Copyright © Cengage Learning. All rights reserved. 6 Additional Topics in Trigonometry.

Slides:



Advertisements
Similar presentations
11 Analytic Geometry in Three Dimensions
Advertisements

Dot Product of Two Vectors ac+bd. Example 1 Example 2 u= v=w=
Copyright © 2014, 2010, 2007 Pearson Education, Inc. 1 Section 6.7 Dot Product.
Section 9.3 The Dot Product
10.5 The Dot Product. Theorem Properties of Dot Product If u, v, and w are vectors, then Commutative Property Distributive Property.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved. 6 Additional Topics in Trigonometry.
24. Dot Product of Vectors. What you’ll learn about  How to find the Dot Product  How to find the Angle Between Vectors  Projecting One Vector onto.
Copyright © Cengage Learning. All rights reserved. 6.4 Vectors and Dot Products.
VECTORS AND THE GEOMETRY OF SPACE 12. VECTORS AND THE GEOMETRY OF SPACE So far, we have added two vectors and multiplied a vector by a scalar.
Kinetic energy Vector dot product (scalar product) Definition of work done by a force on an object Work-kinetic-energy theorem Lecture 10: Work and kinetic.
6.4 Vectors and Dot Products
Mrs. Rivas International Studies Charter School..
6.4 Vectors and Dot Products The Definition of the Dot Product of Two Vectors The dot product of u = and v = is Ex.’s Find each dot product.
Vectors and the Geometry of Space Copyright © Cengage Learning. All rights reserved.
Vectors and the Geometry of Space 11 Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
ME 2304: 3D Geometry & Vector Calculus
Vectors and the Geometry of Space
Copyright © Cengage Learning. All rights reserved. 12 Vectors and the Geometry of Space.
Five-Minute Check (over Lesson 8-2) Then/Now New Vocabulary
Juan is sitting on a sled on the side of a hill inclined at 45 ,
Section 7.1 & 7.2- Oblique Triangles (non-right triangle)
H.Melikyan/12001 Vectors Dr.Hayk Melikyan Departmen of Mathematics and CS
1 © 2011 Pearson Education, Inc. All rights reserved 1 © 2010 Pearson Education, Inc. All rights reserved © 2011 Pearson Education, Inc. All rights reserved.
Copyright © Cengage Learning. All rights reserved. Vectors in Two and Three Dimensions.
Vectors and the Geometry of Space Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved. 10 Topics in Analytic Geometry.
1 Copyright © Cengage Learning. All rights reserved. 3 Additional Topics in Trigonometry.
Advanced Precalculus Notes 8.5 The Dot Product The dot product of two vectors is a scalar: If v = 2i – 3j and w = 5i + 3j find: a) v ∙ wb) w ∙ vc) v ∙
Copyright © Cengage Learning. All rights reserved. Vectors in Two and Three Dimensions.
Dot Products Objectives of this Section Find the Dot Product of Two Vectors Find the Angle Between Two Vectors Determine Whether Two Vectors and Parallel.
6.4 Vectors and Dot Products. Dot Product is a third vector operation. This vector operation yields a scalar (a single number) not another vector. The.
Lesson 6.4 – Dot Products The dot product of two vectors is given by
Honors Pre-Calculus 12-4 The Dot Product Page: 441 Objective: To define and apply the dot product.
6-4 Vectors and dot products
6.4 VECTORS AND DOT PRODUCTS Copyright © Cengage Learning. All rights reserved.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 6- 1 What you’ll learn about Two-Dimensional Vectors Vector Operations.
Comsats Institute of Information Technology (CIIT), Islamabad
6.4 Vectors and Dot Products Day
Copyright © Cengage Learning. All rights reserved. 12 Vectors and the Geometry of Space.
1 st Day Section 6.4. Definition of Dot Product The dot product of vector u and vector v is A dot product is always a scalar (real #). Why?
The definition of the product of two vectors is: 1 This is called the dot product. Notice the answer is just a number NOT a vector.
6.4 Vector and Dot Products. Dot Product  This vector product results in a scalar  Example 1: Find the dot product.
12.3 The Dot Product. The dot product of u and v in the plane is The dot product of u and v in space is Two vectors u and v are orthogonal  if they meet.
6.4 Vectors and Dot Products Objectives: Students will find the dot product of two vectors and use properties of the dot product. Students will find angles.
11.6 Dot Product and Angle between Vectors Do Now Find the unit vector of 3i + 4j.
Vector Projections Dr. Shildneck.
Vectors and Dot Products OBJECTIVES: Find the dot product of two vectors and use the properties of the dot product. Find the angle between two vectors.
Vectors and Dot Products 8.4 Part 2. 2  Write a vector as the sum of two vector components.  Use vectors to find the work done by a force. Objectives.
Dot Product of Vectors Today’s Objective: I can calculate the dot product and projections of vectors.
Dot Product of Vectors.
Additional Topics in Trigonometry
Sullivan Algebra and Trigonometry: Section 10.5
Objective: Projection of vector onto another. Orthogonal vectors.
Analytic Geometry in Three Dimensions
Objectives Use properties of the dot product of two vectors.
Objective: Computing work.
11 Vectors and the Geometry of Space
4.4 The Dot Product.
8.5 The Dot Product.
12.3 The Dot Product.
Copyright © Cengage Learning. All rights reserved.
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
11 Vectors and the Geometry of Space
11 Vectors and the Geometry of Space
36. Dot Product of Vectors.
25. Dot Product of Vectors.
Vectors and Dot Products
Presentation transcript:

