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10.6 Vectors in Space.

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Presentation on theme: "10.6 Vectors in Space."— Presentation transcript:

1 10.6 Vectors in Space

2 z 2 -2 -2 O y 2 2 -2 x

3 Theorem Distance Formula in Space
If P1 = (x1, y1, z1) and P2 = (x2, y2, z2) are two points in space, the distance d from P1 to P2 is

4 Find the distance from P1 = (2, 3, 0) to

5 If v is a vector with initial point at the origin O and terminal point at P = (a, b, c), then we can represent v in terms of the vectors i, j, and k as v = ai + bj + ck

6 Position Vector P = (a, b, c) v = ai + bj + ck

7 Theorem Suppose that v is a vector with initial point P1= (x1, y1, z1), not necessarily the origin, and terminal point P2 = (x2, y2, z2). If v = P1P2 then v is equal to the position vector v = (x1- x2)i+(y1 - y2)j+ (z1 - z2)k

8 P1= (x1, y1, z1), P2 = (x2, y2, z2). v = (x1- x2)i+(y1 - y2)j+ (z1 - z2)k

9 Find the position vector of the vector v= P1P2 if P1= (0, 2, -1) and P2 = (-2, 3,-1).

10

11 If v = -2i+ 3j + 4k and w = 3i+ 5j - k find
(a) v + w (b) v - w

12 For any nonzero vector v, the vector
Theorem Unit Vector in Direction of v For any nonzero vector v, the vector is a unit vector that has the same direction as v.

13 Find the unit vector in the same direction as v = 3i+ 5j - k .

14

15

16 Theorem Properties of Dot Product
If u, v, and w are vectors, then Commutative Property Distributive Property

17 Theorem Angle between Vectors

18

19 Theorem Direction Angles

20 Find the direction angles of v= -3i+2j-k.

21 Theorem Property of Direction Cosines

22 A nonzero vector v in space can be written in terms of its magnitude and direction cosines as


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