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Theorem 1: The Line
THEOREM 1 A line L is uniquely determined by a position vector P and a direction vector D. L has the scalar equation xd2 - yd1 = p1d2 - p2d1 and the vector equation X = P + tD. The vector equation means that L is the set of all points X such that X = P + tD for some t. PROOF Let L be any line with position vector P and direction vector D. We must show that: (i) L has the scalar equation given in Theorem 1. (ii) If X = P + tD for some f then X is a point of L. (iii) If X is a point of L then X = P + fD for some t. (i) D is the vector from A to B where A and B are points on L. Since L is the line through A and B, it has the scalar equation (x - a1)(b2 - a2) = (y - a2)(b1 - a1), (x - a1)d2 = (y - a2)d1, xd2 - yd1= a1d2 - a2d1. This equation holds for the point P of L, p1d2 - p2d1 = a1d2 - a2d1. Combining the last two equations we get the required equation: (1) xd2 - yd1 = p1d2 - p2d1. (ii) Let X be a point such that X = P + tD for some t. Then x = p1 + td1, y = p2 + td2, d2x - dxy = d2p1 + d2td1 - d1p2 - d1td2 = d2px - d1p2, so X is a point of L. (iii) Let X be a point of L. If d1 ≠ 0 we set t = (x - p1/d1 and using Equation 1 we get X = P + tD. The case d2 = 0 is similar. Therefore X = P + tD is a vector equation for L (Figure 10.2.6). Figure 10.2.6: The line with position vector P and direction vector D The vector equation X = P + tD can be put in the form xi + yj = (p1 + td1)i + (p2 + td2)j. It can also be written as a pair of parametric equations x = p1+ td1, y = p2 + td2.
In general, the line L through points A and B has the vector equation X = A + t(B - A) because A is a position vector and B - A is a direction vector of L.
Some applications of vectors to plane geometry follow.
A four-sided figure whose opposite sides represent equal vectors is called a parallelogram. Figure 10.2.13
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