If A, B, and X are \(n \times n\) invertible matrices, does the equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = {I_n}\) have a solution, X? If so, find it.

Short Answer

Expert verified

The equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = {I_n}\) has the solution \(X = CB - A\).

Step by step solution

01

Determine whether the equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = {I_n}\) has a solution

Let \(X\) satisfy the equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = I\).

\(\begin{aligned}{l}C{C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = I\\I\left( {A + X} \right){B^{ - 1}} = C\\\end{aligned}\)

Multiply both sides of the equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = I\) by \(C\):

\(\begin{aligned}{c}C{C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = CI\\I\left( {A + X} \right){B^{ - 1}} = C\\\end{aligned}\)

Multiply both sides of the obtained equation by \(B\):

\(\begin{aligned}{c}\left( {A + X} \right){B^{ - 1}}B = CB\\\left( {A + X} \right)I = CB\end{aligned}\)

Expand the left side, and then subtract A from both sides of the equation \(\left( {A + X} \right)I = CB\):

\(\begin{aligned}{l}AI + XI = CB\\A + X - A = CB - A\\X = CB - A\end{aligned}\)

If there exists a solution, it must be \(CB - A\).

02

Show that \(CB - A\) is a solution

Substitute \(X = CB - A\) in equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}}\):

\(\begin{aligned}{c}{C^{ - 1}}\left( {A + CB - A} \right){B^{ - 1}} = {C^{ - 1}}\left( {CB} \right){B^{ - 1}}\\ = {C^{ - 1}}CB{B^{ - 1}}\\ = II\\ = I\end{aligned}\)

Thus, the equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = {I_n}\) has a solution \(X = CB - A\).

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Most popular questions from this chapter

In Exercises 33 and 34, Tis a linear transformation from \({\mathbb{R}^2}\) into \({\mathbb{R}^2}\). Show that T is invertible and find a formula for \({T^{ - 1}}\).

33. \(T\left( {{x_1},{x_2}} \right) = \left( { - 5{x_1} + 9{x_2},4{x_1} - 7{x_2}} \right)\)

In Exercise 9 mark each statement True or False. Justify each answer.

9. a. In order for a matrix B to be the inverse of A, both equations \(AB = I\) and \(BA = I\) must be true.

b. If A and B are \(n \times n\) and invertible, then \({A^{ - {\bf{1}}}}{B^{ - {\bf{1}}}}\) is the inverse of \(AB\).

c. If \(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\) and \(ab - cd \ne {\bf{0}}\), then A is invertible.

d. If A is an invertible \(n \times n\) matrix, then the equation \(Ax = b\) is consistent for each b in \({\mathbb{R}^{\bf{n}}}\).

e. Each elementary matrix is invertible.

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

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b. Each column of ABis a linear combination of the columns of Busing weights from the corresponding column of A.

c. \(AB + AC = A\left( {B + C} \right)\)

d. \({A^T} + {B^T} = {\left( {A + B} \right)^T}\)

e. The transpose of a product of matrices equals the product of their transposes in the same order.

Suppose the last column of ABis entirely zero but Bitself has no column of zeros. What can you sayaboutthe columns of A?

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