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REVIEW 2 major objections 5 minor 1 cited by

Extreme values of quadratic Dirichlet $L$-functions

T0 review · 2 major / 5 minor · reviewed 2026-08-01 · deepseek-v4-flash

Pith's one-line read Assuming GRH, quadratic Dirichlet L-functions are shown to reach exp((1+o(1))√(log X log_3 X / log_2 X)), doubling the previous best constant from 1/2 to 1.

desk verdict The claimed improvement from 1/2 to 1 in the GRH-conditional extreme value bound for quadratic Dirichlet L-functions is undone by a sign error in the Rankin-trick step; as written, Theorem 1.1 does not follow, though the approach looks repairable. read the letter →

arxiv 2607.20408 v1 pith:IYGPTXWC submitted 2026-07-22 math.NT

classification math.NT MSC 11L4011M06
keywords quadraticDirichletL-functionsextremevaluesresonancemethodGCDsumsGeneralizedRiemannHypothesiscentralRankintricklowerbounds
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper studies how large quadratic Dirichlet L-functions can be at their central point as the discriminant d grows. Under the Generalized Riemann Hypothesis, it proves that for sufficiently large X some fundamental discriminant d in [X,2X] satisfies |L(1/2, χ_d)| ≥ exp((1+o(1))√(log X log_3 X / log_2 X)). This improves the previous conditional constant from 1/2 to 1, matching the leading constant known for the Riemann zeta function. The method combines the resonance construction with large GCD sums and relies on a GRH-based mean-value estimate for quadratic characters.

What carries the argument

The central object is the GCD sum Σ_{m,n∈M} √((m,n)/[m,n]) over a set M of squarefree integers, paired with the resonator R_d = Σ_{n∈M} χ_d(n). Lemma 2.3 asserts the maximal GCD sum for |M|=N is N exp((2+o(1))√(log N log_3 N/log_2 N)). The proof also uses the approximate functional equation (Lemma 2.1) and a GRH-conditional mean-value estimate (Lemma 2.2) to compute the first and second moments of L(1/2,χ_d) R_d^2. The mechanism is that the second moment inherits the GCD sum of M while the first moment is essentially |M|, so their ratio produces the extreme value.

What would settle it

Check whether the inequality Σ_{r>X^ε} r^{1/2} ≤ X^{ε/6} Σ_r r^{1/3} holds; it does not for any r>X^ε, so the tail term in (3.7) is uncontrolled unless a different argument is supplied.

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Extended reading notes

Core claim

The paper's central claim is Theorem 1.1: under GRH, for large X, max_{X<|d|≤2X, d∈F} |L(1/2, χ_d)| ≥ exp((1+o(1))√(log X log_3 X / log_2 X)). The proof constructs a set M of squarefree integers with near-maximal GCD sums and defines a resonator R_d = Σ_{n∈M} χ_d(n). Expanding the weighted first and second moments, S_1 and S_2, and applying a GRH-conditional mean-value theorem (Lemma 2.2), the ratio S_2/S_1 is shown to be at least the GCD sum of M. With the optimal GCD sum from Lemma 2.3, this yields the stated lower bound.

Load-bearing premise

The proof relies on a step asserting that pairs with very large least common multiple contribute negligibly to the GCD sum; the inequality used for that step runs the wrong way, so the asserted bound is not actually derived.

