3. Let T: R³ R³ be the operator given by 00 8 1 0 T(v) = -12 6 υ. Determine whether T is decomposable or indecomposable.

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Chapter2: Second-order Linear Odes
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### Matrix Operator Application and Properties

**3. Given Operator:** 

Let \( T: \mathbb{R}^3 \to \mathbb{R}^3 \) be the operator defined by the matrix:

\[ T(v) = \begin{pmatrix}
0 & 0 & 8 \\
1 & 0 & -12 \\
0 & 1 & 6 
\end{pmatrix} v \]

**Task:**
Determine whether \( T \) is decomposable or indecomposable.

---

**4. Cyclic Operator Assumption:**

Assume \( S \) is a cyclic operator on the finite-dimensional vector space \( U \).

---

### Detailed Explanation:

The provided text outlines a mathematical problem related to matrix operators in the field of linear algebra. Specifically, the task is to determine the structural property of the operator \( T \) given by a \( 3 \times 3 \) matrix.

#### Matrix Representation:
The operator \( T \) is represented by the following matrix:
\[ \begin{pmatrix}
0 & 0 & 8 \\
1 & 0 & -12 \\
0 & 1 & 6 
\end{pmatrix} \]

This matrix transforms a vector \( v \in \mathbb{R}^3 \) by matrix multiplication.

#### Concept of Decomposability:
In linear algebra, an operator (or matrix) is **decomposable** if it can be written as a direct sum of two non-trivial subspaces. Otherwise, it is **indecomposable**.

---

Next:
- Analyze the matrix for properties such as eigenvalues, eigenvectors, and invariant subspaces.
- Use these properties to determine if the operator \( T \) can be decomposed into simpler parts.

For further understanding, consider concepts like Jordan canonical forms, cyclic subspaces, and the theory of linear transformations.

---

Visit our [Linear Algebra Section](#) for more detailed explanations and examples on matrix operators, their properties, and applications.
Transcribed Image Text:### Matrix Operator Application and Properties **3. Given Operator:** Let \( T: \mathbb{R}^3 \to \mathbb{R}^3 \) be the operator defined by the matrix: \[ T(v) = \begin{pmatrix} 0 & 0 & 8 \\ 1 & 0 & -12 \\ 0 & 1 & 6 \end{pmatrix} v \] **Task:** Determine whether \( T \) is decomposable or indecomposable. --- **4. Cyclic Operator Assumption:** Assume \( S \) is a cyclic operator on the finite-dimensional vector space \( U \). --- ### Detailed Explanation: The provided text outlines a mathematical problem related to matrix operators in the field of linear algebra. Specifically, the task is to determine the structural property of the operator \( T \) given by a \( 3 \times 3 \) matrix. #### Matrix Representation: The operator \( T \) is represented by the following matrix: \[ \begin{pmatrix} 0 & 0 & 8 \\ 1 & 0 & -12 \\ 0 & 1 & 6 \end{pmatrix} \] This matrix transforms a vector \( v \in \mathbb{R}^3 \) by matrix multiplication. #### Concept of Decomposability: In linear algebra, an operator (or matrix) is **decomposable** if it can be written as a direct sum of two non-trivial subspaces. Otherwise, it is **indecomposable**. --- Next: - Analyze the matrix for properties such as eigenvalues, eigenvectors, and invariant subspaces. - Use these properties to determine if the operator \( T \) can be decomposed into simpler parts. For further understanding, consider concepts like Jordan canonical forms, cyclic subspaces, and the theory of linear transformations. --- Visit our [Linear Algebra Section](#) for more detailed explanations and examples on matrix operators, their properties, and applications.
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