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The probabilistic point of view on the generalized fractional partial differential equations

Fractional Calculus and Applied Analysis. 2019. Vol. 22. No. 3. P. 543–600.
Kolokoltsov V.

This paper aims at unifying and clarifying the recent advances in the analysis of the fractional and generalized fractional Partial Differential Equations of Caputo and Riemann-Liouville type arising essentially from the probabilistic point of view. This point of view leads to the path integral representation for the solutions of these equations, which is seen to be stable with respect to the initial data and key parameters and is directly amenable to numeric calculations (Monte-Carlo simulation). In many cases these solutions can be compactly presented via the wide class of operatorvalued analytic functions of the Mittag-Leffler type, which are proved to be expressed as the Laplace transforms of the exit times of monotone Markov processes.

 

Research target: Mathematics
Language: English
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Keywords: Fractional Equationsдробные уравненияMarkov processмарковские процессы
Publication based on the results of:
Analysis of stochastic events described by the fractional stochastic equations, Langevin dynamics with elastic collisions, analysis of extremal events (2019)
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