On the average number of representations of an integer as a sum of polynomials computed at prime values
Pith reviewed 2026-05-16 09:39 UTC · model grok-4.3
The pith
The average number of representations of an integer as a sum of j values of a degree-k polynomial at prime powers follows a positive asymptotic for j at least k.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We extend the results of Languasco and Zaccagnini for k=3 and j=4, and of Cantarini, Gambini and Zaccagnini for monomials, to show that the average number of representations of n as phi(n1) plus dots plus phi(nj) with each ni a prime power is given by an asymptotic formula when the polynomial has degree k at least 1, leading coefficient 1, and j is at least k.
What carries the argument
Uniform extension of analytic estimates for exponential sums over prime powers, based on the circle method or Vinogradov-type bounds, to handle arbitrary degree k and all j at least k.
If this is right
- The asymptotic formula applies to any polynomial with integer coefficients of degree k and leading coefficient 1.
- The main term in the average count depends on k and j but remains positive whenever j is at least k.
- Error terms stay controllable for the full range of j from k upward without extra conditions.
- The result covers both monomials and non-monomial polynomials of the same degree.
Where Pith is reading between the lines
- The same estimates may extend to values at primes lying in a fixed arithmetic progression rather than all prime powers.
- Effective versions with explicit constants could be derived for small fixed k by optimizing the error terms.
- The density result suggests studying the gaps between consecutive such sums for large n.
Load-bearing premise
That the analytic machinery from the cited prior works extends uniformly to arbitrary k and all j at least k without additional restrictions on the polynomial or error terms.
What would settle it
A direct computation of the average number of representations for k equals 2 and j equals 2 up to n around 10 to the 7, compared against the predicted main term; a large mismatch in the leading coefficient or growth rate would show the extension does not hold.
read the original abstract
We study the average number of representations of an integer $n$ as $n = \phi(n_{1}) + \dots + \phi(n_{j})$, for polynomials $\phi \in \mathbb{Z}[n]$ with $\partial\phi = k\ge 1$, $\operatorname{lead}(\phi) = 1$, $j \ge k$, where $n_{i}$ is a prime power for each $i \in \{1, \dots, j\}$. We extend the results of Languasco and Zaccagnini (2019), for $k=3$ and $j=4$, and of Cantarini, Gambini and Zaccagnini (2020), where they focused on monomials $\phi(n) = n^k$, $k\ge 2$ and $j=k, k + 1$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript extends prior results of Languasco–Zaccagnini (k=3, j=4) and Cantarini–Gambini–Zaccagnini (monomials) by establishing an asymptotic formula for the average number of representations of an integer n as n = ∑_{i=1}^j φ(p_i), where φ ∈ ℤ[x] has degree k ≥ 1 and leading coefficient 1, j ≥ k, and each p_i is a prime power. The argument proceeds via the circle method, separating major and minor arcs and averaging over n.
Significance. If the claimed asymptotic holds with an error term o(1) uniformly in the stated range of k and j, the result supplies a uniform treatment of a wider class of polynomials in additive problems involving prime powers, building directly on the cited works without introducing new free parameters or ad-hoc axioms.
major comments (2)
- [§4.2] §4.2, minor-arc estimate (4.5): the saving obtained from Weyl differencing is stated to be sufficient for the j-fold integral to be o(1) relative to the major-arc contribution, but the exponent depends on k while j is permitted to equal k; no explicit threshold j/k or k-dependent constant is supplied to guarantee that the minor-arc term remains smaller than the singular-series main term for arbitrary fixed k.
- [Theorem 1.1] Theorem 1.1, error term: the o(1) in the averaged representation count is asserted after integrating against the singular series, yet the proof sketch does not verify that the implied constant in the minor-arc bound absorbs the growth in the number of variables when j = k and k increases; an explicit dependence on k in the error term is required to support the uniformity claim.
minor comments (2)
- [§3.1] The definition of the singular series in §3.1 should include a short verification that the product over primes converges absolutely for the given range of j and k.
- [p. 7] Notation for the exponential sums S(α) on p. 7 is introduced without an immediate reference to the precise form of φ; adding the explicit expression φ(x) = x^k + a_{k-1}x^{k-1} + … would improve readability.
Simulated Author's Rebuttal
We thank the referee for the careful reading and for identifying these points on the minor-arc analysis and the dependence of constants. The results are stated for each fixed k ≥ 1 and j ≥ k, with implied constants permitted to depend on k and j. We address each major comment below.
read point-by-point responses
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Referee: [§4.2] §4.2, minor-arc estimate (4.5): the saving obtained from Weyl differencing is stated to be sufficient for the j-fold integral to be o(1) relative to the major-arc contribution, but the exponent depends on k while j is permitted to equal k; no explicit threshold j/k or k-dependent constant is supplied to guarantee that the minor-arc term remains smaller than the singular-series main term for arbitrary fixed k.
Authors: The bound (4.5) is obtained from the Weyl differencing estimate for the exponential sum attached to a degree-k polynomial evaluated at prime powers, which supplies a positive power saving δ(k) > 0. The minor-arc contribution to the j-fold integral is then estimated by combining this saving with the measure of the minor arcs and Hölder’s inequality (or the standard L^2 mean-value bound). For each fixed k the resulting upper bound is o(1) times the major-arc main term as the truncation parameter tends to infinity, provided j ≥ k. The o(1) is allowed to depend on k and j. We agree that an explicit clarifying sentence would improve readability. In the revised manuscript we will insert, immediately after (4.5), the statement that the implied constants depend on k and that the inequality holds for all fixed k when j ≥ k. This constitutes a partial revision. revision: partial
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Referee: [Theorem 1.1] Theorem 1.1, error term: the o(1) in the averaged representation count is asserted after integrating against the singular series, yet the proof sketch does not verify that the implied constant in the minor-arc bound absorbs the growth in the number of variables when j = k and k increases; an explicit dependence on k in the error term is required to support the uniformity claim.
Authors: Theorem 1.1 is formulated for each fixed pair (k, j) with j ≥ k; the asymptotic holds as the averaging parameter X → ∞, and the o(1) term is permitted to depend on k and j. No uniformity in k is claimed or required. The minor-arc contribution, after integration against the singular series, is shown to be o(1) of the main term with the o(1) absorbing the fixed parameters k and j. We will add an explicit sentence in the statement of Theorem 1.1 and in the introduction clarifying that all implied constants may depend on k and j. This removes any possible ambiguity without changing the mathematical content of the result. The revision is therefore partial. revision: partial
Circularity Check
No circularity; extension builds on independent prior estimates
full rationale
The paper extends analytic results on representation counts from two cited prior works (Languasco-Zaccagnini 2019 and Cantarini-Gambini-Zaccagnini 2020) to the case of general degree-k polynomials with j >= k. No self-definitional steps appear, no parameters are fitted inside the present work and then relabeled as predictions, and the central asymptotic is not forced by renaming or by an ansatz smuggled through self-citation. The cited base estimates are treated as external input whose uniformity for the new range is asserted via standard circle-method or Vinogradov machinery; the derivation chain therefore remains non-circular.
discussion (0)
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