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4 homework questions about optimization

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1. (25 marks) True of False (No justication necessary)

(a) The set f(x; y) : y = 2x + 1 for (x; y) 2 R2g is a subspace of R2.

(b) The set f(x; y) : y = x2 for (x; y) 2 R2g is a subspace of R2.

(c) Recall the function kxk0 is dened as the number of nonzero entries in x 2 Rn. The

function kxk0 a valid norm.

(d) For unconstrained optimization problem, a stationary point with a PSD hessian ma-

trix must be a local minimizer.

(e) For unconstrained optimization problem, a stationary point without a PSD hessian

matrix can not be a local minimizer.

2. (25 marks) Let A = uuT 2 R1010 be a symmetric matrix, where u =

2

6664

1

2

10

3

7775

2 R10:

(a) Compute rank(A).

(b) Compute kAk1.

(c) Compute kAkF .

(d) Compute tr(A).

(e) Compute det(A).

3. (25 marks) Given A 2 Rnn; b 2 Rn and > 0, let f(x) = 1

2kAx bk22

+

2 kxk22

.

(a) Compute rf(x).

(b) Compute r2f(x).

(c) Prove r2f(x) is PD for any x 2 Rn.

(d) Find the stationary point of f(x).

(e) Using the sucient conditions, show this stationary point is a local minimizer.

4. (25 marks) Given two vectors a; b 2 Rn, let f(x) = 1

2kx ak22

+ 1

2kx bk22

.

(a) Compute rf(x).

(b) Compute r2f(x).

(c) Find the stationary point of f(x).

(d) Using the sucient conditions, show this stationary point is a local minimizer.

(e) Using the denition of global minimizer, show this stationary point is also a global

minimizer. (hint: completing squares)

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