Question 46: (M) If \(\det A\) is close to zero, is the matrix \(A\) nearly singular? Experiment with the nearly singular \(4 \times 4\) matrix

\(A = \left( {\begin{array}{*{20}{c}}4&0&{ - 7}&{ - 7}\\{ - 6}&1&{11}&9\\7&{ - 5}&{10}&{19}\\{ - 1}&2&3&{ - 1}\end{array}} \right)\)

Compute the determinants of \(A,10A,\)and\(0.1A\). In contrast, compute the condition numbers of these matrices. Repeat these calculation when \(A\) is the \(4 \times 4\) identity matrix. Discuss your results.

Short Answer

Expert verified

The determinants of \(A,10A\) and \(0.1A\) are \(1,\)\(10,000\), and \(0.0001\).

The condition number of matrices\(A,10A\) and \(0.1A\)is \(23683\).

Step by step solution

01

Compute the determinant of \(A,10A\) and \(0.1A\)

The \(\det A\) for this matrix is calculated as 1 and cond\(A \approx 23683\). Matrix \(A\) is not invertible because \(\det A \ne 0\).

Use the following MATLAB code to compute the inverse of matrix \(A\):

\(\begin{array}{l} > > {\mathop{\rm A}\nolimits} = \left( {4\,\,\,0\,\,\, - 7\,\,\, - 7;\,\, - 6\,\,\,1\,\,\,11\,\,\,9;\,\,7\,\,\, - 5\,\,\,10\,\,\,19;\, - 1\,\,\,2\,\,\,3\,\,\, - 1} \right)\\ > > {\mathop{\rm inv}\nolimits} \left( {\mathop{\rm A}\nolimits} \right)\end{array}\)

\({{\mathop{\rm A}\nolimits} ^{ - 1}} = \left( {\begin{array}{*{20}{c}}{ - 19}&{ - 14}&0&7\\{ - 549}&{ - 401}&{ - 2}&{196}\\{267}&{195}&1&{ - 95}\\{ - 278}&{ - 203}&{ - 1}&{99}\end{array}} \right)\)

The determinant is extremely sensitive to scale as \(\det 10A = {10^4}\det A = 10,000\), and \(\det 0.1A = {\left( {0.1} \right)^4}\det A = 0.0001\).

Thus, the determinants of \(A,10A\) and \(0.1A\)are \(1,\)\(10,000\), and \(0.0001\).

02

Compute the condition number of these matrices

Scaling does not change the condition number: \({\mathop{\rm cond}\nolimits} \left( {10A} \right) = {\mathop{\rm cond}\nolimits} \left( {0.1A} \right) = {\mathop{\rm cond}\nolimits} A\)\( \approx 23683\).

Thus, the condition number of matrices\(A,10A\) and \(0.1A\)is \(23683\).

03

Step 3:Establish \(A\) as the identity matrix

If \(A = {I_4}\), then \(\det A = 1\) and \({\mathop{\rm cond}\nolimits} A = 1\). The determinant is also sensitive to scaling as before the values were\(\det 10A = {10^4}\det A = 10,000\)and \(\det 0.1A = {\left( {0.1} \right)^4}\det A = 0.001\). However, scaling does not change the condition number: \({\mathop{\rm cond}\nolimits} \left( {10A} \right) = {\mathop{\rm cond}\nolimits} \left( {0.1A} \right) = {\mathop{\rm cond}\nolimits} A\)\( = 1\).

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Most popular questions from this chapter

In Exercises 24–26, use determinants to decide if the set of vectors is linearly independent.

24. \(\left( {\begin{aligned}{*{20}{c}}4\\6\\2\end{aligned}} \right)\), \(\left( {\begin{aligned}{*{20}{c}}{ - 7}\\0\\7\end{aligned}} \right)\), \(\left( {\begin{aligned}{*{20}{c}}{ - 3}\\{ - 5}\\{ - 2}\end{aligned}} \right)\)

The expansion of a \({\bf{3}} \times {\bf{3}}\) determinant can be remembered by the following device. Write a second type of the first two columns to the right of the matrix, and compute the determinant by multiplying entries on six diagonals.

atr

Add the downward diagonal products and subtract the upward products. Use this method to compute the determinants in Exercises 15-18. Warning: This trick does not generalize in any reasonable way to \({\bf{4}} \times {\bf{4}}\) or larger matrices.

\(\left| {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{3}}&{\bf{4}}\\{\bf{2}}&{\bf{3}}&{\bf{1}}\\{\bf{3}}&{\bf{3}}&{\bf{2}}\end{aligned}} \right|\)

Find the determinant in Exercise 18, where \(\left| {\begin{aligned}{*{20}{c}}{\bf{a}}&{\bf{b}}&{\bf{c}}\\{\bf{d}}&{\bf{e}}&{\bf{f}}\\{\bf{g}}&{\bf{h}}&{\bf{i}}\end{aligned}} \right| = {\bf{7}}\).

18. \(\left| {\begin{aligned}{*{20}{c}}{\bf{d}}&{\bf{e}}&{\bf{f}}\\{\bf{a}}&{\bf{b}}&{\bf{c}}\\{\bf{g}}&{\bf{h}}&{\bf{i}}\end{aligned}} \right|\)

Compute the determinant in Exercise 7 using a cofactor expansion across the first row.

7. \[\left| {\begin{array}{*{20}{c}}{\bf{4}}&{\bf{3}}&{\bf{0}}\\{\bf{6}}&{\bf{5}}&{\bf{2}}\\{\bf{9}}&{\bf{7}}&{\bf{3}}\end{array}} \right|\]

Is it true that \(det \left( {A + B} \right) = det A + det B\)? Experiment with four pairs of random matrices as in Exercise 44, and make a conjecture.

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