Linear Algebra - Diagonalizable and Eigenvalue Proof

Click For Summary
SUMMARY

The discussion focuses on proving that if a diagonalizable n by n matrix A has an eigenvalue λ with algebraic multiplicity n, then A can be expressed as A = λI, where I is the identity matrix. The proof utilizes the property of diagonalizability, allowing the representation of A as A = S D S-1, with D being a diagonal matrix containing the eigenvalues. The conclusion is reached by translating the multiplicity condition into a statement about the diagonal matrix D.

PREREQUISITES
  • Understanding of diagonalizable matrices
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of matrix representation and similarity transformations
  • Basic concepts of linear algebra, particularly matrix operations
NEXT STEPS
  • Study the properties of diagonalizable matrices in linear algebra
  • Learn about eigenvalue multiplicity and its implications
  • Explore similarity transformations and their applications
  • Investigate the spectral theorem for real symmetric matrices
USEFUL FOR

This discussion is beneficial for students and educators in linear algebra, mathematicians focusing on matrix theory, and anyone seeking to deepen their understanding of eigenvalues and diagonalization in matrices.

B_Phoenix
Messages
1
Reaction score
0

Homework Statement



"Let A be a diagonalizable n by n matrix. Show that if the multiplicity of an eigenvalue lambda is n, then A = lambda i"

Homework Equations





The Attempt at a Solution



I had no idea where to start.
 
Physics news on Phys.org
Since [tex]A[/tex] is diagonalizable, we can choose some invertible matrix [tex]S[/tex] such that [tex]A = S D S^{-1}[/tex], where [tex]D[/tex] is diagonal and the diagonal entries of [tex]D[/tex] are the eigenvalues of [tex]A[/tex]. We can translate the assumption regarding the multiplicity of [tex]\lambda[/tex] into a statement about [tex]D[/tex], after which the result follows by using [tex]A = S D S^{-1}[/tex].
 

Similar threads

  • · Replies 24 ·
Replies
24
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
5
Views
2K
Replies
10
Views
3K
  • · Replies 2 ·
Replies
2
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K