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Source. Theorem 1, pp. 15--16 (Section 5.1), of Andrew Rechnitzer, The first 128 digits of an autoconvolution inequality, arXiv:2602.07292v1 (7 February 2026), the version named on the source card. A preprint.
Read depth. Claims checked: the statement, the two digit strings and the definitions it uses were read clause by clause on the page images; the method (Sections 2--5, pp. 3--18) was read for structure only, and the rigorous computation was not rerun. Nothing here is independently reviewed.
Statement
Setting (pp. 1--3). is the set of non-negative functions in (pp. 2--3). For the autoconvolution is supported on , and (abstract, p. 1, and equation (3), p. 2).
Theorem 1 (pp. 15--16). Let , the infimum taken over the functions with . Then , where and
The two decimals agree in their first 128 digits, which the print underlines (p. 16). The theorem's text also records the consequence that every non-negative on with has (p. 16).
The printed sentence describing the infimum names only the unit-mass condition on ; non-negativity enters through the index set of the infimum, defined on pp. 2--3. The abstract's statement of the problem also names only unit mass.
Context on p. 2. The paper cites the earlier bounds (Green for the lower, Martin and O'Bryant for the upper) and (White), its display (5), and says White's bounds give the first 4 digits.
Proof pointer
Section 2 (pp. 3--7) starts from White's reformulation of as a sum over Fourier coefficients (display (8), p. 3), which the paper attributes to White's Lemma 3.1, and fits the near-optimal coefficients by an ansatz in powers ; the paper reports that this first ansatz gave tight numerical values it could not make rigorous. Section 3 (pp. 7--10) takes a second ansatz, a finite combination of the functions with Bessel-function Fourier coefficients (displays (26)--(27), p. 8), and sums the resulting series rigorously with Kummer's series transform and asymptotic expansions, giving upper bounds. Section 4 (pp. 11--14) turns a near-optimal upper-bound function into a lower bound through a Hölder-inequality argument that the paper attributes to White's Lemma 3.2 (display (44), p. 11). Section 5 (pp. 14--18) reports the computation, carried out in C++ with ball arithmetic from the flint library; Section 5.1 (pp. 15--17) finishes with ansatz coefficients, , and 384 digits of precision. The coefficients used are listed in Appendix A, and Appendix B gives Python code that recomputes bounds from the first few of them, which the paper calls non-rigorous.
Dependencies
White's reformulation and lower-bound lemma (Lemmas 3.1 and 3.2 of White's paper, as the paper cites them) and a computer calculation in rigorous ball arithmetic.
Bears on
- Problem 158: the paper quotes, as its display (4) on p. 2, the inequality that it attributes to work of Green and White, where is the limit of and is the largest size of a subset of (display (1), p. 1); the paper notes that this limit is known to exist only for (p. 2). With , display (4) turns a lower bound on into an upper bound on , and Theorem 1's exceeds White's lower bound only from the sixth decimal place. The paper does not mention the problem or state the resulting bound on , and an upper bound for finite sets says nothing about whether the lower limit the problem asks about is .