Elements of Formal Probabilistic Mechanics
Farida Kachapova1 & Ilias Kachapov2 Show affiliations
- Auckland University of Technology, New Zealand
- University of Auckland, New Zealand
Journal of Mathematics and Statistics, Volume 18, Issue 1, pp. 16–26 · doi.org/10.3844/jmssp.2022.16.26
Abstract
In this study model of particle motion on a three-dimensional lattice is created using discrete random walk with small steps. A probability space of the particle trajectories is rigorously constructed. Unlike deterministic approach in classical mechanics, here probabilistic properties of particle movement are used to formally derive analogues of Newton’s first and second laws of motion. Similar probabilistic models can potentially be applied to justify laws of thermodynamics in a consistent manner.
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Kachapova, F. & Kachapov, I. (2022). Elements of Formal Probabilistic Mechanics. Journal of Mathematics and Statistics, 18(1), 16–26. https://doi.org/10.3844/jmssp.2022.16.26
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