Linear Algebra Unique Factorization

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SUMMARY

The discussion centers on the unique factorization of a diagonalizable matrix A, expressed as A = PDP-1, where D is a diagonal matrix of eigenvalues. It is established that this factorization is not unique due to the potential reordering of eigenvalues within D, which can occur based on the arrangement of eigenvectors in matrix P. Additionally, the alternative representation A = P-1CP, where C is a non-diagonalized matrix, further illustrates the non-uniqueness of the factorization.

PREREQUISITES
  • Understanding of diagonalizable matrices
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of matrix factorization techniques
  • Basic concepts of linear algebra
NEXT STEPS
  • Study the properties of diagonal matrices in linear algebra
  • Explore the implications of eigenvalue reordering on matrix factorization
  • Learn about the Jordan form and its relation to diagonalization
  • Investigate the concept of similarity transformations in matrices
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Students of linear algebra, mathematicians, and educators seeking a deeper understanding of matrix factorization and its implications in theoretical and applied mathematics.

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Homework Statement


Assume that the matrix A is diagonalizable : A=PDP-1, where D is the diagonal matrix of eigenvalues. Show that this factorization is not always unique


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The Attempt at a Solution


I have a couple of theories. The first being that since the matrix D can be reordered in any way as long as the eigenvalues are on the diagonal.
The second is that A=P-1CP when C is the non diagonalized matrix.
 
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I like your first theory. The order of the eigenvalues on the main diagonal of D depends on the order of placement of eigenvectors in P.
 

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