Functional Analysis: An Introduction to Metric Spaces, Hilbert Spaces, and Banach Algebras

Muscat, Joseph

  • 出版商: Springer
  • 出版日期: 2024-02-29
  • 售價: $2,470
  • 貴賓價: 9.5$2,347
  • 語言: 英文
  • 頁數: 464
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031275365
  • ISBN-13: 9783031275364
  • 海外代購書籍(需單獨結帳)

商品描述

This textbook provides an introduction to functional analysis suitable for lecture courses to final year undergraduates or beginning graduates.

Starting from the very basics of metric spaces, the book adopts a self-contained approach to Banach spaces and operator theory that covers the main topics, including the spectral theorem, the Gelfand transform, and Banach algebras. Various applications, such as least squares approximation, inverse problems, and Tikhonov regularization, illustrate the theory. Over 1000 worked examples and exercises of varying difficulty present the reader with ample material for reflection.

This new edition of Functional Analysis has been completely revised and corrected, with many passages rewritten for clarity, numerous arguments simplified, and a good amount of new material added, including new examples and exercises. The prerequisites, however, remain the same with only knowledge of linear algebra and real analysis of a singlevariable assumed of the reader.

商品描述(中文翻譯)

這本教科書提供了一個適合於大學最後一年的本科生或初級研究生的函數分析入門課程。從度量空間的基礎開始,本書採用了一種自包含的方法來介紹巴拿赫空間和算子理論,包括光譜定理、蓋爾芬德變換和巴拿赫代數等主要主題。各種應用,如最小二乘逼近、反問題和提孔諾夫正則化,用以說明理論。超過1000個不同難度的例題和練習提供了讀者充足的反思材料。

這本函數分析的新版已經完全修訂和校正,許多段落經過重寫以提高清晰度,許多論點簡化,並增加了大量新的材料,包括新的例子和練習題。然而,先備知識保持不變,只需讀者具備線性代數和單變量實分析的知識。

作者簡介

Professor Joseph Muscat graduated from the University of Oxford and obtained his Ph.D. from Princeton University with a thesis on the Maxwell-Klein-Gordon equation on curved space-time. He has written several papers on the applications of functional analysis to inverse problems in the biomedical field and is a co-author of the novel ACSP method in EEG signal processing.

作者簡介(中文翻譯)

Joseph Muscat教授畢業於牛津大學,並在普林斯頓大學獲得博士學位,論文研究了曲面時空中的Maxwell-Klein-Gordon方程。他撰寫了多篇關於功能分析在生物醫學領域逆問題應用的論文,並是腦電圖信號處理中ACSP方法的合著者之一。