Elements of Measure and Probability
English | 2025 | ISBN: 9819527570 | 318 Pages | PDF (True) | 5 MB
English | 2025 | ISBN: 9819527570 | 318 Pages | PDF (True) | 5 MB
This book can serve as a first course on measure theory and measure theoretic probability for upper undergraduate and graduate students of mathematics, statistics and probability. Starting from the basics, the measure theory part covers Caratheodory’s theorem, Lebesgue–Stieltjes measures, integration theory, Fatou’s lemma, dominated convergence theorem, basics of Lp spaces, transition and product measures, Fubini’s theorem, construction of the Lebesgue measure in Rd, convergence of finite measures, Jordan–Hahn decomposition of signed measures, Radon–Nikodym theorem and the fundamental theorem of calculus.