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M. R. Formica

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Open access Aug 2026

Tail estimates in Grand Lebesgue Spaces with applications to Riesz transforms

<jats:p> We study the tail behavior of measurable functions under operators satisfying suitable <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$L^p$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> bounds in the framework of Grand Lebesgue Spaces. By exploiting the connection between the growth of <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$L^p$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> norms and the Young–Fenchel transform, we derive explicit tail estimates. We also present model examples and apply the abstract result to the classical Riesz transforms, showing how the <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$L^p$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> growth of the operator interacts with the intrinsic tail behavior of the input function. </jats:p>

M. R. Formica, E. Ostrovsky, L. Sirota · 0 citations

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