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Question: In Exercises 31–36, mention an appropriate theorem in your explanation.

34. Let A and P be square matrices, with P invertible. Show that \(det\left( {PA{P^{ - {\bf{1}}}}} \right) = det{\rm{ }}A\).

Short Answer

Expert verified

It is proved that \(\det \left( {PA{P^{ - 1}}} \right) = \det {\rm{ }}A\).

Step by step solution

01

Write the multiplicative property

According totheorem 6 of themultiplicative property, if A andB are square matrices, then thedeterminant of the product matrix AB is equal to the product of the determinant of A and the determinant of B.

\(\det AB = \left( {\det A} \right)\left( {\det B} \right)\)

02

Prove the statement

As P is invertible, its determinant cannot be 0.

Apply the multiplicative propertyon the left side of the equation \(\det \left( {PA{P^{ - 1}}} \right) = \det {\rm{ }}A\)by substituting \(A = P\)and \(B = A{P^{ - 1}}\), as shown below:

\(\det \left( {P\left( {A{P^{ - 1}}} \right)} \right) = \det \left( P \right)\det \left( {A{P^{ - 1}}} \right)\)

Again, apply the property by using\(B = {P^{ - 1}}\).

\(\begin{aligned}{}\det \left( {P\left( {A{P^{ - 1}}} \right)} \right) &= \det \left( P \right)\det \left( {A\left( {{P^{ - 1}}} \right)} \right)\\ &= \det \left( P \right)\det \left( A \right)\det \left( {{P^{ - 1}}} \right)\\ &= \det \left( P \right)\det \left( {{P^{ - 1}}} \right)\det \left( A \right)\end{aligned}\)

Since P is invertible, use the property \(\det {P^{ - 1}} = \frac{1}{{\det P}}\), as shown below:

\(\begin{aligned}{}\det \left( {PA{P^{ - 1}}} \right) &= \det \left( P \right)\det \left( {{P^{ - 1}}} \right)\det \left( A \right)\\ &= \det \left( P \right)\left( {\frac{1}{{\det P}}} \right)\det \left( A \right)\\ &= \det \left( A \right)\end{aligned}\)

Hence, it is proved that \(\det \left( {PA{P^{ - 1}}} \right) = \det {\rm{ }}A\).

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Most popular questions from this chapter

Use Theorem 3 (but not Theorem 4) to show that if two rows of a square matrix A are equal, then \(det A = 0\). The same is true for twocolumns. Why?

In Exercises 27 and 28, A and B are \[n \times n\] matrices. Mark each statement True or False. Justify each answer.

27. a. A row replacement operation does not affect the determinant of a matrix.

b. The determinant of A is the product of the pivots in any echelon form U of A, multiplied by \({\left( { - {\bf{1}}} \right)^r}\), where r is the number of row interchanges made during row reduction from A to U.

c. If the columns of A are linearly dependent, then \(det\left( A \right) = 0\).

d. \(det\left( {A + B} \right) = det{\rm{ }}A + det{\rm{ }}B\).

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.

In Exercise 19-24, explore the effect of an elementary row operation on the determinant of a matrix. In each case, state the row operation and describe how it affects the determinant.

\(\left[ {\begin{array}{*{20}{c}}a&b&c\\{\bf{3}}&{\bf{2}}&{\bf{1}}\\{\bf{4}}&{\bf{5}}&{\bf{6}}\end{array}} \right],\left[ {\begin{array}{*{20}{c}}{\bf{3}}&{\bf{2}}&{\bf{1}}\\a&b&c\\{\bf{4}}&{\bf{5}}&{\bf{6}}\end{array}} \right]\)

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

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