EdX

Differential Equations: 2x2 Systems (edX)

Offered by MIT, MITx,
Differential Equations: 2x2 Systems (edX)

In order to understand most phenomena in the world, we need to understand not just single equations, but systems of differential equations. In this course, we start with 2x2 systems. Differential equations are the language of the models we use to describe the world around us. Most phenomena require not a single differential equation, but a system of coupled differential equations. In this course, we will develop the mathematical toolset needed to understand 2x2 systems of first order linear and nonlinear differential equations.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

We will use 2x2 systems and matrices to model:

  • predator-prey populations in an ecosystem,
  • competition for tourism between two states,
  • the temperature profile of a soft boiling egg,
  • automobile suspensions for a smooth ride,
  • pendulums, and
  • RLC circuits that tune to specific frequencies.

The five modules in this seriesare being offered as an XSeries, Differential EquationsXSeries Program .

What you'll learn

  • How to model real world problems by 2x2 systems of differential equations
  • How to use matrix methods to solve homogeneous systems of 2 first order linear differential equations
  • How to use graphical methods to understand the qualitative behavior of linear and nonlinear systems, and how to apply linear approximation to nonlinear (autonomous) 2x2 systems

Prerequisites:
Introduction to Differential Equations (Scalar equations)

Syllabus

Unit 1: Linear 2x2 systems

  1. Introduction to systems of differential equations
  2. Solving 2x2 homogeneous linear systems of differential equations
  3. Complex eigenvalues, phase portraits, and energy
  4. The trace-determinant plane and stability

Unit 2: Nonlinear 2x2 systems

  1. Linear approximation of autonomous systems
  2. Stability of autonomous systems
  3. Nonlinear pendulum
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

A-Level Further Mathematics for Year 12 - Course 2: 3 x 3 Matrices, Mathematical Induction, Calculus Methods and Applications, Maclaurin Series, Complex Numbers and Polar Coordinates (edX) EdX
Imperial College London,ImperialX

A-Level Further Mathematics for Year 12 - Course 2: 3 x 3 Matrices, Mathematical Induction, Calculus Methods and Applications, Maclaurin Series, Complex Numbers and Polar Coordinates (edX)

Develop your thinking skills, fluency and confidence in A-level further maths and prepare for undergraduate STEM degrees. This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. You will investigate key topic areas to gain a deeper understanding of the skills and techniques that you can apply throughout your A-level study.

Self Paced
Self-Paced
Métodos numéricos para matemáticas con Octave (edX) EdX
Universitat Politècnica de València,UPValenciaX

Métodos numéricos para matemáticas con Octave (edX)

En este curso en línea se hace una introducción a diferentes temas relacionados con la resolución numérica de ecuaciones diferenciales ordinarias. En este curso de matemáticas se desarrollaran aspectos básicos relacionados con la resolución numérica de problemas de valor inicial asociados a ecuaciones diferenciales ordinarias, tanto desde un punto de vista teórico como práctico, haciendo uso del programa Octave para resolver distintos ejercicios relacionados.

Self Paced
Self-Paced
Introducción a Matemáticas para Finanzas y Negocios (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Introducción a Matemáticas para Finanzas y Negocios (edX)

El objetivo del curso es entender como ciertos conceptos matemáticos se utilizan de forma recurrente para analizar problemas financieros y de negocios. En la primera parte del curso se analiza el caso de las funciones lineales donde se introduce el concepto de pendiente para cuantificar la dependencia entre las variables.

Self Paced
Self-Paced
Effective Thinking Through Mathematics (edX) EdX
University of Texas at Austin,UTAustinX

Effective Thinking Through Mathematics (edX)

Learn tools of effective thinking through puzzles and mathematics in this fun and fascinating course. A wondrously romantic belief is that brilliant thinkers magically produce brilliant ideas: Einstein jostles his hair and relativity falls out. We can enjoy these fanciful visions of leaps of genius, but we should not be fooled into believing that they’re reality.

Self Paced
Self-Paced
Linear Algebra II: Matrix Algebra (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra II: Matrix Algebra (edX)

This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. Your ability to apply the concepts that we introduced in our previous course is enhanced when you can perform algebraic operations with matrices. At the start of this class, you will see how we can apply the Invertible Matrix Theorem to describe how a square matrix might be used to solve linear equations.

Self Paced
Self-Paced
Maths Essentials (edX) EdX
Imperial College Business School,Imperial College London

Maths Essentials (edX)

Discover and acquire the fundamental maths skills that you will need to use while studying an MBA program, from algebra to differentiation and geometric series. Planning to study for an MBA but unsure of your basic maths skills? All MBA programs, and in business generally require some maths, particularly on quantitative subjects such as Accounting, Economics and Finance.

Self Paced
Self-Paced
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced
MathTrackX: Polynomials, Functions and Graphs (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Polynomials, Functions and Graphs (edX)

Develop an understanding of polynomials, functions and graphs and how these build the foundation for more complex mathematical concepts. This course is part one of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Self Paced
Self-Paced