Math Problem Statement

Diagonalize A = [[6, -2], [-2, 3], [2, -1], [2, 3]] and find A^4. A = 2, 2, 8 with eigenvectors [[2, -1, 1], [0, -1, -1]].

Solution

The problem shown involves diagonalizing the matrix AA and then finding the matrix A4A^4. The matrix AA is given as:

A=[6223]A = \begin{bmatrix} 6 & -2 \\ 2 & 3 \end{bmatrix}

Step 1: Finding the Eigenvalues of A We start by finding the eigenvalues, λ\lambda, which satisfy the characteristic equation det(AλI)=0\det(A - \lambda I) = 0.

AλI=[6λ223λ]A - \lambda I = \begin{bmatrix} 6 - \lambda & -2 \\ 2 & 3 - \lambda \end{bmatrix} Determinant=(6λ)(3λ)(2)(2)=λ29λ+22\text{Determinant} = (6-\lambda)(3-\lambda) - (-2)(2) = \lambda^2 - 9\lambda + 22

Solving λ29λ+22=0\lambda^2 - 9\lambda + 22 = 0 will give us the eigenvalues.

Step 2: Finding the Eigenvectors of A For each eigenvalue λ\lambda, solve (AλI)v=0(A - \lambda I)\vec{v} = 0 for the eigenvector v\vec{v}.

Step 3: Diagonalizing A Form the matrix PP from the eigenvectors of AA and the diagonal matrix DD from the eigenvalues.

Step 4: Calculating A4A^4 A4=PDP1PDP1PDP1PDP1=PD4P1A^4 = PDP^{-1}PDP^{-1}PDP^{-1}PDP^{-1} = PD^4P^{-1} Here, D4D^4 is simply the diagonal matrix with each eigenvalue raised to the fourth power.

Let's proceed with these calculations now, starting with the eigenvalues.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Matrix Diagonalization
Eigenvalues and Eigenvectors

Formulas

Det(A - λI) = 0 to find eigenvalues
A = PDP^(-1) for diagonalization
A^n = PD^nP^(-1) for powers of A

Theorems

Eigenvalue Theorem
Matrix Diagonalization

Suitable Grade Level

Grades 11-12, College level