On the theory of relativistic Brownian motion
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913369008635904 |
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| author | Kurianovich, E. A. Mikhailov, A. I. Volovich, I. V. |
| author_facet | Kurianovich, E. A. Mikhailov, A. I. Volovich, I. V. |
| contents | The approach to the theory of a relativistic random process is considered by the path integral method as Brownian motion taking into account the boundedness of speed. An attempt was made to build a relativistic analogue of the Wiener measure as a weak limit of finite-difference approximations. A formula has been proposed for calculating the probability particle transition during relativistic Brownian motion. Calculations were carried out by three different methods with identical results. Along the way, exact and asymptotic formulas for the volume of some parts and sections of an N-1-dimensional unit cube were obtained. They can have independent value. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_19282 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On the theory of relativistic Brownian motion Kurianovich, E. A. Mikhailov, A. I. Volovich, I. V. General Relativity and Quantum Cosmology Probability The approach to the theory of a relativistic random process is considered by the path integral method as Brownian motion taking into account the boundedness of speed. An attempt was made to build a relativistic analogue of the Wiener measure as a weak limit of finite-difference approximations. A formula has been proposed for calculating the probability particle transition during relativistic Brownian motion. Calculations were carried out by three different methods with identical results. Along the way, exact and asymptotic formulas for the volume of some parts and sections of an N-1-dimensional unit cube were obtained. They can have independent value. |
| title | On the theory of relativistic Brownian motion |
| topic | General Relativity and Quantum Cosmology Probability |
| url | https://arxiv.org/abs/2405.19282 |