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# Matrix multiplication: an interactive micro-course for beginners

Matrix multiplication is a very useful operation in mathematics,
although the definition may seem a bit difficult and unnatural
when first encountered.
Here I won't go into *why* it is so useful.
I will merely give a quick description of *how to do it*,
illustrating with a few examples.

This document is supposed to be slightly interactive,
which only works if you have JavaScript enabled in your web browser.
Try moving your mouse pointer over the formulas and watch what happens!

## Step 1: Row times column

First, here is how to multiply a **row matrix**
with a **column matrix**
of the **same length**
– that is, with the same number of entries.
The result is a **number**
(which can be viewed as a **1x1 matrix** if one
insists that the product of two matrices always must be a matrix).

In this example,
the row and the column both have length 4,
but the same pattern obviously works whenever they
are of the same length;
just multiply corresponding entries and sum up.
If the row and the column are **not of the same length**,
their product is **undefined**.

## Step 2: The general case

And now two general matrices, A and B, say.
The matrix product AB is formed by multiplying **every row of A**
with **every column of B**,
in the way described in Step 1 above.
The resulting numbers are arranged in a new matrix:
the *m*th row in A times the *n*th column in B gives the number
at position (*m*,*n*) in AB:

Again, for this to work,
the **rows of A** must have
the **same length** as the
**columns of B**.
If not, the product AB is undefined:

So even if AB is defined, BA need not be defined.
And even when AB and BA are both defined, they are usually not equal.

That's all, folks!
Much more can be said about matrix multiplication,
but that won't fit into a micro-course like this.
Maybe if I get the inspiration,
I'll expand this into a mini-course someday...

Original version
2001-01-23.
Last modified
2016-10-26.
Hans Lundmark
(hans.lundmark@liu.se)