^C}' and later A is taken of size x. For arbitrary C>0 this requires choosing the exponent in the theorem's application to be at least 1; the authors may wish to clarify that one first applies Theorem 2.1 with a larger exponent and then passes to the desired C.
- [§4.2] In the proof of Theorem 2.1, the use of Lemma 3.1 for the inner sum over n3 is uniform in the integration variable α because multiplication by a scalar is allowed in the bracket-polynomial calculus; it would be helpful to state this explicitly for the reader.
Circularity Check
No circularity: the main theorem is derived from the external Green-Tao discorrelation theorem and elementary divisor estimates, with no self-referential reduction.
full rationale
The derivation chain of Theorem 2.1 is: express S_mu(D;M) via orthogonality, decompose by divisibility d, bound the small-d part using the arithmetic-progression discorrelation bound of Lemma 3.1, and bound the large-d part by counting with the injectivity of f and g. Lemma 3.1 is proved in the paper from (3.3), a direct consequence of the cited Green-Tao bound (3.2) [7, Thm. 5.2], by expanding the congruence condition; the uniformity in d and a follows because each phase p(n)+jn/d has complexity O(delta) and the implied constant in (3.3) depends only on delta. The small-d estimate then uses standard divisor-function moment bounds (3.10)-(3.13). None of these inputs asserts the conclusion S_mu(D;M) << (A+B)N(log N)^-C; they are independent results by other authors or elementary estimates. The applications in Section 7 instantiate Theorem 2.1 with particular choices of data; they do not re-fit any parameter. There are no self-citations of the authors' own prior work that carry a load-bearing premise, and no fitted quantity is relabelled as a prediction. The only notable feature is the ineffective constant inherited from the Green-Tao theorem, which is an external limitation, not circularity. Theorem 2.2 similarly relies on external discorrelation results of Hajela-Smith, Baker-Harman, and Zhang, and Theorem 2.4 relies on the external short-interval result [12, Cor. 1.3(i)]. The paper is therefore self-contained in the relevant sense: its central claims are derived from external benchmarks, not from the target conclusions.
Assumptions & free parameters
free parameters (2)
- C
- epsilon
assumptions (4)
- domain assumption Green-Tao theorem on strong orthogonality of the Möbius function to bounded bracket polynomial phases (Eq. 3.2).
- domain assumption Matomaki-Shao-Tao-Teravainen short-interval polynomial discorrelation (Eq. 3.9).
- standard math Standard analytic number theory estimates: divisor function mean values (3.10), partial summation consequences (3.11), (3.12), and elementary bound (3.13).
- domain assumption Uniformity of the implied constant in Lemma 3.1 independent of the progression a mod d.
Cite this review
Pith. "Pith review of Multiple sums with the M\"obius function." pith.science (2026). https://pith.science/paper/6DFFHCAT
@misc{pith2026250608787,
author = {Pith},
title = {Pith review of: Multiple sums with the M\"obius function},
year = {2026},
howpublished = {\url{https://pith.science/paper/6DFFHCAT}},
note = {Machine review of arXiv:2506.08787}
}
read the original abstract
We establish nontrivial bounds for bilinear sums involving the M\"obius function evaluated over solutions to a broad class of equations. Several of our results may be regarded as M\"obius-function analogues of the ternary Goldbach problem. By contrast, the binary versions of our results remain out of reach, much like the binary Goldbach problem. Nevertheless, we make partial progress in this direction by restricting the range of the third variable as far as possible.
Reference graph
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