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020 _a9781071605110
082 _a515
_bDSH
100 _aDshalalow, Jewgeni H.
245 _aFoundations of abstract analysis
250 _a2nd ed.
260 _bSpringer,
_aCham :
_c2014
300 _axiii, 748 p. ;
_c23 cm.
_bill.,
365 _b3990.00
_c
_d01
490 _aGraduate Texts in Mathematics ;
_v174
504 _aIncludes bibliographical references and index.
520 _aFoundations of Abstract Analysis is the first of a two book series offered as the second (expanded) edition to the previously published text Real Analysis. It is written for a graduate-level course on real analysis and presented in a self-contained way suitable both for classroom use and for self-study. While this book carries the rigor of advanced modern analysis texts, it elaborates the material in much greater details and therefore fills a gap between introductory level texts (with topics developed in Euclidean spaces) and advanced level texts (exclusively dealing with abstract spaces) making it accessible for a much wider interested audience. To relieve the reader of the potential overload of new words, definitions, and concepts, the book (in its unique feature) provides lists of new terms at the end of each section, in a chronological order. Difficult to understand abstract notions are preceded by informal discussions and blueprints followed by thorough details and supported by examples and figures. To further reinforce the text, hints and solutions to almost a half of more than 580 problems are provided at the end of the book, still leaving ample exercises for assignments. This volume covers topics in point-set topology and measure and integration. Prerequisites include advanced calculus, linear algebra, complex variables, and calculus based probability.
650 _aMathematical analysis
650 _aSet Theory
650 _aPoint-Set Topology
650 _aMetric spaces
650 _aAbstract Integration
650 _aMeasure Theory
650 _aPoint-Set Topology
942 _2ddc
_cBK