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Fundamentals of Matrix Algebra, 2011a

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5.1 Transformaons <strong>of</strong> the Cartesian Plane<br />

This saves me, especially if you do a similar procedure for mulple matrices A. Of<br />

course, we can save more me by skipping the first column; since it is the column <strong>of</strong><br />

zeros, it will stay the column <strong>of</strong> zeros aer mulplicaon by A.)<br />

The unit square and its transformaon are graphed in Figure 5.1, where the shaped<br />

verces correspond to each other across the two graphs. Note how the square got<br />

turned into some sort <strong>of</strong> quadrilateral (it’s actually a parallelogram). A really interesting<br />

thing is how the triangular and square verces seem to have changed places – it is<br />

as though the square, in addion to being stretched out <strong>of</strong> shape, was flipped.<br />

y<br />

y<br />

1<br />

.<br />

x<br />

x<br />

1<br />

1<br />

.<br />

Figure 5.1: Transforming the unit square by matrix mulplicaon in Example 93.<br />

1<br />

y<br />

y<br />

1<br />

.<br />

x<br />

x<br />

1<br />

1<br />

.<br />

Figure 5.2: Emphasizing straight lines going to straight lines in Example 93.<br />

To stress how “straight lines get transformed to straight lines,” consider Figure 5.2.<br />

Here, the unit square has some addional points drawn on it which correspond to the<br />

shaded dots on the transformed parallelogram. Note how relave distances are also<br />

preserved; the dot halfway between the black and square dots is transformed to a posion<br />

along the line, halfway between the black and square dots. .<br />

Much more can be said about this example. Before we delve into this, though, let’s<br />

try one more example.<br />

1<br />

189

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