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Copyright © Cengage Learning. All rights reserved. 6.3 VECTORS IN THE PLANE Copyright © Cengage Learning. All rights reserved.

What You Should Learn Represent vectors as directed line segments. Write the component forms of vectors. Perform basic vector operations and represent them graphically. Write vectors as linear combinations of unit vectors. Find the direction angles of vectors. Use vectors to model and solve real-life problems.

Introduction Quantities such as force and velocity involve both magnitude and direction and cannot be completely characterized by a single real number. To represent such a quantity, we can use a directed line segment, as shown in Figure 6.15. Figure 6.15

Introduction The directed line segment has initial point P and terminal point Q. Its magnitude (or length) is denoted by and can be found using the Distance Formula. Two directed line segments that have the same magnitude and direction are equivalent. For example, the directed line segments in Figure 6.16 are all equivalent. Figure 6.16

Introduction The set of all directed line segments that are equivalent to the directed line segment is a vector v in the plane, written Vectors are denoted by lowercase, boldface letters such as u, v, and w.

Example 1 – Vector Representation by Directed Line Segments Let u be represented by the directed line segment from P(0, 0) to Q(3, 2), and let v be represented by the directed line segment from R(1, 2) to S(4, 4), as shown in Figure 6.17. Show that u and v are equivalent. Figure 6.17

Component Form of a Vector The directed line segment whose initial point is the origin is often the most convenient representative of a set of equivalent directed line segments. This representative of the vector v is in standard position. A vector whose initial point is the origin (0, 0) can be uniquely represented by the coordinates of its terminal point (v1, v2). This is the component form of a vector v, written as v = v1, v2.

Component Form of a Vector The coordinates v1 and v2 are the components of v. If both the initial point and the terminal point lie at the origin, v is the zero vector and is denoted by 0 = 0, 0.

Component Form of a Vector Two vectors u = u1, u2 and v = v1, v2 are equal if and only if u1 = v1 and u2 = v2. For instance, in Example 1, the vector u from P(0, 0) to Q(3, 2) is u = = 3 – 0, 2 – 0 = 3, 2, and the vector v from R(1, 2) to S(4, 4) is v = = 4 – 1, 4 – 2 = 3, 2.

Example 2 – Finding the Component Form of a Vector Find the component form and magnitude of the vector that has initial point (4, –7) and terminal point (–1, 5).

Vector Operations The two basic vector operations are scalar multiplication and vector addition. In operations with vectors, numbers are usually referred to as scalars. In this section, scalars will always be real numbers. Geometrically, the product of a vector v and a scalar k is the vector that is |k| times as long as v.

Vector Operations If k is positive, kv has the same direction as v, and if k is negative, kv has the direction opposite that of v, as shown in Figure 6.19. To add two vectors u and v geometrically, first position them (without changing their lengths or directions) so that the initial point of the second vector v coincides with the terminal point of the first vector u. Figure 6.19

Vector Operations The sum u + v is the vector formed by joining the initial point of the first vector u with the terminal point of the second vector v, as shown in Figure 6.20. Figure 6.20

Vector Operations This technique is called the parallelogram law for vector addition because the vector u + v, often called the resultant of vector addition, is the diagonal of a parallelogram having adjacent sides u and v.

Vector Operations The negative of v = v1, v2 is –v = (–1)v and the difference of u and v is u – v = u + (–v) = u1– v1, u2 – v2. Negative Add (–v) See Figure 6.21 Difference u – v = u + (–v) Figure 6.21

Vector Operations To represent u – v geometrically, you can use directed line segments with the same initial point. The difference u – v is the vector from the terminal point of v to the terminal point of u, which is equal to u + (–v), as shown in Figure 6.21. The component definitions of vector addition and scalar multiplication are illustrated in Example 3. In this example, notice that each of the vector operations can be interpreted geometrically.

Example 3 – Vector Operations Let v = –2, 5 and w = 3, 4, and find each of the following vectors. a. 2v b. w – v c. v + 2w

Vector Operations Vector addition and scalar multiplication share many of the properties of ordinary arithmetic. Property 9 can be stated as follows: the magnitude of the vector cv is the absolute value of c times the magnitude of v.

Unit Vectors In many applications of vectors, it is useful to find a unit vector that has the same direction as a given nonzero vector v. To do this, you can divide v by its magnitude to obtain u = unit vector Note that u is a scalar multiple of v. The vector u has a magnitude of 1 and the same direction as v. The vector u is called a unit vector in the direction of v. Unit vector in direction of v

Example 4 – Finding a Unit Vector Find a unit vector in the direction of v = –2, 5 and verify that the result has a magnitude of 1.

Unit Vectors The unit vectors 1, 0 and 0, 1 are called the standard unit vectors and are denoted by i = 1, 0 and j = 0, 1 as shown in Figure 6.25. (Note that the lowercase letter i is written in boldface to distinguish it from the imaginary number ) Figure 6.25

Unit Vectors These vectors can be used to represent any vector v = v1, v2, as follows. v = v1, v2 = v11, 0 + v20, 1 = v1i + v2 j The scalars v1 and v2 are called the horizontal and vertical components of v, respectively.

Unit Vectors The vector sum v1i + v2 j is called a linear combination of the vectors i and j. Any vector in the plane can be written as a linear combination of the standard unit vectors i and j.

Direction Angles If u is a unit vector such that  is the angle (measured counterclockwise) from the positive x-axis to u, the terminal point of u lies on the unit circle and you have u = x, y = cos , sin   = (cos  )i + (sin  )j as shown in Figure 6.27. The angle  is the direction angle of the vector u. ||u|| = 1 Figure 6.27

Direction Angles Suppose that u is a unit vector with direction angle . If v = ai + bj is any vector that makes an angle  with the positive x-axis, it has the same direction as u and you can write v = ||v||cos , sin   = ||v||(cos  )i + ||v||(sin  )j.

Direction Angles Because v = ai + bj = ||v||(cos  )i + ||v||(sin  )j, it follows that the direction angle  for v is determined from Quotient identity Multiply numerator and denominator by ||v||. Simplify.

Example 7 – Finding Direction Angles of Vectors Find the direction angle of each vector. a. u = 3i + 3j b. v = 3i – 4j

Example 8 – Finding the Component Form of a Vector Find the component form of the vector that represents the velocity of an airplane descending at a speed of 150 miles per hour at an angle 20 below the horizontal, as shown in Figure 6.30. Figure 6.30

Example 10 Using Vectors to Find Speed and Direction An airplane is traveling at a speed of 724 kilometers per hour at a bearing of N 30 E. If the wind velocity is 32 kilometers per hour from the west, find the resultant speed and direction of the plane.