Question: How can I solve the below problems? Question 2. Proximal gradient method (30 points) In this module, we have learned the proximal gradient method (PGM)

How can I solve the below problems?

How can I solve the below problems? Question 2. Proximal gradient method(30 points) In this module, we have learned the proximal gradient method

Question 2. Proximal gradient method (30 points) In this module, we have learned the proximal gradient method (PGM) and we know that it has o () convergence rate. This question is designed to guide you go through the process of proving this convergence rate rigorously. Recall the proximal operator is defined as proxy (x): = argmin f(u) +|u - x| |2:uER", VxER". Our goal is to minimizeff(u) + h(u):ue R"] (1) where h is a proper lower semicontinuous convex function and f is a smooth convex function on dom(h). We assume that f has L-Lipschitz continuous gradient, i.e., [lvf(x) - Vf(y)ll s Lllx - yll, Vx,y E dom(h), and hence for every x, y E dom(h), f ( x) st, (x;y ) + = llx-yl/2 (2) where f,(x; y) = f() + (Vf(v).x ->). Recall that PGM with a constant prox stepsize 1 ( 1/L) recursively computes its iterates according to XX+1 = proxin (Xk - AVf (xx))- Part a. (5 points) Prove that an iteration of PGM is equivalent to Xx+1 = argmin fy(u; xx) + h(u) +=, llu - xxll2: u e R". and the objective function is =-strongly convex (See the definition of strongly convex https://en.wikipedia.org/wiki/Convex_function#Strongly_convex_functions). Part b. (5 points) Prove that f, (u; x,) + h(u) +=llu - xxll? > f,(*+;xx) + h(xx+1) +=llxx+1 - xxll? +-llu -xx+ill? Hint: You can use the following result: Let f be a proper closed and u-strongly convex function for some > 0. Then f ( x) 2f (x.) +=1/x-x.1/2 for all x E dom(f), where x. is the unique minimizer of f. Part c. (5 points) Assume that A $ 1/L, then prove that (f + h ) (x.)+,, llxx - x. 12 2 (f + h ) (xx+1) + h(xx+1)+7,llxx+1 -x.1/2 where x. is a minimizer of eq. (1). Hint: You could use eq. (2). Part d. (5 points) Prove that [ f + h ) ( x ) - k(f +h)(x)s Ilxo - x.112 2.1 where xo is the initial point of PGM. Part e. (5 points) Prove that PGM has the descent property, ie.,(f + h ) (x) > (f + h)(xx+1). Vk 20. Hint: Use part b and eq. (2). Part f. (5 points) Finally, prove that ( f + h ) ( xx ) - (f + h) (x.)s 2Ak and hence we obtain the o () Convergence rate of PGM

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