Find the matrices of the following linear transformations from R³ to R³. The orthogonal projection onto the y-axis: 393

Advanced Engineering Mathematics
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Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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**Title: Understanding Linear Transformations and Orthogonal Projections in \( \mathbb{R}^3 \)**

**Introduction:**
This lesson focuses on finding matrices that represent specific linear transformations in three-dimensional space, denoted as \( \mathbb{R}^3 \). We will explore the concept of orthogonal projection onto the y-axis.

**Problem Statement:**
Find the matrices of the following linear transformations from \( \mathbb{R}^3 \) to \( \mathbb{R}^3 \).

**Task:**
- Determine the matrix representing the orthogonal projection onto the y-axis.

**Matrix Representation:**
To represent an orthogonal projection onto the y-axis in \( \mathbb{R}^3 \), consider the following structure of a 3x3 matrix:

\[
\begin{bmatrix}
0 & 0 & 0 \\
0 & 1 & 0 \\
0 & 0 & 0
\end{bmatrix}
\]

**Explanation:**
The above matrix transformation projects any vector in \( \mathbb{R}^3 \) onto the y-axis. This means that the output vector will have its x and z components set to zero, while the y component remains unchanged.

**Conclusion:**
Using this matrix, any vector \(\begin{bmatrix} x \\ y \\ z \end{bmatrix}\) in \( \mathbb{R}^3 \) will be transformed to \(\begin{bmatrix} 0 \\ y \\ 0 \end{bmatrix}\), effectively projecting it onto the y-axis. Understanding these transformations is essential for applications in geometry, computer graphics, and data science.
Transcribed Image Text:**Title: Understanding Linear Transformations and Orthogonal Projections in \( \mathbb{R}^3 \)** **Introduction:** This lesson focuses on finding matrices that represent specific linear transformations in three-dimensional space, denoted as \( \mathbb{R}^3 \). We will explore the concept of orthogonal projection onto the y-axis. **Problem Statement:** Find the matrices of the following linear transformations from \( \mathbb{R}^3 \) to \( \mathbb{R}^3 \). **Task:** - Determine the matrix representing the orthogonal projection onto the y-axis. **Matrix Representation:** To represent an orthogonal projection onto the y-axis in \( \mathbb{R}^3 \), consider the following structure of a 3x3 matrix: \[ \begin{bmatrix} 0 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 0 \end{bmatrix} \] **Explanation:** The above matrix transformation projects any vector in \( \mathbb{R}^3 \) onto the y-axis. This means that the output vector will have its x and z components set to zero, while the y component remains unchanged. **Conclusion:** Using this matrix, any vector \(\begin{bmatrix} x \\ y \\ z \end{bmatrix}\) in \( \mathbb{R}^3 \) will be transformed to \(\begin{bmatrix} 0 \\ y \\ 0 \end{bmatrix}\), effectively projecting it onto the y-axis. Understanding these transformations is essential for applications in geometry, computer graphics, and data science.
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