## Hello,

Im solving problem

Clearly, we have X==A due to the LMI constraint (33c). But i didnot get the wanted results when i run the matlab code

M=8

cvx_begin sdp

variable A(M+1,M+1)

variable X(M+1,M+1) hermitian

variable Z(M+1,M+1) hermitian

[zeros(M+1,M+1) X-A;

X’-(A)’ Z;]>=0

trace(A)<=1

maximize (trace(X) )

cvx_end

Status: Unbounded

Optimal value (cvx_optval): +Inf

Results show that Z is great, (1e6) and X-A is not small.

## Of course by adding constraint Trace(Z)<=100, CVX solved the problem and we get X-A=0 and the results is as follows

Status: Inaccurate/Solved

Optimal value (cvx_optval): +1.00573

But Adding this constraint is not good for my problem considering something else in my problem.

Is there any other way to solve such problem?

Thank you in advance.