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john taylor
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Could someone, in laymen's terms explain to me what stochastic mechanics is?
That's a nice summary. Unlike the wikipedia article, it actually gives an idea of what stochastic mechanics is about..Scott said:I am looking at this article: https://iopscience.iop.org/article/10.1088/1742-6596/361/1/012011/pdf
Nelson seems to claim that the predictions are the same for actual experiments. In the last paragraph of the paper you cited, he writes:.Scott said:In the introduction, it described stochastic mechanics (SM) as an "interpretation" or quantum mechanics (QM). But it is not. One interpretation of a theory, such as QM, should yield the same predictions as any other interpretation. But the article goes on to show that the model generated by SM is not equivalent to QM. QM makes consistently accurate predictions. SM does not.
This doesn't seem right to me. The main feature of stochastic mechanics is to have a Brownian motion like stochastic movement of particles going on all the time which gives the Schrödinger equation the status of some kind of diffusion equation. Up to this point in the description, no measurements are involved..Scott said:What SM does show is that there are is an awful lot of QM that results from no more than the randomness created when measurements are made - and other assumptions made by SM.
Stochastic quantum mechanics is a theoretical framework that combines quantum mechanics, the study of the behavior of matter and energy at a microscopic level, with stochastic processes, which are random processes that describe the evolution of a system over time.
Traditional quantum mechanics uses deterministic equations to describe the evolution of a system, while stochastic quantum mechanics incorporates randomness into the equations. This allows for a more realistic description of certain physical phenomena, such as the behavior of particles in a complex environment.
Stochastic quantum mechanics has been used to study a variety of systems, including chemical reactions, biological processes, and quantum computing. It has also been applied to fields such as finance and economics, where random fluctuations play a significant role.
The uncertainty principle, a fundamental principle in quantum mechanics, states that it is impossible to know both the position and momentum of a particle with absolute certainty. Stochastic quantum mechanics takes this principle into account by incorporating randomness into the equations, allowing for a more accurate description of a system's behavior.
Stochastic quantum mechanics is a relatively new theoretical framework and is still being actively researched and debated in the scientific community. While some scientists have embraced it as a more realistic approach to understanding complex systems, others remain skeptical and continue to use traditional quantum mechanics. Further research and experimentation are needed to fully understand the implications and applications of stochastic quantum mechanics.