Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All...

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Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Transcript of Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All...

Page 1: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Page 2: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

INSERT FIGURE 9-1-1

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Vectors

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

DEFINTION: The sum v+w of two vectors v=<v1,v2> and w=<w1,w2> is formed by adding the vectors componentwise:

Vector Algebra

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

EXAMPLE: Add the vectors v = <−3, 9> and w = <1, 8>.

Vector Algebra

DEFINITION: The zero vector 0 is the vector both of whose components are 0.

DEFINITION: If v = <v1, v2> is a vector and is a real number then we define the scalar multiplication of v by tobe

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Length (or Magnitude) of a Vector

THEOREM: If v is a vector and is a scalar, then

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Unit Vectors and Directions

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Unit Vectors and Directions

DEFINITION: Let v and w be nonzero vectors. We say that v and w have the same direction if dir(v) =dir(w). We say that v and w are opposite in direction if dir(v) = −dir(w). We say that v and w are parallel if either (i) v and w have the same direction or (ii) v and w are opposite in direction. Although the zero vector 0 does not have a direction, it is conventional to say that 0 is parallel to every vector.

Page 10: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Unit Vectors and Directions

THEOREM: Vectors v and w are parallel if and only if at least one of the following two equations holds: (i) v = 0 or (ii) w = v for some scalar . Moreover, if v and w are both nonzero and w = v, then v and w have the same direction if 0 < and opposite directions if < 0.

Page 11: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Unit Vectors and Directions

EXAMPLE: For what value of a are the vectors <a,−1> and <3, 4> parallel?

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

An Application to Physics

EXAMPLE: Two workers are each pulling on a rope attached to a dead tree stump. One pulls in the northerly direction with a force of 100 pounds and the other in the easterly direction with a force of 75 pounds. Compute the resultant force that is applied to the tree stump.

Page 13: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Special Unit Vectors i and j

i=<1,0> and j=<0,1>

Suppose that v=<3,-5> and w=<2,4>. Express v, w, and v+w in terms of i and j.

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Triangle Inequality

EXAMPLE: Verify the Triangle Inequality for the vectors v = <−3, 4> and w = <8, 6>.

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Chapter 9-Vectors9.1 Vectors in the Plane

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Quick Quiz

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Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

EXAMPLE: Sketch the points (3,2,5), (2,3,-3), and (-1,-2,1).

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Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Distance

THEOREM: The distance d(P,Q) between points P=(p1, p2, p3) and Q=(q1, q2, q3) is given by

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Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Distance

EXAMPLE: Determine what set of points is described by the equation

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Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Distance

DEFINITION: Let P0 = (x0, y0, z0) be a point in space and let r be a positive number. The set

is the set of all points inside the sphere

This set is called the open ball with center P0 and radius r.

Page 20: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Vectors in Space

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Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Vector Operations

EXAMPLE: Suppose v=<3,0,1> and w=<0,4,2>. Calculate v+w, and sketch the three vectors.

EXAMPLE: Suppose v=<2,-1,1>. Calculate 3v and -4v.

Page 22: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Length of a Vector

If v=<v1,v2,v3> is a vector, then the length or magnitude of v is defined to be

Page 23: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Unit Vectors and Directions

EXAMPLE: Is there a value of r for which u=<-1/3,2/3,r> is a unit vector?

EXAMPLE: Suppose that v=<4,3,1> and w=<2,b,c>. Are there values of b and c for which v and w are parallel?

Page 24: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.2 Vectors in Three-Dimensional Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Quick Quiz

Page 25: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Algebraic Definition of the Dot Product

DEFINITION: The dot product vw of two vectors v and w is the sum of the products of corresponding entries of v and w.

EXAMPLE: Let u = <2, 3,−1>, v = <4, 6,−2>, and w = <−2,−1,−7>. Calculate the dot products u · v, u · w, and v · w.

Page 26: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Algebraic Definition of the Dot Product

THEOREM: Suppose that u, v, and w are vectors and that is a scalar. The dot product satisfies the following elementary properties:

Page 27: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Algebraic Definition of the Dot Product

EXAMPLE: Let u=<3,2> and v=<4,-5>. Calculate (u v)u+(v u)v

Page 28: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Formula for the Dot Product

THEOREM: Let v and w be nonzero vectors. Then the angle between v and w satisfies the equation

Page 29: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Formula for the Dot Product

EXAMPLE: Calculate the angle between the two vectors v=<2,2,4>and w=<2,-1,1>.

