LINEAR ALGEBRA: Find vectors that span the image of A

In summary, to find vectors that span the image of a matrix A, we can treat each row as a vector and reduce the matrix to find the leading ones. For matrix A_1, the image is spanned by the vectors [1, 1, 1, 1] and [1, 2, 3, 4]. For matrix A_2, we can solve for the leading ones to find that the image is spanned by [1, 0, -1, -2] and [0, 1, 2, 3].
  • #1
VinnyCee
489
0
For each matrix A, find vectors that span the image of A. Give as few vectors as possible.

[tex]\mathbf{A_1} =
\left[ \begin{array}{cc}
1 & 1 \\
1 & 2 \\
1 & 3 \\
1 & 4
\end{array} \right][/tex]


[tex]\mathbf{A_2} =
\left[ \begin{array}{cccc}
1 & 1 & 1 & 1 \\
1 & 2 & 3 & 4 \\
\end{array} \right][/tex]


My work:

[tex]T(\overrightarrow{x})\,=\,A_1\,\overrightarrow{x}[/tex]

[tex]A_1\,\left[ \begin{array}{c}
x_1 \\
x_2 \\
x_3 \\
x_4
\end{array} \right]\,=\,\left[ \begin{array}{cc}
1 & 1 \\
1 & 2 \\
1 & 3 \\
1 & 4
\end{array} \right]\,\left[ \begin{array}{c}
x_1 \\
x_2
\end{array} \right][/tex]

[tex] x_1\,\left[ \begin{array}{c}
1 \\
1 \\
1 \\
1
\end{array} \right]\,+\,x_2\,\left[ \begin{array}{c}
1 \\
2 \\
3 \\
4
\end{array} \right][/tex]

The image of [tex]A_1[/tex] is the space spanned by

[tex]v_1\,=\,\left[ \begin{array}{c}
1 \\
1 \\
1 \\
1
\end{array} \right]\,\,and\,\,v_2\,=\,\left[ \begin{array}{c}
1 \\
2 \\
3 \\
4
\end{array} \right][/tex]

For the second part:

[tex]A_2\,\overrightarrow{x}[/tex]

[tex]\left[ \begin{array}{cccc}
1 & 1 & 1 & 1 \\
1 & 2 & 3 & 4 \\
\end{array} \right]\,\left[ \begin{array}{c}
x_1 \\
x_2 \\
x_3 \\
x_4
\end{array} \right][/tex]

[tex]x_1\,\left[\begin{array}{c}
1 \\
1 \\
\end{array}\right]\,+\,x_2\,\left[\begin{array}{c}
1 \\
2 \\
\end{array}\right]\,+\,x_3\,\left[\begin{array}{c}
1 \\
3 \\
\end{array}\right]\,+\,x_4\,\left[\begin{array}{c}
1 \\
4 \\
\end{array}\right][/tex]

But now I don't know where to proceed to solve the second part. The B.O.B. says that the answer is

[tex]\left[\begin{array}{c}
1 \\
1 \\
\end{array}\right],\,\left[\begin{array}{c}
1 \\
2 \\
\end{array}\right][/tex]

How do I show such?
 
Last edited:
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  • #2
You are trying to find a basis for the "row space". Treat each row as a vector and reduce. Obviously you have 4 rows, so 4 vectors, but the image is subset of R2 and so can have dimension no larger than 2.

Actually, if the dimension is 2, then (1,0), (0, 1) will work. If 1, anyone of the rows will work.
 
  • #3
[tex]A_1[/tex] has four rows, but only two vectors. I am assuming that the number of columns should equal the number of vectors?

Where are you getting the (1, 0) and (0, 1 ) from?

By "dimension", do you mean the number of columns in a matrix, or the number of rows?
 
  • #4
Leading ones.

Solve for leading ones. you will get something like: [(1,0,-1,-2);(0,1,2,3)]. You can see that the columns with leading ones refer you back to the original matrix, which gives you the answer that the BOB had. Hope that helps.
 

1. What is "spanning" in linear algebra?

In linear algebra, "spanning" refers to the set of all possible linear combinations of a given set of vectors. This set is called the "span" of the vectors and it represents all the possible values that can be created by taking a combination of these vectors.

2. How do you find vectors that span the image of a matrix?

To find vectors that span the image of a matrix, you can first find the reduced row echelon form of the matrix. Then, the columns with leading ones in the reduced row echelon form will correspond to the vectors that span the image of the matrix.

3. Can there be multiple sets of vectors that span the image of a matrix?

Yes, there can be multiple sets of vectors that span the image of a matrix. This is because the span of a set of vectors is the set of all possible linear combinations of those vectors, so there can be many combinations that result in the same span.

4. Why is finding vectors that span the image important?

Finding vectors that span the image of a matrix is important because it helps us understand the range or output of a linear transformation. It also helps us to solve systems of linear equations and to find solutions to various problems in fields such as engineering, computer science, and economics.

5. Is it possible for a matrix to have no vectors that span its image?

Yes, it is possible for a matrix to have no vectors that span its image. This can happen if the matrix has linearly dependent columns, meaning that some of its columns can be expressed as a linear combination of the other columns. In this case, the span of the matrix will be a smaller subspace of the vector space and will not include all possible values.

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