Bernstein Fractional Derivatives: Censoring and Stochastic Processes

Abstract We define censored fractional Bernstein derivatives on the positive half-line based on the Bernstein–Riemann–Liouville fractional derivative. The censored fractional derivative turns out to be the generator of the censored decreasing subordinator $$S^c = (S_t^c)_{t\geqslant 0}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>S</mml:mi> <mml:mi>c</mml:mi> </mml:msup> <mml:mo>=</mml:mo> <mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:msubsup> <mml:mi>S</mml:mi> <mml:mi>t</mml:mi> <mml:mi>c</mml:mi> </mml:msubsup> <mml:mo>)</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>⩾</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> . We provide two constructions of the censored subordinator: (i) pathwise by removing those jumps from the decreasing subordinator $$(x-S_t)_{t\geqslant 0}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>x</mml:mi> <mml:mo>-</mml:mo> <mml:msub> <mml:mi>S</mml:mi> <mml:mi>t</mml:mi> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>⩾</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> , $$x&gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>x</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> , that drive the path into negative territory. (ii) via a semigroup approach and the Hille–Yosida theorem. Then we show that the censored decreasing subordinator has only finite life-time, and we identify various probability distributions related to $$S^c.$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>S</mml:mi> <mml:mi>c</mml:mi> </mml:msup> <mml:mo>.</mml:mo> </mml:mrow> </mml:math>

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Publication Details

Journal
Fractional Calculus and Applied Analysis
Published
2025-12-17
DOI
https://doi.org/10.1007/s13540-025-00478-2
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Bernstein Fractional Derivatives: Censoring and Stochastic Processes

David Berger, Cailing Li, René L. Schilling
Fractional Calculus and Applied Analysis
Fractional Differential Equations Solutions
article

Bernstein Fractional Derivatives: Censoring and Stochastic Processes

David Berger, Cailing Li, René L. Schilling
article en

Abstract

Abstract We define censored fractional Bernstein derivatives on the positive half-line based on the Bernstein–Riemann–Liouville fractional derivative. The censored fractional derivative turns out to be the generator of the censored decreasing subordinator $$S^c = (S_t^c)_{t\geqslant 0}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>S</mml:mi> <mml:mi>c</mml:mi> </mml:msup> <mml:mo>=</mml:mo> <mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:msubsup> <mml:mi>S</mml:mi> <mml:mi>t</mml:mi> <mml:mi>c</mml:mi> </mml:msubsup> <mml:mo>)</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>⩾</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> . We provide two constructions of the censored subordinator: (i) pathwise by removing those jumps from the decreasing subordinator $$(x-S_t)_{t\geqslant 0}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>x</mml:mi> <mml:mo>-</mml:mo> <mml:msub> <mml:mi>S</mml:mi> <mml:mi>t</mml:mi> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>⩾</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> , $$x&gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>x</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> , that drive the path into negative territory. (ii) via a semigroup approach and the Hille–Yosida theorem. Then we show that the censored decreasing subordinator has only finite life-time, and we identify various probability distributions related to $$S^c.$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>S</mml:mi> <mml:mi>c</mml:mi> </mml:msup> <mml:mo>.</mml:mo> </mml:mrow> </mml:math>

Fractional Calculus and Applied AnalysisVol. 29(1)
Technische Universität Dresden (DE)
Openalex Percentile: Top 56%
Fractional Differential Equations Solutions
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