4. Suppose that V = Cº[0, 1], and let (f(x), g(x)) = f(x) g(x) dx. You may use a calculator to integrate. Show what you put into the calculator as well as the results. a. Find (x, 2x³). b. Find ||3x|| c. Determine if f(x) = cos (x) and g(x) = sin(x) is orthogonal. Explain your reasoning.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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SOlve #4, Show all of your steps and all of your work please. Post your work on pictures please!

### Linear Algebra Problem Set

#### 3. Linear Transformation Analysis

Suppose that \( T \) is a linear transformation with the matrix of the transformation:
\[ A = \begin{bmatrix} 1 & -2 & 5 \\ 2 & 3 & -4 \\ 1 & -5 & 11 \\ 0 & -2 & 4 \end{bmatrix} \]

- **a. Transformation Dimensions**  
  What are \( n \) and \( m \)?

- **b. Kernel of \( T \)**  
  Find \( \text{Ker} (T) \).

- **c. Range of \( T \)**  
  Find \( \text{Rng}(T) \).

- **d. One-to-One Property**  
  Determine if \( T \) is one-to-one.

- **e. Onto Property**  
  Determine if \( T \) is onto.

#### 4. Function Space Analysis

Suppose that \( V = C^0 [0, 1] \), and let \( (f(x), g(x)) = \int_0^1 f(x)g(x) \, dx \).

- **a. Polynomial Functions**
  - Find \( \langle x, 2x^3 \rangle \).

- **b. Norm Evaluation**
  - Find \( ||3x|| \).

- **c. Orthogonality Check**
  - Determine if \( f(x) = \cos(\pi x) \) and \( g(x) = \sin(\pi x) \) are orthogonal. Explain your reasoning.

#### 5. Geometry and Distance Calculation

Use projections to find the distance from the point \((0, -1, 3)\) to the plane \(2x - 3y + z = 4\). Show your work. Write your answer as an exact answer and not as a decimal. You may use a calculator.

#### 6. General Rank Nullity Theorem

General Rank Nullity states:  
If \( T: V \rightarrow W \) is a linear transformation and \( V \) is finite-dimensional, then:
\[ \text{dim}[\text{Ker}(T)] + \text{dim}[\text{Rng}(T)] = \text{dim}[V] \]

Use this information to answer the following questions:

Suppose that the Kernel
Transcribed Image Text:### Linear Algebra Problem Set #### 3. Linear Transformation Analysis Suppose that \( T \) is a linear transformation with the matrix of the transformation: \[ A = \begin{bmatrix} 1 & -2 & 5 \\ 2 & 3 & -4 \\ 1 & -5 & 11 \\ 0 & -2 & 4 \end{bmatrix} \] - **a. Transformation Dimensions** What are \( n \) and \( m \)? - **b. Kernel of \( T \)** Find \( \text{Ker} (T) \). - **c. Range of \( T \)** Find \( \text{Rng}(T) \). - **d. One-to-One Property** Determine if \( T \) is one-to-one. - **e. Onto Property** Determine if \( T \) is onto. #### 4. Function Space Analysis Suppose that \( V = C^0 [0, 1] \), and let \( (f(x), g(x)) = \int_0^1 f(x)g(x) \, dx \). - **a. Polynomial Functions** - Find \( \langle x, 2x^3 \rangle \). - **b. Norm Evaluation** - Find \( ||3x|| \). - **c. Orthogonality Check** - Determine if \( f(x) = \cos(\pi x) \) and \( g(x) = \sin(\pi x) \) are orthogonal. Explain your reasoning. #### 5. Geometry and Distance Calculation Use projections to find the distance from the point \((0, -1, 3)\) to the plane \(2x - 3y + z = 4\). Show your work. Write your answer as an exact answer and not as a decimal. You may use a calculator. #### 6. General Rank Nullity Theorem General Rank Nullity states: If \( T: V \rightarrow W \) is a linear transformation and \( V \) is finite-dimensional, then: \[ \text{dim}[\text{Ker}(T)] + \text{dim}[\text{Rng}(T)] = \text{dim}[V] \] Use this information to answer the following questions: Suppose that the Kernel
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