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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

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

If \(A = \left( {\begin{aligned}{*{20}{c}}1&{ - 2}\\{ - 2}&5\end{aligned}} \right)\) and \(AB = \left( {\begin{aligned}{*{20}{c}}{ - 1}&2&{ - 1}\\6&{ - 9}&3\end{aligned}} \right)\), determine the first and second column of B.

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{2}}\\{\bf{5}}&{{\bf{12}}}\end{aligned}} \right),{b_{\bf{1}}} = \left( {\begin{aligned}{*{20}{c}}{ - {\bf{1}}}\\{\bf{3}}\end{aligned}} \right),{b_{\bf{2}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}\\{ - {\bf{5}}}\end{aligned}} \right),{b_{\bf{3}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}\\{\bf{6}}\end{aligned}} \right),\) and \({b_{\bf{4}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{3}}\\{\bf{5}}\end{aligned}} \right)\).

  1. Find \({A^{ - {\bf{1}}}}\), and use it to solve the four equations \(Ax = {b_{\bf{1}}},\)\(Ax = {b_2},\)\(Ax = {b_{\bf{3}}},\)\(Ax = {b_{\bf{4}}}\)\(\)
  2. The four equations in part (a) can be solved by the same set of row operations, since the coefficient matrix is the same in each case. Solve the four equations in part (a) by row reducing the augmented matrix \(\left( {\begin{aligned}{*{20}{c}}A&{{b_{\bf{1}}}}&{{b_{\bf{2}}}}&{{b_{\bf{3}}}}&{{b_{\bf{4}}}}\end{aligned}} \right)\).

If Ais an \(n \times n\) matrix and the transformation \({\bf{x}}| \to A{\bf{x}}\) is one-to-one, what else can you say about this transformation? Justify your answer.

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

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