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Consider the following matrix.A = 23 12 −36 −19Find the eigenvalues and associated eigenvectors of A. (Arrange the eigenvalues so that 𝜆1 < 𝜆2.)

Question

Consider the following matrix.

A = [2312−36−19] \begin{bmatrix} 23 & 12 \\ -36 & -19 \end{bmatrix}

Find the eigenvalues and associated eigenvectors of A. (Arrange the eigenvalues so that 𝜆1 < 𝜆2.)

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Solution

1. Break Down the Problem

To find the eigenvalues and associated eigenvectors of the matrix A A , we will:

  1. Calculate the characteristic polynomial by finding the determinant of A−λI A - \lambda I .
  2. Solve for the eigenvalues λ \lambda .
  3. For each eigenvalue, solve for the corresponding eigenvector.

2. Relevant Concepts

  • The characteristic polynomial of a matrix A A is given by det⁡(A−λI)=0 \det(A - \lambda I) = 0 .
  • Eigenvalues are the solutions λ \lambda to this determinant equation.
  • Eigenvectors v v corresponding to each eigenvalue can be obtained by solving (A−λI)v=0 (A - \lambda I)v = 0 .

3. Analysis and Detail

Given the matrix: A=(2312−36−19) A = \begin{pmatrix} 23 & 12 \\ -36 & -19 \end{pmatrix}

Step 3.1: Find the Characteristic Polynomial

We first find A−λI A - \lambda I : A−λI=(23−λ12−36−19−λ) A - \lambda I = \begin{pmatrix} 23 - \lambda & 12 \\ -36 & -19 - \lambda \end{pmatrix}

Now, calculate the determinant: det⁡(A−λI)=(23−λ)(−19−λ)−(12)(−36) \det(A - \lambda I) = (23 - \lambda)(-19 - \lambda) - (12)(-36)

Calculating this gives: =(λ−23)(λ+19)+432 = (\lambda - 23)(\lambda + 19) + 432 =λ2−4λ−437 = \lambda^2 - 4\lambda - 437

Step 3.2: Solve for Eigenvalues λ\lambda

Set the characteristic polynomial to zero: λ2−4λ−437=0 \lambda^2 - 4\lambda - 437 = 0

Using the quadratic formula: λ=−b±b2−4ac2a \lambda = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} where a=1,b=−4,c=−437 a = 1, b = -4, c = -437 : λ=4±(−4)2−4⋅1⋅(−437)2⋅1 \lambda = \frac{4 \pm \sqrt{(-4)^2 - 4 \cdot 1 \cdot (-437)}}{2 \cdot 1} =4±16+17482 = \frac{4 \pm \sqrt{16 + 1748}}{2} =4±17642 = \frac{4 \pm \sqrt{1764}}{2} =4±422 = \frac{4 \pm 42}{2} Thus, we have two eigenvalues: λ1=462=23,λ2=−382=−19 \lambda_1 = \frac{46}{2} = 23, \quad \lambda_2 = \frac{-38}{2} = -19

Step 3.3: Find Eigenvectors

For λ1=23 \lambda_1 = 23 : (A−23I)v=0  ⟹  (012−36−42)(x1x2)=(00) (A - 23I)v = 0 \implies \begin{pmatrix} 0 & 12 \\ -36 & -42 \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \end{pmatrix} From the first row, we get: 12x2=0  ⟹  x2=0 12x_2 = 0 \implies x_2 = 0 We can take x1=1 x_1 = 1 as a free variable. So, an eigenvector corresponding to λ1 \lambda_1 is: v1=(10) v_1 = \begin{pmatrix} 1 \\ 0 \end{pmatrix}

For λ2=−19 \lambda_2 = -19 : (A+19I)v=0  ⟹  (4212−360)(x1x2)=(00) (A + 19I)v = 0 \implies \begin{pmatrix} 42 & 12 \\ -36 & 0 \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \end{pmatrix} From the first row, we can express: 42x1+12x2=0  ⟹  x2=−4212x1=−72x1 42x_1 + 12x_2 = 0 \implies x_2 = -\frac{42}{12}x_1 = -\frac{7}{2}x_1 Let x1=2 x_1 = 2 : v2=(2−7) v_2 = \begin{pmatrix} 2 \\ -7 \end{pmatrix}

4. Verify and Summarize

We found and confirmed the eigenvalues:

  • λ1=−19 \lambda_1 = -19
  • λ2=23 \lambda_2 = 23

And their corresponding eigenvectors:

  • v1=(10) v_1 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} for λ1 \lambda_1
  • v2=(2−7) v_2 = \begin{pmatrix} 2 \\ -7 \end{pmatrix} for λ2 \lambda_2

Final Answer

Eigenvalues: λ1=−19,λ2=23 \lambda_1 = -19, \quad \lambda_2 = 23

Eigenvectors: v1=(10),v2=(2−7) v_1 = \begin{pmatrix} 1 \\ 0 \end{pmatrix}, \quad v_2 = \begin{pmatrix} 2 \\ -7 \end{pmatrix}

This problem has been solved

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