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Fractional Calculus and Applied Analysis
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A Meyer-Itô formula for stable processes via fractional calculus

صيغة ماير- إيتو للعمليات المستقرة عبر حساب التفاضل والتكامل الجزئي
Authors: Alejandro Santoyo Cano; Gerónimo Uribe Bravo;

A Meyer-Itô formula for stable processes via fractional calculus

Abstract

AbstractThe infinitesimal generator of a one-dimensional strictly $$\alpha $$ α -stable process can be represented as a weighted sum of (right and left) Riemann-Liouville fractional derivatives of order $$\alpha $$ α and one obtains the fractional Laplacian in the case of symmetric stable processes. Using this relationship, we compute the inverse of the infinitesimal generator on Lizorkin space, from which we can recover the potential if $$\alpha \in (0,1)$$ α ∈ ( 0 , 1 ) and the recurrent potential if $$\alpha \in (1,2)$$ α ∈ ( 1 , 2 ) . The inverse of the infinitesimal generator is expressed in terms of a linear combination of (right and left) Riemann-Liouville fractional integrals of order $$\alpha $$ α . One can then state a class of functions that give semimartingales when applied to strictly stable processes and state a Meyer-Itô theorem with a non-zero (occupational) local time term, providing a generalization of the Tanaka formula given by Tsukada [1]. This result is used to find a Doob-Meyer (or semimartingale) decomposition for $$|X_t - x|^{\gamma }$$ | X t - x | γ with X a recurrent strictly stable process of index $$\alpha $$ α and $$\gamma \in (\alpha -1,\alpha )$$ γ ∈ ( α - 1 , α ) , generalizing the work of Engelbert and Kurenok [2] to the asymmetric case.

Keywords

Artificial intelligence, Random operators and equations (aspects of stochastic analysis), 26A33, 60G18, 60G52, Stochastic partial differential equations (aspects of stochastic analysis), Fractional derivatives and integrals, stable processes, Classical Analysis and ODEs (math.CA), FOS: Mathematics, Self-similar stochastic processes, semimartingale decomposition, PDEs with randomness, stochastic partial differential equations, Riemann-Liouville fractional operators, Anomalous Diffusion Modeling and Analysis, Mathematical Physics, Itô-Tanaka formulae, Probability (math.PR), Statistical and Nonlinear Physics, Lizorkin space, Fractional partial differential equations, Computer science, Algorithm, Fractional Derivatives, Stable stochastic processes, Physics and Astronomy, Mathematics - Classical Analysis and ODEs, Modeling and Simulation, Physical Sciences, Characterization of Chaotic Quantum Dynamics and Structures, p-adic Models in Mathematical Physics, Mathematics - Probability, Mathematics

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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