Calendar · Lecture Notes
MIT OpenCourseWare
Differential Analysis
- Instructor
- Prof. Jeff Viaclovsky
- Term
- Spring 2004
- Level
- Graduate
- What's inside
- 1 lecture note · 25 other files · 3 web pages
- Materials open
- MIT OCW
Other versions of this course
- 18.156 · Spring 2016 · Study here
- 18.156 · Spring 2004 · Study here (this version)
About this course
Source: MIT OpenCourseWare 18.156 Differential Analysis, Spring 2004, Prof. Jeff Viaclovsky — 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.
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 25 items is confirmed. Assignment and exam materials exist too, but MIT's own order for them could not be verified, so they're shown as materials below rather than a sequence.
Not included here
1 item from the source could not be safely included:
- Referenced in a table, but without MIT's own verified order, so it isn't used to claim a sequence.
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
25 files
- Lecture 0 · Course Overview Examples of Harmonic Functions Fundamental Solutions for Laplacian and… Download
- Lecture 1 · Harmonic Functions and Mean Value Theorem Maximum Principle and Uniqueness Harnack… Download
- Lecture 2 · Definition of Green’s Function for General Domains Green’s Function for a Ball The… Download
- Lecture 3 · Weak Solutions Further Properties of Green’s Functions Weyl’s Lemma: Regularity of Weakly… Download
- Lecture 4 · A Removable Singularity Theorem Laplacian in General Coordinate Systems Asymptotic… Download
- Lecture 5 · Kelvin Transform I: Direct Computation Harmonicity at Infinity, and Decay Rates of… Download
- Lecture 6 · Weak Maximum Princple for Linear Elliptic Operators Uniqueness of Solutions to Dirichlet… Download
- Lecture 7 · Quasilinear Equations (Minimal Surface Equation) Fully Nonlinear Equations… Download
- Lecture 8 Download
- Lecture 9 Download
- Lecture 10 Download
- Lecture 11 Download
- Lecture 12 Download
- Lecture 13 · Interior Schauder Estimate Download
- Lecture 14 · Global Schauder Estimate Banach Spaces and Contraction Mapping Principle Download
- Lecture 15 · Continuity Method Can Solve Dirichlet Problem for General L Provided can Solve for… Download
- Lecture 16 Download
- Lecture 17 Download
- Lecture 18 · Sobolev Imbedding Theorem p < n Morrey’s Inequality Download
- Lecture 19 Download
- Lecture 20 Download
- Lecture 21 Download
- Lecture 22 Download
- Lecture 23 Download
- Lecture 24 Download
Assignments
Course outline
Calendar · Lecture Notes
Lecture 1: Harmonic Functions and Mean Value Theorem Maximum Principle and Uniqueness Harnack Inequality Derivative Estimates for Harmonic Functions Green’s Representation Formula
Calendar · Lecture Notes
Lecture 2: Definition of Green’s Function for General Domains Green’s Function for a Ball The Poisson Kernel and Poisson Integral Solution of Dirichlet Problem in Balls for Continuous Boundary Data Continuous + Mean Value Property <-> Harmonic
Calendar · Lecture Notes
Lecture 3: Weak Solutions Further Properties of Green’s Functions Weyl’s Lemma: Regularity of Weakly Harmonic Functions
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Lecture 4: A Removable Singularity Theorem Laplacian in General Coordinate Systems Asymptotic Expansions
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Lecture 5: Kelvin Transform I: Direct Computation Harmonicity at Infinity, and Decay Rates of Harmonic Functions Kelvin II: Poission Integral Formula Proof Kelvin III: Conformal Geometry Proof
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Lecture 6: Weak Maximum Princple for Linear Elliptic Operators Uniqueness of Solutions to Dirichlet Problem A Priori C⁰ Estimates for Solutions to Lu = f, c leq 0 Strong Maximum Principle
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Lecture 7: Quasilinear Equations (Minimal Surface Equation) Fully Nonlinear Equations (Monge-Ampere Equation) Comparison Principle for Nonlinear Equations
