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1.4 So, What is a Matrix? 25<br />

We have come full circle; matrices are just examples of the kinds of <strong>linear</strong><br />

operators that appear in algebra problems like those in section 1.3. Any<br />

equation of the form Mv = w with M a matrix, and v, w n-vectors is called<br />

a matrix equation. Chapter 2 is about efficiently solving systems of <strong>linear</strong><br />

equations, or equivalently matrix equations.<br />

1.4.1 Matrix Multiplication is Composition of Functions<br />

What would happen if we placed two of our expensive machines end to end?<br />

?<br />

The output of the first machine would be fed into the second.<br />

( x<br />

y<br />

) ( ) ( )<br />

2x + 6y<br />

1.(2x + 6y) + 2.(4x + 8y)<br />

4x + 8y<br />

0.(2x + 6y) + 1.(4x + 8y)<br />

( ) 10x + 22y<br />

=<br />

4x + 8y<br />

Notice that the same final result could be achieved with a single machine:<br />

( x<br />

y<br />

) ( ) 10x + 22y<br />

4x + 8y<br />

.<br />

There is a simple matrix notation for this called matrix multiplication<br />

( ) ( ) ( )<br />

1 2 2 6 10 22<br />

= .<br />

0 1 4 8 4 8<br />

Try review problem 6 to learn more about matrix multiplication.<br />

In the language 10 of functions, if<br />

f : U −→ V and g : V −→ W<br />

10 The notation h : A → B means that h is a function with domain A and codomain B.<br />

See the webwork background set3 if you are unfamiliar with this notation or these terms.<br />

25

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