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Titlebook: Harmonic Analysis on Symmetric Spaces—Higher Rank Spaces, Positive Definite Matrix Space and General; Audrey Terras Textbook 2016Latest ed

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書目名稱Harmonic Analysis on Symmetric Spaces—Higher Rank Spaces, Positive Definite Matrix Space and General
編輯Audrey Terras
視頻videohttp://file.papertrans.cn/425/424290/424290.mp4
概述New edition extensively revised and updated.Includes many new figures and examples.New topics include random matrix theory and quantum chaos.Includes recent work on modular forms and their correspondi
圖書封面Titlebook: Harmonic Analysis on Symmetric Spaces—Higher Rank Spaces, Positive Definite Matrix Space and General;  Audrey Terras Textbook 2016Latest ed
描述.This text is an introduction to harmonic analysis on symmetric spaces, focusing on advanced topics such as higher rank spaces, positive definite matrix space and generalizations. It is intended for beginning graduate students in mathematics or researchers in physics or engineering. As with the introductory book entitled "Harmonic Analysis on Symmetric Spaces - Euclidean Space, the Sphere, and the Poincaré Upper Half Plane, the style is informal with an emphasis on motivation, concrete examples, history, and applications. The symmetric spaces considered here are quotients X=G/K, where G is a non-compact real Lie group, such as the general linear group GL(n,P) of all n x n non-singular real matrices, and K=O(n), the maximal compact subgroup of orthogonal matrices. Other examples are Siegel‘s upper half "plane" and the quaternionic upper half "plane". In the case of the general linear group, one can identify X with the space Pn of n x n positive definite symmetric matrices..Manycorrections and updates have been incorporated in this new edition. Updates include discussions of random matrix theory and quantum chaos, as well as recent research on modular forms and their corresponding L-
出版日期Textbook 2016Latest edition
關(guān)鍵詞Eisenstein series; Harish-Chandra c-function; Helgason-Fourier transform; Poisson summation formula; Sel
版次2
doihttps://doi.org/10.1007/978-1-4939-3408-9
isbn_softcover978-1-4939-8042-0
isbn_ebook978-1-4939-3408-9
copyrightSpringer Science+Business Media New York 2016
The information of publication is updating

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Audrey Terrasponsive behaviour. However, current state-of-the-art methods are heavily dependant on physics-driven feedback to learn character behaviours and are not transferable to portraying behaviour such as social interactions and gestures. In this paper, we present a novel approach to data-driven character a
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