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Titlebook: Geometric Aspects of Functional Analysis; Israel Seminar (GAFA Bo‘a(chǎn)z Klartag,Emanuel Milman Book 2017 Springer International Publishing AG

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書目名稱Geometric Aspects of Functional Analysis
副標題Israel Seminar (GAFA
編輯Bo‘a(chǎn)z Klartag,Emanuel Milman
視頻videohttp://file.papertrans.cn/384/383474/383474.mp4
叢書名稱Lecture Notes in Mathematics
圖書封面Titlebook: Geometric Aspects of Functional Analysis; Israel Seminar (GAFA Bo‘a(chǎn)z Klartag,Emanuel Milman Book 2017 Springer International Publishing AG
描述As in the previous Seminar Notes, the current volume reflects general trends in the study of Geometric Aspects of Functional Analysis, understood in a broad sense. A classical theme in the Local Theory of Banach Spaces which is well represented in this volume is the identification of lower-dimensional structures in high-dimensional objects. More recent applications of high-dimensionality are manifested by contributions in Random Matrix Theory, Concentration of Measure and Empirical Processes. Naturally, the Gaussian measure plays a central role in many of these topics, and is also studied in this volume; in particular, the recent breakthrough proof of the Gaussian Correlation Conjecture is revisited. The interplay of the theory with Harmonic and Spectral Analysis is also well apparent in several contributions. The classical relation to both the primal and dual Brunn-Minkowski theories is also well represented, and related algebraic structures pertaining to valuations and valent functions are discussed. All contributions are original research papers and were subject to the usual refereeing standards.
出版日期Book 2017
關(guān)鍵詞80M35, 26A51, 32-XX, 46-XX, 60-XX; Asymptotic Geometric Analysis; Functional Analysis; Spectral Analysi
版次1
doihttps://doi.org/10.1007/978-3-319-45282-1
isbn_softcover978-3-319-45281-4
isbn_ebook978-3-319-45282-1Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer International Publishing AG 2017
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Book 2017 broad sense. A classical theme in the Local Theory of Banach Spaces which is well represented in this volume is the identification of lower-dimensional structures in high-dimensional objects. More recent applications of high-dimensionality are manifested by contributions in Random Matrix Theory, Co
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