Eigen Decomposition

Jonathon D. Brown
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Jonathon D. Brown: University of Washington, Department of Psychology

Chapter Chapter 4 in Advanced Statistics for the Behavioral Sciences, 2018, pp 117-148 from Springer

Abstract: Abstract In Chap. 2 , we learned how to decompose a rectangular matrix into an orthonormal basis Q and an upper triangular matrix R, and in Chap. 3 we applied the decomposition to a linear regression model. In this chapter you will learn a related decomposition that can create an orthonormal basis from a square, symmetric matrix. The decomposition is known as the eigen decomposition, and it has applications across a range of problems in math, science, and engineering.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-93549-2_4

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DOI: 10.1007/978-3-319-93549-2_4

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