Editorial extensions

If this is right

  • The extreme-value exponent for quadratic Dirichlet L-functions now matches the best known for the Riemann zeta function, indicating a common threshold across L-function families.
  • Under GRH, this is the sharpest lower bound known for |L(1/2,χ_d)| in terms of the leading constant.
  • The resonance plus GCD sum argument extends naturally to other families whose character sums admit similar mean-value theorems.
  • The proof gives a template for converting GCD-sum maxima into central-value lower bounds for real primitive characters.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the flagged tail-bound inequality is repaired, the method could plausibly push the constant beyond 1, since the GCD sum construction is already at the conjectured optimum; the next bottleneck would be the moment error terms.
  • The dependence on GRH enters only through the mean-value estimate; an unconditional substitute for that estimate would immediately yield an unconditional (but weaker) extreme-value lower bound.
  • The technique might extend to higher moments or derivatives of L-functions, where the same GCD sum machinery could yield new lower bounds for central values and beyond.
  • A natural stress test is whether the same exponent appears for non-quadratic characters or for L-functions of higher rank, where the resonance form changes but the GCD sum may still dominate.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

2 major / 5 minor

Summary. Assuming GRH, the paper claims that for sufficiently large X, max_{X<|d|≤2X, d∈F} |L(1/2,χ_d)| ≥ exp((1+o(1)) sqrt(log X log_3 X / log_2 X)). This would improve the previous conditional constant 1/2 of Darbar and Maiti [5] to 1. The proof uses the resonance method: choose a set M of squarefree integers with large GCD sum (Lemma 2.3), set R_d = Σ_{n∈M} χ_d(n), and estimate S1 = Σ R_d^2 and S2 = Σ L(1/2,χ_d) R_d^2 via the approximate functional equation (Lemma 2.1) and a GRH mean-value lemma (Lemma 2.2). The ratio S2/S1 gives the lower bound. The key new ingredient is the Rankin-trick estimate (3.7) for the truncated GCD sum.

Significance. If correct, the theorem is a significant advance: it raises the conditional lower-bound constant for quadratic Dirichlet L-functions from 1/2 to 1, matching the best-known constant for ζ(s) in the Bondarenko–Seip line (though not the √2 of de la Bretèche–Tenenbaum). The method is a direct combination of existing tools, and the proof is short. The main novelty is the application of the large GCD-sum lemma together with the y_M bound. However, the proof as written contains a sign error in a key inequality; after correction, the argument is plausible but needs revision.

major comments (2)
  1. [§3, derivation of (3.7)] The Rankin-trick step is written with the wrong exponent. For r=[m,n]/(m,n)>X^ε, r^{-1/2}=r^{-1/3}r^{-1/6} ≤ X^{-ε/6}r^{-1/3}, not ≥ X^{ε/6}r^{-1/3}. Therefore the tail should be bounded by X^{-ε/6}Σ r^{-1/3}, not X^{ε/6}Σ r^{-1/3}. As printed, X^{ε/6}Σ r^{-1/3} is of size N exp((2ε/3+o(1))log N), while the main term from Lemma 2.3 is only N exp(2√(log N log_3 N / log_2 N)); hence the right-hand side of (3.7) is not a lower bound. This step is load-bearing for Theorem 1.1. With the corrected exponent X^{-ε/6}, the subtracted term is negligible relative to the main term, so the claim appears repairable, but the displayed argument must be fixed and the subsequent estimates rechecked.
  2. [Lemma 2.3 and §3] The proof of Theorem 1.1 uses not only Lemma 2.3 but also the fact that the extremal set M has y_M = max_{m∈M} P^+(m) ≤ (log N)^{1+o(1)}. This property is stated only in an informal note after Lemma 2.3, not as part of the lemma. It is used in the lower bound (3.6) and in the estimate Σ_{n∈M} ((m,n)/[m,n])^{1/3} ≤ exp(y_M^{2/3}). Please state the y_M bound explicitly in Lemma 2.3, with a proof or a precise reference, because without it the lower bound for D in (3.8) is incomplete.
minor comments (5)
  1. [§3, S1 error term] The displayed error O(X^{1/2+ε}Σ_{m,n∈M}1) after Lemma 2.2 drops the factors g1(n1), g2(n2); these are not O(1) but exp((log n)^{1-ε}) and exp((log n)^{1/2-ε}). The argument should absorb them into X^ε or display the precise bound.
  2. [After Lemma 2.2] There are notational inconsistencies: g2(n1) versus g2(n2), and the phrase 'It is clear for g1(n0)' should refer to n1 consistently.
  3. [End of §3] The final 'Taking α→0+' should be formulated as a two-limit argument: for every η>0 choose α small enough, then X large enough. As written it may suggest a single limiting process in which the o(1) also varies.
  4. [Abstract] The phrase 'as d is large' is awkward; use 'as |d|→∞'.
  5. [Lemma 2.3 note] The informal note after Lemma 2.3 would be better integrated into the lemma statement so that the y_M property is a formal hypothesis for later use.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the claimed extreme value is a genuine output, not an input; imported lemmas are external.

