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A First Course in Functional Analysis

By (author) Orr Moshe Shalit
Format: Hardback
Publisher: Taylor & Francis Inc, United States
Imprint: Chapman & Hall/CRC
Published: 7th Mar 2017
Dimensions: w 160mm h 241mm d 19mm
Weight: 530g
ISBN-10: 1498771610
ISBN-13: 9781498771610
Barcode No: 9781498771610
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Synopsis
Written as a textbook, A First Course in Functional Analysis is an introduction to basic functional analysis and operator theory, with an emphasis on Hilbert space methods. The aim of this book is to introduce the basic notions of functional analysis and operator theory without requiring the student to have taken a course in measure theory as a prerequisite. It is written and structured the way a course would be designed, with an emphasis on clarity and logical development alongside real applications in analysis. The background required for a student taking this course is minimal; basic linear algebra, calculus up to Riemann integration, and some acquaintance with topological and metric spaces.

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A First Course in Functional Analysis by Orr Moshe Shalit is an excellent introduction to linear analysis. Its straightforward approach to the key ideas of the field, with special emphasis on Hilbert spaces, will be very much appreciated both by students and instructors. The book is suitable for advanced undergraduates and beginning graduate students who have had prior exposure to advanced calculus and linear algebra. I highly recommend this book to anyone teaching a first course in abstract analysis.
-Jens Harlander, Boise State University A First Course in Functional Analysis by Orr Moshe Shalit is an excellent introduction to linear analysis. Its straightforward approach to the key ideas of the field, with special emphasis on Hilbert spaces, will be very much appreciated both by students and instructors. The book is suitable for advanced undergraduates and beginning graduate students who have had prior exposure to advanced calculus and linear algebra. I highly recommend this book to anyone teaching a first course in abstract analysis.
-Jens Harlander, Boise State University