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Record 3 of 5
You searched IISERK - Author: Heij, G.
Tag In 1 In 2 Data
001  vtls000035268
003  IISER-K
005  20210225111800.0
007  cr nn 008mamaa
008  210225s2019 gw | s |||| 0|eng d
020  \a 9783030269036 \9 978-3-030-26903-6
035  \a (DE-He213)978-3-030-26903-6
039 9\y 202102251118 \z Siladitya
050 4\a QA312-312.5
08204\a 515.42 \2 23
1001 \a Heil, Christopher. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
24510\a Introduction to Real Analysis \h [electronic resource] / \c by Christopher Heil.
250  \a 1st ed. 2019.
264 1\a Cham : \b Springer International Publishing : \b Imprint: Springer, \c 2019.
300  \a XXXII, 386 p. 1 illus. \b online resource.
336  \a text \b txt \2 rdacontent
337  \a computer \b c \2 rdamedia
338  \a online resource \b cr \2 rdacarrier
347  \a text file \b PDF \2 rda
4901 \a Graduate Texts in Mathematics, \x 0072-5285 ; \v 280
5050 \a Preliminaries -- 1. Metric and Normed Spaces -- 2. Lebesgue Measure -- 3. Measurable Functions -- 4. The Lebesgue Integral -- 5. Differentiation -- 6. Absolute Continuity and the Fundamental Theorem of Calculus -- 7. The L<i>p Spaces -- 8. Hilbert Spaces and L^2(E) -- 9. Convolution and the Fourier Transform.
520  \a Developed over years of classroom use, this textbook provides a clear and accessible approach to real analysis. This modern interpretation is based on the author’s lecture notes and has been meticulously tailored to motivate students and inspire readers to explore the material, and to continue exploring even after they have finished the book. The definitions, theorems, and proofs contained within are presented with mathematical rigor, but conveyed in an accessible manner and with language and motivation meant for students who have not taken a previous course on this subject. The text covers all of the topics essential for an introductory course, including Lebesgue measure, measurable functions, Lebesgue integrals, differentiation, absolute continuity, Banach and Hilbert spaces, and more. Throughout each chapter, challenging exercises are presented, and the end of each section includes additional problems. Such an inclusive approach creates an abundance of opportunities for readers to develop their understanding, and aids instructors as they plan their coursework. Additional resources are available online, including expanded chapters, enrichment exercises, a detailed course outline, and much more. Introduction to Real Analysis is intended for first-year graduate students taking a first course in real analysis, as well as for instructors seeking detailed lecture material with structure and accessibility in mind. Additionally, its content is appropriate for Ph.D. students in any scientific or engineering discipline who have taken a standard upper-level undergraduate real analysis course.
650 0\a Measure theory.
650 0\a Operator theory.
650 0\a Topology.
650 0\a Functional analysis.
650 0\a Fourier analysis.
65014\a Measure and Integration. \0 https://scigraph.springernature.com/ontologies/product-market-codes/M12120
65024\a Operator theory. \0 https://scigraph.springernature.com/ontologies/product-market-codes/M12139
65024\a Topology. \0 https://scigraph.springernature.com/ontologies/product-market-codes/M28000
65024\a Functional analysis. \0 https://scigraph.springernature.com/ontologies/product-market-codes/M12066
65024\a Fourier analysis. \0 https://scigraph.springernature.com/ontologies/product-market-codes/M12058
7102 \a SpringerLink (Online service)
7730 \t Springer Nature eBook
77608\i Printed edition: \z 9783030269012
77608\i Printed edition: \z 9783030269029
830 0\a Graduate Texts in Mathematics, \x 0072-5285 ; \v 280
85640\u https://doi.org/10.1007/978-3-030-26903-6
912  \a ZDB-2-SMA
912  \a ZDB-2-SXMS
950  \a Mathematics and Statistics (SpringerNature-11649)
950  \a Mathematics and Statistics (R0) (SpringerNature-43713)

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