Exercise 10.A.21

Answers

Proof. Let e1,,en be an orthonormal basis of V with respect to which the matrix of T is upper triangular. Thus we can write

M(T,(e1,,en)) = (a1,1a1,n 0 a n,n ) .

Then

||Te1||2 = |a 1,1|2 and ||Te 1||2 = |a 1,1|2 + + |a 1,n|2.

Because ||Te1||||Te1||, this shows that all entries in the first row, except the first entry, are 0. Then we have

||Te2||2 = |a 1,2|2 + |a 2,2|2 = |a 2,2|2

and

||Te 2||2 = |a 2,2|2 + + |a 2,n|2.

Because ||Te2||||Te2||, this shows that all entries in the second row, except the second entry, are 0. Continuing like this, we see that the matrix of T is actually diagonal. Hence e1,,en is an orthonormal basis of V consisting of eigenvectors of T. By the Complex Spectral Theorem (7.29) T is normal. □

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2017-10-06 00:00
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Proof. Let e1,,en be an orthonormal basis of V . By Exercise 18, we have

trace (TT) = ||Te 1||2 + + ||Te n||2 ||Te 1||2 + + ||Te n||2 = trace (TT) = trace (TT).

Because the first and last lines are equal, we must have equality throughout. Thus

||Te1||2 + + ||Te n||2 = ||Te 1||2 + + ||Te n||2.

Since ||Tej||||Tej||, the equation above actually implies that ||Tej|| = ||Tej||. Note that the basis e1,,en was arbitrary and for any nonzero vector v V , we can extend v ||v|| to an orthonormal basis of V . Thus

| |T ( v ||v||)|| = | |T ( v ||v||)||

for all nonzero v V . Multiplying the equation above by ||v|| we get that ||Tv|| = ||Tv||. Then T is normal by 7.20. □

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2017-10-06 00:00
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