Definition:Frobenius Norm
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Definition
Let $m, n \in \Z_{>0}$ be (strictly) positive integers.
Let $\map \MM {m, n}$ denote the vector space of matrices of order $m \times n$ over the complex numbers $\C$.
Definition 1
The Frobenius norm on $\map \MM {m, n}$ is defined and denoted as:
- $\forall \mathbf A \in \map \MM {m, n}: \norm {\mathbf A}_F := \sqrt {\map \tr {\mathbf A^\dagger \mathbf A} }$
where:
- $\tr$ denotes the trace of a matrix
- $\mathbf A^\dagger$ denotes the Hermitian conjugate of $\mathbf A$.
Definition 2
The Frobenius norm on $\map \MM {m, n}$ is defined and denoted as:
- $\forall \mathbf A \in \map \MM {m, n}: \norm {\mathbf A}_F := \sqrt {\map \tr {\mathbf A \mathbf A^\dagger} }$
where:
- $\tr$ denotes the trace of a matrix
- $\mathbf A^\dagger$ denotes the Hermitian conjugate of $\mathbf A$.
Definition 3
The Frobenius norm on $\map \MM {m, n}$ is defined and denoted as:
- $\forall \mathbf A \in \map \MM {m, n}: \norm {\mathbf A}_F := \ds \sqrt {\sum_{i \mathop = 1}^m \sum_{j \mathop = 1}^n \cmod {a_{i j} }^2}$
where $a_{i j}$ denotes the $\tuple {i, j}$th element of $\mathbf A$.
That is, the Frobenius norm is the square root of the sum of the squares of the moduli of all the elements of $\mathbf A$.
Also known as
The Frobenius norm is also known as the Euclidean norm, after Euclid.
Also see
- Results about the Frobenius norm can be found here.
Source of Name
This entry was named for Ferdinand Georg Frobenius.