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Titlebook: Ordinary and Stochastic Differential Geometry as a Tool for Mathematical Physics; Yuri E. Gliklikh Book 1996 Springer Science+Business Med

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,Langevin’S Equation in Geometric Form,tement 6.23 it follows that w(t) does not exist in the standard sense, but one can make its definition sensible in terms of distributions. White noise is useful for deriving clearly a well-posed differential equation for a physical process. Below, having introduced the Langevin’s equation in differe
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,Nelson’S Stochastic Mechanics,of classical physics but giving the same predictions as quantum mechanics. Stochastic mechanics can be considered as the third method of quantization different from the well known Hamiltonian and Lagrangian (based on the path integrals) methods. Each of the methods has its own scope of applicability
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Mathematics and Its Applicationshttp://image.papertrans.cn/o/image/703701.jpg
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https://doi.org/10.1007/978-94-015-8634-4Probability theory; Stochastic processes; differential geometry; manifold; mathematical physics; stochast
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978-90-481-4731-1Springer Science+Business Media Dordrecht 1996
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,Elements of Coordinate — Free Differential Geometry,pace (e.g., the so-called generalized coordinates of mechanics) but a total coordinate system, applicable to all points, is absent. The notion of manifold is a mathematical formalization for such sets.
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The Lagrangian Approach To Hydrodynamics,Let Θ be a bounded domain in R. with a smooth boundary. Consider the space L. (Θ) of square integrable scalar functions. To define the Sobolev space H.(Θ) for all s ∈ Z we first set H°(Θ) = L.(Θ).
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Book 1996tensively worked out in contemporary mathematics. In particular, during the last decades a new branch of Global Analysis, Stochastic Differential Geometry, was formed to meet the needs of Mathematical Physics. It deals with a lot of various second order differential equations on finite and infinite-
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