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[M] Let \({A_n}\) be the \(n \times n\) matrix with 0’s on the main diagonal and 1’s elsewhere. Compute \(A_n^{ - 1}\) for \(n = 4,5\), and 6, and make a conjecture about the general form of \(A_n^{ - 1}\) for larger values of \(n\).

Short Answer

Expert verified

The conjecture about the general form of \(A_n^{ - 1}\) is \({A_n} = J - {I_n}\) and \(A_n^{ - 1} = \frac{1}{{n - 1}} \cdot J - {I_n}\).

Step by step solution

01

Determine \[{A_4},{A_5},{A_6}\]

Use the MATLAB code to compute \[A_4^{ - 1},A_5^{ - 1},A_6^{ - 1}\] as shown below:

\( > > {\mathop{\rm A}\nolimits} 4 = {\mathop{\rm ones}\nolimits} \left( 4 \right) - {\mathop{\rm eye}\nolimits} \left( 4 \right)\)

\({A_4} = \left[ {\begin{aligned}{*{20}{c}}0&1&1&1\\1&0&1&1\\1&1&0&1\\1&1&1&0\end{aligned}} \right]\)

\( > > {\mathop{\rm A}\nolimits} 5 = {\mathop{\rm ones}\nolimits} \left( 5 \right) - {\mathop{\rm eye}\nolimits} \left( 5 \right)\)

\({A_5} = \left[ {\begin{aligned}{*{20}{c}}0&1&1&1&1\\1&0&1&1&1\\1&1&0&1&1\\1&1&1&0&1\\1&1&1&1&0\end{aligned}} \right]\)

\( > > {\mathop{\rm A}\nolimits} 6 = {\mathop{\rm ones}\nolimits} \left( 6 \right) - {\mathop{\rm eye}\nolimits} \left( 6 \right)\)

\({A_6} = \left[ {\begin{aligned}{*{20}{c}}0&1&1&1&1&1\\1&0&1&1&1&1\\1&1&0&1&1&1\\1&1&1&0&1&1\\1&1&1&1&0&1\\1&1&1&1&1&0\end{aligned}} \right]\)

02

Determine the inverse of \[{A_4},{A_5},{A_6}\]

Use the MATLAB code to compute the inverse of \[{A_4},{A_5},{A_6}\] as shown below:

\( > > {\mathop{\rm inv}\nolimits} \left( {{\mathop{\rm A}\nolimits} 4} \right)\)

\(A_4^{ - 1} = \left[ {\begin{aligned}{*{20}{c}}{\frac{{ - 2}}{3}}&{\frac{1}{3}}&{\frac{1}{3}}&{\frac{1}{3}}\\{\frac{1}{3}}&{\frac{{ - 2}}{3}}&{\frac{1}{3}}&{\frac{1}{3}}\\{\frac{1}{3}}&{\frac{1}{3}}&{\frac{{ - 2}}{3}}&{\frac{1}{3}}\\{\frac{1}{3}}&{\frac{1}{3}}&{\frac{1}{3}}&{\frac{{ - 2}}{3}}\end{aligned}} \right]\)

\( > > {\mathop{\rm inv}\nolimits} \left( {{\mathop{\rm A}\nolimits} 5} \right)\)

\(A_5^{ - 1} = \left[ {\begin{aligned}{*{20}{c}}{\frac{{ - 3}}{4}}&{\frac{1}{4}}&{\frac{1}{4}}&{\frac{1}{4}}&{\frac{1}{4}}\\{\frac{1}{4}}&{\frac{{ - 3}}{4}}&{\frac{1}{4}}&{\frac{1}{4}}&{\frac{1}{4}}\\{\frac{1}{4}}&{\frac{1}{4}}&{\frac{{ - 3}}{4}}&{\frac{1}{4}}&{\frac{1}{4}}\\{\frac{1}{4}}&{\frac{1}{4}}&{\frac{1}{4}}&{\frac{{ - 3}}{4}}&{\frac{1}{4}}\\{\frac{1}{4}}&{\frac{1}{4}}&{\frac{1}{4}}&{\frac{1}{4}}&{\frac{{ - 3}}{4}}\end{aligned}} \right]\)

\( > > {\mathop{\rm inv}\nolimits} \left( {{\mathop{\rm A}\nolimits} 6} \right)\)

\[A_6^{ - 1} = \left[ {\begin{aligned}{*{20}{c}}{\frac{{ - 4}}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}\\{\frac{1}{5}}&{\frac{{ - 4}}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}\\{\frac{1}{5}}&{\frac{1}{5}}&{\frac{{ - 4}}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}\\{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{{ - 4}}{5}}&{\frac{1}{5}}&{\frac{1}{5}}\\{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{{ - 4}}{5}}&{\frac{1}{5}}\\{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{1}{5}}&{\frac{{ - 4}}{5}}\end{aligned}} \right]\]

03

Make a conjecture about the general form of \(A_n^{ - 1}\)

According to the construction of \({A_6}\) and the appearance of its inverse, the inverse is related to \({I_6}\). Moreover, \(A_6^{ - 1} + {I_6}\) is \(\frac{1}{5}\) times the \(6 \times 6\) matrix of ones.

Suppose \(J\) represents the \(n \times n\) matrix of ones. Then, the conjecture is \({A_n} = J - {I_n}\) and \(A_n^{ - 1} = \frac{1}{{n - 1}} \cdot J - {I_n}\).

Thus, the conjecture about the general form of \(A_n^{ - 1}\) is \({A_n} = J - {I_n}\) and \(A_n^{ - 1} = \frac{1}{{n - 1}} \cdot J - {I_n}\).

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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.

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

Show that block upper triangular matrix \(A\) in Example 5is invertible if and only if both \({A_{{\bf{11}}}}\) and \({A_{{\bf{12}}}}\) are invertible. [Hint: If \({A_{{\bf{11}}}}\) and \({A_{{\bf{12}}}}\) are invertible, the formula for \({A^{ - {\bf{1}}}}\) given in Example 5 actually works as the inverse of \(A\).] This fact about \(A\) is an important part of several computer algorithims that estimates eigenvalues of matrices. Eigenvalues are discussed in chapter 5.

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.

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}&{\bf{5}}\\{ - {\bf{3}}}&{\bf{1}}\end{aligned}} \right)\) and \(B = \left( {\begin{aligned}{*{20}{c}}{\bf{4}}&{ - {\bf{5}}}\\{\bf{3}}&k\end{aligned}} \right)\). What value(s) of \(k\), if any will make \(AB = BA\)?

Suppose block matrix \(A\) on the left side of (7) is invertible and \({A_{{\bf{11}}}}\) is invertible. Show that the Schur component \(S\) of \({A_{{\bf{11}}}}\) is invertible. [Hint: The outside factors on the right side of (7) are always invertible. Verify this.] When \(A\) and \({A_{{\bf{11}}}}\) are invertible, (7) leads to a formula for \({A^{ - {\bf{1}}}}\), using \({S^{ - {\bf{1}}}}\) \(A_{{\bf{11}}}^{ - {\bf{1}}}\), and the other entries in \(A\).

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