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Titlebook: Stochastic Quantization; Mikio Namiki Book 1992 Springer-Verlag Berlin Heidelberg 1992 Minkowski spacetime.quantization.renormalization

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书目名称Stochastic Quantization
编辑Mikio Namiki
视频video
丛书名称Lecture Notes in Physics Monographs
图书封面Titlebook: Stochastic Quantization;  Mikio Namiki Book 1992 Springer-Verlag Berlin Heidelberg 1992 Minkowski spacetime.quantization.renormalization
描述This is a textbook on stochastic quantization which was originally proposed by G. Parisi and Y. S. Wu in 1981 and then developed by many workers. I assume that the reader has finished a standard course in quantum field theory. The Parisi-Wu stochastic quantization method gives quantum mechanics as the thermal-equilibrium limit of a hypothetical stochastic process with respect to some fictitious time other than ordinary time. We can consider this to be a third method of quantization; remarkably different from the conventional theories, i. e, the canonical and path-integral ones. Over the past ten years, we have seen the technical merits of this method in quantizing gauge fields and in performing large numerical simulations, which have never been obtained by the other methods. I believe that the stochastic quantization method has the potential to extend the territory of quantum mechanics and of quantum field theory. However, I should remark that stochastic quantization is still under development through many mathematical improvements and physical applications, and also that the fictitious time of the theory is only a mathematical tool, for which we do not yet know its origin in the p
出版日期Book 1992
关键词Minkowski spacetime; quantization; renormalization
版次1
doihttps://doi.org/10.1007/978-3-540-47217-9
isbn_softcover978-3-662-13880-9
isbn_ebook978-3-540-47217-9Series ISSN 0940-7677
issn_series 0940-7677
copyrightSpringer-Verlag Berlin Heidelberg 1992
The information of publication is updating

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hat are invariant with respect to the encoder resolution. In this work, we will show how to compute the upper limit of the estimation error depending on a desired pose and posture of the manipulator. Both positioning and orientation error due to this discretization effects are considered. Simulation
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hat are invariant with respect to the encoder resolution. In this work, we will show how to compute the upper limit of the estimation error depending on a desired pose and posture of the manipulator. Both positioning and orientation error due to this discretization effects are considered. Simulation
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hat are invariant with respect to the encoder resolution. In this work, we will show how to compute the upper limit of the estimation error depending on a desired pose and posture of the manipulator. Both positioning and orientation error due to this discretization effects are considered. Simulation
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