<p>For a sequence <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13398_2025_1709_Article_IEq1.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="96" /> </InlineMediaObject> <EquationSource Format="TEX">\(\{X_{n}, \, n \geqslant 1 \}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">{</mo> <msub> <mi>X</mi> <mi>n</mi> </msub> <mo>,</mo> <mspace width="0.166667em" /> <mi>n</mi> <mo>⩾</mo> <mn>1</mn> <mo stretchy="false">}</mo> </mrow> </math></EquationSource> </InlineEquation> of random variables satisfying <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13398_2025_1709_Article_IEq2.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="84" /> </InlineMediaObject> <EquationSource Format="TEX">\({\mathbb {E}} |X_{n} |&lt; \infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mrow> <mi mathvariant="double-struck">E</mi> <mo stretchy="false">|</mo> </mrow> <msub> <mi>X</mi> <mi>n</mi> </msub> <mrow> <mo stretchy="false">|</mo> <mo>&lt;</mo> <mi>∞</mi> </mrow> </mrow> </math></EquationSource> </InlineEquation> for all <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13398_2025_1709_Article_IEq3.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="43" /> </InlineMediaObject> <EquationSource Format="TEX">\(n \geqslant 1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>n</mi> <mo>⩾</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, a maximal inequality is established, and used to obtain strong law of large numbers for dependent random variables.</p>

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A maximal inequality for dependent random variables

  • João Lita da Silva

摘要

For a sequence \(\{X_{n}, \, n \geqslant 1 \}\) { X n , n 1 } of random variables satisfying \({\mathbb {E}} |X_{n} |< \infty \) E | X n | < for all \(n \geqslant 1\) n 1 , a maximal inequality is established, and used to obtain strong law of large numbers for dependent random variables.