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Measure Theory for Analysis and Probability

Language EnglishEnglish
Book Hardback
Book Measure Theory for Analysis and Probability Alok Goswami
Libristo code: 46574930
Publishers Springer, Berlin, January 2025
This book covers major measure theory topics with a fairly extensive study of their applications to ... Full description
? points 180 b
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145.73  лв
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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 a detailed account of   spaces and their duals. After revisiting probability theory, it discusses standard limit theorems such as the laws of large numbers and the central limit theorem, with detailed treatment of weak convergence and the role of characteristic functions.

The book further explores conditional probabilities and expectations, preceded by motivating discussions. It discusses the construction of probability measures on infinite product spaces, presenting Tulcea's theorem and Kolmogorov's consistency theorem. The text concludes with the construction of Brownian motion, examining its path properties and the significant strong Markov property. This comprehensive guide is invaluable not only for those pursuing probability theory seriously but also for those seeking a robust foundation in measure theory to advance in modern analysis. By effectively motivating readers, it underscores the critical role of measure theory in grasping fundamental probability concepts.

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About the book

Full name Measure Theory for Analysis and Probability
Language English
Binding Book - Hardback
Date of issue 2025
Number of pages 352
EAN 9789819779284
Libristo code 46574930
Publishers Springer, Berlin
Weight 734
Dimensions 155 x 235
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