<p>Let <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11009_2025_10154_Article_IEq1.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="31" /> </InlineMediaObject> <EquationSource Format="TEX">\((Y_n)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <msub> <mi>Y</mi> <mi>n</mi> </msub> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> be a Mandelbrot’s cascade in an independent and identically distributed (i.i.d.) random environment <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11009_2025_10154_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\xi \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>ξ</mi> </math></EquationSource> </InlineEquation>. According to the existence of the annealed Laplace transform of the limit variable <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11009_2025_10154_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="119" /> </InlineMediaObject> <EquationSource Format="TEX">\(W = {\lim _{n \rightarrow \infty }}{W_n}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>W</mi> <mo>=</mo> <msub> <mo movablelimits="true">lim</mo> <mrow> <mi>n</mi> <mo stretchy="false">→</mo> <mi>∞</mi> </mrow> </msub> <msub> <mi>W</mi> <mi>n</mi> </msub> </mrow> </math></EquationSource> </InlineEquation>, where <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11009_2025_10154_Article_IEq4.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="110" /> </InlineMediaObject> <EquationSource Format="TEX">\({W_n} = {{{Y_n}} / {{E_\xi }}}{Y_n}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>W</mi> <mi>n</mi> </msub> <mo>=</mo> <mrow> <msub> <mi>Y</mi> <mi>n</mi> </msub> <mo stretchy="false">/</mo> <msub> <mi>E</mi> <mi>ξ</mi> </msub> </mrow> <msub> <mi>Y</mi> <mi>n</mi> </msub> </mrow> </math></EquationSource> </InlineEquation> is the normalized population size, and with the use of the associated random walks, Cramér moderate deviations and Berry-Esseen bounds for <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11009_2025_10154_Article_IEq5.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="43" /> </InlineMediaObject> <EquationSource Format="TEX">\(\log Y_n\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>log</mo> <msub> <mi>Y</mi> <mi>n</mi> </msub> </mrow> </math></EquationSource> </InlineEquation> are established. It is shown that harmonic moments of Mandelbrot’s martingale <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11009_2025_10154_Article_IEq6.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="37" /> </InlineMediaObject> <EquationSource Format="TEX">\((W_n)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <msub> <mi>W</mi> <mi>n</mi> </msub> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> exist. Applications to construction of confidence intervals and simulations are also given.</p>

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Cramér Moderate Deviations and Berry-Esseen Bounds for Mandelbrot’s Cascade in a Random Environment

  • Yingqiu Li,
  • Peihan Li,
  • Yushao Wei

摘要

Let \((Y_n)\) ( Y n ) be a Mandelbrot’s cascade in an independent and identically distributed (i.i.d.) random environment \(\xi \) ξ . According to the existence of the annealed Laplace transform of the limit variable \(W = {\lim _{n \rightarrow \infty }}{W_n}\) W = lim n W n , where \({W_n} = {{{Y_n}} / {{E_\xi }}}{Y_n}\) W n = Y n / E ξ Y n is the normalized population size, and with the use of the associated random walks, Cramér moderate deviations and Berry-Esseen bounds for \(\log Y_n\) log Y n are established. It is shown that harmonic moments of Mandelbrot’s martingale \((W_n)\) ( W n ) exist. Applications to construction of confidence intervals and simulations are also given.