What is the Dot Product of Two 2x2 Matrices?

AI Thread Summary
The discussion clarifies the difference between the matrix product and the dot product of two 2x2 matrices. The dot product, also known as the inner product, results in a scalar value rather than a matrix. Specifically, for two 2x2 matrices, the dot product is calculated using the Frobenius inner product formula, which sums the products of corresponding elements. This means that the dot product of the matrices results in a single value, not another matrix. Understanding this distinction is crucial for applying concepts in image processing and linear algebra effectively.
Owen-
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This seems like a very basic question that I should know the answer to, but in my image processing class, my teacher explained that a basis set of images(matrices) are orthonormal.

He said that the DOT product between two basis images (in this case two 2x2 matrices) is 0. so, for example

\begin{equation}
\begin{bmatrix}
a & b\\
c & d
\end{bmatrix}
\cdot
\begin{bmatrix}
e & f\\
g & h
\end{bmatrix}
=0
\end{equation}

I don't understand how this can be. I always thought it gave another matrix, and not a direct value:
\begin{equation}
\begin{bmatrix}
a & b\\
c & d
\end{bmatrix}
\cdot
\begin{bmatrix}
e & f\\
g & h
\end{bmatrix}
=
\begin{bmatrix}
ae+bg & af+bh\\
ce+dg & cf+dh
\end{bmatrix}
\end{equation}

Can someone help me out? It would be unbelieveably helpful,
Thanks!
Owen.
 
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The only possibility I can think of is to take a 2x2 matrix and write it out in the form ##a e_{11} + b e_{12} + c e_{21} + d e_{22}##, ie as a four dimensional vector space. Then the e's form an orthonormal basis.
 
Owen- said:
I don't understand how this can be. I always thought it gave another matrix, and not a direct value:
\begin{equation}
\begin{bmatrix}
a & b\\
c & d
\end{bmatrix}
\cdot
\begin{bmatrix}
e & f\\
g & h
\end{bmatrix}
=
\begin{bmatrix}
ae+bg & af+bh\\
ce+dg & cf+dh
\end{bmatrix}
\end{equation}

Can someone help me out? It would be unbelieveably helpful,
Thanks!
Owen.
That's the matrix product, not the dot product. A dot product (inner product) is a scalar. Always. For matrices, the typical definition of the dot product is the Frobenius inner product. Simply compute as if the matrix was a vector. For real matrices,

\begin{equation}
A\cdot B \equiv \sum_i \sum_j A_{ij} B_{ij}
\end{equation}
For your pair of 2x2 matrices,
\begin{equation}
\begin{bmatrix}
a & b\\
c & d
\end{bmatrix}
\cdot
\begin{bmatrix}
e & f\\
g & h
\end{bmatrix}
= ae + bf + cg + dh\end{equation}
 
Perfect thanks a lot!
 
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