Claim in Erdős problems named in new papers, 2026-10
A published paper or arXiv preprint answers the main question of Erdős Problem #522 (theorem erdos_522 in formal-conjectures) in full (proof, disproof, or the exact value asked for) with no hypotheses beyond the problem's own.
Let f(z)=\sum_{0\leq k\leq n} \epsilon_k z^k be a random polynomial, where \epsilon_k\in \{-1,1\} independently uniformly at random for 0\leq k\leq n. Is it true that, if R_n is the number of roots of f(z) in \{ z\in \mathbb{C} : \lvert z\rvert \leq 1\}, then \frac{R_n}{n/2}\to 1 almost surely? There is some ambiguity as to whether the intended coefficient set is \{-1, 1\} or \{0, 1\}, see `erdos_522.variants.zero_one` for the alternate version. This is true. Proofs were posted on the erdosproblems.com forum in April 2026 [Ch26], [KZ26], and Lean proofs were given independently in September 2026 [Ka26], [Ki26]. More generally, [Ka26] proves an almost-sure radial law: the number of roots in \{\lvert z\rvert \le 1 + x/n\} is \Phi(x)\,n + o(n) for every x, where \Phi(x) = \tfrac12\left(1 + \coth x - \tfrac1x\right). This problem is the case x = 0.
- [Ch26] Chojecki, P., A strong law for the roots of random Littlewood polynomials (2026), ulam.ai/research/erdos522-final.pdf.
- [Ka26] Kawada, S., Almost-Sure Radial Laws for Nested Random Polynomials and Erdős Problem #522, doi:10.5281/zenodo.22970145 (2026). Lean 4 formalization: chreia/erdos-522.
- [Ki26] Kitamura, K., A Lean proof of Erdős Problem 522, KitaKen1/erdos-522-strong-law (2026).
- [KZ26] Kwon, Y. and Zou, J., A fourth moment estimate for logarithmic integrals of random Littlewood polynomials and Erdős's root-count problem (2026), ykwon0407/erdos-521-522.
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