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The inverse of \(\left[ {\begin{array}{*{20}{c}}I&{\bf{0}}&{\bf{0}}\\C&I&{\bf{0}}\\A&B&I\end{array}} \right]\) is \(\left[ {\begin{array}{*{20}{c}}I&{\bf{0}}&{\bf{0}}\\Z&I&{\bf{0}}\\X&Y&I\end{array}} \right]\). Find X, Y, and Z.

Short Answer

Expert verified

The values are \(X = BC - A\), \[Y = - B\], and \[Z = - C\].

Step by step solution

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01

State the row-column rule

If the sum of the products of matching entries from row\(i\)of matrix A and column\(j\)of matrix B equals the item in row\(i\)and column\(j\)of AB, then it can be said that product AB is defined.

The product is\({\left( {AB} \right)_{ij}} = {a_{i1}}{b_{1j}} + {a_{i2}}{b_{2j}} + ... + {a_{in}}{b_{nj}}\).

Also, the product of matrix A with its inverse always gives theidentity matrix I.

02

Obtain the product

Compute the product of\(\left[ {\begin{array}{*{20}{c}}I&0&0\\C&I&0\\A&B&I\end{array}} \right]\)with\(\left[ {\begin{array}{*{20}{c}}I&0&0\\Z&I&0\\X&Y&I\end{array}} \right]\) to get theidentity matrix\(\left[ {\begin{array}{*{20}{c}}1&0&0\\0&1&0\\0&0&1\end{array}} \right]\).

\(\begin{array}{c}\left[ {\begin{array}{*{20}{c}}I&0&0\\C&I&0\\A&B&I\end{array}} \right]\left[ {\begin{array}{*{20}{c}}I&0&0\\Z&I&0\\X&Y&I\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&0&0\\0&I&0\\0&0&I\end{array}} \right]\\\left[ {\begin{array}{*{20}{c}}{I\left( I \right) + 0\left( Z \right) + 0\left( X \right)}&{I\left( 0 \right) + 0\left( I \right) + 0\left( Y \right)}&{I\left( 0 \right) + 0\left( 0 \right) + 0\left( I \right)}\\{C\left( I \right) + I\left( Z \right) + 0\left( X \right)}&{C\left( 0 \right) + I\left( I \right) + 0\left( Y \right)}&{C\left( 0 \right) + I\left( 0 \right) + 0\left( I \right)}\\{A\left( I \right) + B\left( Z \right) + I\left( X \right)}&{A\left( 0 \right) + B\left( I \right) + I\left( Y \right)}&{A\left( 0 \right) + B\left( 0 \right) + I\left( I \right)}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&0&0\\0&I&0\\0&0&I\end{array}} \right]\\\left[ {\begin{array}{*{20}{c}}I&0&0\\{C + Z}&I&0\\{A + BZ + X}&{B + Y}&I\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&0&0\\0&I&0\\0&0&I\end{array}} \right]\end{array}\)

Thus, \(\left[ {\begin{array}{*{20}{c}}I&0&0\\{C + Z}&I&0\\{A + BZ + X}&{B + Y}&I\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&0&0\\0&I&0\\0&0&I\end{array}} \right]\).

03

Equate both the sides

Equate both the matrices, as shown below:

\(\left[ {\begin{array}{*{20}{c}}I&0&0\\{C + Z}&I&0\\{A + BZ + X}&{B + Y}&I\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&0&0\\0&I&0\\0&0&I\end{array}} \right]\)

By comparing, the formulas obtained are shown below:

\[\begin{array}{c}C + Z = 0\\Z = - C\end{array}\]

And

\[\begin{array}{c}B + Y = 0\\Y = - B\end{array}\]

And

\(\begin{array}{c}A + BZ + X = 0\\A + B\left( { - C} \right) + X = 0\\A - BC + X = 0\\X = BC - A\end{array}\)

Therefore, the values are \(X = BC - A\), \[Y = - B\], and \[Z = - C\].

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Most popular questions from this chapter

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.

Compute \(A - {\bf{5}}{I_{\bf{3}}}\) and \(\left( {{\bf{5}}{I_{\bf{3}}}} \right)A\)

\(A = \left( {\begin{aligned}{*{20}{c}}{\bf{9}}&{ - {\bf{1}}}&{\bf{3}}\\{ - {\bf{8}}}&{\bf{7}}&{ - {\bf{6}}}\\{ - {\bf{4}}}&{\bf{1}}&{\bf{8}}\end{aligned}} \right)\)

Prove Theorem 2(d). (Hint: The \(\left( {i,j} \right)\)- entry in \(\left( {rA} \right)B\) is \(\left( {r{a_{i1}}} \right){b_{1j}} + ... + \left( {r{a_{in}}} \right){b_{nj}}\).)

Suppose \(AD = {I_m}\) (the \(m \times m\) identity matrix). Show that for any b in \({\mathbb{R}^m}\), the equation \(A{\mathop{\rm x}\nolimits} = {\mathop{\rm b}\nolimits} \) has a solution. (Hint: Think about the equation \(AD{\mathop{\rm b}\nolimits} = {\mathop{\rm b}\nolimits} \).) Explain why Acannot have more rows than columns.

In exercises 11 and 12, mark each statement True or False. Justify each answer.

a. The definition of the matrix-vector product \(A{\bf{x}}\) is a special case of block multiplication.

b. If \({A_{\bf{1}}}\), \({A_{\bf{2}}}\), \({B_{\bf{1}}}\), and \({B_{\bf{2}}}\) are \(n \times n\) matrices, \[A = \left[ {\begin{array}{*{20}{c}}{{A_{\bf{1}}}}\\{{A_{\bf{2}}}}\end{array}} \right]\] and \(B = \left[ {\begin{array}{*{20}{c}}{{B_{\bf{1}}}}&{{B_{\bf{2}}}}\end{array}} \right]\), then the product \(BA\) is defined, but \(AB\) is not.

A useful way to test new ideas in matrix algebra, or to make conjectures, is to make calculations with matrices selected at random. Checking a property for a few matrices does not prove that the property holds in general, but it makes the property more believable. Also, if the property is actually false, you may discover this when you make a few calculations.

36. Write the command(s) that will create a \(6 \times 4\) matrix with random entries. In what range of numbers do the entries lie? Tell how to create a \(3 \times 3\) matrix with random integer entries between \( - {\bf{9}}\) and 9. (Hint:If xis a random number such that 0 < x < 1, then \( - 9.5 < 19\left( {x - .5} \right) < 9.5\).

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