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In Exercises 37–40, let T be the linear transformation whose standard matrix is given. In Exercises 37 and 38, decide if T is a one-to-one mapping. In Exercises 39 and 40, decide if T maps \({\mathbb{R}^{\bf{5}}}\) onto \({\mathbb{R}^{\bf{5}}}\). Justify your answers.

37. \(\left[ {\begin{array}{*{20}{c}}{ - 5}&{10}&{ - 5}&4\\8&3&{ - 4}&7\\4&{ - 9}&5&{ - 3}\\{ - 3}&{ - 2}&5&4\end{array}} \right]\)

Short Answer

Expert verified

Transformation T is not one-to-one.

Step by step solution

01

Identify the condition for one-to-one mapping

The transformation maps\({\mathbb{R}^n}\)one-to-one\({\mathbb{R}^m}\)if at most one solution exists for\(T\left( {\bf{x}} \right) = {\bf{b}}\), and each vector b is in the codomain \({\mathbb{R}^m}\). And this linear transformation, \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\), has only a trivial solution.

02

Convert the matrix into the row-reduced echelon form

Consider the matrix\(A = \left[ {\begin{array}{*{20}{c}}{ - 5}&{10}&{ - 5}&4\\8&3&{ - 4}&7\\4&{ - 9}&5&{ - 3}\\{ - 3}&{ - 2}&5&4\end{array}} \right]\).

Use the code in the MATLAB to obtain the row-reduced echelon form, as shown below:

\(\begin{array}{l} > > {\rm{ A }} = {\rm{ }}\left[ { - 5{\rm{ }}10{\rm{ }} - 5{\rm{ }}4;{\rm{ }}8{\rm{ }}3{\rm{ }} - 4{\rm{ }}7;{\rm{ }}4{\rm{ }} - 9{\rm{ }}5{\rm{ }} - 3;{\rm{ }} - 3{\rm{ }} - 2{\rm{ }}5{\rm{ }}4} \right];\\ > > {\rm{ U}} = {\rm{rref}}\left( {\rm{A}} \right)\end{array}\)

\(\left[ {\begin{array}{*{20}{c}}{ - 5}&{10}&{ - 5}&4\\8&3&{ - 4}&7\\4&{ - 9}&5&{ - 3}\\{ - 3}&{ - 2}&5&4\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&0&0&{44/35}\\0&1&0&{79/35}\\0&0&1&{86/35}\\0&0&0&0\end{array}} \right]\)

You can also write it as \(\left[ {\begin{array}{*{20}{c}}1&0&0&{1.2571}\\0&1&0&{2.2571}\\0&0&1&{2.4571}\\0&0&0&0\end{array}} \right]\).

In the obtained matrix, the fourth column does not have a pivot position. So, the solution is non-trivial.

Thus, transformation T is not one-to-one.

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Most popular questions from this chapter

Suppose \(Ax = b\) has a solution. Explain why the solution is unique precisely when \(Ax = 0\) has only the trivial solution.

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

In Exercises 5–8, use the definition ofAx to write the matrix

equation as a vector equation, or vice versa.

5. \(\left[ {\begin{array}{*{20}{c}}5&1&{ - 8}&4\\{ - 2}&{ - 7}&3&{ - 5}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}5\\{ - 1}\\3\\{ - 2}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{ - 8}\\{16}\end{array}} \right]\)

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.

Let \(A = \left[ {\begin{array}{*{20}{c}}2&0&6\\{ - 1}&8&5\\1&{ - 2}&1\end{array}} \right]\), let \(b = \left[ {\begin{array}{*{20}{c}}{10}\\3\\3\end{array}} \right]\) , and let \(W\) be the set of all linear combinations of the columns of \(A\).

  1. Is \(b\) in \(W\)?
  2. Show that the third column of \(A\) is in \(W\).
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