Introduction to Vectors

43
Introduction to Vectors UNIT 1

description

Introduction to Vectors. UNIT 1. What is a Vector?. A vector is a directed line segment, can be represented as AB or AB, where A and B are the two endpoints of the line segment. Directed means that the vector has a direction. QUESTION: Which direction is implied for vector AB?. - PowerPoint PPT Presentation

Transcript of Introduction to Vectors

Page 1: Introduction to Vectors

Introduction to Vectors

UNIT 1

Page 2: Introduction to Vectors

What is a Vector?

• A vector is a directed line segment, can be represented as AB or AB, where A and B are the two endpoints of the line segment.

• Directed means that the vector has a direction.

• QUESTION: Which direction is implied for vector AB?

Page 3: Introduction to Vectors

Vectors: Example

A

B

Page 4: Introduction to Vectors

Vector Quantity

• There are exactly two properties that completely characterize a vector:1) Direction – which way does the vector point?2) Magnitude – the length of the vector, written as |XY|

for vector XYTogether the direction and magnitude define the vector quantity.

• QUESTION: What are some examples of vectors that we are already familiar with?

Page 5: Introduction to Vectors

Equal Vectors

• Two vectors are equal vectors if they have both the same direction and magnitude

Page 6: Introduction to Vectors

Three cars on the road are driving in the same direction at the same speed:

Do they have equal velocity vectors?

Page 7: Introduction to Vectors

Opposite Vectors: An opposite vector is a vector with the same magnitude as the original, but opposite direction:

A

B

In this illustration, AB and BA are opposite vectors.

Page 8: Introduction to Vectors

Vector Sum

• A vector sum A + B is defined as a vector that results from placing the initial point of vector B at the terminal point of vector A: the vector with the same initial point as A and the same terminal point as B is the vector sum.

A

B

A + B

Page 9: Introduction to Vectors

Parallelogram Rule

• Another method, called the parallelogram rule, to find A + B is to place vectors A and B so that their initial points coincide, then complete a parallelogram that has A and B as two adjacent sides. The diagonal of the parallelogram with the same initial points is the vector sum:

Page 10: Introduction to Vectors

Parallelogram Rule Example

A

B

A + B

Page 11: Introduction to Vectors

The two methods side by side:

A

B

A + BA

B

A + B

The two methods give identical results for the vector sum

Page 12: Introduction to Vectors

QUESTION

• Two forces of 15 newtons and 22 newtons act at a point in the plane. If the angle between the forces is 100°, find the magnitude of the resultant force:

22

15

100°

Page 13: Introduction to Vectors

QUESTION

• Two forces of 15 newtons and 22 newtons act at a point in the plane. If the angle between the forces is 100°, find the magnitude of the resultant force:

22

15=80

Z 22

100°

Page 14: Introduction to Vectors

Scalar Product

• A real number k and a vector U create the vector kU which has the magnitude |k| times the magnitude of U . kU has the same direction as U if k>0, and the opposite direction if k < 0:– So vector 2U would be twice the length of U and

would point in the same direction as U does:

Page 15: Introduction to Vectors

Scalar Product Examples

U

2U

3U

-U

-2U

-3U

Page 16: Introduction to Vectors

Position Vectors

• A position vector is a vector with its initial point at the origin and with its endpoint at (a, b). It is written <a, b>, so U = <a, b> below:

(a, b)

U

X axis

Y axis

(0, 0)

Page 17: Introduction to Vectors

Direction Angle of <a, b>

• The direction angle is the positive angle between the x-axis and a position vector:

(a, b)

U

X axis

Y axis

(0, 0)

Direction Angle

Page 18: Introduction to Vectors

Direction Angle of <a, b> (cont)

(a, b)

U

X axis

Y axis

(0, 0)

The direction angle θ satisfies tan θ = b/a, where a ≠ 0:

b

a

Page 19: Introduction to Vectors

Magnitude of vector <a, b>

• The magnitude of vector <a, b> is given by |U| =

(a, b)

U

X axis

Y axis

(0, 0)

b

a

Page 20: Introduction to Vectors

QUESTION

• What is the direction angle and magnitude of vector U=<3, -2>?

(3, -2)U

X axis

Y axis

(0, 0)

Page 21: Introduction to Vectors

QUESTION

• What is the direction angle and magnitude of vector <3, -2>?• ANSWER: Direction angle =

326.3°, magnitude =

Page 22: Introduction to Vectors

Horizontal and Vertical Components of a Vector

• The horizontal and vertical components of a vector U are given by:a = |U|cos θ b = |U|sin θ

(a, b)

U

X axis

Y axis

(0, 0)

b = |U|sin θ

a = |U|cos θ

Page 23: Introduction to Vectors

QUESTION

• Calculate the vertical and horizontal components of a vector with direction angle of 40° and a magnitude of 25.

