Solve Circulant Matrix Homework Equations

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SUMMARY

The discussion centers on solving circulant matrix equations, specifically focusing on eigenvalues and eigenvectors. The user identifies the eigenvalue as (x1 + x2ζ + x3ζ^2 + x4ζ^3), where ζ^4 = 1, and explores the relationship between the eigenvector and the eigenvalue. The user also calculates the eigenvalues of a specific matrix, determining them to be 0, 2, 1-i, and 1+i, which indicates the presence of four linearly independent eigenvectors. This foundational understanding is crucial for further analysis of circulant matrices.

PREREQUISITES
  • Understanding of circulant matrices
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of complex numbers and their properties
  • Proficiency in linear algebra concepts
NEXT STEPS
  • Study the properties of circulant matrices in detail
  • Learn how to compute eigenvalues and eigenvectors for various matrix types
  • Explore the application of eigenvalues in solving differential equations
  • Investigate the significance of linear independence in vector spaces
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Students and professionals in mathematics, particularly those studying linear algebra, eigenvalue problems, and circulant matrices. This discussion is beneficial for anyone looking to deepen their understanding of matrix theory and its applications.

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Homework Statement



http://i.imgur.com/ivZSA.png

Homework Equations


The Attempt at a Solution



This is my attempt http://i.imgur.com/ycuER.png

However I think I am doing something very wrong. My thought process is that to prove it is eigenvector is to apply X to the proposed eigenvector and see if I get a scalar multiple of itself. If so then by definition it's an eigenvector and that scalar would be the eigenvalue.

Edit: I now realize that the eigenvalue is (x1 + x2ζ + x3ζ^2 + x4ζ^3). Would it suffice for the proof to to multiply the eigenvector by the eigenvalue and show that equals X(eigenvector) where ζ^4 = 1?
 
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thought process sounds good, have a go
 
ok, saw 2nd picture, now try taking a factors outside each component in the eigenvector, to show the length in each direction is proptional by the same factor (eigenvalue) to the original vector.
1 \ \xi \ \xi^2 \ and \ \xi^3
 
you probably want to use some of the properties of \xi as well, eg. \xi = e^{\frac{i n \pi}{2}}
 
Thanks I figured that part out. I have another question regarding part 2.

http://i.imgur.com/DnLXH.png

So I worked out the eigenvalues of that matrix to be 0,2,1-i,1+i. Since these are all unique eigenvalues there will be 4 linearly independent eigenvectors. But I'm not sure how to generalize that result to apply it to part 1.
 
can;t see the pic, here's latex code for matrix, looks messy but is quite easy whe you get into it
<br /> \begin{pmatrix}<br /> x_1 &amp; x_2 &amp; x_3 &amp; x_4 \\<br /> x_4 &amp; x_1 &amp; x_2 &amp; x_3 \\<br /> x_3 &amp; x_4 &amp; x_1 &amp; x_2 \\<br /> x_ 2&amp; x_3 &amp; x_4 &amp; x_1 \\<br /> \end{pmatrix}<br />
 

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