7.10. Let T: R³ → R2 be a linear transformation, and let 1 2 1-1 = 3 u=2 W= and x = 2 Given that T(u) = = 2.769 = -1 and 7(w) = [3]. compute T(x).

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ISBN:9780470458365
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Chapter2: Second-order Linear Odes
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I would appreciate your help in solving this problem using matrix notation alone. I am encountering challenges in finding a solution without relying on any other methods. Could you kindly provide a detailed, step-by-step explanation using only matrix notation to guide me to the final solution?

Furthermore, I have attached the question and answer for your reference. Can you demonstrate the matrix-based approach that leads to the solution?

Has to be the matrices way

### Linear Transformation Problem

#### Problem Statement

Let \( T : \mathbb{R}^3 \to \mathbb{R}^2 \) be a linear transformation, and consider the following vectors:

\[ 
\mathbf{u} = \begin{bmatrix}
1 \\
2 \\
3 
\end{bmatrix}, 
\mathbf{v} = \begin{bmatrix}
2 \\
3 \\
1 
\end{bmatrix}, 
\mathbf{w} = \begin{bmatrix}
1 \\
1 \\
1 
\end{bmatrix}, 
\text{ and } 
\mathbf{x} = \begin{bmatrix}
1 \\
2 \\
9 
\end{bmatrix}.
\]

Given that:

\[ 
T(\mathbf{u}) = \begin{bmatrix}
1 \\
2
\end{bmatrix}, 
T(\mathbf{v}) = \begin{bmatrix}
2 \\
-1
\end{bmatrix}, 
\text{ and }
T(\mathbf{w}) = \begin{bmatrix}
2 \\
3 
\end{bmatrix},
\]

compute \( T(\mathbf{x}) \).

### Explanation of Terms
- **Linear Transformation:** A function between two vector spaces that preserves the operations of vector addition and scalar multiplication.
- **Vectors:** Arrays of numbers that represent points or directions in space.

### Detailed Explanation:

You are provided with three known vectors in \(\mathbb{R}^3\) space and their corresponding transformations in \(\mathbb{R}^2\). You need to use this information to compute the transformation of the new vector \(\mathbf{x}\).

### Step-by-Step Solution:

1. **Expressing the new vector as a linear combination:**
   Given vectors:
   \[
   \mathbf{u} = \begin{bmatrix}
   1 \\
   2 \\
   3 
   \end{bmatrix}, 
   \mathbf{v} = \begin{bmatrix}
   2 \\
   3 \\
   1 
   \end{bmatrix}, 
   \mathbf{w} = \begin{bmatrix}
   1 \\
   1 \\
   1 
   \end{bmatrix}
   \]
   and transformation results:
   \[
Transcribed Image Text:### Linear Transformation Problem #### Problem Statement Let \( T : \mathbb{R}^3 \to \mathbb{R}^2 \) be a linear transformation, and consider the following vectors: \[ \mathbf{u} = \begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix}, \mathbf{v} = \begin{bmatrix} 2 \\ 3 \\ 1 \end{bmatrix}, \mathbf{w} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix}, \text{ and } \mathbf{x} = \begin{bmatrix} 1 \\ 2 \\ 9 \end{bmatrix}. \] Given that: \[ T(\mathbf{u}) = \begin{bmatrix} 1 \\ 2 \end{bmatrix}, T(\mathbf{v}) = \begin{bmatrix} 2 \\ -1 \end{bmatrix}, \text{ and } T(\mathbf{w}) = \begin{bmatrix} 2 \\ 3 \end{bmatrix}, \] compute \( T(\mathbf{x}) \). ### Explanation of Terms - **Linear Transformation:** A function between two vector spaces that preserves the operations of vector addition and scalar multiplication. - **Vectors:** Arrays of numbers that represent points or directions in space. ### Detailed Explanation: You are provided with three known vectors in \(\mathbb{R}^3\) space and their corresponding transformations in \(\mathbb{R}^2\). You need to use this information to compute the transformation of the new vector \(\mathbf{x}\). ### Step-by-Step Solution: 1. **Expressing the new vector as a linear combination:** Given vectors: \[ \mathbf{u} = \begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix}, \mathbf{v} = \begin{bmatrix} 2 \\ 3 \\ 1 \end{bmatrix}, \mathbf{w} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix} \] and transformation results: \[
## Problem 7.10

**Task:** Write **x** as a linear combination of **u**, **v**, **w**. Given that \( T(\mathbf{x}) = \begin{bmatrix} 3 \\ 14 \end{bmatrix} \).