(a, b)

|U|=25

X axis

Y axis

(0, 0)

= 40

Page 24: Introduction to Vectors

QUESTION

• Calculate the horizontal and vertical components of a vector with direction angle of 40° and a magnitude of 25.• ANSWER: x = 19.2, y = 16.1 or

<19.2, 16.1>

Page 25: Introduction to Vectors

Vector Operations Overview

• <a, b> + <c, d> = <a + c, b + d>• k*<a, b> = <ka, kb>• If A = <a1, a2>, then –A = <-a1, -a2>• <a, b> - <c, d> = <a, b> + -<c, d> OR <a, b> + <-c, -d> = <a – c, b – d>

Page 26: Introduction to Vectors

Vector Operations

• For any real numbers a, b, c, and d:<a, b> + <c, d> = <a + c, b + d>

(a, b)

X axis

Y axis

(0, 0)(c, d)

(a+c, b+d)

Page 27: Introduction to Vectors

Vector Operations

• For any real numbers a, b, c, and d:<a, b> + <c, d> = <a + c, b + d><3, 4> + <4, -2> = <7, 2>

(3, 4)

X axis

Y axis

(0, 0)(4, -2)

(7, 2)

Page 28: Introduction to Vectors

Vector Operations (cont)

B

If U = <a1, a2>

Then –U = <-a1, -a2>

Page 29: Introduction to Vectors

Vector Operations

• Scalar multiplication: k*<a,b> = <ka, kb>• Examples:

-3*<4, 7> = <-12, -21>6*<1, 2> = <6, 12>0*<3, 5> = <0, 0>

Page 30: Introduction to Vectors

Vector Operations

(0, 0)

(3, 4)

(0, 0)

(6, 8)U

2U

Page 31: Introduction to Vectors

QUESTION

• Consider the vectors shown in the following figure, and perform the operations:

UV

U + V(4, 3)

X axis

Y axis

(0, 0)

(-2, 1)

(x, y) a)U + Vb)-2Uc) 4U – 3V

Page 32: Introduction to Vectors

Vector Subtraction

A

B

-A

-B

• Vector subtraction is the inverse operation of vector addition and is defined as adding the negative vector:So we have B – A = B + (-A) for all vectors A, BTherefore (see below) B – A = C

C

Page 33: Introduction to Vectors

Vector Subtraction

• <a, b> - <c, d> = <a, b> + -<c, d> OR <a, b> + <-c, -d> = <a – c, b – d>• Examples:

<3, 6> - <4, 4> = <-1, 2><6, -4> - <-2, -5> = <8, 1><0, 1> - <4, 10> = <-4, -9>

Page 34: Introduction to Vectors

Vector Subtraction QUESTIONS

• QUESTION: Express A as a difference of two vectors.

• QUESTION: Express B as a difference of two vectors.

A

B

C

Page 35: Introduction to Vectors

Vector Notation Conventions

• Unit Vectors: i = <1, 0>, j=<0, 1>• i, j Form for Vectors: If v = <a, b>, then v = ai + bj

Page 36: Introduction to Vectors

Unit Vectors

(5, 3)

U

X axis

Y axis

(0, 0) i ii ii

j

j

j

i j

U = 5i + 3j

Page 37: Introduction to Vectors

QUESTION

• Write the vector in the form ai + bj:

<-5,8>

Page 38: Introduction to Vectors

QUESTION

• Write the vector in the form ai + bj:

<-5,8>Answer: If v=<a,b>, then:V=ai + bj, so V = -5i + 8j

Page 39: Introduction to Vectors

Dot Product

• The dot product of the two vectors U = <a, b> and V = <c, d> is denoted by U•V, read “U dot V,” is given by U•V = ac + bd.

• Examples: <2, 3>•<4, -1> = <6, 4>•<-2, 3> =

Page 40: Introduction to Vectors

Geometric Interpretation of the Dot Product

• If θ is the angle between two nonzero vectors U and V, where 0° < θ < 180°, then

U•V = |U|*|V|cos θ• Example:

<2, 0>•<3, 3> = 6 using <a,b>•<c,d>=ac+bdBut it is also true using U•V = |U|*|V|cos θ

Page 41: Introduction to Vectors

Geometric Interpretation of the Dot Product

(3, 3)

U

X axis

Y axis

(0, 0)

(2, 0)

V

U • V = |U||V|cos θ = (3

θ=45

Page 42: Introduction to Vectors

Properties of the Dot Product

U•V = V•UU•(V+W)=U•V + U•W(U + V)•W = U•W + V•W(kU)•V = k(U•V) = U•(kV)0•U = 0U•U = |U|2

Page 43: Introduction to Vectors

The Dot Product Can Be Positive, Zero, or Negative

θθ < 90: Positive dot product

θ

θ

θ > 90: Negative dot product

θ = 90: Zero dot product