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Lecture 8: If Delta u in L^{infty}, then u in C^{1,alpha}, any 0 < alpha < 1 If Delta u in L^{p}, p > n, then u in C^{1,alpha}, p = n/(1 - alpha)
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Lecture 9: If Delta u in C^{alpha}, alpha > 0, then u in C^{2} Moreover, if alpha < 1, then u in C^{2,alpha} (Proof to be completed next lecture)
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Lecture 10: Interior C^{2,alpha} Estimate for Newtonian Potential Interior C^{2,alpha} Estimates for Poisson’s Equation Boundary Estimate on Newtonian Potential: C^{2,alpha} Estimate up to the Boundary for Domain with Flat Boundary Portion
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Lecture 11: Schwartz Reflection Reviewed Green’s Function for Upper Half Space Reviewed C^{2,alpha} Boundary Estimate for Poisson’s Equation for Flat Boundary Portion Global C^{2,alpha} Estimate for Poisson’s Equation in a Ball for Zero Boundary Data C^{2,alpha} Regularity of Dirichlet Problem in a Ball for C^{2,alpha} Boundary Data
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Lecture 12: Global C^{2,alpha} Solution of Poisson’s Equation Delta u = f in C^{alpha}, for C^{2,alpha} Boundary Values in Balls Constant Coefficient Operators Interpolation between Hölder Norms
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Lecture 13: Interior Schauder Estimate
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Lecture 14: Global Schauder Estimate Banach Spaces and Contraction Mapping Principle
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Lecture 15: Continuity Method Can Solve Dirichlet Problem for General L Provided can Solve for Laplacian Corollary: Solution of C^{2, alpha} Dirichlet Problem in Balls for General L Solution of Dirichlet Problem in C^{2,alpha} for Continuous Boundary Values, in Balls
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Lecture 16: Elliptic Regularity: If f and Coefficients of L in C^{k,alpha}, Lu = f, then u in C^{k+2,alpha} C^{2,alpha} Regularity up to the Boundary
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Lecture 17: C^{k,alpha} Regularity up to the Boundary Hilbert Spaces and Riesz Representation Theorem Weak Solution of Dirichlet Problem for Laplacian in W^{1,2}_0 Weak Derivatives Sobolev Spaces
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Lecture 18: Sobolev Imbedding Theorem p < n Morrey’s Inequality
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Lecture 19: Sobolev Imbedding for p > n, Hölder Continuity Kondrachov Compactness Theorem Characterization of W^{1,p} in Terms of Difference Quotients
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Lecture 20: Characterization of W^{1,p} in Terms of Difference Quotients (cont.) Interior W^{2,2} Estimates for W^{1,2}_0 Solutions of Lu = f in L²
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Lecture 21: Interior W^{k+2,2} Estimates for Solutions of Lu = f in W^{k,2} Global (up to the Boundary) W^{k+2,2} Estimates for Solutions of Lu = f in W^{k,2}
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Lecture 22: Weak L² Maximum Principle Global a priori W^{k+2,2} Estimate for Lu = f, f in W^{k,2}, c(x) leq 0
Calendar · Lecture Notes
Lecture 23: Cube Decomposition Marcinkiewicz Interpolation Theorem L^p Estimate for the Newtonian Potential W^{1,p} Estimate for N.P. W^{2,2} Estimate for N.P.
Calendar · Lecture Notes
Lecture 24: W^{2,p} Estimate for N.P., 1 < p < infty W^{2,p} Estimate for Operators L with Continuous Leading Order Coefficients
MIT OpenCourseWare, Prof. Jeff Viaclovsky, 18.156 Differential Analysis, Spring 2004.
License: CC BY-NC-SA 4.0 · Edition: Spring 2004 · Open the original course on OCW ↗
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