Math Problem Statement
Solution
We are tasked with determining the matrix that represents a linear transformation based on the given vectors and their images under the transformation.
From the image, we are given:
Step 1: Express the Transformation as a Matrix
A linear transformation can be written as a matrix multiplication:
where is the transformation matrix we need to find. The columns of will be the images of the standard basis vectors under the transformation.
Let’s call the two given vectors as and , and their corresponding images as and .
Step 2: Set up the System of Equations
We want to solve for the matrix such that:
The matrix is of the form:
Now we can substitute the given transformations into this equation.
Step 3: Solve for the Elements of the Matrix
Using the first vector transformation:
This gives us two equations:
2a - b &= -1 \\ 2c - d &= 6 \end{aligned}$$ Using the second vector transformation: $$A \begin{bmatrix} -6 \\ -5 \end{bmatrix} = \begin{bmatrix} -5 \\ -2 \end{bmatrix}$$ This gives us two more equations: $$\begin{aligned} -6a - 5b &= -5 \\ -6c - 5d &= -2 \end{aligned}$$ ### Step 4: Solve the System of Equations We now have the following system of four equations: 1. $$2a - b = -1$$ 2. $$2c - d = 6$$ 3. $$-6a - 5b = -5$$ 4. $$-6c - 5d = -2$$ Let me solve these equations to find the values of $$a$$, $$b$$, $$c$$, and $$d$$.The solution to the system of equations gives the values: $$a = 0, \quad b = 1, \quad c = 2, \quad d = -2$$ Thus, the matrix $$A$$ representing the linear transformation $$T$$ is: $$A = \begin{bmatrix} 0 & 1 \\ 2 & -2 \end{bmatrix}$$ ### Final Expression: For any vector $$\mathbf{v} \in \mathbb{R}^2$$, the linear transformation $$T(\mathbf{v})$$ is given by: $$T(\mathbf{v}) = \begin{bmatrix} 0 & 1 \\ 2 & -2 \end{bmatrix} \mathbf{v}$$ Would you like to explore further details or ask questions about this solution? Here are five related questions to expand your understanding: 1. How does this transformation affect the orientation of vectors in $$\mathbb{R}^2$$? 2. Can you find the inverse of the matrix $$A$$, and under what conditions does it exist? 3. How would this transformation act on the standard basis vectors $$\mathbf{e}_1$$ and $$\mathbf{e}_2$$? 4. What is the geometric interpretation of the linear transformation $$T$$ in terms of scaling, rotation, or reflection? 5. How can we generalize this approach to higher-dimensional spaces? **Tip:** Always verify that a linear transformation preserves vector addition and scalar multiplication to confirm its properties.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Linear Transformations
Matrix Representations
Formulas
Matrix multiplication: T(\mathbf{v}) = A \mathbf{v}
System of equations for matrix elements
Theorems
Properties of linear transformations
Matrix representation of linear transformations in \( \mathbb{R}^2 \)
Suitable Grade Level
Undergraduate Mathematics