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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.]

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

Short Answer

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It is proved that by induction, the product of two lower triangular matrices is also lower triangular.

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01

Show the product of two lower triangular matrices

It is given that the product of two \(1 \times 1\) lower triangular matrices is lower triangular.

Suppose for \({\mathop{\rm n}\nolimits} = k\), the product of two \(k \times k\) lower triangular matrices is also lower triangular and take \({A_1}\) and \({B_1}\)as \(\left( {k + 1} \right) \times \left( {k + 1} \right)\) matrices. The partition matrices are in the form

\({A_1} = \left[ {\begin{array}{*{20}{c}}a&{{0^T}}\\0&A\end{array}} \right],{B_1} = \left[ {\begin{array}{*{20}{c}}b&{{0^T}}\\0&A\end{array}} \right]\).

Here v and w are in \({\mathbb{R}^k}\); \(A\) and B are \(k \times k\) lower triangular matrices, and \(a\), \(b\) are scalars.

02

Show by induction that the product of two lower triangular matrices is lower triangular

\(A\)and \(B\) must be lower triangular matrices since \({A_1}\) and \({B_1}\) are lower triangular.

\(\begin{array}{c}{A_1}{B_1} = \left[ {\begin{array}{*{20}{c}}a&{{0^T}}\\{\mathop{\rm v}\nolimits} &B\end{array}} \right]\left[ {\begin{array}{*{20}{c}}b&{{0^T}}\\{\mathop{\rm v}\nolimits} &B\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{ab + {0^T}{\mathop{\rm w}\nolimits} }&{a{0^T} + {0^T}B}\\{{\mathop{\rm v}\nolimits} b + A{\mathop{\rm w}\nolimits} }&{{\mathop{\rm v}\nolimits} {0^T} + AB}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{ab}&{{0^T}}\\{b{\mathop{\rm v}\nolimits} + A{\mathop{\rm w}\nolimits} }&{AB}\end{array}} \right]\end{array}\)

ABis a lower triangular matrix because A and B are \(k \times k\) lower triangular matrices. The form \({A_1}{B_1}\) also indicates lower triangular. Therefore, the statement that lower triangular matrices hold for \(n = k + 1\) is true when \(n = k\).

According to the principle of induction, the statement is true for all \(n \ge 1\).

Thus, it is proved that by induction, the product of two lower triangular matrices is also lower triangular.

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Most popular questions from this chapter

Show that if the columns of Bare linearly dependent, then so are the columns of AB.

In the rest of this exercise set and in those to follow, you should assume that each matrix expression is defined. That is, the sizes of the matrices (and vectors) involved match appropriately.

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{4}}&{ - {\bf{1}}}\\{\bf{5}}&{ - {\bf{2}}}\end{aligned}} \right)\). Compute \({\bf{3}}{I_{\bf{2}}} - A\) and \(\left( {{\bf{3}}{I_{\bf{2}}}} \right)A\).

If Ais an \(n \times n\) matrix and the equation \(A{\bf{x}} = {\bf{b}}\) has more than one solution for some b, then the transformation \({\bf{x}}| \to A{\bf{x}}\) is not one-to-one. What else can you say about this transformation? Justify your answer.

[M] Suppose memory or size restrictions prevent your matrix program from working with matrices having more than 32 rows and 32 columns, and suppose some project involves \(50 \times 50\) matrices A and B. Describe the commands or operations of your program that accomplish the following tasks.

a. Compute \(A + B\)

b. Compute \(AB\)

c. Solve \(Ax = b\) for some vector b in \({\mathbb{R}^{50}}\), assuming that \(A\) can be partitioned into a \(2 \times 2\) block matrix \(\left[ {{A_{ij}}} \right]\), with \({A_{11}}\) an invertible \(20 \times 20\) matrix, \({A_{22}}\) an invertible \(30 \times 30\) matrix, and \({A_{12}}\) a zero matrix. [Hint: Describe appropriate smaller systems to solve, without using any matrix inverse.]

In Exercises 1–9, assume that the matrices are partitioned conformably for block multiplication. Compute the products shown in Exercises 1–4.

3. \[\left[ {\begin{array}{*{20}{c}}{\bf{0}}&I\\I&{\bf{0}}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}W&X\\Y&Z\end{array}} \right]\]

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