Real Analysis I/Measure Theory and Integration
Prerequisites: A score of 68% or higher in MATH 321.
Instructor
Joel Feldman
Text
I will post all handouts, problem sets, etc. on the web
here.
Other References
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H. L. Royden, Real Analysis.
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W. Rudin, Real and Complex Analysis.
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E. H. Lieb and M. Loss, Analysis.
Topics
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Measures
(§1):
Sigma-algebras, measures
Borel and Lebesgue measures
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Integration
(§2):
Measurable functions, integration
Convergence, product measures
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Differentiation (§3):
Signed measures, Lebesgue-Radon-Nikodym Theorem
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Lp Spaces (§6):
Lp Spaces, Holder and Minkowski inequalities
Dual spaces
Grading
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There will be weekly problem sets accounting for about 50% of the final mark.
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The final exam will account for about 50% of the final mark.
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Grades will probably be scaled.
Policies
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The final examination will be strictly
closed book: no formula sheets or calculators will be allowed.
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There is no supplemental examination in this course.
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Late homework assignments normally receive a grade of 0.
Missing a homework normally results in a mark of 0.
Exceptions may be granted in two cases: prior consent of the instructor
or a medical emergency.