Measure Theory for Analysis and Probability

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This book covers major measure theory topics with a fairly extensive study of their applications to probability and analysis. It begins by demonstrating the essential nature of measure theory before delving into the construction of measures and the development of integration theory. Special attention is given to probability spaces and random variables/vectors. The text then explores product spaces, Radon-Nikodym and Jordan-Hahn theorems, providing...

Format:Hardcover

Language:English

ISBN:9819779286

ISBN13:9789819779284

Release Date:December 2024

Publisher:Springer

Length:401 Pages

Dimensions:6.1" x 9.3"

Related Subjects

Math Mathematics Science & Math

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Measure Theory for Analysis and Probability

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