Fr. 70.00

Lecture Notes in Real Analysis

English · Paperback / Softback

Shipping usually within 6 to 7 weeks

Description

Read more

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.   

List of contents

Prologue.- Measures.- Integrations.- Signed Measures and Differentiation.- Topology: A Generalization of Open Sets.- Elements of Functional Analysis.- Lp Spaces.

About the author

Xiaochang Wang is a professor in the Department of Mathematics at Texas Tech University.

Summary

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.   

Additional text

“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)

Report

"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)

Product details

Authors Xiaochang Wang
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 29.11.2018
 
EAN 9783319989556
ISBN 978-3-31-998955-6
No. of pages 207
Dimensions 156 mm x 239 mm x 13 mm
Weight 358 g
Illustrations XIII, 207 p. 23 illus., 22 illus. in color.
Series Compact Textbooks in Mathematics
Subjects Natural sciences, medicine, IT, technology > Mathematics > Analysis

B, measure theory, Mathematics and Statistics, Functional Analysis, Real Functions, Functions of real variables, Integral calculus & equations, Functional analysis & transforms, Measure and Integration

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.