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Question: In Exercises 29 and 30, describe the possible echelon forms of the standard matrix for a linear transformation\(T\). Use the notation of Example 1 in section 1.2.

30. \(T:{\mathbb{R}^4} \to {\mathbb{R}^3}\) is onto.

Short Answer

Expert verified

The possible echelon form of the standard matrix is \(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&\square & * \end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&0&\square \end{array}} \right]\) ,

\(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&0&\square & * \\ 0&0&0&\square\end{array}} \right]\), and \(\left[ {\begin{array}{*{20}{c}}0&\square & * & * \\ 0&0&\square & * \\ 0&0&0&\square \end{array}} \right]\).

Step by step solution

01

The notation of example 1 for matrices in echelon form

In example 1, the following matrices are in echelon form. The leading entries \(\left( \square \right)\) may have any nonzero value; the starred entries \(\left( * \right)\) may have any value (including zero).

\(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&0&0 \\ 0&0&0&0 \end{array}} \right],\left[ {\begin{array}{*{20}{c}} 0&\square & * & * & * & * & * & * & * & * \\ 0&0&0&\square & * & * & * & * & * & * \\ 0&0&0&0&\square & * & * & * & * & * \\ 0&0&0&0&0&\square & * & * & * & * \\ 0&0&0&0&0&0&0&0&\square & * \end{array}} \right]\)

02

Determine the possible echelon form of the standard matrix

Theorem 12states that let\(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) be a linear transformation, and let \(A\) be the standard matrix \(T\) then \(T\)maps \({\mathbb{R}^n}\) onto \({\mathbb{R}^m}\) if and only if the columns of \(A\) span\({\mathbb{R}^m}\).

Theorem 4states that let \(A\) be a \({\mathop{\rm m}\nolimits} \times n\) matrix,then \(A\) has a pivot position in every row.

The columns of \(A\) must span \({\mathbb{R}^3}\), according to theorem 12. The matrix contains a pivot in each row, according to theorem 4.

Use leading entries \(\left( \square \right)\) and starred entries \(\left( * \right)\) to write the possible echelon form of the standard matrix.

\(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&\square & * \end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&0&\square \end{array}} \right]\) ,

\(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&0&\square & * \\ 0&0&0&\square\end{array}} \right]\), and \(\left[ {\begin{array}{*{20}{c}}0&\square & * & * \\ 0&0&\square & * \\ 0&0&0&\square \end{array}} \right]\).

Therefore, \(T\) cannot be one-to-one because of the shape of \(A\).

Thus, the possible echelon form of the standard matrix is \(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&\square & * \end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&\square & * & * \\ 0&0&0&\square \end{array}} \right]\) , \(\left[ {\begin{array}{*{20}{c}} \square & * & * & * \\ 0&0&\square & * \\ 0&0&0&\square\end{array}} \right]\), and \(\left[ {\begin{array}{*{20}{c}}0&\square & * & * \\ 0&0&\square & * \\ 0&0&0&\square \end{array}} \right]\).

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Most popular questions from this chapter

Give a geometric description of span \(\left\{ {{v_1},{v_2}} \right\}\) for the vectors \({{\mathop{\rm v}\nolimits} _1} = \left[ {\begin{array}{*{20}{c}}8\\2\\{ - 6}\end{array}} \right]\) and \({{\mathop{\rm v}\nolimits} _2} = \left[ {\begin{array}{*{20}{c}}{12}\\3\\{ - 9}\end{array}} \right]\).

In Exercises 11 and 12, determine if \({\rm{b}}\) is a linear combination of \({{\mathop{\rm a}\nolimits} _1},{a_2}\) and \({a_3}\).

11.\({a_1} = \left[ {\begin{array}{*{20}{c}}1\\{ - 2}\\0\end{array}} \right],{a_2} = \left[ {\begin{array}{*{20}{c}}0\\1\\2\end{array}} \right],{a_3} = \left[ {\begin{array}{*{20}{c}}5\\{ - 6}\\8\end{array}} \right],{\mathop{\rm b}\nolimits} = \left[ {\begin{array}{*{20}{c}}2\\{ - 1}\\6\end{array}} \right]\)

In Exercises 5–8, determine if the columns of the matrix form a

linearly independent set. Justify each answer.

6. \(\left[ {\begin{array}{*{20}{c}}{ - 4}&{ - 3}&0\\0&{ - 1}&4\\1&0&3\\5&4&6\end{array}} \right]\)

Mark each statement True or False. Justify each answer.

a. In some cases, a matrix may be row reduced to more than one matrix in reduced echelon form, using different sequences of row operations.

b. The row reduction algorithm applies only to augmented matrices for a linear system.

c. A basic variable in a linear system is a variable that corresponds to a pivot column in the coefficient matrix.

d. Finding a parametric description of the solution set of a linear system is the same as solving the system.

e. If one row in an echelon form of an augmented matrix is \(\left( {\begin{array}{*{20}{c}}0&0&0&5&0\end{array}} \right)\), then the associated linear system is inconsistent.

Determine the values(s) of \(h\) such that matrix is the augmented matrix of a consistent linear system.

18. \(\left[ {\begin{array}{*{20}{c}}1&{ - 3}&{ - 2}\\5&h&{ - 7}\end{array}} \right]\)

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