In classical mechanics objectivity lost when Riemann-Liouwille or Caputo fractional order derivatives are used
Agneta M. Balint, Stefan Balint

TL;DR
This paper argues that using Riemann-Liouville or Caputo fractional derivatives in classical mechanics compromises the objectivity of physical descriptions, raising questions about the interpretation of such models.
Contribution
It highlights the loss of objectivity in mechanical descriptions when fractional derivatives are used, questioning their validity in physical modeling.
Findings
Fractional derivatives can lead to non-objective descriptions of mechanical systems.
Recent literature often neglects the issue of objectivity in fractional models.
The paper questions the interpretation of results from non-objective models.
Abstract
In section.1 the objectivity in science is presented shortly. In section.2 some details concerning the objectivity in the case of the mechanical movement description of a material particle are given. In section.3 details concerning the objectivity of the description in the Newtonian continuum mechanics are given. The Riemann-Liouville and the Caputo fractional order derivatives are presented shortly in section 4. In section 5 the lost of the objectivity of the mechanical movement descriptions, presented in sections 2,3, due to the use of the Riemann-Liouville or the Caputo fractional order derivatives is presented. This is followed, in section 6, by the presentation of some recent papers which propose the use of these fractional order derivatives, instead of the integer order derivatives, in the description of some physical phenomena. It is underlined that the objectivity in these last…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Iterative Methods for Nonlinear Equations · Advanced Control Systems Design
