Consider the following. 0 2 A = 3 -1 3 .- 2 0 1 (a) Compute the characteristic polynomial of A. (b) Compute the eigenvalues and bases of the corresponding eigenspaces of A. (c) Compute the algebraic...


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Consider the following.<br>0 2<br>A = 3 -1 3<br>.-<br>2 0 1<br>(a) Compute the characteristic polynomial of A.<br>(b) Compute the eigenvalues and bases of the corresponding eigenspaces of A.<br>(c) Compute the algebraic and geometric multiplicity of each eigenvalue.<br>

Extracted text: Consider the following. 0 2 A = 3 -1 3 .- 2 0 1 (a) Compute the characteristic polynomial of A. (b) Compute the eigenvalues and bases of the corresponding eigenspaces of A. (c) Compute the algebraic and geometric multiplicity of each eigenvalue.
Next, we want to find the eigenspaces corresponding to each eigenvalue. Recall that for the eigenvalue 1, the<br>eigenspace is the null space of A - A1. Since the null space is defined as the solutions to (A – A1)x = 0, we<br>create an augmented matrix with 0 constants and solve.<br>First, let 1 = -1 to find the corresponding eigenspace. Simplify the matrix A - (-1)1.<br>A - (-1)I = A + I<br>1 0 0<br>0 1 0<br>0 0 1<br>1<br>2<br>3<br>-1<br>3.<br>=<br>2<br>1<br>2 0<br>3 0<br>3<br>2 0<br>Next, write the augmented matrix and use row operations to reduce.<br>2 0<br>0 2<br>2.<br>3 0<br>3<br>R2<br>R1→ R2<br>2 0<br>2<br>2.<br>0 2<br>R3 - R1 + R3<br>

Extracted text: Next, we want to find the eigenspaces corresponding to each eigenvalue. Recall that for the eigenvalue 1, the eigenspace is the null space of A - A1. Since the null space is defined as the solutions to (A – A1)x = 0, we create an augmented matrix with 0 constants and solve. First, let 1 = -1 to find the corresponding eigenspace. Simplify the matrix A - (-1)1. A - (-1)I = A + I 1 0 0 0 1 0 0 0 1 1 2 3 -1 3. = 2 1 2 0 3 0 3 2 0 Next, write the augmented matrix and use row operations to reduce. 2 0 0 2 2. 3 0 3 R2 R1→ R2 2 0 2 2. 0 2 R3 - R1 + R3

Jun 04, 2022
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