REVIEW 5 minor 21 references
Mean value theorems with smooth numbers
T0 review · 0 major / 5 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read For K>12, the additive energy of smooth numbers saves a power of x over the trivial bound.
desk verdict A solid, honest extension of existing pointwise bounds to new mean value ranges; the main risk is the unverified transcription of Harper's and Baker's bounds, but the internal derivation is clean and the paper merits serious refereeing. 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 proof splits $[0,1]$ by Dirichlet approximation into arcs $M_{a,q,Q}$ centered at $a/q$ with $q\le Q$. On arcs with $q\le x^{1/2-\varepsilon}$ it uses a pointwise bound (Lemma 2.2) giving $|S(\theta;x,y)| \le \Psi^{1+o(1)}(qL)^{-\gamma}(\log x)^{5/2+o(1)}$ whenever $qL\le 2x^{1/2-\varepsilon}$; on all arcs it uses an unconditional variant (Lemma 2.3) with an extra $(qL x^{\kappa-1})^{1/2}$ term, where $L=1+x|\theta-a/q|$ and $\gamma=(1-3\kappa)/2$. The large-denominator contribution is controlled by a third pointwise bound (Lemma 2.1). Balancing the two main terms at $Q=x^\xi$ with $\xi=1-2\eta$ converts the pointwise decay into the mean-value exponent $(\rho-2)(1-\eta)$.
What would settle it
A direct check for $K=13$ and increasing $x$ on the major arcs $qL\le 2x^{1/2-\varepsilon}$ would test whether $|S(\theta;x,y)| \le \Psi(x,y)^{1+o(1)}(qL)^{-\gamma}(\log x)^{5/2+o(1)}$ holds; finding a single family of $\theta$ where the right-hand side is exceeded by a power of $\log x$ would invalidate the main saving and force a recomputation of $\zeta$ in Corollary 1.4.
Extended reading notes
Core claim
Let $S(\theta;x,y)=\sum_{n\in S(x,y)}e^{2\pi i \theta n}$ be the exponential sum over the $y$-smooth numbers up to $x$. The paper establishes that for $y=(\log x)^{K+o(1)}$ with $K>3$, whenever $1/2<\beta\rho<1$ and $2<\rho<2K+4$, the $\rho$-th moment satisfies the bound stated in Theorem 1.3, and that the choice $\rho=4$, $K>12$ yields $E(x,y)=I_4(x,y) \le \Psi(x,y)^{3-\zeta+o(1)}$. Here $\kappa=1/K$, $\beta=(1-3\kappa)/4$, $\eta=\kappa(\rho-1)/(2+3\kappa\rho)$, and $\zeta=\kappa(1-12\kappa)/(1+5\kappa-6\kappa^2)$. Because $\zeta>0$ exactly when $K>12$, the fourth moment is smaller than the trivial $\Psi^3$ by a factor $\Psi^{-\zeta}$, which is a power of $x$ since $\Psi=x^{1-\kappa+o(1)}$. The paper presents this as the first power saving in this intermediate range.
Load-bearing premise
The proof inherits the two pointwise bounds on $|S(\theta;x,y)|$ with exactly the stated exponents, and one of them only under the restriction $qL\le 2x^{1/2-\varepsilon}$; if those quoted bounds are not valid in this form, the saving in the mean values has to be reworked.
Editorial extensions
If this is right
- For K>12 the additive energy of the (log x)^K-smooth numbers up to x is bounded by Ψ(x,y)^{3−ζ+o(1)}, a power saving over the trivial Ψ^3.
- The same theorem gives nontrivial mean value bounds for every even ρ in the stated range, so the method applies beyond the fourth moment.
- The bound on E(x,y) feeds into the known criterion connecting additive energy to the metric Poissonian pair-correlation property, extending the range of K for which smooth numbers have that property.
- The argument also yields estimates for the number of solutions to linear equations and for matrix counts with entries from the smooth set, as outlined in the applications section.
- The new bounds interpolate between the regime of very small y where an optimal bound is known and the regime of larger y where a different method already gave power savings.
Reading between the lines
- A sharper version of the quoted pointwise bounds could push the threshold in Corollary 1.4 from K>12 toward K>4, the natural boundary where the trivial bound currently takes over; testing this would require revisiting the two imported lemmas rather than the arc-splitting argument itself.
- The exponent ζ has the form κ(1−12κ)/(1+5κ−6κ^2), and a matching lower bound is not addressed: one could try to construct many distinct solutions to n1+n2=n3+n4 with all ni y-smooth to see whether the energy is forced to stay close to Ψ^3 for K just above 12.
- Applying the same balancing at Q=x^{1/2} exactly, rather than with the ε-slack used here, might replace the o(1) exponent by a computable logarithmic factor and make the bound directly comparable with numerical data for moderate x.
- The method could be extended to weighted smooth numbers or to products of smooth numbers; the arc-splitting would survive, but the pointwise inputs would need to be re-verified.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proves two mean value theorems for exponential sums over y-smooth numbers up to x in the range y=(log x)^{K+o(1)}. Theorem 1.1 gives a bound for I_rho(x,y) when K>3 and beta rho>1/2, with a nontrivial range rho>4(K-1)/(K-3), K>4. Theorem 1.3 targets the additive energy case and, after balancing major-arc and minor-arc contributions, yields Corollary 1.4: for K>12, E(x,y) <= Psi(x,y)^{3-zeta+o(1)} with zeta = kappa(1-12kappa)/(1+5kappa-6kappa^2) and kappa=1/K. The proofs use Dirichlet approximation, the Parseval identity, and pointwise bounds quoted from Fouvry-Tenenbaum (Lemma 2.1), Harper (Lemma 2.2), and Baker (Lemma 2.3).
