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Generalised Fractional Evolution Equations of Caputo Type
Analysis of PDEs · Submitted 1 Jun 2017
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Using analytical methods and probabilistic arguments we obtain well-posedness results and stochastic representations for the solutions.
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This paper is devoted to the study of generalised time-fractional evolution equations involving Caputo type derivatives. Using analytical methods and probabilistic arguments we obtain well-posedness results and stochastic representations for the solutions. These results encompass known linear and non-linear equations from classical fractional partial differential equations such as the time-space-fractional diffusion equation, as well as their far reaching extensions. \\ Meaning is given to a probabilistic generalisation of Mittag-Leffler functions.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | This paper is devoted to the study of generalised time-fractional evolution equations involving Caputo type derivatives. | contribution 0.77 | 0.56 | 0.06 | asserted 0.94 |
| s1 | Using analytical methods and probabilistic arguments we obtain well-posedness results and stochastic representations for the solutions. | contribution 0.51 | 0.95 | 0.43 | asserted 1.00 |
| s2 | These results encompass known linear and non-linear equations from classical fractional partial differential equations such as the time-space-fractional diffusion equation, as well as their far reaching extensions. | result 0.41 | 0.60 | 0.26 | asserted 1.00 |
| s3 | \\ Meaning is given to a probabilistic generalisation of Mittag-Leffler functions. | contribution 0.69 | 0.74 | 0.08 | asserted 0.99 |
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Original abstract
This paper is devoted to the study of generalised time-fractional evolution equations involving Caputo type derivatives. Using analytical methods and probabilistic arguments we obtain well-posedness results and stochastic representations for the solutions. These results encompass known linear and non-linear equations from classical fractional partial differential equations such as the time-space-fractional diffusion equation, as well as their far reaching extensions. \\ Meaning is given to a probabilistic generalisation of Mittag-Leffler functions.
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For instance, a very standard example of the equation ([ref]), first studied by Schneider and Wyss [ref] and Kochubei [ref] (see also [ref] , [ref] , [ref] and references therein), is given by the time-fractional diffusion equation, where $-A= - 1/2 Δ$, $Δ$ being the Laplace operator.
Fractional Calculus: Some Basic Problems in Continuum and Statistical Mechanics · Introduction · 0.82
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