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Essential Real Analysis / by Michael Field
(Springer Undergraduate Mathematics Series. ISSN:21974144)

1st ed. 2017.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2017
大きさ XVII, 450 p. 30 illus., 1 illus. in color : online resource
著者標目 *Field, Michael author
SpringerLink (Online service)
件 名 LCSH:Functions of real variables
LCSH:Sequences (Mathematics)
LCSH:Topology
LCSH:Fourier analysis
FREE:Real Functions
FREE:Sequences, Series, Summability
FREE:Topology
FREE:Fourier Analysis
一般注記 1 Sets, functions and the real numbers -- 2 Basic properties of real numbers, sequences and continuous functions -- 3 Infinite series -- 4 Uniform convergence -- 5 Functions -- 6. Topics from classical analysis: The Gamma-function and the Euler–Maclaurin formula -- 7 Metric spaces -- 8 Fractals and iterated function systems -- 9 Differential calculus on Rm -- Bibliography. Index
This book provides a rigorous introduction to the techniques and results of real analysis, metric spaces and multivariate differentiation, suitable for undergraduate courses. Starting from the very foundations of analysis, it offers a complete first course in real analysis, including topics rarely found in such detail in an undergraduate textbook such as the construction of non-analytic smooth functions, applications of the Euler-Maclaurin formula to estimates, and fractal geometry. Drawing on the author’s extensive teaching and research experience, the exposition is guided by carefully chosen examples and counter-examples, with the emphasis placed on the key ideas underlying the theory. Much of the content is informed by its applicability: Fourier analysis is developed to the point where it can be rigorously applied to partial differential equations or computation, and the theory of metric spaces includes applications to ordinary differential equations and fractals. Essential Real Analysis will appeal to students in pure and applied mathematics, as well as scientists looking to acquire a firm footing in mathematical analysis. Numerous exercises of varying difficulty, including some suitable for group work or class discussion, make this book suitable for self-study as well as lecture courses
HTTP:URL=https://doi.org/10.1007/978-3-319-67546-6
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Springer eBooks 9783319675466
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データ種別 電子ブック
分 類 LCC:QA331.5
DC23:515.8
書誌ID 4000115398
ISBN 9783319675466

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