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James Stewart-Calculus_ Early Transcendentals-Cengage Learning (2015)

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802 Chapter 12 Vectors and the Geometry of Space

Vectors in n dimensions are used to list

various quantities in an organized way.

For instance, the components of a sixdimensional

vector

p − k p 1, p 2, p 3, p 4, p 5, p 6 l

might represent the prices of six different

ingredients required to make a

particular product. Four-dimensional

vectors k x, y, z, t l are used in relativity

theory, where the first three components

specify a position in space and the

fourth represents time.

We denote by V 2 the set of all two-dimensional vectors and by V 3 the set of all threedimensional

vectors. More generally, we will later need to consider the set V n of all

n-dimensional vectors. An n-dimensional vector is an ordered n-tuple:

a − k a 1 , a 2 , . . . , a n l

where a 1 , a 2 , . . . , a n are real numbers that are called the components of a. Addition and

scalar multiplication are defined in terms of components just as for the cases n − 2 and

n − 3.

Properties of Vectors If a, b, and c are vectors in V n and c and d are scalars, then

1. a 1 b − b 1 a 2. a 1 sb 1 cd − sa 1 bd 1 c

3. a 1 0 − a 4. a 1 s2ad − 0

5. csa 1 bd − ca 1 cb 6. sc 1 dda − ca 1 da

7. scdda − csdad 8. 1a − a

Q

c

These eight properties of vectors can be readily verified either geometrically or algebraically.

For instance, Property 1 can be seen from Figure 4 (it’s equivalent to the Parallelogram

Law) or as follows for the case n − 2:

a 1 b − ka 1 , a 2 l 1 kb 1 , b 2 l − ka 1 1 b 1 , a 2 1 b 2 l

− kb 1 1 a 1 , b 2 1 a 2 l − kb 1 , b 2 l 1 ka 1 , a 2 l

− b 1 a

(a+b)+c

=a+(b+c)

a+b

b+c

b

We can see why Property 2 (the associative law) is true by looking at Figure 16 and

applying the Triangle Law several times: the vector PQ l is obtained either by first constructing

a 1 b and then adding c or by adding a to the vector b 1 c.

Three vectors in V 3 play a special role. Let

P

a

FIGURE 16

i − k1, 0, 0l j − k0, 1, 0l k − k0, 0, 1l

These vectors i, j, and k are called the standard basis vectors. They have length 1 and

point in the directions of the positive x-, y-, and z-axes. Similarly, in two dimensions we

define i − k1, 0l and j − k 0, 1l. (See Figure 17.)

y

z

(0, 1)

FIGURE 17

Standard basis vectors in V 2 and V 3

j

0

(a)

i

(1, 0)

x

x

k

i

(b)

j

y

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Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

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