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Two-sided bound on the auxiliary product ∏k(1+iθZk)\prod_k (1 + i\theta Z_k)∏k​(1+iθZk​)

Proved
Martingale.norm_prod_one_add_I_mul_bounds

by LukeBernese · Aug 15, 2026 · Mathlib 0df444a (Lean v4.33.1)

central-limit-theoremmartingaleprobability

The two bounds that the McLeish argument extracts from the exact modulus identity ∣∏k<n(1+iθZk)∣2=∏k<n(1+θ2Zk2)\bigl|\prod_{k<n}(1+i\theta Z_k)\bigr|^2 = \prod_{k<n}(1+\theta^2 Z_k^2)​∏k<n​(1+iθZk​)​2=∏k<n​(1+θ2Zk2​). Write Jn(1)=∏k<n(1+iθZk)J^{(1)}_n = \prod_{k<n}(1 + i\theta Z_k)Jn(1)​=∏k<n​(1+iθZk​).

Lower bound. Every factor on the right is at least 111, hence ∣Jn(1)∣≥1|J^{(1)}_n| \ge 1∣Jn(1)​∣≥1. This holds with no hypotheses at all, and it is what bounds the other factor in the decomposition: since Jn(2)=eiθ∑k<nZk/Jn(1)J^{(2)}_n = e^{i\theta\sum_{k<n} Z_k}/J^{(1)}_nJn(2)​=eiθ∑k<n​Zk​/Jn(1)​ has a numerator of modulus 111, we get ∣Jn(2)∣≤1|J^{(2)}_n| \le 1∣Jn(2)​∣≤1 automatically.

Upper bound. Applying 1+x≤ex1 + x \le e^x1+x≤ex to each factor and multiplying,

∣Jn(1)∣2  ≤  exp⁡(θ2∑k<nZk2).\bigl|J^{(1)}_n\bigr|^2 \;\le\; \exp\Bigl(\theta^2 \sum_{k<n} Z_k^2\Bigr).​Jn(1)​​2≤exp(θ2k<n∑​Zk2​).

The right-hand side is controlled precisely by the quantity the truncation step keeps bounded: once the increments are truncated so that ∑k<nZk2\sum_{k<n} Z_k^2∑k<n​Zk2​ stays below a fixed level, Jn(1)J^{(1)}_nJn(1)​ is bounded by a constant depending only on θ\thetaθ.

Together the two bounds make the product Jn(1)(Jn(2)−e−θ2σ2/2)J^{(1)}_n\bigl(J^{(2)}_n - e^{-\theta^2\sigma^2/2}\bigr)Jn(1)​(Jn(2)​−e−θ2σ2/2) bounded, hence uniformly integrable — the step that upgrades convergence in probability to convergence of expectations, after which Lévy's continuity theorem yields the central limit theorem. Note that the exponential bound is the only place where the truncation is used quantitatively; the lower bound is free.

Preamble
import Theorems.Thm_Martingale_norm_prod_one_add_I_mul_sq

open Finset
Formal statement
theorem Martingale.norm_prod_one_add_I_mul_bounds {Ω : Type*} (Z : ℕ → Ω → ℝ) (θ : ℝ) (n : ℕ) (ω : Ω) :
    1 ≤ ‖∏ k ∈ Finset.range n, (1 + Complex.I * θ * (Z k ω : ℂ))‖ ∧
    ‖∏ k ∈ Finset.range n, (1 + Complex.I * θ * (Z k ω : ℂ))‖ ^ 2
      ≤ Real.exp (θ ^ 2 * ∑ k ∈ Finset.range n, Z k ω ^ 2) := by sorry
Source
B. M. Brown, "Martingale Central Limit Theorems", Annals of Mathematical Statistics 42 (1971) 59-66, Theorem 2; D. L. McLeish, "Dependent Central Limit Theorems and Invariance Principles", Annals of Probability 2 (1974) 620-628, Theorem 2.3; P. Hall and C. C. Heyde, Martingale Limit Theory and Its Application, Academic Press 1980, Theorem 3.2.

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