Orthogonal Diagonalization of a Symmetric Matrix

In summary, the conversation is about diagonalizing a symmetric matrix with eigenvalues of 2, 2, 2 and finding the corresponding eigenvectors. The process involves solving for the determinant and using the rational root theorem to find possible rational roots.
  • #1
aznkid310
109
1

Homework Statement



Orthogonally diagonalize the matrix:
| 2 1 1|
| 1 2 1|
| 1 1 2|


Homework Equations



Since this only has three of the same eigenvalues ( lambda = 2), how do i use
A = PD(P^t)? What is P?

After row reduction, I got x = y = z = 1. This would give me the first column of P, but what about the other two columns?


The Attempt at a Solution



This is a symmetric matrix and the eigen values are lambda = 2,2,2

solving (2I - A)x = 0 i get | 0 1 1 |
| 1 0 1 |
| 1 1 0 |

After row reduction: | 1 0 0 |
| 0 1 0 |
| 0 0 1 |

Which means x = y = z = 1?
 
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  • #2
To start out with, the eigenvalues aren't 2,2,2. Try that again. What are they? Next you have to find the eigenvectors.
 
  • #3
| (lambda - 2) 1 1 |
| 1 (2-lambda) 1 |
| 1 (2-lambda) 1 |

Taking the determinant, i get: -L^3 + 6L^2 - 9L + 4

How do i solve this?
 
  • #4
Well, you don't "solve" a polynomial, you solve an equation. What you mean, of course is solve [itex]-\lambda^3 + 6\lambda^2 - 9\lambda + 4= 0[/itex]

By the "rational root theorem", the only rational roots, if it has any, must be [itex]\pm 1[/itex], [itex]\pm 2[/itex], [itex]\pm 4[/itex], the integer factors of 4. Try those. It is always a good idea to try the simple things first!
 

FAQ: Orthogonal Diagonalization of a Symmetric Matrix

What is orthogonal diagonalization?

Orthogonal diagonalization is a process in linear algebra where a square matrix is transformed into a diagonal matrix using an orthogonal matrix.

What is the importance of orthogonal diagonalization?

Orthogonal diagonalization is important because it allows for simplification and easier computation of certain operations on matrices, such as finding powers, inverses, and determinants.

How is orthogonal diagonalization different from regular diagonalization?

Orthogonal diagonalization requires the use of an orthogonal matrix, whereas regular diagonalization simply uses an invertible matrix. Additionally, orthogonal diagonalization produces a diagonal matrix with all real entries, while regular diagonalization may result in complex entries.

What are the conditions for a matrix to be orthogonal diagonalizable?

A matrix must be square and have n distinct eigenvalues in order to be orthogonal diagonalizable.

Can all square matrices be orthogonally diagonalized?

No, not all square matrices can be orthogonally diagonalized. A matrix must satisfy certain conditions, such as having n distinct eigenvalues, in order to be orthogonally diagonalizable.

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