Linear Algebra and Its Applications, 5th Edition

Linear Algebra and Its Applications, 5th Edition

Authors: David C. Lay, Steven R. Lay, Judi J. McDonald

ISBN-13: 978-0321982384

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See our solution for Question 27E from Chapter 3.2 from Lay's Linear Algebra and Its Applications, 5th Edition.

Problem 27E

Chapter:
Problem:
In Exercises 27 and 28, A and B are n × n matrices. Mark each statement True or False. Justify each answer. a. A row replacement operation does not affect the determinant of a matrix.

Step-by-Step Solution

Given Information
We are given with some statements, we have to find whether they are True or False

Step-1: (a) .
Statement: A row replacement operation does not affect the determinant of a matrix

The statement is True. From Statement (a) of theorem-3, If a multiple of one row of A is added to another row to produce a matrix B, the \[\det A = \det B\].

True

Step-2: (b) .
Statement: The determinant of A is the product of the pivots in any echelon form U of A, multiplied by $(-1)^r$, where $r$ is the number of row interchanges made during row reduction from A to U

The statement is False. From Example-2 of the textbook, the given statement is true only for invertible matrix. \[\det A = \left\{ {\begin{array}{*{20}{c}}{{{\left( { - 1} \right)}^r} \times \left( {{\rm{Product}}\,\,{\rm{of}}\,\,{\rm{pivots}}\,\,{\rm{in}}\,{\rm{U}}} \right)}&{{\rm{A}}\,\,{\rm{is}}\,\,{\rm{invertible}}}\\0&{{\rm{A}}\,\,{\rm{is}}\,\,{\rm{not}}\,\,{\rm{invertible}}}\end{array}} \right\}\] False

Step-3: (c) .
Statement: If the columns of A are linearly dependent, then$\det A = 0$

The statement is True. Refer to paragraph below Theorem-4, when th columns of A are linearly dependent, the determinant of the matrix is zero.

True

Step-4: (d) .
Statement: $\det \left( {A + B} \right) = \det A + \det B$

The statement is False. Take an example of two matrices A and B

\[\begin{array}{l}A = \left[ {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}\\{{a_3}}&{{a_4}}\end{array}} \right]\\B = \left[ {\begin{array}{*{20}{c}}{{b_1}}&{{b_2}}\\{{b_3}}&{{b_4}}\end{array}} \right]\end{array}\]Their Determinants:\[\begin{array}{l}\det \left( A \right) = {a_1}{a_4} - {a_2}{a_3}\\\det \left( B \right) = {b_1}{b_4} - {b_2}{b_3}\end{array}\]Sum of the determinents : \[\det \left( A \right) + \det \left( B \right) = {a_1}{a_4} + {b_1}{b_4} - {a_2}{a_3} - {b_2}{b_3}\]Sum of the matrices: \[A + B = \left[ {\begin{array}{*{20}{c}}{{a_1} + {b_1}}&{{a_2} + {b_2}}\\{{a_3} + {b_3}}&{{a_4} + {b_4}}\end{array}} \right]\]The determinant of the sum of matrices:\[\begin{array}{l}\det \left( {A + B} \right) = \left( {{a_1} + {b_1}} \right) \times \left( {{a_4} + {b_4}} \right) - \left( {{a_2} + {b_2}} \right) \times \left( {{a_3} + {b_3}} \right)\\ = {a_1}{a_4} + {b_1}{b_4} + {a_1}{b_4} + {b_1}{a_4} - \left( {{a_2}{a_3} + {b_2}{b_3} + {a_3}{b_2} + {b_3}{a_2}} \right)\end{array}\]We can see that sum of determinants is not equal to determinant of sum of matrices.

False