Hermitian Matrix's Loewner Order
📂Matrix AlgebraHermitian Matrix's Loewner Order
Definition
Loewner Order
Let’s assume two matrices A,B∈Cn×n are Hermitian matrices. If (A−B) is positive semidefinite, it is denoted as A≥B, and if (A−B) is positive definite, it is denoted as A>B. This kind of partial order ≥, > are called the Loewner order.
Explanation
Unlike commonly considered scalars, and indeed even with complex numbers, defining a natural order among them is not an easy task. Especially in the case of matrices, which have many more components, defining a valid order for them is difficult. However, the notion of positive definiteness in matrices provides a way to assign a kind of sign to matrices, enabling the establishment of an order among them.
Theorem
Hn:=Pn:=Pn:={A∈Cn×n:A=A∗}{A∈Cn×n:x∗Ax>0}{A∈Cn×n:x∗Ax≥0}
For the set of positive definite matrices in the vector space of Hermitian matrices Hn, denoted as Pn, let’s denote the set of positive semidefinite matrices as Pn. Pn is a partially ordered set with respect to ≥, but cannot be a totally ordered set.
Proof
It suffices to provide a counterexample.
A:=B:=[1000][0001]
The two matrices A,B given above are positive semidefinite; however,
A−B=B−A=[100−1][−1001]
for any vector (x1,x2)∈R2, its quadratic form always becomes of the form x12−x22, which cannot all be positive semidefinite. In this case, since neither A>B nor B>A holds, Pn cannot form a totally ordered set.
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