Matrix A: Find Transitional and Diagonal Matrices for A = CDC^-1

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In summary, the conversation is about finding the transitional matrix C and diagonal matrix D for matrix A in order to solve for A = CDC^-1. The person is asking for help with factoring a polynomial of degree 3 or 4 in order to solve for the eigenvalues, as they are not allowed to use calculators or programs on their exam. They suggest using polynomial long division and checking for linear factors of -2.
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Homework Statement



Let Matrix A =

[2, 1, 0, 2]
[-1, 0, -1, 0]
[2, 1, 0, 1]
[1, 0, -1, 1]

Find it's transitional matrix C and diagonal matrix D such that A = CDC^-1.

Homework Equations


The Attempt at a Solution



I find the determinant of A-tI and set it equal to 0 to get the characteristic polynomial: t^4 - 3x^3 + 3x^2 - 2. How can I quickly factor polynomials of degree 3 or 4 like this to solve for the eigenvalues? We are not allowed to use calculators or programs on our exam, and we are limited on time. The rest of the process I understand. Thanks in advance for the help.
 
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If (t - a) is a linear factor of your polynomial, a has to be a divisor of -2. Using polynomial long division check (t - 1), (t + 1), (t - 2), and (t + 2). If one of these works, you'll be left with a third degree polynomial, which you can run the same process on. If you can get another linear factor, you'll have two linear factors and a quadratic, which you can factor by a number of techniques.
 

What is the process of diagonalizing a matrix?

Diagonalizing a matrix is the process of finding a similar matrix that is diagonal. This means that all of the entries off the main diagonal are equal to zero.

Why is diagonalizing a matrix important?

Diagonalizing a matrix can make it easier to perform calculations and solve problems involving the matrix. It also allows for the identification of important features of the matrix, such as eigenvalues and eigenvectors.

What are the steps involved in diagonalizing a matrix?

The first step is to find the eigenvalues of the matrix. Next, the corresponding eigenvectors must be found. Then, these eigenvectors are used to form a transformation matrix. Finally, the original matrix is multiplied by the transformation matrix to obtain the diagonalized matrix.

Can all matrices be diagonalized?

No, not all matrices can be diagonalized. A matrix can only be diagonalized if it has a complete set of linearly independent eigenvectors, which is not always the case.

How is diagonalizing a matrix related to eigenvalues and eigenvectors?

Diagonalizing a matrix involves finding the eigenvalues and eigenvectors of the matrix. The eigenvalues become the entries on the main diagonal of the diagonalized matrix, while the corresponding eigenvectors form the transformation matrix.

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