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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.

5. \(A = \left[ {\begin{array}{*{20}{c}}1&{ - 2}&{ - 4}&{ - 3}\\2&{ - 7}&{ - 7}&{ - 6}\\{ - 1}&2&6&4\\{ - 4}&{ - 1}&9&8\end{array}} \right],{\mathop{\rm b}\nolimits} = \left[ {\begin{array}{*{20}{c}}1\\7\\0\\3\end{array}} \right]\)

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

Short Answer

Expert verified

\(x = \left( { - 2, - 1,2, - 3} \right)\) and \(y = \left[ {\begin{array}{*{20}{c}}1\\5\\1\\{ - 3}\end{array}} \right]\)

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

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

It is given that \[L = \left[ {\begin{array}{*{20}{c}}1&0&0&0\\2&1&0&0\\{ - 1}&0&1&0\\{ - 4}&3&{ - 5}&1\end{array}} \right],{\rm{ }}U = \,\left[ {\begin{array}{*{20}{c}}1&{ - 2}&{ - 4}&{ - 3}\\0&{ - 3}&1&0\\0&0&2&1\\0&0&0&1\end{array}} \right],{\rm{ }}b = \left[ {\begin{array}{*{20}{c}}1\\7\\0\\3\end{array}} \right]\].

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

\(\left[ {\begin{array}{*{20}{c}}L&b\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}1&0&0&0&1\\2&1&0&0&7\\{ - 1}&0&1&0&0\\{ - 4}&3&{ - 5}&1&3\end{array}} \right]\)

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

At row two, multiply row one by 2 and subtract it from row two. At row three, multiply row one by 1 and subtract it from row three. At row four, multiply row one by 4 and add it to row four.

\( \sim \left[ {\begin{array}{*{20}{c}}1&0&0&0&1\\0&1&0&0&5\\0&0&1&0&1\\0&3&{ - 5}&1&7\end{array}} \right]\)

At row four, multiply row two by 3 and subtract it from row four.

\( \sim \left[ {\begin{array}{*{20}{c}}1&0&0&0&1\\0&1&0&0&5\\0&0&1&0&1\\0&0&{ - 5}&1&{ - 8}\end{array}} \right]\)

At row four, multiply row three by 5 and add it to row four.

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

The arithmetic values take place only in column five.

Thus, \(y = \left[ {\begin{array}{*{20}{c}}1\\5\\1\\{ - 3}\end{array}} \right]\).

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:

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

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

At row three, multiply row four by 1 and subtract it from row three. At row one, multiply row four by 3 and add it to row one.

\( \sim \left[ {\begin{array}{*{20}{c}}1&{ - 2}&{ - 4}&0&{ - 8}\\0&{ - 3}&1&0&5\\0&0&2&0&4\\0&0&0&1&{ - 3}\end{array}} \right]\)

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

\( \sim \left[ {\begin{array}{*{20}{c}}1&{ - 2}&{ - 4}&0&{ - 8}\\0&{ - 3}&1&0&5\\0&0&1&0&2\\0&0&0&1&{ - 3}\end{array}} \right]\)

At row two, multiply row three by \( - 1\) and add it to row two. At row one, multiply row three by 4 and add it to row one.

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

At row two, multiply row two by \( - \frac{1}{3}\).

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

At row one, multiply row two by \(2\) and add it to row one.

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

Thus, \(x = \left( { - 2, - 1,2, - 3} \right)\).

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Most popular questions from this chapter

Use partitioned matrices to prove by induction that the product of two lower triangular matrices is also lower triangular. [Hint: \(A\left( {k + 1} \right) \times \left( {k + 1} \right)\) matrix \({A_1}\) can be written in the form below, where \[a\] is a scalar, v is in \({\mathbb{R}^k}\), and Ais a \(k \times k\) lower triangular matrix. See the study guide for help with induction.]

\({A_1} = \left[ {\begin{array}{*{20}{c}}a&{{0^T}}\\0&A\end{array}} \right]\).

A useful way to test new ideas in matrix algebra, or to make conjectures, is to make calculations with matrices selected at random. Checking a property for a few matrices does not prove that the property holds in general, but it makes the property more believable. Also, if the property is actually false, you may discover this when you make a few calculations.

36. Write the command(s) that will create a \(6 \times 4\) matrix with random entries. In what range of numbers do the entries lie? Tell how to create a \(3 \times 3\) matrix with random integer entries between \( - {\bf{9}}\) and 9. (Hint:If xis a random number such that 0 < x < 1, then \( - 9.5 < 19\left( {x - .5} \right) < 9.5\).

Prove Theorem 2(b) and 2(c). Use the row-column rule. The \(\left( {i,j} \right)\)- entry in \(A\left( {B + C} \right)\) can be written as \({a_{i1}}\left( {{b_{1j}} + {c_{1j}}} \right) + ... + {a_{in}}\left( {{b_{nj}} + {c_{nj}}} \right)\) or \(\sum\limits_{k = 1}^n {{a_{ik}}\left( {{b_{kj}} + {c_{kj}}} \right)} \).

a. Verify that \({A^2} = I\) when \(A = \left[ {\begin{array}{*{20}{c}}1&0\\3&{ - 1}\end{array}} \right]\).

b. Use partitioned matrices to show that \({M^2} = I\) when\(M = \left[ {\begin{array}{*{20}{c}}1&0&0&0\\3&{ - 1}&0&0\\1&0&{ - 1}&0\\0&1&{ - 3}&1\end{array}} \right]\).

In Exercises 1โ€“9, assume that the matrices are partitioned conformably for block multiplication. In Exercises 5โ€“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.]

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

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