From the reviews: "This volume is an appropriate text for a one-semester graduate course in integration theory and is complemented by the addition of several problems related to the new material. ... This volume should become a new relevant reference for integration theory. It will help the reader to sharpen his/her sensitivity to issues of measure theory, and to renew his/hers expertise in integration theory. ... warmly recommends the book with confidence to anyone who is interested in understanding modern integration theory." (Vicentiu D. Radulescu, Zentralblatt MATH, Vol. 1228, 2012) "This is a book in measure theory at the graduate level. ... The presentation is clear and concise, and detailed proofs are given. ... Each section also contains a long and useful list of exercises. ... The book is certainly well suited to the serious student or researcher in another field who wants to learn the topic. ... the book could be used by lecturers who want to illustrate a standard graduate course in measure theory by interesting examples from other areas of analysis." (Lars Olsen, Mathematical Reviews, Issue 2012 h)

The third chapter now includes a proof of Lebesgue's differential theorem for all monotone functions. Loose ends from the discussion of the Euler-MacLauren in Chapter I are tied together in Chapter seven. Chapter eight has been expanded to include a proof of Carathéory's method for constructing measures;
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Essentials of Integration Theory for Analysis is a substantial revision of the best-selling Birkhäuser title by the same author,  A Concise Introduction to the Theory of Integration. Highlights of this new textbook for the GTM series include revisions to Chapter 1 which add a section about the rate of convergence of Riemann sums and introduces a discussion of the Euler–MacLauren formula.  In Chapter 2, where Lebesque’s theory is introduced, a construction of the countably additive measure is done with sufficient generality to cover both Lebesque and Bernoulli  measures. Chapter 3 includes a proof of Lebesque’s differential theorem for all monotone functions and the concluding chapter has been expanded to include a proof of Carathéory’s  method for constructing measures and his result is applied to the construction of the Hausdorff measures.

This new gem is appropriate as a text for a one-semester graduate course in integration theory and is complimented by the addition of several problems related to the new material.  The text is also highly useful for self-study. A complete solutions manual is available for instructors who adopt the text for their courses.

Additional publications by Daniel W. Stroock:  An Introduction to Markov Processes,  ©2005 Springer (GTM 230), ISBN: 978-3-540-23499-9; A Concise Introduction to the Theory of Integration, © 1998 Birkhäuser Boston, ISBN: 978-0-8176-4073-6;  (with S.R.S. Varadhan) Multidimensional Diffusion Processes, © 1979 Springer (Classics in Mathematics), ISBN: 978-3-540-28998-2.

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Refocus and substantial revision of previous successful publication "A Concise Introduction to the Theory of Integration" by D.W. Stroock (Birkhauser) Separate solutions manual available to those who adopt the textbook New material is complemented by the addition of several new problems Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9781461429883
Publisert
2013-10-24
Utgiver
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Graduate, P, UP, 06, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
12

Forfatter