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Describe the possible echelon forms of a nonzero \(3 \times 2\) matrix. Use the symbols \(\square, *\), and \(0\).

Short Answer

Expert verified

The possible echelon forms of a nonzero \(3 \times 2\) matrix are \(\left[ \begin{matrix} \square & * \\ 0 & \square \\ 0 & 0 \\ \end{matrix} \right]\), \(\left[ \begin{matrix} \square & * \\ 0 & 0 \\ 0 & 0 \\ \end{matrix} \right]\), and \(\left[ \begin{matrix} 0 & \square \\ 0 & 0 \\ 0 & 0 \\ \end{matrix} \right]\).

Step by step solution

01

Write the conditions for the echelon and reduced echelon forms

Check whether the provided matrix is in the reduced echelon form or just the echelon form for the given augmented matrices.

The matrix is in the echelon form if it satisfies the following conditions:

  • The nonzero rows should be positioned above the zero rows.
  • Each row's leading entry should be in the column to the right of the row above its leading item.
  • In each column, all items below the leading entry should be zero.

For the reduced echelon form, the matrix must follow the above conditions as well as some additional conditions as shown below:

  • Each column's components below the leading entry must be zero.
  • Each column's leading 1 must be the sole nonzero item.
02

Describe the first possible echelon form of the matrix

Consider the condition that nonzero rows should be stacked on top of rows with all zeros, and there should be a nonzero value in the leading entries in the column.

\(\left[ \begin{matrix} \square & * \\ 0 & \square \\ 0 & 0 \\ \end{matrix} \right]\)

03

Describe the second possible echelon form of the matrix

Consider the condition that nonzero rows should be stacked on top of rows with all zeros, and there should be a nonzero value in the leading entries in the column.

\(\left[ \begin{matrix} \square & * \\ 0 & 0 \\ 0 & 0 \\ \end{matrix} \right]\)

04

Describe the third possible echelon form of the matrix

Consider the condition that nonzero rows should be stacked on top of rows with all zeros and contain a single leading entry.

\(\left[ \begin{matrix} 0 & \square \\ 0 & 0 \\ 0 & 0 \\ \end{matrix} \right]\)

Thus, the possible echelon forms of a nonzero 3 x 2 matrix are \(\left[ \begin{matrix} \square & * \\ 0 & \square \\ 0 & 0 \\ \end{matrix} \right]\), \(\left[ \begin{matrix} \square & * \\ 0 & 0 \\ 0 & 0 \\ \end{matrix} \right]\), and \(\left[ \begin{matrix} 0 & \square \\ 0 & 0 \\ 0 & 0 \\ \end{matrix} \right]\).

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Most popular questions from this chapter

Row reduce the matrices in Exercise 3 to reduced echelon form. Circle the pivot positions in the final matrix and in the original matrix, and list the pivot columns.

3. \(\left[ {\begin{array}{*{20}{c}}1&2&3&4\\4&5&6&7\\6&7&8&9\end{array}} \right]\)

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23.

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d. The equation \(x = p + tv\) describes a line through \({\mathop{\rm v}\nolimits} \) parallel to \(p\).

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Let \({\bf{u}}\) and \({\bf{v}}\) be vectors in\({\mathbb{R}^{\bf{n}}}\). It can be shown that the set \({\bf{P}}\) of all points in the parallelogram determined by \({\bf{u}}\) and \({\bf{v}}\) has the form \({\bf{av}} + {\bf{bv}}\), for \({\bf{0}} \le {\bf{a}} \le {\bf{1}}\), \({\bf{0}} \le {\bf{b}} \le {\bf{1}}\). Let \({\bf{T}}:{\mathbb{R}^{\bf{n}}} \to {\mathbb{R}^{\bf{n}}}\) be a linear transformation. Explain why the image of a point in \({\bf{P}}\) under the transformation \({\bf{T}}\) lies in the parallelogram determined by \({\bf{T}}\left( {\bf{u}} \right)\) and \({\bf{T}}\left( {\bf{v}} \right)\).

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