18.125
Measure Theory and Analysis
Provides a rigorous introduction to Lebesgue's theory of measure and integration. Covers material that is essential in analysis, probability theory, and differential geometry.
Fall 2003 · Measure and Integration
Topics
- Why Measure Theory?
- Real-valued Measurable Functions
- Riemann Integral
- Integral is Additive for Simple Functions
- Integral of Complex Functions
- Lebesgue Measure on R^n
- Definition of Lebesgue Measurable for Sets with Finite Outer Measure
- Caratheodory Criterion
- Invariance of Lebesgue Measure under Translations and Dilations
- Integration as a Linear Functional
- Lusin’s Theorem (Measurable Functions are nearly continuous)
- Approximation of Measurable Functions by Continuous Functions
- Egoroff’s Theorem (Pointwise Convergence is nearly uniform)
- Convex Functions
- L^p Spaces, 1 Leq p Leq Infty
- C_c Dense in L^p, 1 Leq p < Infty
- Inclusions between L^p Spaces? l^p Spaces?
- Fubini’s Theorem in R^n for Non-negative Functions
- Fubini’s Theorem in R^n for L^1 Functions
- Fubini’s Theorem for Product Measure
- Young’s Inequality
- Fundamental Theorem of Calculus for Lebesgue Integral
- Lebesgue’s Differentiation Theorem
- Generalized Minkowski Inequality
Readings
- Rudin, Walter. Real and Complex Analysis. McGraw-Hill International Editions: Mathematics Series. McGraw-Hill Education - Europe, 1986. ISBN: 9780070542341.
- Jones, Frank. Lebesgue Integration on Euclidean Space. Boston: Jones & Bartlett Publishers, February 1, 1993. Evans, Lawrence C., and Ronald F. Gariepy. Measure Theory and Fine Properties of Function. Boca Raton, Florida: CRC Press, December 18, 1991. ISBN: 0849371570.
Prerequisites & course information
Prereq: 18.100A , 18.100B , 18.100P , or 18.100Q G (Spring) 3-0-9 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2003
- MIT OCW syllabus ↗
- MIT OCW calendar ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.