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[Paper Review] Marcinkiewicz-Zygmund Strong Law of Large Numbers for Pairwise i.i.d. Random Variables

V. M. Korchevsky|arXiv (Cornell University)|Apr 27, 2014
Probability and Risk Models7 references3 citations
TL;DR

This paper establishes the Marcinkiewicz–Zygmund strong law of large numbers for pairwise i.i.d. random variables under the condition $\mathbb{E}|X_1|^p < \infty$ for $1 < p < 2$. By extending classical results from independent to pairwise independent sequences, it proves that $(S_n - \mathbb{E}S_n)/n^{1/p} \to 0$ almost surely, generalizing the classical theorem under weaker dependence assumptions using moment bounds and truncation techniques.

ABSTRACT

It is shown that the Marcinkiewicz-Zygmund strong law of large numbers holds for pairwise independent identically distributed random variables. It is proved that if $X_{1}, X_{2}, \ldots$ are pairwise independent identically distributed random variables such that $E|X_{1}|^p &lt; \infty$ for some $1 &lt; p &lt; 2$, then $(S_{n}-ES_{n})/n^{1/p} o 0$ a.s. where $S_{n} = \sum_{k=1}^{n} X_{k}$.

Motivation & Objective

  • To extend the Marcinkiewicz–Zygmund strong law of large numbers from independent to pairwise independent identically distributed (i.i.d.) random variables.
  • To determine whether the condition $\mathbb{E}|X_1|^p < \infty$ for $1 < p < 2$ implies almost sure convergence of $(S_n - \mathbb{E}S_n)/n^{1/p}$ under pairwise independence.
  • To close a gap in the literature by showing that the classical Marcinkiewicz–Zygmund theorem holds under the weaker pairwise independence assumption.
  • To provide a unified generalization of the strong law of large numbers for pairwise i.i.d. sequences by combining results from Etemadi, Sawyer, and Petrov with the current work.

Proposed method

  • Truncating the random variables at level $n^{1/p}$ to control large deviations and applying moment inequalities.
  • Using the Borel–Cantelli lemma to show that the truncated tails vanish almost surely, based on the integrability condition $\mathbb{E}|X_1|^p < \infty$.
  • Applying moment bounds on truncated variables, particularly $\mathbb{E}(|X_i| \mathbb{I}_{\{|X_i| > n^{1/p}\}})$, and showing their normalized sum tends to zero.
  • Employing a dyadic block argument, decomposing the sum $S_n$ into blocks of size $2^n$, and analyzing the behavior of the truncated partial sums within each block.
  • Establishing almost sure convergence of the normalized centered sum by bounding the maximum deviation over each block using truncation and independence within blocks.
  • Combining results from Lemmas 1–3 on tail behavior and moment decay with maximal inequality arguments to prove almost sure convergence of the normalized sum.

Experimental results

Research questions

  • RQ1Does the Marcinkiewicz–Zygmund strong law of large numbers hold for pairwise i.i.d. random variables when $\mathbb{E}|X_1|^p < \infty$ for $1 < p < 2$?
  • RQ2Can the independence assumption in the classical Marcinkiewicz–Zygmund theorem be weakened to pairwise independence without losing almost sure convergence?
  • RQ3What role does the integrability condition $\mathbb{E}|X_1|^p < \infty$ play in ensuring the convergence of $(S_n - \mathbb{E}S_n)/n^{1/p}$ under pairwise independence?
  • RQ4How do truncation and moment estimates on the tails of the distribution contribute to proving almost sure convergence in the pairwise independent case?

Key findings

  • The Marcinkiewicz–Zygmund strong law of large numbers holds for pairwise i.i.d. random variables under the condition $\mathbb{E}|X_1|^p < \infty$ for $1 < p < 2$.
  • The normalized centered sum $ (S_n - \mathbb{E}S_n)/n^{1/p} \to 0 $ almost surely, even when the random variables are only pairwise independent.
  • The proof relies on truncating the random variables at $n^{1/p}$ and showing that the contribution of the tails vanishes almost surely via the Borel–Cantelli lemma.
  • The expectation of the truncated variables satisfies $ \frac{1}{n^{1/p}} \sum_{i=1}^n \mathbb{E}[|X_i| \mathbb{I}_{\{|X_i| > n^{1/p}\}}] \to 0 $ as $n \to \infty$.
  • The sum of variances of the truncated variables over dyadic blocks is finite, ensuring almost sure convergence of the block sums via maximal inequality arguments.
  • The result generalizes Theorem A (Marcinkiewicz–Zygmund) to the pairwise i.i.d. case, completing a unified strong law for $0 < p < 2$ under pairwise independence.

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This review was created by AI and reviewed by human editors.