BOOK
Introduction to Measure and Integration
This classic textbook provides a self-contained introduction to the theory of finite measures and integration in general spaces, intended for advanced undergraduate or postgraduate mathematics students. The book establishes measure as the primary concept, deriving the integral by extending its definition from simple functions using monotone limits. While covering general measure spaces, it places significant emphasis on Lebesgue measure and the Lebesgue integral as foundational examples. The content originally appeared as the initial section of the 1966 work Introduction to Measure and Probability by J. F. C. Kingman and S. J. Taylor.
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