Find an LU factorization of the matrices in Exercise 7-16 (with L unit lower triangular). Note that MATLAB will usually produce a permuted LU factorization because it uses partial pivoting for numerical accuracy.

\[\left[ {\begin{array}{*{20}{c}}{\bf{3}}&{ - {\bf{6}}}&{\bf{3}}\\{\bf{6}}&{ - {\bf{7}}}&{\bf{2}}\\{ - {\bf{1}}}&{\bf{7}}&{\bf{0}}\end{array}} \right]\]

Short Answer

Expert verified

\(\left[ {\begin{array}{*{20}{c}}1&0&0\\2&1&0\\{ - \frac{1}{3}}&1&1\end{array}} \right]\left[ {\begin{array}{*{20}{c}}3&{ - 6}&3\\0&5&{ - 4}\\0&0&5\end{array}} \right]\)

Step by step solution

01

Apply the row operation in the given matrix

Let \(A = \left[ {\begin{array}{*{20}{c}}3&{ - 6}&3\\6&{ - 7}&2\\{ - 1}&7&0\end{array}} \right]\).

Apply the row operation to reduce the matrix into the upper triangular matrix.

At row 3, divide row 1 by 3 and add it to row 1, i.e., \({R_3} \to {R_3} + \frac{1}{3}{R_1}\).

\(\left[ {\begin{array}{*{20}{c}}3&{ - 6}&3\\6&{ - 7}&2\\0&5&1\end{array}} \right]\)

At row 2, multiply row 1 with 2 and subtract it from row 2, i.e., \({R_2} \to {R_2} - 2{R_1}\).

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

02

Apply the row operation in the given matrix

At row 3, subtract row 3 from row 2, i.e., \({R_3} \to {R_3} - {R_2}\).

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

03

Calculate matrix L using the pivoted column of U

Using matrix \(A\), matrix Lcan be written as shown below:

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

Divide column 1 by 3, column 2 by 5, and column 3 by 5.

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

04

Write the product \(LU\)

The product of the lower and upper triangular matrixis

\(LU = \left[ {\begin{array}{*{20}{c}}1&0&0\\2&1&0\\{ - \frac{1}{3}}&1&1\end{array}} \right]\left[ {\begin{array}{*{20}{c}}3&{ - 6}&3\\0&5&{ - 4}\\0&0&5\end{array}} \right]\).

So, the product \(LU\) is \(\left[ {\begin{array}{*{20}{c}}1&0&0\\2&1&0\\{ - \frac{1}{3}}&1&1\end{array}} \right]\left[ {\begin{array}{*{20}{c}}3&{ - 6}&3\\0&5&{ - 4}\\0&0&5\end{array}} \right]\).

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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.]

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

Suppose Ais an \(m \times n\) matrix and there exist \(n \times m\) matrices C and D such that \(CA = {I_n}\) and \(AD = {I_m}\). Prove that \(m = n\) and \(C = D\). (Hint: Think about the product CAD.)

Use partitioned matrices to prove by induction that for \(n = 2,3,...\), the \(n \times n\) matrices \(A\) shown below is invertible and \(B\) is its inverse.

\[A = \left[ {\begin{array}{*{20}{c}}1&0&0& \cdots &0\\1&1&0&{}&0\\1&1&1&{}&0\\ \vdots &{}&{}& \ddots &{}\\1&1&1& \ldots &1\end{array}} \right]\]

\[B = \left[ {\begin{array}{*{20}{c}}1&0&0& \cdots &0\\{ - 1}&1&0&{}&0\\0&{ - 1}&1&{}&0\\ \vdots &{}& \ddots & \ddots &{}\\0&{}& \ldots &{ - 1}&1\end{array}} \right]\]

For the induction step, assume A and Bare \(\left( {k + 1} \right) \times \left( {k + 1} \right)\) matrices, and partition Aand B in a form similar to that displayed in Exercises 23.

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 \({I_n}\).

Let \({{\bf{r}}_1} \ldots ,{{\bf{r}}_p}\) be vectors in \({\mathbb{R}^{\bf{n}}}\), and let Qbe an\(m \times n\)matrix. Write the matrix\(\left( {\begin{aligned}{*{20}{c}}{Q{{\bf{r}}_1}}& \cdots &{Q{{\bf{r}}_p}}\end{aligned}} \right)\)as a productof two matrices (neither of which is an identity matrix).

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