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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?

Short Answer

Expert verified

It is proved thatif two rows or columns of asquare matrixA are equal, then \(\det A = 0\).

Step by step solution

01

State the determinant of the matrix

According totheorem 3,if an interchange operation between any two rows in matrix A gives a new matrix B, \(\det {\rm{ }}B = - \det {\rm{ }}A\).

02

Step 2:Find the determinant of the matrix

An interchange between two rows or columnscan be written as

\(\det {\rm{ }}B = - \det {\rm{ }}A\).

If two rows or columns are the same, then theirinterchange does not change the matrix.Thus thedeterminant also does not change.

\(\det {\rm{ }}B = \det {\rm{ }}A\)

Both the cases,\(\det {\rm{ }}B = - \det {\rm{ }}A\)and\(\det {\rm{ }}B = \det {\rm{ }}A\), are satisfied only when\(\det {\rm{ }}A = 0\).

Hence, it is proved that if two rows or columns of a square matrix A are equal, then \(\det A = 0\).

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Most popular questions from this chapter

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

Question: 11. Find the area of the parallelogram determined by the points \(\left( {1,4} \right),\)\(\left( { - 1,5} \right),\)\(\left( {3,9} \right),\) and \(\left( {5,8} \right)\). How can you tell that the quadrilateral determined by the points is actually a parallelogram?

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

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 \(det\left( {PA{P^{ - {\bf{1}}}}} \right) = det{\rm{ }}A\).

Compute the determinants of the elementary matrices given in Exercises 25-30. (See Section 2.2)

\[\left[ {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{0}}&{\bf{0}}\\{\bf{0}}&{\bf{1}}&{\bf{0}}\\{\bf{0}}&k&{\bf{1}}\end{aligned}} \right]\]

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