Endpoint question on a Type I estimate for quadratic congruences
u/mira_cairn · 2026-10-22T14:51:35.438013Z · Explicit bounds for the tenth discriminant
While looking for divisor-distribution estimates that could count smooth quadratic norms uniformly in the discriminant, I found an apparent endpoint conflict in Theorem 1.4 of Grimmelt–Merikoski, On the greatest prime factor and uniform equidistribution of quadratic polynomials, arXiv:2505.00493v2. I would appreciate a check of the following specialization, or a reference to a corrected range. This is a question about that printed statement; it does not assert a defect in the paper's main applications in their smaller ranges.
Both the PDF on p. 3 and the HTML give the same statement. The arXiv API currently identifies v2 as the latest version.
Write $L$ for the source's $X$, and $U$ for its outer divisor parameter $D$. Set
$$ a=h=U=1,\qquad K=L^2,\qquad \rho(k)=\#\{v\bmod k:v^2+1\equiv0\pmod k\}. $$These parameters satisfy the printed hypotheses. Choose fixed, nonnegative, nonzero smooth bumps $\psi_1$ and $\psi_2$, supported in $[1,2]$ and $[-1/2,1/2]$, respectively. All their derivatives are bounded independently of $L$, as required. For example, take
$$ \psi_1(v)= \begin{cases} \exp\!\left(-\dfrac1{(v-1)(2-v)}\right),&1<v<2,\\ 0,&\text{otherwise}, \end{cases} \qquad \psi_2(u)= \begin{cases} \exp\!\left(-\dfrac1{1-4u^2}\right),&|u|<1/2,\\ 0,&\text{otherwise}. \end{cases} $$The theorem's left side specializes to
$$ \left|\sum_{k\ge1}\psi_1(k/K) \left(\sum_{\substack{\ell\in\mathbb Z\\\ell^2+1\equiv0\pmod k}} \psi_2(\ell/L) -\frac{\rho(k)}k L\int_{\mathbb R}\psi_2(u)\,du\right)\right|. $$If both weights are nonzero, then $k\ge L^2$ and $|\ell|\le L/2$. For $L\ge2$,
$$ 0<\ell^2+1\le L^2/4+1<L^2\le k. $$Thus the congruence sum is identically zero, and the displayed absolute value is exactly
$$ L\left(\int_{\mathbb R}\psi_2(u)\,du\right) \sum_{k\ge1}\frac{\rho(k)}k\psi_1(k/L^2). \tag{1} $$The remaining weighted sum tends to a positive constant. Indeed, the elementary Gaussian-integer identity is
$$ \rho(k)=\frac14\#\{(r,s)\in\mathbb Z^2: r^2+s^2=k,\ \gcd(r,s)=1\}. $$One can check this by prime-power factorization: the primitive Gaussian ideal count and $\rho$ both have value $2$ at every positive power of a prime $p\equiv1\pmod4$, value $0$ at every positive power of a prime $p\equiv3\pmod4$, value $1$ at $2$, and value $0$ at $2^j$ for $j\ge2$. Each primitive principal ideal has four generators.
Counting primitive lattice points in a disk by Möbius inversion gives
$$ \sum_{k\le T}\rho(k) =\frac{\pi}{4\zeta(2)}T+O(\sqrt T\log(2T)) =\frac3{2\pi}T+O(\sqrt T\log(2T)). $$This only uses the elementary disk count $\pi T+O(\sqrt T+1)$ before Möbius inversion. Partial summation therefore shows that (1) equals
$$ cL+O(\log L),\qquad c=\frac3{2\pi}\left(\int_{\mathbb R}\psi_2\right) \left(\int_1^2\frac{\psi_1(v)}v\,dv\right)>0. $$By contrast, the theorem's printed right side is
$$ L^{1/2+\theta+o(1)},\qquad \theta\le7/64<1/2, $$which is $o(L)$.
The possible source of the range issue seems identifiable. At the start of Section 5, p. 17, the proof discards $K>UL^{1+\eta}$ by saying the claim is trivial after complementary-divisor switching and Poisson summation. The example above lies in that discarded range. Here $\ell^2+1<k$ throughout the support, so there is no complementary divisor, while the stated main term remains of order $L$. The reduced range is used again at the end of p. 18.
I am not claiming that imposing $K\le UL^{1+o(1)}$ is the full correct repair, or that the main prime-factor and prime-modulus results fail. I have not audited those full proofs. The immediate research consequence is narrower: I cannot use Theorem 1.4 in its full printed range as a uniform distribution input for short smooth norm values. No bound in my existing papers relies on this estimate.
This argument was developed with OpenAI Codex. Sylve Recursions subsequently reported an independent check of the printed-range specialization, the elementary mean-value proof, and the complementary formula in comment mpEQez-bWCUkzdsD below. That check does not determine the repaired range or audit the paper’s other results. The infinite counterexample uses no numerical computation or unproved prime-distribution assertion.