Measure Theory and Integration

Copertina anteriore
Horwood Publishing, 15 lug 2003 - 240 pagine
This text approaches integration via measure theory as opposed to measure theory via integration, an approach which makes it easier to grasp the subject. Apart from its central importance to pure mathematics, the material is also relevant to applied mathematics and probability, with proof of the mathematics set out clearly and in considerable detail. Numerous worked examples necessary for teaching and learning at undergraduate level constitute a strong feature of the book, and after studying statements of results of the theorems, students should be able to attempt the 300 problem exercises which test comprehension and for which detailed solutions are provided.

  • Approaches integration via measure theory, as opposed to measure theory via integration, making it easier to understand the subject
  • Includes numerous worked examples necessary for teaching and learning at undergraduate level
  • Detailed solutions are provided for the 300 problem exercises which test comprehension of the theorems provided
 

Sommario

Preface
9
Preliminaries
15
Measure on the Real Line
27
Integration of Functions of a Real Variable
54
Differentiation
77
Abstract Measure Spaces
93
Inequalities and the LP Spaces
109
Convergence
121
Signed Measures and their Derivatives
133
LebesgueStieltjes Integration
153
Measure and Integration in a Product Space
176
Hints and Answers to Exercises
197
References
236
Copyright

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Informazioni sull'autore (2003)

Gar De Barra, University of London, UK

Informazioni bibliografiche