430 CHAPTER 19. EIGENVALUES AND EIGENVECTORS
34. The set, V ≡ {(x,y,z) : 2x+3y− z = 0} is a subspace of R3. Find an orthonormalbasis for this subspace.
35. The two level surfaces, 2x+ 3y− z+w = 0 and 3x− y+ z+ 2w = 0 intersect in asubspace of R4, find a basis for this subspace. Next find an orthonormal basis forthis subspace.
36. Let A,B be a m×n matrices. Define an inner product on the set of real m×n matricesby
(A,B)F ≡ trace(ABT ) .
Show this is an inner product satisfying all the inner product axioms. Recall for M ann×n matrix, trace(M)≡ ∑
ni=1 Mii. The resulting norm, ||·||F is called the Frobenius
norm and it can be used to measure the distance between two matrices.
37. The trace of an n×n matrix M is defined as ∑i Mii. In other words it is the sum of theentries on the main diagonal. If A,B are n×n matrices, show trace(AB) = trace(BA).Now explain why if A = S−1BS it follows trace(A) = trace(B). Hint: For the firstpart, write these in terms of components of the matrices and it just falls out.
38. For U a matrix, a number will be called o(U) if it satisfies lim∥U∥→0o(U)∥U∥ = 0. Here
∥U∥ will be the Frobenius norm of U . Show that for U an n×n matrix, det(I +U) =1+ trace(U)+o(U). Explain why if a number is a product of more than one entryof U then it must be o(U) . For example, U12U23 would be o(U). Hint: This is trueobviously if n = 1. Suppose true for n− 1 and expand along last column and useinduction to get the result for n.
39. Next show that if F−1 exists, then
det(F +U)−det(F) = det(F) trace(F−1U
)+o(U)
Hint: Factor out F from F +U .
40. Let A(t) be an m× n matrix whose entries are differentiable functions of t. Thesymbol A′ (t) , means to replace each t dependent entry of A(t) with its derivative.Thus if
A(t) =(
sin t t2
t +1 ln(1+ t2
) ) , then A′ (t) =(
cos t 2t1 2 t
t2+1
)Let A(t) be an m×n matrix and let B(t) be an n× p matrix. Show the product rule.
(AB)′ (t) = A′ (t)B(t)+A(t)B′ (t)
Hint: Just use the entries of both sides and reduce to the usual product rule. That is,the i jth entry of (AB)′ (t) is ∑k
(AikBk j
)′(t) . Now use the product rule.