What are the image and kernel of matrices A and B?

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SUMMARY

The discussion focuses on finding the image and kernel of two matrices, A and B. Matrix A, defined as A = \begin{bmatrix}1&2&3\end{bmatrix}, has an image represented by the span of its column vectors, leading to im(A) = x1[1] + x2[2]. The kernel of A is determined to be ker(A) = [-2t-3r]. For matrix B, defined as B = \begin{bmatrix}2&3\\6&9\end{bmatrix}, the image is a one-dimensional subspace spanned by \begin{bmatrix}1\\3\end{bmatrix}, while the kernel is represented by ker(B) = k\begin{bmatrix}3\\-2\end{bmatrix}. The discussion clarifies the concepts of linear dependence and the significance of the kernel in relation to the matrices.

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  • #31
I tried an example with three x's and made up the value for 2 and solved for the last but i ended up with 2 different values for that x one for each equation, but they didnt work for both
 
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  • #32
toothpaste666 said:
so a nontrivial relation would be
for the 2x2 matrix B would be
5\begin{bmatrix}2\\6\end{bmatrix} + \frac{-10}{3}\begin{bmatrix}3\\9\end{bmatrix} = 0
Sure, that works. A simpler example is
##1\begin{bmatrix}2\\6\end{bmatrix} + \frac{-2}{3}\begin{bmatrix}3\\9\end{bmatrix} = 0##
 
  • #33
toothpaste666 said:
I tried an example with three x's and made up the value for 2 and solved for the last but i ended up with 2 different values for that x one for each equation, but they didnt work for both
Which matrix are you referring to here?
 
  • #34
I wanted to find a nontrivial relation between the column vectors
\begin{bmatrix}1\\2\end{bmatrix}, \begin{bmatrix}2\\3\end{bmatrix}, \begin{bmatrix}3\\4\end{bmatrix}
so i picked
x_1 \begin{bmatrix}1\\2\end{bmatrix} + 2 \begin{bmatrix}2\\3\end{bmatrix} + 3 \begin{bmatrix}3\\4\end{bmatrix}
= \begin{bmatrix}x_1\\2x_1\end{bmatrix} + \begin{bmatrix}4\\6\end{bmatrix} + \begin{bmatrix}9\\12\end{bmatrix}
= \begin{bmatrix}x_1 + 4 + 9\\2x_1 + 6 + 12\end{bmatrix}
= \begin{bmatrix}x_1 + 13\\2x_1 + 18\end{bmatrix}
so for the top row x1 = -13
and for the bottom row x1 = -9 but if i plug either of this into x1 in the first step neither of them work
 
  • #35
toothpaste666 said:
I wanted to find a nontrivial relation between the column vectors
\begin{bmatrix}1\\2\end{bmatrix}, \begin{bmatrix}2\\3\end{bmatrix}, \begin{bmatrix}3\\4\end{bmatrix}
This is a different problem from the two you posted at the start of this thread (so you should have started a new thread...)
The advice I gave about picking two of the constants applied only to matrix A. It doesn't apply to this matrix.

What you're doing here is to solve this matrix equation for the constants:
$$\begin{bmatrix} 1 & 2 & 3 \\ 2 & 3 & 4\end{bmatrix} \begin{bmatrix} c_1 \\ c_2 \\ c_3\end{bmatrix} = \begin{bmatrix} 0 \\ 0\end{bmatrix}$$
To do this, row reduce the matrix on the left. Once the matrix is reduced, you can read off the constants.
toothpaste666 said:
so i picked
x_1 \begin{bmatrix}1\\2\end{bmatrix} + 2 \begin{bmatrix}2\\3\end{bmatrix} + 3 \begin{bmatrix}3\\4\end{bmatrix}
= \begin{bmatrix}x_1\\2x_1\end{bmatrix} + \begin{bmatrix}4\\6\end{bmatrix} + \begin{bmatrix}9\\12\end{bmatrix}
= \begin{bmatrix}x_1 + 4 + 9\\2x_1 + 6 + 12\end{bmatrix}
= \begin{bmatrix}x_1 + 13\\2x_1 + 18\end{bmatrix}
so for the top row x1 = -13
and for the bottom row x1 = -9 but if i plug either of this into x1 in the first step neither of them work
 
  • #36
oops sorry! that makes sense. is the reason that only applies to A because it is a square matrix?
 
  • #37
toothpaste666 said:
oops sorry! that makes sense. is the reason that only applies to A because it is a square matrix?
A is not a square matrix: it is 3 X 1. B is a square matrix. The vectors in post #34 are unrelated to the A and B matrices.

Please start a new thread.
 

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