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1-6: Solve the equation Ax=b by using the LU factorization given for A. In Exercises 1 and 2, also solve \(Ax = b\) by ordinary row reduction.

2. \[A = \left[ {\begin{array}{*{20}{c}}4&3&{ - 5}\\{ - 4}&{ - 5}&7\\8&6&{ - 8}\end{array}} \right],{\mathop{\rm b}\nolimits} = \left[ {\begin{array}{*{20}{c}}2\\{ - 4}\\6\end{array}} \right]\]

\(A = \left[ {\begin{array}{*{20}{c}}1&0&0\\{ - 1}&1&0\\2&0&1\end{array}} \right]\,\left[ {\begin{array}{*{20}{c}}4&3&{ - 5}\\0&{ - 2}&2\\0&0&2\end{array}} \right]\)

Short Answer

Expert verified

\({\mathop{\rm x}\nolimits} = \left( {\frac{1}{4},2,1} \right)\) and \(y = \left[ {\begin{array}{*{20}{c}}2\\{ - 2}\\2\end{array}} \right]\)

Step by step solution

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01

Solve the equation \(Ly = b\) for y

Acan be written in the form \(A = LU\), where Lis an \(m \times m\) lower triangular matrix with 1s on the diagonal, and U is an \(m \times n\) echelon form of A.

When \(A = LU\), the equation \(Ax = b\) can be written as \(L\left( {Ux} \right) = {\mathop{\rm b}\nolimits} \).

Write y for \(Ux\) and find x by solving the pair of equations

\(\begin{array}{l}Ly = b\\Ux = y.\end{array}\)

Here, \(L = \left[ {\begin{array}{*{20}{c}}1&0&0\\{ - 1}&1&0\\2&0&1\end{array}} \right]\,{\rm{, }}U = \left[ {\begin{array}{*{20}{c}}4&3&{ - 5}\\0&{ - 2}&2\\0&0&2\end{array}} \right]{\rm{, }}b = \left[ {\begin{array}{*{20}{c}}2\\{ - 4}\\6\end{array}} \right]\)

The matrix \(\left[ {\begin{array}{*{20}{c}}L&b\end{array}} \right]\) is shown below:

\(\left[ {\begin{array}{*{20}{c}}L&b\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}1&0&0&2\\{ - 1}&1&0&{ - 4}\\2&0&1&6\end{array}} \right]\)

Perform an elementary row operation to produce the row-echelon form of the matrix.

At row two, multiply row one by 1 and add it to row two. At row three, multiply row one by 2 and subtract it from row three.

\( \sim \left[ {\begin{array}{*{20}{c}}1&0&0&2\\0&1&0&{ - 2}\\0&0&1&2\end{array}} \right]\)

The arithmetic values take place only in the last column.

Thus, \(y = \left[ {\begin{array}{*{20}{c}}2\\{ - 2}\\2\end{array}} \right]\).

02

Use back-substitution to solve the equation \(Ux = y\) for x

The matrix \(\left[ {\begin{array}{*{20}{c}}U&y\end{array}} \right]\) is shown below:

\(\left[ {\begin{array}{*{20}{c}}U&y\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}4&3&{ - 5}&2\\0&{ - 2}&2&{ - 2}\\0&0&2&2\end{array}} \right]\)

Perform an elementary row operation to produce the row-echelon form of the matrix.

At row three, multiply row three by \(\frac{1}{2}\).

\( \sim \left[ {\begin{array}{*{20}{c}}4&3&{ - 5}&2\\0&{ - 2}&2&{ - 2}\\0&0&1&1\end{array}} \right]\)

At row two, multiply row three by 1 and add it to row two. At row one, multiply row three by 5 and add it to row one.

\[ \sim \left[ {\begin{array}{*{20}{c}}4&3&0&7\\0&{ - 2}&0&{ - 4}\\0&0&1&1\end{array}} \right]\]

At row two, multiply row two by \( - \frac{1}{2}\).

\[ \sim \left[ {\begin{array}{*{20}{c}}4&3&0&7\\0&1&0&2\\0&0&1&1\end{array}} \right]\]

At row one, multiply row two by \( - 3\) and add it to row one.

\[ \sim \left[ {\begin{array}{*{20}{c}}4&0&0&1\\0&1&0&2\\0&0&1&1\end{array}} \right]\]

At row one, multiply row one by \(\frac{1}{4}\).

\[ \sim \left[ {\begin{array}{*{20}{c}}1&0&0&{\frac{1}{4}}\\0&1&0&2\\0&0&1&1\end{array}} \right]\]

Thus, \({\mathop{\rm x}\nolimits} = \left( {\frac{1}{4},2,1} \right)\).

03

Solve the equation \(Ax = b\)

The matrix \(\left[ {\begin{array}{*{20}{c}}A&b\end{array}} \right]\) is shown below

\(\left[ {\begin{array}{*{20}{c}}A&b\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}4&3&{ - 5}&2\\{ - 4}&{ - 5}&7&{ - 4}\\8&6&{ - 8}&6\end{array}} \right]\)

Perform an elementary row operation to produce the row-echelon form of the matrix.

At row two, multiply row one by 1 and add it to row two. At row three, multiply row one by 2 and subtract it from row three.

\( \sim \left[ {\begin{array}{*{20}{c}}4&3&{ - 5}&2\\0&{ - 2}&2&{ - 2}\\0&0&2&2\end{array}} \right]\)

Thus, the row reduction is the same as \(\left[ {\begin{array}{*{20}{c}}U&y\end{array}} \right]\), yielding the same result.

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Most popular questions from this chapter

In Exercises 1–9, assume that the matrices are partitioned conformably for block multiplication. In Exercises 5–8, find formulas for X, Y, and Zin terms of A, B, and C, and justify your calculations. In some cases, you may need to make assumptions about the size of a matrix in order to produce a formula. [Hint:Compute the product on the left, and set it equal to the right side.]

5. \[\left[ {\begin{array}{*{20}{c}}A&B\\C&{\bf{0}}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}I&{\bf{0}}\\X&Y\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{\bf{0}}&I\\Z&{\bf{0}}\end{array}} \right]\]

In Exercise 10 mark each statement True or False. Justify each answer.

10. a. A product of invertible \(n \times n\) matrices is invertible, and the inverse of the product of their inverses in the same order.

b. If A is invertible, then the inverse of \({A^{ - {\bf{1}}}}\) is A itself.

c. If \(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\) and \(ad = bc\), then A is not invertible.

d. If A can be row reduced to the identity matrix, then A must be invertible.

e. If A is invertible, then elementary row operations that reduce A to the identity \({I_n}\) also reduce \({A^{ - {\bf{1}}}}\) to \({I_n}\).

Describe in words what happens when you compute \({A^{\bf{5}}}\), \({A^{{\bf{10}}}}\), \({A^{{\bf{20}}}}\), and \({A^{{\bf{30}}}}\) for \(A = \left( {\begin{aligned}{*{20}{c}}{1/6}&{1/2}&{1/3}\\{1/2}&{1/4}&{1/4}\\{1/3}&{1/4}&{5/12}\end{aligned}} \right)\).

Explain why the columns of an \(n \times n\) matrix Aare linearly independent when Ais invertible.

Suppose \(\left( {B - C} \right)D = 0\), where Band Care \(m \times n\) matrices and \(D\) is invertible. Show that B = C.

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