Let Abe an invertible \(n \times n\) matrix, and let B be an \(n \times p\) matrix. Show that the equation \(AX = B\) has a unique solution \({A^{ - 1}}B\).

Short Answer

Expert verified

It is proved that the equation \(AX = B\) has a unique solution \({A^{ - 1}}B\).

Step by step solution

01

A be an invertible \(n \times n\) matrix

Theorem 5states that Ais an invertible \(n \times n\) matrix, then for each b in \({\mathbb{R}^n}\), the equation \(Ax = b\) has a unique solution \(x = {A^{ - 1}}b\).

It is given that \(B\) is a \(n \times p\) matrix (it is arbitrary). The matrix \({A^{ - 1}}B\) satisfies the equation \(AX = B\)because Ais invertible. Hence,

\(\begin{aligned}{c}A\left( {{A^{ - 1}}B} \right) = \left( {A{A^{ - 1}}} \right)B\\ = IB\\ = B\end{aligned}\)

02

Show that the equation AX = B has a unique solution

Consider \(X\) to be any solution of the equation \(AX = B\)to demonstrate that the solution is unique.

Multiply each side of the equation \(AX = B\) by \({A^{ - 1}}\) to show that \(X\) must be \({A^{ - 1}}B\):

\(\begin{aligned}{c}{A^{ - 1}}\left( {AX} \right) = {A^{ - 1}}B\\\left( {{A^{ - 1}}A} \right)X = {A^{ - 1}}B\\IX = {A^{ - 1}}B\\X = {A^{ - 1}}B\end{aligned}\)

Hence, it is proved that the equation \(AX = B\) has a unique solution \({A^{ - 1}}B\).

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Most popular questions from this chapter

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 \(\sum\limits_{k = 1}^n {{a_{ik}}\left( {{b_{kj}} + {c_{kj}}} \right)} \).

Suppose AB = AC, where Band Care \(n \times p\) matrices and A is invertible. Show that B = C. Is this true, in general, when A is not invertible.

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 \(\left( {{\bf{3}}{I_{\bf{2}}}} \right)A\).

[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.]

Assume \(A - s{I_n}\) is invertible and view (8) as a system of two matrix equations. Solve the top equation for \({\bf{x}}\) and substitute into the bottom equation. The result is an equation of the form \(W\left( s \right){\bf{u}} = {\bf{y}}\), where \(W\left( s \right)\) is a matrix that depends upon \(s\). \(W\left( s \right)\) is called the transfer function of the system because it transforms the input \({\bf{u}}\) into the output \({\bf{y}}\). Find \(W\left( s \right)\) and describe how it is related to the partitioned system matrix on the left side of (8). See Exercise 15.

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