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Linear Algebra

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Section II. <strong>Linear</strong> Independence 109<br />

Proof. If the finite set S is linearly independent then there is nothing to prove<br />

so assume that S = {�s1,...,�sn} is linearly dependent. By Corollary 1.16, there<br />

is a vector �si that is a linear combination of �s1, ... , �si−1. Define S1 to be the<br />

set S −{�si}. Lemma 1.1 then says that the span does not shrink: [S1] =[S].<br />

If S1 is linearly independent then we are finished. Otherwise repeat the<br />

prior paragraph to derive S2 ⊂ S1 such that [S2] =[S1]. Repeat this process<br />

until a linearly independent set appears; one must eventually appear because<br />

S is finite. (Formally, this part of the argument uses mathematical induction.<br />

Exercise 37 asks for the details.) QED<br />

In summary, we have introduced the definition of linear independence to<br />

formalize the idea of the minimality of a spanning set. We have developed some<br />

elementary properties of this idea. The most important is Lemma 1.15, which,<br />

complementing that a spanning set is minimal when it linearly independent,<br />

tells us that a linearly independent set is maximal when it spans the space.<br />

Exercises<br />

� 1.18 Decide whether each subset of R 3 is linearly dependent or linearly independent.<br />

� �<br />

1<br />

� �<br />

2<br />

� �<br />

4<br />

(a) { −3 , 2 , −4 }<br />

5<br />

� �<br />

1<br />

4<br />

� �<br />

2<br />

14<br />

� �<br />

3<br />

(b) { 7 , 7 , 7 }<br />

7<br />

� �<br />

0<br />

7<br />

� �<br />

1<br />

7<br />

(c) { 0 , 0 }<br />

−1<br />

� �<br />

9<br />

4<br />

� �<br />

2<br />

� �<br />

3<br />

� �<br />

12<br />

(d) { 9 , 0 , 5 , 12 }<br />

0 1 −4 −1<br />

� 1.19 Which of these subsets of P3 are linearly dependent and which are independent?<br />

(a) {3 − x +9x 2 , 5 − 6x +3x 2 , 1+1x− 5x 2 }<br />

(b) {−x 2 , 1+4x 2 }<br />

(c) {2+x +7x 2 , 3 − x +2x 2 , 4 − 3x 2 }<br />

(d) {8+3x +3x 2 ,x+2x 2 , 2+2x +2x 2 , 8 − 2x +5x 2 }<br />

� 1.20 Prove that each set {f,g} is linearly independent in the vector space of all<br />

functions from R + to R.<br />

(a) f(x) =x and g(x) =1/x<br />

(b) f(x) = cos(x) andg(x) =sin(x)<br />

(c) f(x) =e x and g(x) =ln(x)<br />

� 1.21 Which of these subsets of the space of real-valued functions of one real variable<br />

is linearly dependent and which is linearly independent? (Note that we have<br />

abbreviated some constant functions; e.g., in the first item, the ‘2’ stands for the<br />

constant function f(x) =2.)

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