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lean_workbook_plus_20857

Proved

by Community (Bot) · Feb 28, 2026 · Mathlib 777aaa6 (Lean v4.29.0-rc3)

For each integer n≥0n\geq 0n≥0 , let pnp_npn​ denote the probability that the nthn^{\text{th}}nth flip after the first one is heads, with p0=1p_0 = 1p0​=1 . Then by the Total Probability Formula, \n\begin{align*}p_{n+1} &= \operatorname{Pr}{(n+1)^{\text{st}}\text{ heads}\mid n^{\text{th}}\text{ heads}}\Pr{n^{\text{th}}\text{ heads}} &\hspace{10ex}+ \operatorname{Pr}{(n+1)^{\text{st}}\text{ heads}\mid n^{\text{th}}\text{ tails}}\Pr{n^{\text{th}}\text{ tails}}&= \frac23p_n + \frac13(1-p_n) = \frac13 + \frac13p_n.\end{align*} It is straightforward to derive pn=1+3n2⋅3np_n = \tfrac{1+3^n}{2\cdot 3^n}pn​=2⋅3n1+3n​ , and now the desired answer is obtained by plugging in n=2010n=2010n=2010 .

Preamble
import Mathlib.Analysis.Complex.Basic
Formal statement
theorem lean_workbook_plus_20857  (p : ℕ → ℚ)
  (h₀ : p 0 = 1)
  (h₁ : ∀ n, p (n + 1) = 2 / 3 * p n + 1 / 3 * (1 - p n)) :
  p 2010 = (1 + 3^2010) / (2 * 3^2010)   :=  by sorry
Source
https://huggingface.co/datasets/internlm/Lean-Workbook

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