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Convolution-like Structures, Differential Operators and Diffusion Processes / by Rúben Sousa, Manuel Guerra, Semyon Yakubovich
(Lecture Notes in Mathematics. ISSN:16179692 ; 2315)
| 版 | 1st ed. 2022. |
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| 出版者 | Cham : Springer International Publishing : Imprint: Springer |
| 出版年 | 2022 |
| 本文言語 | 英語 |
| 大きさ | XII, 262 p. 1 illus. in color : online resource |
| 冊子体 | Convolution-like structures, differential operators and diffusion processes / Rúben Sousa, Manuel Guerra, Semyon Yakubovich ; : pbk |
| 著者標目 | *Sousa, Rúben author Guerra, Manuel author Yakubovich, Semyon author SpringerLink (Online service) |
| 件 名 | LCSH:Probabilities LCSH:Operator theory LCSH:Special functions LCSH:Mathematical analysis FREE:Probability Theory FREE:Operator Theory FREE:Special Functions FREE:Integral Transforms and Operational Calculus |
| 一般注記 | This book provides an introduction to recent developments in the theory of generalized harmonic analysis and its applications. It is well known that convolutions, differential operators and diffusion processes are interconnected: the ordinary convolution commutes with the Laplacian, and the law of Brownian motion has a convolution semigroup property with respect to the ordinary convolution. Seeking to generalize this useful connection, and also motivated by its probabilistic applications, the book focuses on the following question: given a diffusion process Xt on a metric space E, can we construct a convolution-like operator * on the space of probability measures on E with respect to which the law of Xt has the *-convolution semigroup property? A detailed analysis highlights the connection between the construction of convolution-like structures and disciplines such as stochastic processes, ordinary and partial differential equations, spectral theory,special functions and integral transforms. The book will be valuable for graduate students and researchers interested in the intersections between harmonic analysis, probability theory and differential equations HTTP:URL=https://doi.org/10.1007/978-3-031-05296-5 |
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| 電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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| 電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783031052965 |
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電子リソース |
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EB00251298 |
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| データ種別 | 電子ブック |
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| 分 類 | LCC:QA273.A1-274.9 DC23:519.2 |
| 書誌ID | 4000339784 |
| ISBN | 9783031052965 |