Page 30: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Formula for the Dot Product

Cauchy-Schwarz Inequality:

EXAMPLE: Verify that the two vectors v = <2, 2, 4> and w = <12, 13, 24> satisfy the Cauchy-Schwarz Inequality.

Page 31: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Formula for the Dot Product

DEFINTION: Let be the angle between nonzero vectors v and w. If = /2 then we say that the vectors v and w are orthogonal or mutually perpendicular.

Page 32: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Formula for the Dot Product

THEOREM: Let v and w be any vectors. Then:a) v and w are orthogonal if and only if v · w = 0.

b) v and w are parallel if and only if

c) If v and w are nonzero, and if is the angle between them, then v and w are parallel if and only if = 0or = . In this case, v and w have the same direction if = 0 and opposite directions if = .

Page 33: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Formula for the Dot Product

EXAMPLE: Consider the vectors u = <2, 3,−1>, v = <4, 6,−2>, and w = <−2,−1,−7>. Are any of these vectors orthogonal? Parallel?

Page 34: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Projection

THEOREM: If v and w are nonzero vectors then the projection Pw(v) of v onto w is given by

The length of Pw(v) is given by

Page 35: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Projection

EXAMPLE: Let v = <2, 1,−1> and w = <1,−2, 2>. Calculate the projection of v onto w, the projection of w onto v, and calculate the lengths of these projections.

Also calculate the component of v in the direction of w and the component of w in the direction of v.

Page 36: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Projection and the Standard Basis Vectors

EXAMPLE: Let v = <2,-6,12>. Calculate Pi(v), Pj(v), and Pk(v) and express v as a linear combination of these projections.

Page 37: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Direction Cosines and Direction Angles

EXAMPLE: Calculate the direction cosines and direction angels for the vector

Page 38: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Applications

EXAMPLE: A tow truck pulls a disabled vehicle a total of 20,000 feet. In order to keep the vehicle in motion, the truck must apply a constant force of 3, 000 pounds. The hitch is set up so that the force is exerted at an angle of 30 with the horizontal. How much work is performed?

Page 39: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.3 The Dot Product and Applications

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Quick Quiz

1. Calculate <1, 2,−1> · <3, 4, 2>.

2. Use the arccosine to express the angle between <6, 3, 2> and <4,−7, 4>.

3. For what value of a are <1, a,−1> and <3, 4, a> perpendicular?

4. Calculate the projection of <3, 1,−1> onto <8, 4, 1>.

Page 40: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Cross Product of Two Spatial Vectors

DEFINTION: If v = <v1, v2, v3> and w = <w1,w2,w3>, then we define their cross product v × w to be

Page 41: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Cross Product of Two Spatial Vectors

THEOREM: If v and w are vectors, then v × w is orthogonal to both v and w.

EXAMPLE: Let v = <2,−1, 3> and w = <5, 4,−6>. Calculate v × w. Verify that v × w is orthogonal to both v and w.

Page 42: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Relationship between Cross Products and Determinants

If v = <v1, v2, v3> and w = <w1,w2,w3>, then

EXAMPLE: Use a determinant to calculate the cross product of v = <2,−1, 6> and w = <−3, 4, 1>.

Page 43: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Algebraic Properties of the Cross Product

If u, v, and w are vectors and and are scalars, then

Page 44: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Algebraic Properties of the Cross Product

THEOREM: If v is any vector, then v×v = 0. More generally, if u and v are parallel vectors then u×v = 0.

EXAMPLE: Give an example to show that the cross product does not satisfy a cancellation property.

Give an example to show that the cross product does not satisfy the associative property.

Page 45: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Understanding of the Cross Product

EXAMPLE: Find the standard unit normal for the pairs (i, j) and (j, k) and (k, i). Find also the standard unit normal for the pairs (j, i) and (k, j) and (i, k).

Page 46: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Understanding of the Cross Product

THEOREM: Let v and w be vectors. Thena) b) If v and w are nonzero, thenwhere [0,] denotes the angle between v and w;c) v and w are parallel if and only if v × w = 0;d) If v and w are not parallel, then v × w points in the direction of the standard unit normal for the pair (v,w).

Page 47: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

A Geometric Understanding of the Cross Product

EXAMPLE: Let v = <1,−3, 2> and w = <1,−1, 4>. What is the standard unit normal vector for (v,w)?

Page 48: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cross Products and the Calculation of Area

THEOREM: Suppose that v and w are nonparallel vectors. The area of the triangle determined by v and w is The area of the parallelogram determined by v and w is

EXAMPLE: Find the area of the parallelogram determined by the vectors v=<-2,1,3> and w=<1,0,4>.

