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To conclude, we normalise the vectors, obtaining the answer √1 19

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(1)

MA 1212: Linear Algebra II Tutorial problems, January 29, 2015

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

√1 19

 1 3 3

, 1

√ 2

 0 1

−1

, 1

√ 38

 6

−1

−1

.

2.This formula is bilinear and symmetric by inspection. Also, if we put x1=x2 andy1 =y2, we obtainx21+x1y1+y21 = (x1+12y1)2+34y21, and we see that this can only be equal to zero for x1 =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 replace e2 by e2(e(e1,e2)

1,e1)e1 =

−1/2 1

. It remains to normalise these vectors, obtaining

1 0

,

−1/√ 3 2√

3

3.We first orthogonalise these vectors, noting that R1

−1f(t)dtis equal to 0 if f(t) is an odd function (this shows that our computations are actually quite easy, because even powers of t are automatically orthogonal to odd

(2)

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

√1 2,

√3t

√ 2 ,

√5(3t2−1) 2√

2 ,

√7(5t3−3t) 2√

2 .

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