Markov Matrices, Steady State, Fourier Series, and Projections

Markov Matrices, Steady State, Fourier Series, and Projections
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Taught by OCW
Gilbert Strang, 18.06 Linear Algebra, Spring 2005. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed November 23, 2008). License: Creative Commons BY-NC-SA.
More info at: http://ocw.mit.edu/terms
Markov Matrices, Steady State, Fourier Series, and Projections -- Lecture 24a. A lesson all about applications of Eigenvalues and Eigenvectors.
  • What are some applications of Eigenvalues?
  • What is a Markov matrix?
  • How do you use a Markov matrix?
  • What are Fourier series?
In this video, we get to see some applications of Eigenvectors and Eigenvalues. They really contribute to some very interesting topics. Markov matrices and Fourier series are really useful in other disciplines that use probability and randomness. Also, they are used in random walk analysis.
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Reviewed by MathVids Staff on November 23, 2008.
 
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