Lecture Notes in Real Analysis
Published on 21. November 2018
XIII, 207 pages
978-3-319-98956-3 (ISBN)
Description
This compact textbook is a collection of the author's lecture notes for a two-semester graduate-level real analysis course. While the material covered is standard, the author's approach is unique in that it combines elements from both Royden's and Folland's classic texts to provide a more concise and intuitive presentation. Illustrations, examples, and exercises are included that present Lebesgue integrals, measure theory, and topological spaces in an original and more accessible way, making difficult concepts easier for students to understand. This text can be used as a supplementary resource or for individual study.
Reviews / Votes
"The presentation of the chosen material is precise and intuitive. . This concise textbook may be useful for students in their self-learning, and for teachers who prepare systematic lectures on real analysis." (Marek Balcerzak, Mathematical Reviews, July, 2019)"The resulting book, that also features several examples and exercise problems to illustrate key concepts, is very clear and pleasant to read. In my opinion, the author fully successes in, using his own words, 'helping students to see that the Lebesgue measure and integration, and therefore the general measure theory, come naturally from the process of fixing the flaws of Riemann integrals'." (Emma D'Aniello, zbMATH 1423.26003, 2019)
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Product notice
Reflowable
Illustrations
XIII, 207 p. 23 illus., 22 illus. in color.
File size
2,26 MB
ISBN-13
978-3-319-98956-3 (9783319989563)
DOI
10.1007/978-3-319-98956-3
Schweitzer Classification
Other editions
Additional editions
Xiaochang Wang
Lecture Notes in Real Analysis
Book
02/2019
Birkhäuser
€53.49
Shipment within 10-15 days
Person
Xiaochang Wang
is a professor in the Department of Mathematics at Texas Tech University.
Content
Prologue.- Measures.- Integrations.- Signed Measures and Differentiation.- Topology: A Generalization of Open Sets.- Elements of Functional Analysis.- L
p
Spaces.
