What would a textbook on measure theory be called?

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SUMMARY

The discussion centers on the lack of textbook solutions for "measure theory" on chegg.com, contrasting it with the availability for abstract algebra. Key phrases to search for include "measure theory," "measure and integration," and "real analysis." Recommended textbooks include "Measures, Integrals and Martingales" by R. L. Schilling and "An Introduction to Lebesgue Integration and Fourier Series" by Wilcox and Myers. Additionally, Rosenthal's "First Look at Rigorous Probability Theory" 2nd Edition is highlighted for those interested in probability.

PREREQUISITES
  • Familiarity with basic concepts of measure theory
  • Understanding of Lebesgue integration
  • Knowledge of probability theory
  • Experience with real analysis
NEXT STEPS
  • Research "Lebesgue integration techniques" for a deeper understanding of measure theory
  • Explore "Measures, Integrals and Martingales" by R. L. Schilling for advanced insights
  • Study "An Introduction to Lebesgue Integration and Fourier Series" by Wilcox and Myers for foundational knowledge
  • Investigate "First Look at Rigorous Probability Theory" 2nd Edition by Rosenthal for applications in probability
USEFUL FOR

Students and educators in mathematics, particularly those focusing on measure theory, real analysis, and probability theory, will benefit from this discussion.

gummz
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I was quite distraught knowing that chegg.com has no textbook solutions for "measure theory" even though it has four for abstract algebra. Could it be that the textbooks are called something else?
 
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You could look for phrases like: (introduction to) measure theory, measure and integration, real analysis and combinations thereof. Most intermediate and advanced textbooks on probability start with a longer or shorter discussion of measure theory and measure-theoretic probability. The scope and accents of the treatments may vary between books, of course.

Recently I heard good things about Measures, Integrals and Martingales by R. L. Schilling, but there are lots of other worthy titles.
 
Another keyword to look for in introductory texts is "Lebesgue."

For example, I've found "An Introduction to Lebesgue Integration and Fourier Series" by Wilcox and Myers to be a nice primer on the basics of measure theory.

Krylov's mentioned probability textbooks. Rosenthal's "First Look at Rigorous Probability Theory" 2nd Edition is also a nice place to start, if you like probability.
 
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