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Calculus 2nd Edition Rogawski

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694 C H A P T E R 13 VECTOR GEOMETRY<br />

FIGURE 1 The spiral paths of charged<br />

particles in a bubble chamber in the<br />

presence of a magnetic field are described<br />

using cross products.<br />

FIGURE 2 The Van Allen radiation belts,<br />

located thousands of miles above the<br />

earth’s surface, are made up of streams of<br />

protons and electrons that oscillate back<br />

and forth in helical paths between two<br />

“magnetic mirrors” set up by the earth’s<br />

magnetic field. This helical motion is<br />

explained by the “cross-product” nature<br />

of magnetic forces.<br />

The theory of matrices and determinants is<br />

part of linear algebra, a subject of great<br />

importance throughout mathematics. In<br />

this section, we discuss just a few basic<br />

definitions and facts needed for our<br />

treatment of multivariable calculus.<br />

13.4 The Cross Product<br />

This section introduces the cross product v × w of two vectors v and w. The cross product<br />

(sometimes called the vector product) is used in physics and engineering to describe<br />

quantities involving rotation, such as torque and angular momentum. In electromagnetic<br />

theory, magnetic forces are described using cross products (Figures 1 and 2).<br />

Unlike the dot product v · w (which is a scalar), the cross product v × w is again a<br />

vector. It is defined using determinants, which we now define in the 2 × 2 and 3 × 3 cases.<br />

A2× 2 determinant is a number formed from an array of numbers with two rows and two<br />

columns (called a matrix) according to the formula<br />

∣ a<br />

c<br />

b<br />

d ∣ = ad − bc 1<br />

Note that the determinant is the difference of the diagonal products. For example,<br />

∣ 3 2<br />

∣∣∣ ∣ 1<br />

2<br />

4 ∣ = 3 2<br />

1<br />

2<br />

4 ∣ −<br />

∣ 3 2<br />

1<br />

2<br />

4 ∣ = 3 · 4 − 2 · 1<br />

2 = 11<br />

The determinant of a 3 × 3 matrix is defined by the formula<br />

∣<br />

∣<br />

a 1 b 1 c 1 ∣∣∣∣∣ ∣ ∣ ∣∣∣ b<br />

a 2 b 2 c 2 = a 2 c 2 ∣∣∣<br />

1<br />

b<br />

a 3 b 3 c 3 c 3 3<br />

(1, 1)-minor<br />

∣ ∣ ∣ ∣ ∣∣∣ a<br />

− b 2 c 2 ∣∣∣ ∣∣∣ a<br />

1 + c 2 b 2 ∣∣∣<br />

c 1 3 b 3<br />

a 3<br />

(1, 2)-minor<br />

a 3<br />

(1, 3)-minor<br />

This formula expresses the 3 × 3 determinant in terms of 2 × 2 determinants called<br />

minors. The minors are obtained by crossing out the first row and one of the three columns<br />

of the 3 × 3 matrix. For example, the minor labeled (1, 2) above is obtained as follows:<br />

∣ a 1 b 1 c 1 ∣∣∣∣∣<br />

a 2 b 2 c 2 to obtain the (1, 2)-minor<br />

∣ a ∣<br />

2 c 2 ∣∣∣<br />

∣<br />

a<br />

a 3 b 3 c 3 c 3 3<br />

Cross out row 1 and column 2<br />

EXAMPLE 1 A 3 × 3 Determinant Calculate<br />

Solution<br />

∣<br />

2 4 3<br />

0 1 −7<br />

−1 5 3<br />

∣<br />

2 4 3<br />

0 1 −7<br />

−1 5 3<br />

∣ .<br />

(1,2)-minor<br />

∣ ∣ ∣ ∣∣∣ ∣ = 2 1 −7<br />

∣∣∣ 5 3 ∣ − 4 0 −7<br />

∣∣∣ −1 3 ∣ + 3 0 1<br />

−1 5 ∣<br />

= 2(38) − 4(−7) + 3(1) = 107<br />

2<br />

Later in this section we will see how determinants are related to area and volume.<br />

First, we introduce the cross product, which is defined as a “symbolic” determinant whose<br />

first row has the vector entries i, j, k.<br />

CAUTION Note in Eq. (3) that the middle<br />

term comes with a minus sign.<br />

DEFINITION The Cross Product The cross product of vectors v = ⟨a 1 ,b 1 ,c 1 ⟩ and<br />

w = ⟨a 2 ,b 2 ,c 2 ⟩ is the vector<br />

∣ i j k ∣∣∣∣∣ v × w =<br />

a 1 b 1 c 1 =<br />

∣ b ∣ 1 c 1 ∣∣∣ i −<br />

∣<br />

b<br />

a 2 b 2 c 2 c 2<br />

∣ a ∣ 1 c 1 ∣∣∣ j +<br />

a 2 c 2<br />

∣ a 1<br />

a 2 2<br />

∣<br />

b 1 ∣∣∣<br />

k<br />

b 2<br />

3

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