Frobenius inner product
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Article ImagesIn mathematics, the Frobenius inner product is a binary operation that takes two matrices and returns a scalar. It is often denoted . The operation is a component-wise inner product of two matrices as though they are vectors, and satisfies the axioms for an inner product. The two matrices must have the same dimension—same number of rows and columns—but are not restricted to be square matrices.
Given two complex-number-valued n×m matrices A and B, written explicitly as
the Frobenius inner product is defined as
where the overline denotes the complex conjugate, and denotes the Hermitian conjugate.[1] Explicitly, this sum is
The calculation is very similar to the dot product, which in turn is an example of an inner product.[citation needed]
Relation to other products
If A and B are each real-valued matrices, then the Frobenius inner product is the sum of the entries of the Hadamard product. If the matrices are vectorized (i.e., converted into column vectors, denoted by " "), then
Therefore
Like any inner product, it is a sesquilinear form, for four complex-valued matrices A, B, C, D, and two complex numbers a and b:
Also, exchanging the matrices amounts to complex conjugation:
For the same matrix,
and,
- .
The inner product induces the Frobenius norm
Real-valued matrices
For two real-valued matrices, if
then
Complex-valued matrices
For two complex-valued matrices, if
then
while
The Frobenius inner products of A with itself, and B with itself, are respectively
- Hadamard product (matrices)
- Hilbert–Schmidt inner product
- Kronecker product
- Matrix analysis
- Matrix multiplication
- Matrix norm
- Tensor product of Hilbert spaces – the Frobenius inner product is the special case where the vector spaces are finite-dimensional real or complex vector spaces with the usual Euclidean inner product
- ^ a b Horn, R.A.; C.R., Johnson (1985). Topics in Matrix Analysis (2nd ed.). Cambridge: Cambridge University Press. p. 321. ISBN 978-0-521-83940-2.