Linear Algebra - Diagonalizable and Eigenvalue Proof

In summary, if a diagonalizable n by n matrix A has an eigenvalue lambda with multiplicity n, then A is equal to lambda times the identity matrix. This can be shown by using the fact that A is diagonalizable and rewriting the given assumption in terms of the diagonal matrix D.
  • #1
B_Phoenix
1
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
  • #2
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].
 

What is diagonalization in linear algebra?

Diagonalization is a process in linear algebra where a square matrix is transformed into a diagonal matrix by finding a new basis for the vector space.

How do you check if a matrix is diagonalizable?

A matrix is diagonalizable if it has n distinct eigenvalues (where n is the number of rows/columns) and the corresponding eigenvectors form a basis for the vector space.

What is the significance of eigenvalues and eigenvectors in diagonalization?

Eigenvalues and eigenvectors are important in diagonalization as they allow us to find a new basis for the vector space where the matrix is represented by a diagonal matrix. This can make calculations and solving systems of equations much simpler.

Can a non-square matrix be diagonalizable?

No, a non-square matrix cannot be diagonalizable as diagonalization is only applicable to square matrices.

Is diagonalization the only way to solve systems of linear equations?

No, diagonalization is not the only way to solve systems of linear equations. Other methods such as Gaussian elimination and Cramer's rule can also be used.

Similar threads

  • Calculus and Beyond Homework Help
Replies
24
Views
793
  • Calculus and Beyond Homework Help
Replies
2
Views
521
  • Calculus and Beyond Homework Help
Replies
5
Views
522
  • Calculus and Beyond Homework Help
Replies
10
Views
2K
  • Math Proof Training and Practice
Replies
2
Views
2K
  • Calculus and Beyond Homework Help
Replies
2
Views
384
  • Calculus and Beyond Homework Help
Replies
2
Views
333
  • Calculus and Beyond Homework Help
Replies
8
Views
1K
  • Calculus and Beyond Homework Help
Replies
12
Views
977
  • Calculus and Beyond Homework Help
Replies
8
Views
618
Back
Top