Christopher Saunders

Christopher Saunders

Answered

2022-10-25

Convert a non-convex QCQP into a convex counterpart
We consider a possibly non-convex QCQP, with nonnegative variable x R n ,
minimize x f 0 ( x ) subject to f i ( x ) 0 , i = 1 , , m x 0
where f i ( x ) = 1 2 x T P i x + q i T x + r i , with P i S n , q i R n , and r i R , for i = 0 , , m. We do not assume that P i 0, so this need not to be a convex problem.
Suppose that q i 0 and P i have non-positive off-diagonal entries. Explain how to reformulate this problem as a convex problem.
What I Have Done
Since both objective function and constraints are possibly non-convex, I consider their common structure, that is f i ( x ) = 1 2 x T P i x + q i T x + r i ,   i = 0 , 1 , 2 , , m. In this structure, q i T x + r i part is affine, so it does not cause problem. Then I only consider x T P i x.
The first thing that arises in my mind is to decompose P i into certain form and make x T P i x become something like y T Q y where Q 0. However, I did not find anything useful (actually it seems that I should not or any non-convex quadratic programming could be solved in this way).
Even though the previous random thought does not seem to work, I still think certain transformation is necessary, and perhaps some non-linear transformation y i = ϕ ( x i ). But coming up with this may need some "magic" and up to now have found anything that helps.

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Answer & Explanation

Hamnetmj

Hamnetmj

Expert

2022-10-26Added 21 answers

Step 1
I finally came up with a solution, which seems to be a valid reformulation.
Expand f i ( x )   ( i = 0 , 1 , , m ) into the form (form clarity, I drop the subscript in f i ( x ) , P i and q i .
f ( x ) = 1 2 i n P i i x i 2 + i j P i j x i x j + i n q i x i + r
Notice that x 0, apply the change of variable y i = x i 2 , we have
f ( y ) = 1 2 i n P i i y i + i j P i j y i y j + i n q i y i + r
Step 2
The first term i n P i i y i is affine in y i . What is more, since the off-diagonal entries of P are non-positive and this makes the second term convex. Similarly, the last term i n q i y i + r is also convex. Then f(y) is convex.
The "hint" directly from the problem is provided by x 0, what indicates the possibility of taking the square root.

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