The following 2 matrices are row equivalent  find a basis for the column space of A find a basis for the null space of A Is the column space B the same as the column space of A? Why?

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Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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The following 2 matrices are row equivalent 

find a basis for the column space of A

find a basis for the null space of A

Is the column space B the same as the column space of A? Why?

The image presents two matrices, labeled \( A \) and \( B \).

Matrix \( A \) is a 3x4 matrix, defined as:

\[
A = \begin{pmatrix} 
1 & 3 & 4 & 9 \\ 
2 & 9 & 5 & 3 \\ 
1 & 6 & 1 & -6 
\end{pmatrix}
\]

Matrix \( B \) is a 3x4 matrix, defined as:

\[
B = \begin{pmatrix} 
1 & 0 & 7 & 24 \\ 
0 & 1 & -1 & -5 \\ 
0 & 0 & 0 & 0 
\end{pmatrix}
\]

These matrices are essential components in linear algebra, often used for solving systems of linear equations, transformations, and various applications in mathematics and engineering. The zero row in matrix \( B \) indicates a potential rank deficiency, which can affect solutions in certain contexts.
Transcribed Image Text:The image presents two matrices, labeled \( A \) and \( B \). Matrix \( A \) is a 3x4 matrix, defined as: \[ A = \begin{pmatrix} 1 & 3 & 4 & 9 \\ 2 & 9 & 5 & 3 \\ 1 & 6 & 1 & -6 \end{pmatrix} \] Matrix \( B \) is a 3x4 matrix, defined as: \[ B = \begin{pmatrix} 1 & 0 & 7 & 24 \\ 0 & 1 & -1 & -5 \\ 0 & 0 & 0 & 0 \end{pmatrix} \] These matrices are essential components in linear algebra, often used for solving systems of linear equations, transformations, and various applications in mathematics and engineering. The zero row in matrix \( B \) indicates a potential rank deficiency, which can affect solutions in certain contexts.
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