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

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SUMMARY

The discussion focuses on determining the values of n and m for the linear transformation T: R^n → R^m defined by the matrix A = [[3, 1], [0, 5], [4, 2]], which is a 3x2 matrix. Here, m is established as 3 (the number of rows) and n as 2 (the number of columns). The transformation T maps vectors from R^2 to R^3, confirming that the input vector x must be a 2x1 column vector, resulting in a 3x1 output vector.

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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
 

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