
Course18.03SC122 lectures
Differential Equations
Prof. Arthur Mattuck and others · Massachusetts Institute of Technology
About
The laws of nature are expressed as differential equations. Scientists and engineers must know how to model the world in terms of differential equations, and how to solve those equations and interpret the solutions. This course focuses on the equations and techniques most useful in science and engineering.
Course Format
This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
Lecture Videos by Professor Arthur Mattuck.
Course Notes on every topic.
Practice Problems with Solutions.
Problem Solving Videos taught by experienced MIT Recitation Instructors.
Problem Sets to do on your own with Solutions to check your answers against when you’re done.
A selection of Interactive Java® Demonstrations called Mathlets to illustrate key concepts.
A full set of Exams with Solutions, including practice exams to help you prepare.
Content Development
Haynes Miller
Lectures
Basic DE's and Separable Equations
Geometric Methods
- Geometric View of DE's: Direction Fields, Integral Curves
- Example, Existence and Uniqueness
- Example Where Existence and Uniqueness Fails
- Exploration of the Isoclines Applet
- Direction Fields
Numerical Methods
- Euler's Method
- Example of Euler's Method
- Exploration of the Euler's Method Applet
- Better Methods
- Pitfalls
- Euler's Method
First Order Linear ODE's
Solution by Integrating Factors
Complex Arithmetic and Exponentials
- Complex Arithmetic, Euler's Formula
- Justification of Euler's Formula
- Polar Form
- Example: Complex Replacement
- Nth Roots
- Complex Numbers and Euler's Formula
Sinusoidal Functions
First Order Constant Coefficient Linear ODE's
- Solutions to Constant Coefficient Linear First Order ODE's
- Examples of Constant Coefficient Linear First Order ODE's
- More Examples of Constant Coefficient Equations
- First Order Constant Coefficient Linear ODE's
Exponential Input; Gain and Phase Lag
First Order Autonomous Differential Equations
- First Order Autonomous Equations
- Bank Account
- Example: Logistic Model
- Exploration of the Phase Lines Applet
- Example: Logistic Model with Harvesting
- Autonomous Equations and Phase Lines
Modes and the Characteristic Equation
- Constant Coefficient Second Order Homogeneous DE's
- Real Roots: Overdamping
- Complex Roots: Underdamping
- Repeated Roots: Critical Damping
- Real Solutions from Complex Roots
- Homogeneous Constant Coefficient Equations: Real Roots
- Homogeneous Constant Coefficient Equations: Any Roots
Damped Harmonic Oscillators
- Damping and Pseudo-Frequency
- Exploration of the Damped Vibrations Applet
- Damped Harmonic Oscillators
Exponential Response
- Linear Operators and Superposition
- Inhomogeneous Second Order DE's: Definitions and Models
- Particular and General Solutions
- Inhomogeneous DE's with Exponential Input
- Forced Oscillations
Gain and Phase Lag
Undetermined Coefficients
Linear Operators, Linear Time Invariance
Pure Resonance
Frequency Response and Practical Resonance
Fourier Series: Basics
- Introduction to Fourier Transform
- Fourier Series for Functions with Period 2L
- Orthogonality Relations
- Computing Fourier Series
Operations on Fourier Series
- Even and Odd Functions
- Convergence of Fourier Series
- Exploration of the Fourier Coefficient Applet
- Manipulating Fourier Series
ODE's with Periodic Input, Resonance
Step and Delta Functions: Integrals and Generalized Derivatives
Unit Step and Unit Impulse Response
Convolution
- Example: f(t)*1
- Example: Radioactive Dumping
- Exploration of the Convolution Accumulation Applet
- Convolution and Green's Formula
Laplace Transform: Basics
- Laplace Transform
- Notation and Linearity
- Start of Laplace Table
- Functions of Exponential Type
- Laplace Transform of Powers
- Laplace Transform: Basics
Partial Fractions and Inverse Laplace Transform
Laplace Transform: Solving Initial Value Problems
Transfer (System) and Weight Functions, Green's Formula
Poles, Amplitude Response, Connection to ERF
Linear Systems
- Introduction to Systems
- Autonomous Systems: Solutions are Parametrized Curves
- Linear Systems of Equations
Matrix Methods: Eigenvalues and Normal Modes
- Matrix Methods Introduction, First Example
- Matrix Systems: General Terminology
- Complex Eigenvalues: Example
- Three Chamber Mixing Example: Repeated Roots
- Linear Systems: Matrix Methods
- Linear Systems: Complex Roots
Qualitative Behavior: Phase Portraits
Matrix Exponentials
- Theory of Systems
- Fundamental Matrices
- The Matrix Exponential I
- The Matrix Exponential II
- Example: Solving a System with the Matrix Exponential
- Calculating the Exponential Matrix
- Variation of Parameters
- Matrix Exponentials
- Decoupling
Nonlinear Systems
Linearization Near Critical Points
Limitations of the Linear: Limit Cycles and Chaos
Syllabus and materials
At MIT OpenCourseWare, as the course publishes them.
Credits and licence
- Institution
- Massachusetts Institute of Technology
- Department
- Mathematics
- Taught by
- Prof. Arthur Mattuck, Prof. Haynes Miller, Dr. Jeremy Orloff, Dr. John Lewis
- Term
- Fall 2011
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- MIT OpenCourseWare
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
- Attribution
- Prof. Arthur Mattuck, Prof. Haynes Miller, Dr. Jeremy Orloff, Dr. John Lewis. Differential Equations. Fall 2011. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- MIT OpenCourseWare gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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