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Question: 16. Let J be the \(n \times n\)matrix of all 1’s, and consider\(A = \left( {a - b} \right)I + bJ\); that is,

\(A = \left( {\begin{array}{*{20}{c}}a&b&b& \cdots &b\\b&a&b& \cdots &b\\b&b&a& \cdots &b\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&b&b& \cdots &a\end{array}} \right)\)

Confirm that \(det\,A = {\left( {a - b} \right)^{n - {\bf{1}}}}\left( {a + \left( {n - {\bf{1}}} \right)b} \right)\) as follows:

  1. Subtract row 2 from row 1, row 3 from row 2, and so on, and explain why this not change the determinant of the matrix.
  2. With the resulting matrix from part (a), add column 1 to column 2, then add this new column 2 to column 3, and so on, and explain why this does not change the determinant.
  3. Find the determinant of the resulting matrix from (b)

Short Answer

Expert verified
  1. Since row replacement operations do not change the determinant, hence, \(\det A = \det \left( {\begin{array}{*{20}{c}}{a - b}&{b - a}&0& \cdots &0\\0&{a - b}&{b - a}& \cdots &0\\0&0&{a - b}& \cdots &0\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&b&b& \cdots &a\end{array}} \right)\)
  1. Since \(\det A = \det {A^T}\), so the column replacement operations in \(A\) are equivalent to the row replacement operations in \({A^T}\). So, the column replacement operation does not change the determinant. Therefore, \(\det A = \det \left( {\begin{array}{*{20}{c}}{a - b}&0&0& \cdots &0\\0&{a - b}&0& \cdots &0\\0&0&{a - b}& \cdots &0\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&{2b}&{3b}& \cdots &{a + \left( {n - 1} \right)b}\end{array}} \right)\)
  1. \(\det A = {\left( {a - b} \right)^{n - 1}}\left( {a + \left( {n - 1} \right)b} \right)\)

Step by step solution

01

Do the given operations in part (a)

(a)

From the given matrix,

\(\det A = \det \left( {\begin{array}{*{20}{c}}a&b&b& \cdots &b\\b&a&b& \cdots &b\\b&b&a& \cdots &b\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&b&b& \cdots &a\end{array}} \right)\)

At row 1, subtract row 2 from row 1; at row 2, subtract row 3 from row 2, and so on. These are row replacement operations. Hence, these do not change the determinant of the matrix. Thus,

\(\det A = \det \left( {\begin{array}{*{20}{c}}{a - b}&{b - a}&0& \cdots &0\\0&{a - b}&{b - a}& \cdots &0\\0&0&{a - b}& \cdots &0\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&b&b& \cdots &a\end{array}} \right)\)

02

Continue from part (a)

(b)

Since \(\det A = \det {A^T}\), so the column replacement operations in \(A\) are equivalent to the row replacement operations in \({A^T}\). Hence, this does not change the determinant. In the resulting matrix from part (a), at column 2, add column 1 to column 2 to obtain:

\(\det A = \det \left( {\begin{array}{*{20}{c}}{a - b}&0&0& \cdots &0\\0&{a - b}&{b - a}& \cdots &0\\0&0&{a - b}& \cdots &0\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&{2b}&b& \cdots &a\end{array}} \right)\)

Now, at column 3, add column 2 to column 3 to obtain:

\(\det A = \det \left( {\begin{array}{*{20}{c}}{a - b}&0&0& \cdots &0\\0&{a - b}&0& \cdots &0\\0&0&{a - b}& \cdots &0\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&{2b}&{3b}& \cdots &a\end{array}} \right)\)

Continue this process to obtain:

\(\det A = \det \left( {\begin{array}{*{20}{c}}{a - b}&0&0& \cdots &0\\0&{a - b}&0& \cdots &0\\0&0&{a - b}& \cdots &0\\ \vdots & \vdots & \vdots & \ddots & \vdots \\b&{2b}&{3b}& \cdots &{a + \left( {n - 1} \right)b}\end{array}} \right)\)

03

Find the determinant of the resulting matrix from (b)

Note that the resulting matrix from part (b) is a triangular matrix. Hence, its determinant is given by the product of its diagonal entries. Therefore,

\(\begin{array}{c}\det A = \left( {a - b} \right)\left( {a - b} \right)\left( {a - b} \right) \cdots \left( {a - b} \right)\left( {a + \left( {n - 1} \right)b} \right)\\ = {\left( {a - b} \right)^{n - 1}}\left( {a + \left( {n - 1} \right)b} \right)\end{array}\)

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Most popular questions from this chapter

Let \(u = \left[ {\begin{array}{*{20}{c}}3\\0\end{array}} \right]\), and \(v = \left[ {\begin{array}{*{20}{c}}1\\2\end{array}} \right]\). Compute the area of the parallelogram

determined by u, v, \({\bf{u}} + {\bf{v}}\), and 0, and compute the determinant of \(\left[ {\begin{array}{*{20}{c}}{\bf{u}}&{\bf{v}}\end{array}} \right]\). How do they compare? Replace the first entry of v by an arbitrary number x, and repeat the problem. Draw a picture and explain what you find.

Question: In Exercise 11, compute the adjugate of the given matrix, and then use Theorem 8 to give the inverse of the matrix.

11. \(\left( {\begin{array}{*{20}{c}}{\bf{0}}&{ - {\bf{2}}}&{ - {\bf{1}}}\\{\bf{5}}&{\bf{0}}&{\bf{0}}\\{ - {\bf{1}}}&{\bf{1}}&{\bf{1}}\end{array}} \right)\)

Compute the determinant in Exercise 10 by cofactor expansions. At each step, choose a row or column that involves the least amount of computation.

10. \(\left| {\begin{array}{*{20}{c}}{\bf{1}}&{ - {\bf{2}}}&{\bf{5}}&{\bf{2}}\\{\bf{0}}&{\bf{0}}&{\bf{3}}&{\bf{0}}\\{\bf{2}}&{ - {\bf{4}}}&{ - {\bf{3}}}&{\bf{5}}\\{\bf{2}}&{\bf{0}}&{\bf{3}}&{\bf{5}}\end{array}} \right|\)

Construct a random \({\bf{4}} \times {\bf{4}}\) matrix A with integer entries between \( - {\bf{9}}\) and 9. How is \(det {A^{ - 1}}\) related to \(det A\)? Experiment with random \({\bf{n}} \times {\bf{n}}\) integer matrices for \(n = 4\), 5, and 6, and make a conjecture. Note:In the unlikely event that you encounter a matrix with a zero determinant, reduce

it to echelon form and discuss what you find.

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.

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.

\(\left| {\begin{aligned}{*{20}{c}}{\bf{0}}&{\bf{3}}&{\bf{1}}\\{\bf{4}}&{ - {\bf{5}}}&{\bf{0}}\\{\bf{3}}&{\bf{4}}&{\bf{1}}\end{aligned}} \right|\)

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