### Explanation

This problem involves expressing the vector **x** as a linear combination of the vectors **u**, **v**, and **w**. The transformation \( T \) applied to **x** results in a column vector \( \begin{bmatrix} 3 \\ 14 \end{bmatrix} \).

### Steps to solve:

1. **Understanding Linear Combination:**
    - If **x** is written as a linear combination of **u**, **v**, and **w**, it means there exist scalars \( a \), \( b \), and \( c \) such that:
      \[
      \mathbf{x} = a\mathbf{u} + b\mathbf{v} + c\mathbf{w}
      \]

2. **Applying the transformation \( T \):**
    - The linear transformation \( T \) applied to **x** should equal the given vector:
      \[
      T(\mathbf{x}) = \begin{bmatrix} 3 \\ 14 \end{bmatrix}
      \]

3. **Setting up the equations:**
    - Substitute the linear combination into the transformation equation:
      \[
      T(a\mathbf{u} + b\mathbf{v} + c\mathbf{w}) = \begin{bmatrix} 3 \\ 14 \end{bmatrix}
      \]
      
4. **Solving for scalars \( a \), \( b \), and \( c \):**
    - This typically involves setting up a system of linear equations to find the values of \( a \), \( b \), and \( c \) that satisfy the equation.
    
### Diagrams:

Since the problem does not provide explicit vectors **u**, **v**, and **w**, the detailed solution would require those vectors. However, the general method would involve forming a matrix from **u**, **v**, and **w**, then solving the resulting system of equations.

### Example (Hypothetical Vectors):

If hypothetically, **u**, **v**, and **w** were given, the system of equations would be formed as follows:

Given \( \mathbf{u
Transcribed Image Text:## Problem 7.10 **Task:** Write **x** as a linear combination of **u**, **v**, **w**. Given that \( T(\mathbf{x}) = \begin{bmatrix} 3 \\ 14 \end{bmatrix} \). ### Explanation This problem involves expressing the vector **x** as a linear combination of the vectors **u**, **v**, and **w**. The transformation \( T \) applied to **x** results in a column vector \( \begin{bmatrix} 3 \\ 14 \end{bmatrix} \). ### Steps to solve: 1. **Understanding Linear Combination:** - If **x** is written as a linear combination of **u**, **v**, and **w**, it means there exist scalars \( a \), \( b \), and \( c \) such that: \[ \mathbf{x} = a\mathbf{u} + b\mathbf{v} + c\mathbf{w} \] 2. **Applying the transformation \( T \):** - The linear transformation \( T \) applied to **x** should equal the given vector: \[ T(\mathbf{x}) = \begin{bmatrix} 3 \\ 14 \end{bmatrix} \] 3. **Setting up the equations:** - Substitute the linear combination into the transformation equation: \[ T(a\mathbf{u} + b\mathbf{v} + c\mathbf{w}) = \begin{bmatrix} 3 \\ 14 \end{bmatrix} \] 4. **Solving for scalars \( a \), \( b \), and \( c \):** - This typically involves setting up a system of linear equations to find the values of \( a \), \( b \), and \( c \) that satisfy the equation. ### Diagrams: Since the problem does not provide explicit vectors **u**, **v**, and **w**, the detailed solution would require those vectors. However, the general method would involve forming a matrix from **u**, **v**, and **w**, then solving the resulting system of equations. ### Example (Hypothetical Vectors): If hypothetically, **u**, **v**, and **w** were given, the system of equations would be formed as follows: Given \( \mathbf{u
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