Find n and m values of a linear Transformation if given a matrix A

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The discussion focuses on determining the dimensions n and m of a linear transformation T defined by a matrix A. It clarifies that for a matrix A of size m x n, the input vector x must belong to R^n, while the output T(x) will belong to R^m. Specifically, the matrix A provided is 3 x 2, indicating m = 3 and n = 2. Participants emphasize the importance of understanding the relationship between the dimensions of the input and output spaces in linear transformations. Experimentation with different matrix sizes is suggested as a method to grasp these concepts better.
dcarmichael
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Homework Statement
The linear transformation T: R^n---> R^m is defined by T(v)=Av. Find the values of n and m if A is the following matrix. How do i find n and m values?
Relevant Equations
T(v)=Av
20191028_164735 (1).jpg
 
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dcarmichael said:
Homework Statement: The linear transformation T: R^n---> R^m is defined by T(v)=Av. Find the values of n and m if A is the following matrix. How do i find n and m values?
Homework Equations: T(v)=Av

View attachment 251993
For a matrix product Ax, where A is an m X n matrix (m rows and n columns) and x is an n X 1 matrix (a column vector), the product will be an m X 1 vector. In the problem, it's given that ##T:\mathbb R^n \to \mathbb R^m##, so x has to belong to which of these spaces, and T(x) has to belong to which of these spaces?
BTW, your doodling on the paper in the image doesn't come anywhere close to the answers to problem 2.
 
Mark44 said:
For a matrix product Ax, where A is an m X n matrix (m rows and n columns) and x is an n X 1 matrix (a column vector), the product will be an m X 1 vector. In the problem, it's given that ##T:\mathbb R^n \to \mathbb R^m##, so x has to belong to which of these spaces, and T(x) has to belong to which of these spaces?
BTW, your doodling on the paper in the image doesn't come anywhere close to the answers to problem 2.
x Has to belong to Rn and T(x) must belong to Rm
 
Why don't you try some random matrices with different sizes and see what happens? Experimenting, and then learning from what doesn't work can help you derive how to solve problems of this type.
 
dcarmichael said:
x Has to belong to Rn and T(x) must belong to Rm
Right.
In problem 2b of the image you posted, it has ##A = \begin{bmatrix} 3 & 1 \\ 0 & 5 \\ 4 & 2\end{bmatrix}##, and A is a 3 X 2 matrix (m = 3, n = 2). Above it you wrote m = 3 and n = 1, which isn't correct. If x is a column matrix to the right of A, it needs to be <how big?> X 1? The number you get here is the dimension of the domain space.

And the result vector needs to be <how big?> X 1? The number here will be the dimension of the range space.
 
Mark44 said:
Right.
In problem 2b of the image you posted, it has ##A = \begin{bmatrix} 3 & 1 \\ 0 & 5 \\ 4 & 2\end{bmatrix}##, and A is a 3 X 2 matrix (m = 3, n = 2). Above it you wrote m = 3 and n = 1, which isn't correct. If x is a column matrix to the right of A, it needs to be <how big?> X 1? The number you get here is the dimension of the domain space.

And the result vector needs to be <how big?> X 1? The number here will be the dimension of the range space.
And x must be a vector of nx1 which will result in a 3x1 matrix in b so its going from R^2 from 3 to R^3
 
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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