Calendar · Lecture Notes
MIT OpenCourseWare
Differential Analysis
Art: Max Brückner (1860 – 1934), Brückner Vielflache Tafel 07 · Public domain
- Instructor
- Prof. Richard Melrose
- Term
- Fall 2004
- Level
- Graduate
- What's inside
- 1 solution · 2 lecture notes · 25 other files · 3 web pages
- Materials open
- MIT OCW
About this course
Source: MIT OpenCourseWare 18.155 Differential Analysis, Fall 2004, Prof. Richard Melrose — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.
Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.
Has MIT solutions
Before you start
Prerequisites are not listed here. Check MIT's own syllabus for this course.
How this course was organized
What's here, and what isn't
- A lecture sequence of 20 items is confirmed. It stays as organized materials rather than a full course order.
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
18 files
- The entire lecture notes is available as a single file or by individual chapters listed below. Download
- Continuous Functions Download
- Measures and σ-algebras Download
- Measureability of Functions Download
- Integration Download
- Hilbert Space Download
- Test Functions Download
- Tempered Distributions Download
- Convolution and Density Download
- Fourier Inversion Download
- Sobolev Embedding Download
- Differential Operators Download
- Cone Support and Wavefront Set Download
- Homogeneous Distributions Download
- Spectral Theorem Download
- Problems Download
- Solutions Download
- References Download
Assignments
8 files
Other materials from this course
Course outline
Calendar · Lecture Notes
Lecture 2: Outer Measures and Measures
Calendar · Lecture Notes
Lecture 3: Caratheodory’s Theorem
Calendar · Lecture Notes
Lecture 4: Measurable Functions and the Integral - Including Lebesgue’s Theorem of Dominated Convergence
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Lecture 5: Riesz Representation, L p Spaces and Completeness, L ²( X ,μ) and Hilbert Space
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Lecture 6: Riesz Representation for Hilbert Space Differentiability and Schwartz Space of Test Functions
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Lecture 7: Properties of S (Rⁿ) Tempered Distributions Differentiation and Differential Operators Fourier Transform
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Lecture 8: Bump Functions Characterization of δ Fourier Inversion Plancherel Formula
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Lecture 9: Convolution and Density Fourier Transform on L ²(Rⁿ)
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Lecture 10: Sobolev Spaces and Sobolev Embedding Duality between Sobolev Spaces
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Lecture 11: Schwartz Representation Theorem Fundamental Solution of ∂x + i∂y Support of a Distribution; Distributions of Compact Support (Start)
Calendar · Lecture Notes
Lecture 12: Compact Supports Convolution of Distributions supp(u*v) ⊂ supp(u)+ supp(v) if one, at least, has Compact Support Fundamental Solutions
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Lecture 13: Singular Support, Hypoellipticity, Ellipticity - Parametrices for Elliptic Operators
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Lecture 14: Fundamental Solution of the Heat Operator, Hypoellipticity, Initial Value Problem Homogeneity The Distributions xz±, z ∈ C\(-N)
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Lecture 15: Distributions Supported at 0 Homogeneous Distributions of Order on the Line Hadamard Regularization Cone Supports
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Lecture 16: Singular Support and Products Conic Support and Convolution
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Lecture 17: Wavefront Set Refines Singular Support Scattering Wavefront Set Product and Wavefront Set The Wave Equation
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Lecture 18: Fundamental Solution of the Wave Equation Solution to the Cauchy Problem
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Lecture 19: Operators and Schwartz’ Kernel Theorem
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Lecture 25: Questions Trace as Integral of the Kernel over the Diagonal Microlocal Analysis
MIT OpenCourseWare, Prof. Richard Melrose, 18.155 Differential Analysis, Fall 2004.
License: CC BY-NC-SA 4.0 · Edition: Fall 2004 · Open the original course on OCW ↗
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