Copyright © Cengage Learning. All rights reserved. 6 Additional Topics in Trigonometry

6.4 VECTORS AND DOT PRODUCTS Copyright © Cengage Learning. All rights reserved.

3 Find the dot product of two vectors and use the properties of the dot product. Find the angle between two vectors and determine whether two vectors are orthogonal. Write a vector as the sum of two vector components. Use vectors to find the work done by a force. What You Should Learn

4 The Dot Product of Two Vectors

5 In this section, you will study a third vector operation, the dot product. This product yields a scalar, rather than a vector.

6 The Dot Product of Two Vectors

7 Example 1 – Finding Dot Products Find each dot product. a.  4, 5    2, 3  b.  2, –1    1, 2  c.  0, 3    4, –2  Solution: a.  4, 5    2, 3  = 4(2) + 5(3) = = 23 b.  2, –1    1, 2  = 2(1) + (–1)(2) = 2 – 2 = 0

8 Example 1 – Solution c.  0, 3    4, –2  = 0(4) + 3(–2) = 0 – 6 = – 6 cont’d

9 The Angle Between Two Vectors

10 The Angle Between Two Vectors The angle between two nonzero vectors is the angle , 0    , between their respective standard position vectors, as shown in Figure This angle can be found using the dot product. Figure 6.33

11 Example 4 – Finding the Angle Between Two Vectors Find the angle  between u =  4, 3  and v =  3, 5 . Solution: The two vectors and  are shown in Figure Figure 6.34

12 Example 4 – Solution This implies that the angle between the two vectors is cont’d

13 The Angle Between Two Vectors Rewriting the expression for the angle between two vectors in the form u  v = || u || || v || cos  produces an alternative way to calculate the dot product. From this form, you can see that because || u || and || v || are always positive, u  v and cos  will always have the same sign. Alternative form of dot product

14 The Angle Between Two Vectors Figure 6.35 shows the five possible orientations of two vectors. Figure 6.35

15 The Angle Between Two Vectors The terms orthogonal and perpendicular mean essentially the same thing—meeting at right angles. Note that the zero vector is orthogonal to every vector u, because 0  u = 0.

16 Finding Vector Components

17 Finding Vector Components You have already seen applications in which two vectors are added to produce a resultant vector. Many applications in physics and engineering pose the reverse problem— decomposing a given vector into the sum of two vector components. Consider a boat on an inclined ramp, as shown in Figure The force F due to gravity pulls the boat down the ramp and against the ramp. Figure 6.37

18 Finding Vector Components These two orthogonal forces, w 1 and w 2, are vector components of F. That is, F = w 1 + w 2. The negative of component w 1 represents the force needed to keep the boat from rolling down the ramp, whereas w 2 represents the force that the tires must withstand against the ramp. Vector components of F

19 Finding Vector Components A procedure for finding w 1 and w 2 is as shown below

20 Finding Vector Components From the definition of vector components, you can see that it is easy to find the component w 2 once you have found the projection of u onto v. To find the projection, you can use the dot product, as follows. u = w 1 + w 2 = cv + w 2 u  v = (cv + w 2 )  v = cv  v + w 2  v w 1 is a scalar multiple of v. Take dot product of each side with v.

21 Finding Vector Components = c || v || So, and w 2 and v are orthogonal.

22 Example 6 – Decomposing a Vector into Components Find the projection of u =  3, –5  onto v =  6, 2 . Then write u as the sum of two orthogonal vectors, one of which is proj v u. Solution: The projection of u onto v is

23 Example 6 – Solution as shown in Figure cont’d Figure 6.39

24 Example 6 – Solution The other component w 2, is So, cont’d

25 Work

26 Work The work W done by a constant force F acting along the line of motion of an object is given by W = (magnitude of force)(distance) as shown in Figure Force acts along the line of motion. Figure 6.41

27 Work If the constant force F is not directed along the line of motion, as shown in Figure 6.42, the work W done by the force is given by Force acts at angle  with the line of motion. Figure 6.42 Projection form for work

28 Work This notion of work is summarized in the following definition. Alternative form of dot product

29 Example 8 – Finding Work To close a sliding barn door, a person pulls on a rope with a constant force of 50 pounds at a constant angle of 60 , as shown in Figure Find the work done in moving the barn door 12 feet to its closed position. Figure 6.43

30 Example 8 – Solution Using a projection, you can calculate the work as follows. So, the work done is 300 foot-pounds. You can verify this result by finding the vectors F and and calculating their dot product. Projection form for work