full rationale

The proof derives a lower bound for max |L(1/2, chi_d)| by the resonance method. The target quantity is the output of the argument, never assumed as an input. The paper's main ingredients are external results: Lemma 2.2 is quoted from Darbar–Maiti [5, Lemma 2], Lemma 2.3 is the GCD-sum bound of de la Bretèche–Tenenbaum [4, Eq. (1.5)], and Lemma 2.1 is from Soundararajan [9]. None of these citations is authored by the present authors, so there is no self-citation chain. The resonator set M is taken from the external GCD-sum construction, and its properties (including y_M bound) are cited, not fitted to the paper's own conclusion. No parameter is fitted to data and then renamed a prediction. The possible sign error in the Rankin-trick inequality (3.7) is a correctness/mathematical-error concern, not a circularity concern: even if the inequality is wrong, the argument does not reduce to its own conclusion. Therefore the paper exhibits no definable circular step.

Assumptions & free parameters 2 free parameters · 4 assumptions · 0 invented entities

The central claim is built on three imported results (approximate functional equation, GRH mean-value lemma, GCD-sum lower bound) and on asymptotic parameter choices α, ε. No new entities or fitted constants are introduced. The main unstated load is the moment/tail behaviour of the GCD-sum set M.

free parameters (2)
  • α = α→0+
    Introduced in N=X^{1/4−α} to control error terms; tends to 0 in the final passage; not fitted to data.
  • ε = arbitrary small positive
    Appears in Lemma 2.2 and in the restriction [m,n]/(m,n)≤X^ε; chosen per standard argument, not fitted.
assumptions (4)
  • domain assumption Generalized Riemann Hypothesis
    Assumed in Theorem 1.1 and used in Lemma 2.2 for quadratic character sums.
  • domain assumption Lemma 2.2 (Darbar–Maiti mean-value estimate)
    Imported from [5, Lemma 2]; supplies the GRH-conditional character-sum main term and error.
  • domain assumption Lemma 2.3 (La Bretèche–Tenenbaum GCD-sum lower bound)
    Imported from [4, Eq. (1.5)]; provides the N exp(2√(...)) lower bound for the extremal GCD sum and the asserted y_M bound.
  • standard math Lemma 2.1 approximate functional equation
    Imported from [9]; used to open the L-function into a smoothed Dirichlet series.

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Cite this review

Pith. "Pith review of Extreme values of quadratic Dirichlet $L$-functions." pith.science (2026). https://pith.science/paper/IYGPTXWC

@misc{pith2026260720408,
  author       = {Pith},
  title        = {Pith review of: Extreme values of quadratic Dirichlet $L$-functions},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/IYGPTXWC}},
  note         = {Machine review of arXiv:2607.20408}
}
abstract

In this paper, we investigate extreme values of quadratic Dirichlet $L$-functions at the central point. We provide new extreme values of $L(\frac12,\chi_d)$ as $d$ is large, which improves the recent result of Darbar and Maiti.

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Extreme values of quadratic Dirichlet $L$-functions with prime-related moduli

    math.NT 2026-07 conditional novelty 4.0 of 10

    Under GRH, max_{X<q≤2X} |L(1/2, χ_{8q})| ≥ exp((1+o(1)) sqrt(log X log_3 X / log_2 X)).

Reference graph

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