<DIV>This updated and introductory text approaches integration via measure as opposed to measure 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
Measure and integration theory
β Scribed by Heinz Bauer, Robert B. Burckel
- Publisher
- Gruyter
- Year
- 2002
- Tongue
- English
- Leaves
- 248
- Series
- De Gruyter Studies in Mathematics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book gives a straightforward introduction to the field, as it is nowadays required in many branches of analysis and especially in probability theory. The first three chapters (Measure Theory, Integration Theory, Product Measures) basically follow the clear and approved exposition given in the authorβs earlier book on "Probability Theory and Measure Theory". Special emphasis is laid on a complete discussion of the transformation of measures and integration with respect to the product measure, convergence theorems, parameter depending integrals, as well as the Radon-Nikodym theorem.
The final chapter, essentially new and written in a clear and concise style, deals with the theory of Radon measures on Polish or locally compact spaces. With the main results being Luzinβs theorem, the Riesz representation theorem, the Portmanteau theorem, and a characterization of locally compact spaces which are Polish, this chapter is a true invitation to study topological measure theory.
The text addresses graduate students, who wish to learn the fundamentals in measure and integration theory as needed in modern analysis and probability theory. It will also be an important source for anyone teaching such a course.
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Approaches integration via measure, rather than measure via integration.
This updated and introductory text approaches integration via measure as opposed to measure 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
- 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 whi
Measure on the real line; Integration of functions of a real variable; Differentiation; Abstract measure spaces; Inequalities and the Lp spaces; Convergence; Signed measures and their derivatives; Lebesgue-stieljes integration; Measure and integration in a product space; Hints and answers to exerci