Find the vector which maximizes

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Question 1. Let A ∈ Rp×p be a non-singular matrix and b ∈ Rp be a vector. Find the vector x0 which maximizes f (x) def= ||Ax - b||2 = (Ax - b)T (Ax - b). [Hint: It suffices to solve the equation ∂f (x)/∂x = 0. You need not prove this, but think why.

Question 2. Let X be a n x p matrix with the full column rank, that is, rank(X) = p. Let H = X(XT X)-1XT. Prove that

(a) H is an orthogonal projection, i.e. it is symmetric and idempotent.

(b) The range of H is the column space of X, i.e. C(H) = C(X).

(c) Prove that rank( H) = tr(H).

Question 3. Let A ∈ Rp×p be a symmetric matrix with eigenvalues λ1 ≤ λ2 ≤ .....≤ λp. [Hint: Use the spectral decomposition.]

(a) Find the maximum of xT Ax when x ranges over {x : ||x|| = 1}. Note that eigenvalues are not necessarily positive.
(b) If λ1 > 0, prove that A is positive definite, that is, xT Ax > 0 for every x ∈ R\{0}.

Reference no: EM132227711

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