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Copy file name to clipboardExpand all lines: SYS-0030/main.tex
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@@ -16,7 +16,7 @@ \section*{Gaussian Elimination and Rank}
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\subsection*{Row Echelon and Reduced Row Echelon Forms}
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In \href{https://ximera.osu.edu/linearalgebradzv3/LinearAlgebraInteractiveIntro/SYS-0020/main}{Augmented Matrix Notation and Elementary Row Operations}, we learned to write linear systems in \dfn{augmented matrix} form and use elementary row operations to transform an augmented matrix to \dfn{row-echelon form} and the \dfn{reduced row-echelon form} in order to solve linear systems.
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In \textit{Augmented Matrix Notation and Elementary Row Operations}, we learned to write linear systems in \dfn{augmented matrix} form and use elementary row operations to transform an augmented matrix to \dfn{row-echelon form} and the \dfn{reduced row-echelon form} in order to solve linear systems.
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Recall that a matrix (or augmented matrix) is in \dfn{row-echelon form} if:
\choice[correct]{Any row-echelon form of $A$ will have exactly $5$ nonzero rows}
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\choice{Some row-echelon forms of $A$ may have more than $5$ nonzero rows}
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\choice{Some row-echelon forms of $A$ may have less than $5$ nonzero rows}
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\choice{Some row-echelon forms of $A$ may have fewer than $5$ nonzero rows}
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\end{selectAll}
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\end{problem}
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\begin{problem}\label{prob:rankaugvscoeff}
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In this problem we will discuss how the rank of the {\it coefficient matrix} associated with a linear system compares to the rank of the {\it augmented matrix} associated with the system.
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In this problem we will consider how the rank of the {\it coefficient matrix} associated with a linear system compares to the rank of the {\it augmented matrix} associated with the system.
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\begin{enumerate}
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\item Explain why the rank of the augmented matrix has to be greater than or equal to the rank of the coefficient matrix.
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\item Prove that for a {\it consistent} system the rank of the coefficient matrix will be the same as the rank of the {\it augmented} matrix.
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