Significance. If correct, the paper supplies the first power savings for the additive energy of (log x)^K-smooth numbers in the intermediate range K>12, interpolating between the small-y results of Bourgain-Garaev-Konyagin-Shparlinski and the large-y mean value theorem of Harper. The internal algebra of Sections 3 and 4 is consistent, there are no fitted parameters, and the dependence on the quoted external pointwise bounds is explicit. The main caveat is that the final saving exponent zeta is directly computed from the simplified forms of Harper's and Baker's theorems in Lemmas 2.2 and 2.3; I found no demonstrated misquotation, but the manuscript would be easier to certify if those forms were located precisely in the cited sources. The paper is clearly written and the claimed result is concrete and falsifiable.
minor comments (5)
- [Section 4.1] The first sentence says 'We proceed as in the proof of Theorem 1.3', but the surrounding argument is a variant of the proof of Theorem 1.1; this should be corrected.
- [Section 4.3] The phrase 'we now chose Q' should read 'we now choose Q'.
- [Section 1.1] The sentence 'which follows from the Parseval identity I2(x,y)=Psi(x,y)' is duplicated verbatim in the displayed text; the duplicate should be removed.
- [Sections 3.3 and 4.2] The step replacing the sum over Farey arcs by I2(x,y), namely 'sum_{q,a} int_{M_{a,q,Q}} |S|^2 dtheta ! I2(x,y)', should be justified, because the arcs M_{a,q,Q} overlap. With the standard bounded-overlap (up to O(log Q)) property this is harmless and is absorbed by the x^{o(1)} factor, but the justification should be stated explicitly.
- [Section 2.2, Lemmas 2.2 and 2.3] Since the exponent gamma=(1-3kappa)/2 and the second term (qL x^{kappa-1})^{1/2} in Lemma 2.3 directly determine the saving exponent zeta in Corollary 1.4, the authors should add a short note confirming that these simplified forms follow from [18, Theorem 1] and [2, Theorem 2] with no additional hidden restrictions on qL or on the range of theta. This would remove a genuine verification burden on the reader.
Circularity Check
No significant circularity: the main mean value bounds are derived from external pointwise bounds (Harper, Baker, Fouvry–Tenenbaum) and standard smooth-number estimates; the authors' own cited results are contextual, not load-bearing.
full rationale
The derivation of Theorems 1.1 and 1.3 starts from Dirichlet approximation (3.1) and then applies Lemma 2.1 (Fouvry–Tenenbaum), Lemma 2.2 (Harper), and Lemma 2.3 (Baker) as external pointwise bounds on S(ϑ;x,y). No parameter is fitted to the mean values being bounded, and the final saving exponents arise by explicit balancing: for Theorem 1.3, substituting the estimates (4.2) and (4.6) gives the balancing equation (4.7), whose solution ξ = 1 − 2η determines the exponent ζ in Corollary 1.4 algebraically. The only self-citation that appears in the relevant range is [6], used in the introduction for the known bound (1.5) on I_{2s}(x,y), but (1.5) is not invoked in the proofs of Theorem 1.1 or Theorem 1.3; those proofs rely on the external lemmas and on (1.2). The paper's use of 'simplified forms' of Harper's and Baker's theorems is a faithfulness-of-citation concern, not a circularity concern: the quoted lemmas have assumptions independent of the conclusions, and the paper computes consequences rather than assuming them. Hence no circular step, self-definitional reduction, or fitted-input-as-prediction is present.
Assumptions & free parameters
assumptions (5)
- domain assumption Psi(x,(log x)^K) = x^(1-kappa+o(1)) for fixed K>1, with kappa=1/K.
- domain assumption Harper's pointwise bound, Lemma 2.2: for qL <= 2x^(1/2-epsilon), |S| <= Psi^(1+o(1)) (qL)^(-gamma+o(1)) (log x)^(5/2+o(1)) with gamma=2beta=(1-3kappa)/2.
- domain assumption Baker's variant, Lemma 2.3: unconditionally, |S| <= Psi^(1+o(1))((qL)^(-gamma) + (qL x^(kappa-1))^(1/2)).
- domain assumption Fouvry-Tenenbaum bound, Lemma 2.1: |S| <= x^(1+o(1))(x^(-1/4)+q^(-1/2)+(q/x)^(1/2)) L.
- standard math Parseval identity I2(x,y)=Psi(x,y) and Dirichlet approximation covering of [0,1] by the intervals M_{a,q,Q}.
Cite this review
Pith. "Pith review of Mean value theorems with smooth numbers." pith.science (2026). https://pith.science/paper/OUDPOWC4
@misc{pith2026250622192,
author = {Pith},
title = {Pith review of: Mean value theorems with smooth numbers},
year = {2026},
howpublished = {\url{https://pith.science/paper/OUDPOWC4}},
note = {Machine review of arXiv:2506.22192}
}
read the original abstract
We obtain new mean value theorems for exponential sums with very smooth numbers, which provide a power saving against the trivial bound in region where previous bounds do not apply.
Reference graph
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Reviewed August 6, 2026 · model on record in the stance chip above.
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