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Fundamentals of Matrix Algebra, 2011a

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2.3 Visualizing <strong>Matrix</strong> Arithmec in 2D<br />

.<br />

⃗y<br />

⃗x<br />

⃗y<br />

⃗x<br />

⃗x −⃗y<br />

(a)<br />

(b)<br />

.<br />

.<br />

Figure 2.13: Vectors ⃗x, ⃗y and ⃗x − ⃗y in Example 37<br />

Vector Length<br />

When we discussed scalar mulplicaon, we made reference to a fundamental<br />

queson: How do we measure the length <strong>of</strong> a vector? Basic geometry gives us an<br />

answer in the two dimensional case that we are dealing with right now, and later we<br />

can extend these ideas to higher dimensions.<br />

Consider Figure 2.14. A vector ⃗x is drawn in black, and dashed and doed lines<br />

have been drawn to make it the hypotenuse <strong>of</strong> a right triangle.<br />

⃗x<br />

1<br />

.<br />

1<br />

.<br />

Figure 2.14: Measuring the length <strong>of</strong> a vector<br />

It is easy to see that the dashed line has length 4 and the doed line has length 3.<br />

We’ll let c denote the length <strong>of</strong>⃗x; according to the Pythagorean Theorem, 4 2 +3 2 = c 2 .<br />

Thus c 2 = 25 and we quickly deduce that c = 5.<br />

Noce that in our figure, ⃗x goes to the right 4 units and then up 3 units. In other<br />

words, we can write<br />

[ ] 4<br />

⃗x = .<br />

3<br />

We learned above that the length <strong>of</strong> ⃗x is √ 4 2 + 3 2 . 10 This hints at a basic calculaon<br />

that works for all vectors⃗x, and we define the length <strong>of</strong> a vector according to this rule.<br />

10 Remember that √ 4 2 + 3 2 ≠ 4 + 3!<br />

73

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