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A First Course in Linear Algebra, 2017a

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128 Determ<strong>in</strong>ants<br />

Exercise 3.1.13 An operation is done to get from the first matrix to the second. Identify what was done<br />

and tell how it will affect the value of the determ<strong>in</strong>ant.<br />

[ ] [ ]<br />

a b<br />

b a<br />

→···→<br />

c d<br />

d c<br />

Exercise 3.1.14 Let A be an r × r matrix and suppose there are r − 1 rows (columns) such that all rows<br />

(columns) are l<strong>in</strong>ear comb<strong>in</strong>ations of these r − 1 rows (columns). Show det(A)=0.<br />

Exercise 3.1.15 Show det(aA)=a n det(A) for an n × n matrix A and scalar a.<br />

Exercise 3.1.16 Construct 2 × 2 matrices A and B to show that the detAdetB = det(AB).<br />

Exercise 3.1.17 Is it true that det(A + B)=det(A)+det(B)? If this is so, expla<strong>in</strong> why. If it is not so, give<br />

a counter example.<br />

Exercise 3.1.18 An n × n matrix is called nilpotent if for some positive <strong>in</strong>teger, k it follows A k = 0. If A is<br />

a nilpotent matrix and k is the smallest possible <strong>in</strong>teger such that A k = 0, what are the possible values of<br />

det(A)?<br />

Exercise 3.1.19 A matrix is said to be orthogonal if A T A = I. Thus the <strong>in</strong>verse of an orthogonal matrix is<br />

just its transpose. What are the possible values of det(A) if A is an orthogonal matrix?<br />

Exercise 3.1.20 Let A and B be two n × n matrices. A ∼ B(Aissimilar to B) means there exists an<br />

<strong>in</strong>vertible matrix P such that A = P −1 BP. Show that if A ∼ B, then det(A)=det(B).<br />

Exercise 3.1.21 Tell whether each statement is true or false. If true, provide a proof. If false, provide a<br />

counter example.<br />

(a) If A is a 3 × 3 matrix with a zero determ<strong>in</strong>ant, then one column must be a multiple of some other<br />

column.<br />

(b) If any two columns of a square matrix are equal, then the determ<strong>in</strong>ant of the matrix equals zero.<br />

(c) For two n × n matrices A and B, det(A + B)=det(A)+det(B).<br />

(d) For an n × nmatrixA,det(3A)=3det(A)<br />

(e) If A −1 exists then det ( A −1) = det(A) −1 .<br />

(f) If B is obta<strong>in</strong>ed by multiply<strong>in</strong>g a s<strong>in</strong>gle row of A by 4 then det(B)=4det(A).<br />

(g) For A an n × nmatrix,det(−A)=(−1) n det(A).<br />

(h) If A is a real n × n matrix, then det ( A T A ) ≥ 0.

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