34. Give an example of a linear transformation whose ker- nel is the line spanned by in R³. How would you oblue this usineg Matrix caletafion such as ン
34. Give an example of a linear transformation whose ker- nel is the line spanned by in R³. How would you oblue this usineg Matrix caletafion such as ン
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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
Transcribed Image Text:**Problem 34: Linear Transformation Example**
- **Objective**: Provide an example of a linear transformation whose kernel is the line spanned by the vector \(\begin{bmatrix} -1 \\ 1 \\ 2 \end{bmatrix}\) in \(\mathbb{R}^3\).
- **Exercise**: How would you solve this using matrix calculations such as \(A \vec{x} = \vec{0}\)?
To find such a linear transformation, consider a matrix \(A\) that when multiplied by the vector \(\vec{x} = \begin{bmatrix} -1 \\ 1 \\ 2 \end{bmatrix}\), yields the zero vector \(\vec{0}\). This indicates that the vector is part of the kernel of the transformation. The process involves setting up a system of equations representing linear combinations of the rows of \(A\) that result in the specified zero output for the given vector, ensuring all vectors in the kernel are scalar multiples of \(\begin{bmatrix} -1 \\ 1 \\ 2 \end{bmatrix}\).
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