3. Let A be a n x n matrix with distinct and positive eigenvalues. For each i, 1 ≤ i ≤n, let Vi be an eigenvector of A with eigenvalue A, such that the v; are mutually orthogonal unit vectors. That is, Vi · Vj = 1, for i = j, 0, for i #j. (a) Suppose that w = V₁ for some a, E R. Prove that w.v; = a; for all j = 1,..., n. (b) Show that x- (Ax) ≥ 0 for all x ER".

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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3. Let A be a nxn. matrix with distinct and positive eigenvalues. For each i, 1 ≤ i ≤n,
let v; be an eigenvector of A with eigenvalue A, such that the v, are mutually orthogonal
unit vectors. That is,
(a) Suppose that w =
j = 1,..., n.
1,
for i = j,
0,
for i j.
av, for some a, E R. Prove that wv; = a; for all
Vi Vj =
(b) Show that x- (Ax) ≥ 0 for all x ER".
Transcribed Image Text:3. Let A be a nxn. matrix with distinct and positive eigenvalues. For each i, 1 ≤ i ≤n, let v; be an eigenvector of A with eigenvalue A, such that the v, are mutually orthogonal unit vectors. That is, (a) Suppose that w = j = 1,..., n. 1, for i = j, 0, for i j. av, for some a, E R. Prove that wv; = a; for all Vi Vj = (b) Show that x- (Ax) ≥ 0 for all x ER".
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