Finding properties of a linear transformation

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The discussion centers on finding properties of the linear transformation T(A) = Av, where v = (1, 2) and A is a 2x2 matrix. Participants agree that the domain is the R^2x2 vector space and the target space is R^2. There is uncertainty regarding how to determine the image, rank, and nullity, with suggestions to solve specific equations involving matrix A and vector v. The nullspace can be found by solving A(1, 2) = (0, 0), while the image can be derived from A(1, 2) = (y1, y2). The conversation emphasizes the relationship between rank and nullity through the rank-nullity theorem.
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Homework Statement


Find the domain, target space, image, rank and nullity of the linear transformation T(A)=Av, where v= (1, 2) and A is any 2×2matrix.

Homework Equations



The Attempt at a Solution


I believe I know the domain (R2x2 vector space) and target space (R2), but I am not sure how to solve for the image, rank, and nullity. I have tried making the matrix A an arbitrary 2x2 matrix with the variables a, b, c, d but this doesn't seem to be making it easy to find the image or rank. And I think if I am able to find the rank, I can find the nullity based on the rank-nullity theorem.
 
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papaross said:

Homework Statement


Find the domain, target space, image, rank and nullity of the linear transformation T(A)=Av, where v= (1, 2) and A is any 2×2matrix.

Homework Equations



The Attempt at a Solution


I believe I know the domain (R2x2 vector space)
Not sure what you mean by "R2x2 vector space".
papaross said:
and target space (R2), but I am not sure how to solve for the image, rank, and nullity. I have tried making the matrix A an arbitrary 2x2 matrix with the variables a, b, c, d but this doesn't seem to be making it easy to find the image or rank. And I think if I am able to find the rank, I can find the nullity based on the rank-nullity theorem.
What does the vector Av look like, using the matrix you described?

The nullspace is easy: Solve the equation
$$A\begin{bmatrix} 1 \\ 2 \end{bmatrix} = \begin{bmatrix} 0 \\ 0\end{bmatrix}$$

Finding the image is similar:
Solve the equation
$$A\begin{bmatrix} 1 \\ 2 \end{bmatrix} = \begin{bmatrix} y_1 \\ y_2\end{bmatrix}$$
 
Mark44 said:
Not sure what you mean by "R2x2 vector space".

What does the vector Av look like, using the matrix you described?

The nullspace is easy: Solve the equation
$$A\begin{bmatrix} 1 \\ 2 \end{bmatrix} = \begin{bmatrix} 0 \\ 0\end{bmatrix}$$

Finding the image is similar:
Solve the equation
$$A\begin{bmatrix} 1 \\ 2 \end{bmatrix} = \begin{bmatrix} y_1 \\ y_2\end{bmatrix}$$
Ok, so if I let
A= a b
c d
then, solving for the nullspace, I would get something like $$t\begin{bmatrix} -2 \\ 0 \end{bmatrix} + s\begin{bmatrix} 0 \\ -0.5\end{bmatrix}$$, meaning $$\begin{bmatrix} -2 \\ 0 \end{bmatrix}, \begin{bmatrix} 0 \\ -0.5\end{bmatrix}$$ spans the nullspace?

and solving for the image would be similar of course.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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