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Source labels openChecked July 26, 2026

Erdős ProblemsField theory and polynomials

Erdős Problem 522

Let f(z)=0knϵkzkf(z)=\sum_{0\leq k\leq n} \epsilon_k z^k be a random polynomial, where ϵk{1,1}\epsilon_k\in \{-1,1\} independently uniformly at random for 0kn0\leq k\leq n.

Mathematical statement

Let f(z)=0knϵkzkf(z)=\sum_{0\leq k\leq n} \epsilon_k z^k be a random polynomial, where ϵk{1,1}\epsilon_k\in \{-1,1\} independently uniformly at random for 0kn0\leq k\leq n.

Is it true that, if RnR_n is the number of roots of f(z)f(z) in {zC:z1}\{ z\in \mathbb{C} : \lvert z\rvert \leq 1\}, then

Rnn/21 \frac{R_n}{n/2}\to 1

almost surely?

There is some ambiguity as to whether the intended coefficient set is {1,1}\{-1, 1\} or {0,1}\{0, 1\}, see erdos_522.variants.zero_one for the alternate version.

Statement source: Erdős Problems statement material

Statement terms: Source-specific

Source-specific terms. Therefore does not assert reuse rights beyond attributed display.

Statement artifacts, not proofs

These records expose exact Lean propositions and statement-only wrappers. Defining a proposition does not supply a proof of it. A placeholder-bearing target also contains no proof. Elaboration checks syntax and types; it does not certify that a formalization perfectly captures every nuance of the informal problem.

Pinned Lean formulation 1

erdos_522

Canonical source
Complete statement target, proof intentionally absentLean 4
theorem erdos_522 :    answer(sorry)   {Ω : Type*} [MeasureSpace Ω] [IsProbabilityMeasure (ℙ : Measure Ω)]      (c : KacCoefficients ({-1, 1} : Set ℂ) Ω),      ℙ {ω | atTop.Tendsto (fun n :   (2 * c.numRootsInUnitDisk n ω : ) / n) (𝓝 1)} = 1 := by  sorry
Statement source
Formal Conjectures
Lean version
v4.27.0
Placeholder
Present; no proof artifact
Source evidence
Pinned source index
Fidelity review
Community formulation

References