<p>The target of this paper is to provide evidence that the <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41096_2025_241_Article_IEq3.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>γ</mi> </math></EquationSource> </InlineEquation>-order Generalized Normal distribution emerged from the Logarithmic Sobolev Inequalities is the only one based on a strong solid theoretical background, while the existing similar attempts lack theoretical basis. Moreover, the theoretical extensions provided by this distribution create new <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41096_2025_241_Article_IEq3.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>γ</mi> </math></EquationSource> </InlineEquation>-order distributions, fit to the Information Theory and provide more Statistical and Mathematical extensions.</p>

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On the Emerged from LSI γ-Order Generalized Normal Distribution

  • Christos Kitsos,
  • Ioannis Stamatiou

摘要

The target of this paper is to provide evidence that the \(\gamma\) γ -order Generalized Normal distribution emerged from the Logarithmic Sobolev Inequalities is the only one based on a strong solid theoretical background, while the existing similar attempts lack theoretical basis. Moreover, the theoretical extensions provided by this distribution create new \(\gamma\) γ -order distributions, fit to the Information Theory and provide more Statistical and Mathematical extensions.