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Differential Equations: Linear Algebra and NxN Systems of Differential Equations

Learn how to use linear algebra and MATLAB to solve large systems of differential equations.

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Differential Equations: Linear Algebra and NxN Systems of Differential Equations
Este curso está archivado

Differential Equations: Linear Algebra and NxN Systems of Differential Equations

Learn how to use linear algebra and MATLAB to solve large systems of differential equations.

Differential Equations: Linear Algebra and NxN Systems of Differential Equations
9 semanas
5–8 horas por semana
Al ritmo del instructor
Con un cronograma específico
Este curso está archivado

Sobre este curso

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Differential equations are the mathematical language we use to describe the world around us. Most phenomena can be modeled not by single differential equations, but by systems of interacting differential equations. These systems may consist of many equations. In this course, we will learn how to use linear algebra to solve systems of more than 2 differential equations. We will also learn to use MATLAB to assist us.

We will use systems of equations and matrices to explore:

  • The original page ranking systems used by Google,
  • Balancing chemical reaction equations,
  • Tuned mass dampers and other coupled oscillators,
  • Threeor more species competing for resources in an ecosystem,
  • The trajectory of a rider on a zipline.

The five modules in this seriesare being offered as an XSeries on edX. Please visit the Differential EquationsXSeries Program Page to learn more and to enroll in the modules.

*Zipline photo by teanitiki on Flickr (CC BY-SA 2.0)

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De un vistazo

  • Institución: MITx
  • Tema: Matemáticas
  • Nivel: Intermediate
  • Prerrequisitos:

    18.031x Introduction to Differential Equations (Scalar equations), 18.032x Differential Equations: 2x2 Systems (2x2 first order differential equations)

  • Idioma: English
  • Transcripción de video: English
  • Programas asociados:
  • Associated skills:Sales, MATLAB, Differential Equations, Electronic Oscillator, Chemical Reactions, Linear Algebra, Systems Of Equations

Lo que aprenderás

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After this course, you will be able to

  • Model and solve different real world phenomena with systems of differential equations.
  • Find the dimension and a basis for a (finite dimensional) vector space.
  • Formulate and solve eigenvalue and eigenvector problems.
  • Use MATLAB to explore solutions to large systems of equations.

Plan de estudios

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Unit 1: Linear Algebra

  1. Solving linear systems: elimination and RREF
  2. Nullspace, vector space
  3. Column space, determinants, and inverses
  4. eigenvalues, eigenvectors, and diagonalization

Unit 2: Systems of Differential Equations

  1. Solving homogeneous NxN systems of differential equations
  2. Matrix exponential and diagonalization
  3. Decoupling and solving inhomogeneous systems of equations
  4. Solving nonlinear systems with MATLAB

Acerca de los instructores

Preguntas frecuentes

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What are the prerequisites for this course?

We assume familiarity with both 18.031x Introduction to Differential Equations and 18.032x Differential Equations: 2x2 systems. Knowledge from 18.03Lx is not required to succeed in this course.

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

This course is part of18.03x Differential Equations XSeries Program

Más información 
Instrucción por expertos
5 cursos de alta calidad
1 año 2 meses
4 - 7 horas semanales

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