I am afraid I am not able to follow you. Now you start talking about some \Lambda
variable, which appeared in none of your previously stated problems…
A few general remarks:
-
I can hardly think of a need to analyze positive (semi) definiteness of a matrix while not assuming a symmetry. At least in control theory (which is where your problems are obviously coming from), these matrices define quadratic matrix forms and even if you somehow start with a nonsymmetrix matrix
P
, you can symmetrize it through(P+P')/2
with no impact on the value of the quadratic form. Thats why you will barely encounter a discussion of nonsymmetric matrices in the LMI/SDP literature. -
Whether you can use the function
Positive()
, you can easily check by yourself. You do not need discussion forum for that, do you? Just read the documentation: for Convex.jl package at Basic Types · Convex.jl. For JuMP. jl package at Variables · JuMP. -
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