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Titlebook: Probability and Stochastic Processes for Physicists; Nicola Cufaro Petroni Textbook 2020 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 18:16:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Probability and Stochastic Processes for Physicists
編輯Nicola Cufaro Petroni
視頻videohttp://file.papertrans.cn/757/756944/756944.mp4
概述Builds a bridge between physics and probability.Explains the role of Brownian motion in physics.Includes appendices devoted to particular details, calculations and concise treatments of thought-provok
叢書(shū)名稱UNITEXT for Physics
圖書(shū)封面Titlebook: Probability and Stochastic Processes for Physicists;  Nicola Cufaro Petroni Textbook 2020 The Editor(s) (if applicable) and The Author(s),
描述This book seeks to bridge the gap between the parlance, the models, and even the notations used by physicists and those used by mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability, including probability spaces and measures, random variables, and limit theorems. Here, the focus is mainly on models and ideas rather than the mathematical tools. The discussion of limit theorems serves as a gateway to extensive coverage of the theory of stochastic processes, including, for example, stationarity and ergodicity, Poisson and Wiener processes and their trajectories, other Markov processes, jump-diffusion processes, stochastic calculus, and stochastic differential equations. All these conceptual tools then converge in a dynamical theory of Brownian motion that compares the Einstein–Smoluchowski and Ornstein–Uhlenbeck approaches, highlighting the most important ideas that finally led to a connection between the Schr?dinger equation and diffusion processes along the lines of Nelson’s stochastic mechanics. A series of appendices cover particular details and calculations, and offer concise treatm
出版日期Textbook 2020
關(guān)鍵詞Probability for Physicists Textbook; Markov Processes; Brownian Motion; Jump-Diffusion Processes; Ito Ca
版次1
doihttps://doi.org/10.1007/978-3-030-48408-8
isbn_softcover978-3-030-48410-1
isbn_ebook978-3-030-48408-8Series ISSN 2198-7882 Series E-ISSN 2198-7890
issn_series 2198-7882
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 21:01:42 | 只看該作者
Markovianityh directions, and it could be intuitively expressed by saying that . To emphasize this symmetry we will start by giving the following definition of the ., briefly postponing a proof of its equivalence with the other, more familiar formulations.
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An Outline of Stochastic Calculusar process whose main properties can be traced back to the non differentiability of some processes. As a first example we have shown indeed that the Poisson impulse process?(.) and its associated compensated version?(.) are white noises entailed by the formal derivation respectively of a simple Pois
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Nicola Cufaro Petronie of battery and the kind of external influences, the battery is stressed in many different ways. This leads to an alteration of the internal self-organization processes which are indicative for the present internal state and the future development of the battery. To get detailed information about t
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Nicola Cufaro Petroninn Haken, the founder of Synergetics.Very carefully edited o.All of us are confronted with complex phenomena occurring in daily life and in the living and inanimate nature surrounding us. Our scientific curiosity strives to unravel the mechanisms at work to create such complexity. Among various appr
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