Page 49: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Triple Scalar Product

DEFINITION: If u, v, and w are given vectors, then we define their triple scalar product to be the number (u×v) · w.

EXAMPLE: Calculate the triple scalar product of u = <2,−1, 4>, v = <7, 2, 3>, and w = <−1, 1, 2> in two different ways.

Page 50: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Triple Scalar Product

THEOREM: The triple scalar product ofu = <u1, u2, u3>, v = <v1, v2, v3>, and w = <w1,w2,w3> is given by the formula

Page 51: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Triple Scalar Product

EXAMPLE: Use the determinant to calculate the volume of the parallelepiped determined by the vectors <−3, 2, 5>, <1, 0, 3>, and <3,−1,−2>.

Page 52: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

The Triple Scalar Product

THEOREM: Three vectors u ,v, and w are coplanar if and only if u · (v × w) = 0.

Page 53: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Triple Vector Products

DEFINITION: If u, v, and w are given spatial vectors, then each of the vectors u × (v × w) and (u × v) × w is said to be a triple vector product of u, v, and w.

EXAMPLE: Let v and w be perpendicular spatial vectors. Show that

and

Page 54: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.4 The Cross Product and Triple Product

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Quick Quiz

1. Calculate <2, 1, 2> × <1,−2,−1>.

2. Find the area of the parallelogram determined by <2, 1,−2> and <1, 1, 0>.

3. Find the standard unit normal vector for the ordered pair (<2, 1,−2>, <1, 1, 0>) .

4. True or false: a) v × w = w × v b) u × (v × w) = (u × v) × w c) u · v × w = u × v · w?

Page 55: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cartesian Equations of Planes in Space

THEOREM: Let V be a plane in space. Suppose that n=<A,B,C> is a normal vector for V and that P0=(x0,y0,z0) is a point on V. Then

is a Cartesian equation for V.

Page 56: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cartesian Equations of Planes in Space

THEOREM: Suppose at least one of the coefficients A, B, C is nonzero. Then the solution set of the equation

A(x−x0)+B(y−y0)+C(z−z0) = 0

is the plane that has <A,B,C> as a normal vector and passes through the point (x0, y0, z0). The solution set of the equation Ax + By + Cz = D is a plane that has <A,B,C> as a normal vector.

Page 57: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cartesian Equations of Planes in Space

EXAMPLE: Find an equation for the plane V passing through the points P = (2,−1, 4), Q = (3, 1, 2), and R = (6, 0, 5).

EXAMPLE: Find the angle between the plane with Cartesian equation x − y − z = 7 and the plane with Cartesian equation −x + y − 3z = 6.

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Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Parametric Equations of Planes in SpaceTHEOREM: If P0 = (x0, y0, z0) is a point on a plane V and if u = <u1, u2, u3> and v = <v1, v2, v3> are any two nonparallel vectors that are perpendicular to a normal vector for V, then V consists precisely of those points (x, y, z) with coordinates that satisfy the vector equation

When written coordinatewise, equation above yields parametric equations for V:

Page 59: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Parametric Equations of Planes in Space

EXAMPLE: Find parametric equations for the plane V whose Cartesian equation is 3x − y + 2z = 7.

Page 60: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Parametric Equations of Lines in SpaceTHEOREM: The line in space that passes through the point P0 = (x0, y0, z0) and is parallel to the vector m = <a, b, c> has equation

Here P = (x, y, z) is a variable point on the line. In coordinates the equation may be written as three parametric equations:

Page 61: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Parametric Equations of Lines in Space

Page 62: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cartesian Equations of Line in Space

Page 63: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cartesian Equations of Line in Space

EXAMPLE: Find parametric equations of the line of intersection of the two planes

x − 2y + z = 4 and 2x + y − z = 3.

Page 64: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Cartesian Equations of Line in Space

EXAMPLE: Find parametric equations of the line of intersection of the two planes

x − 2y + z = 4 and 2x + y − z = 3.

Page 65: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Calculating Distance

THEOREM: Suppose that P = (x0, y0, z0) is a point and that V is a plane. Let n = <A,B,C> be a normal vector for V and let Q = (x1, y1, z1) be any point on V. The distance between P and V is equal to

Page 66: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

Calculating Distance

EXAMPLE: Find the distance between the point P = (3,−8, 3) and the plane V whose Cartesian equation is 2x + y − 2z = 10.

Page 67: Chapter 9-Vectors Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.

Chapter 9-Vectors9.5 Lines and Planes in Space

Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved

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