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To conclude, we normalise the vectors, obtaining the answer p1 19

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MA 1112: Linear Algebra II Tutorial problems, March 12, 2019 1.First we make this set into a set of orthogonal vectors. We put

e1=f1=

 1 3 3

,

e2=f2−(e1,f2) (e1,e1)e1=

 0

−1 1

,

e3=f3−(e1,f3)

(e1,e1)e1−(e2,f3) (e2,e2)e2=

 12/19

−2/19

−2/19

.

To conclude, we normalise the vectors, obtaining the answer

p1 19

 1 3 3

, 1 p2

 0

−1 1

, 1 p38

 6

−1

−1

.

2.This formula is bilinear and symmetric by inspection. Also, if we putx1=x2 and y1=y2, and complete the square, we obtainx21+x1y1+y12=(x1+12y1)2+34y21, and we see that this can only be equal to zero forx1=y1=0, so the positivity holds as well. Let us apply the Gram–Schmidt process to the standard unit vectors. This means that we would like to replacee2bye2(e(e11,e,e21))e1=

µ−1/2 1

. It remains to normalise these vectors, obtaining

µ1 0

¶ ,

µ−1/p 3 2p

3

3.We first orthogonalise these vectors, noting thatR1

1f(t)d t is equal to 0 iff(t) is an odd function (this shows that our computations are actually quite easy, because even powers oft are automatically orthogonal to odd powers):

e1=1, e2=t−(1,t)

(1, 1)1=t, e3=t2−(1,t2)

(1, 1)1−(t,t2)

(t,t) t=t2−1 3, e4=t3−(1,t3)

(1, 1)1−(t,t3)

(t,t) t− (t213,t3)

(t213,t213)(t2−1

3)=t3−3 5. To conclude, we normalise these vectors, obtaining

p1 2,

p3t p2,

p5(3t2−1) 2p

2 ,

p7(5t3−3t) 2p

2 .

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