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A First Course in Linear Algebra, 2017a

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537<br />

1.2.33 Solution is: [x = 2 − 4t,y = −8t,z = t]<br />

1.2.34 Solution is: [x = −1,y = 2,z = −1]<br />

1.2.35 Solution is: [x = 2,y = 4,z = 5]<br />

1.2.36 Solution is: [x = 1,y = 2,z = −5]<br />

1.2.37 Solution is: [x = −1,y = −5,z = 4]<br />

1.2.38 Solution is: [x = 2t + 1,y = 4t,z = t]<br />

1.2.39 Solution is: [x = 1,y = 5,z = 3]<br />

1.2.40 Solution is: [x = 4,y = −4,z = −2]<br />

1.2.41 No. Consider x + y + z = 2andx + y + z = 1.<br />

1.2.42 No. This would lead to 0 = 1.<br />

1.2.43 Yes. It has a unique solution.<br />

1.2.44 The last column must not be a pivot column. The rema<strong>in</strong><strong>in</strong>g columns must each be pivot columns.<br />

1.2.45 You need<br />

1<br />

4<br />

1<br />

4<br />

1<br />

4<br />

1<br />

(20 + 30 + w + x) − y = 0<br />

(y + 30 + 0 + z) − w = 0<br />

, Solution is: [w = 15,x = 15,y = 20,z = 10].<br />

(20 + y + z + 10) − x = 0<br />

4 (x + w + 0 + 10) − z = 0<br />

1.2.57 It is because you cannot have more than m<strong>in</strong>(m,n) nonzero rows <strong>in</strong> the reduced row-echelon form.<br />

Recall that the number of pivot columns is the same as the number of nonzero rows from the description<br />

of this reduced row-echelon form.<br />

1.2.58 (a) This says B is <strong>in</strong> the span of four of the columns. Thus the columns are not <strong>in</strong>dependent.<br />

Inf<strong>in</strong>ite solution set.<br />

(b) This surely can’t happen. If you add <strong>in</strong> another column, the rank does not get smaller.<br />

(c) This says B is <strong>in</strong> the span of the columns and the columns must be <strong>in</strong>dependent. You can’t have the<br />

rank equal 4 if you only have two columns.<br />

(d) This says B is not <strong>in</strong> the span of the columns. In this case, there is no solution to the system of<br />

equations represented by the augmented matrix.<br />

(e) In this case, there is a unique solution s<strong>in</strong>ce the columns of A are <strong>in</strong>dependent.

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