Linear Algebra - Linear transformation quesiton

In summary, The linear operator T on R2, with the matrix \begin{bmatrix}4 & -1\\-4 & 3 \end{bmatrix} relative to the basis A = B = {(1,2), (0, 1)}, when applied to vector u = \begin{bmatrix}1 \\1\end{bmatrix} with coordinates relative to the basis A = B, results in T(u) = {(3,6), (0,-1)}, or in component form (x,y) = (3,5).
  • #1
zeion
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Homework Statement



The linear operator T on R2 has the matrix
[tex]
\begin{bmatrix}4 & -1\\-4 & 3 \end{bmatrix}
[/tex] relative to the basis A = B = {(1,2), (0, 1)}. A vector u has coordinates [tex]


\begin{bmatrix}1 \\1\end{bmatrix}

[/tex] relative to this basis. Find T(u) in component form (x, y)

Homework Equations





The Attempt at a Solution



I apply T to u = [tex]
\begin{bmatrix}4 & -1\\-4 & 3 \end{bmatrix} \begin{bmatrix}1 \\1\end{bmatrix} = \begin{bmatrix} 3 \\-1\end{bmatrix} [/tex]

= relative to the given basis

Then T(u) = {(3,6), (0,-1)}

Does that look right?
 
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  • #2
Your answer is in the wrong form.

[tex] \begin{bmatrix} 3 \\-1 \end{bmatrix} = 3 \begin{bmatrix} 1 \\0 \end{bmatrix} + (-1) \begin{bmatrix} 0 \\1 \end{bmatrix} = 3 (1,2) + (-1) (0,1)[/tex]
 

FAQ: Linear Algebra - Linear transformation quesiton

What is a linear transformation?

A linear transformation is a function that maps one vector space to another in a way that preserves the structure of the original vector space. In other words, it is a function that takes in vectors as inputs and outputs new vectors that are still in the same vector space.

How is a linear transformation represented?

A linear transformation can be represented by a matrix. Each column of the matrix represents where the basis vectors of the original vector space are mapped to in the new vector space. The resulting vector can be found by multiplying the matrix by the input vector.

What is the difference between a linear transformation and a linear function?

A linear function is a specific type of linear transformation that maps real numbers to real numbers. It can be represented by a line on a graph. A linear transformation, on the other hand, can map vectors to vectors in any vector space, not just real numbers.

How do you determine if a transformation is linear?

To determine if a transformation is linear, you can check if it satisfies the two properties of linearity: additivity and homogeneity. Additivity means that the transformation of the sum of two vectors is equal to the sum of the individual transformations. Homogeneity means that the transformation of a vector multiplied by a scalar is equal to the scalar multiplied by the transformation of the vector.

What is the importance of linear transformations in mathematics?

Linear transformations are important in mathematics because they allow us to study vector spaces and their properties in a more structured and organized way. They also have many practical applications in fields such as physics, engineering, and computer science.

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