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Vektor

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Page 1: Vektor
Page 2: Vektor

Scalar vs Vector

What is the difference between scalar and vector?

Why we have to understand about vector?

Watch this video and tell me what do you think.

Page 3: Vektor

Vector Addition

Page 4: Vektor

Vector Addition (2)

U

V

U

V

U

V

U+V

U

V

U

V U+V

Page 5: Vektor

Parallelogram Rule U + V = V + U

Vector addition is commutative

(U + V) + W = U + (V + W)

Vector addition is associative

When two or more vectors are added, the

order in which they are added doesn’t matter.

U

V

W

U+V+W U

V

W

The sum of

those three

vectors is

zero

Page 6: Vektor

Product of a Scalar and a Vector

The product of a scalar a and a vector U is defined by a vector aU with magnitude |a||U|.

Its direction is the same with U when a is positive and when a is negative, its direction is opposite.

The division of U by a is defined by 1

𝑎 U.

U 2U -U 𝟏

𝟐 U

Page 7: Vektor

Vector Subtraction The difference of two vectors U and V is defined by:

U – V = U + (-1) V

(-1) V

U

U - V

Page 8: Vektor

Unit Vectors Unit vector is a vector whose magnitude is 1.

Any vector U can be expressed as |U|e where e is a unit vector

with the same direction as U.

Dividing a vector U by its magnitude yields a unit vector with

the same direction as U.

U

|U| e

1 𝐔

|𝐔| = e

Page 9: Vektor

Components in Two Dimensions

U y

x Ux

Uy

U y

x

Uxi

Uyj

j

i

A vector U that is parallel to

the x-y plane can be expressed

as

U = Uxi + Uyj

The magnitude of U is

|U| = 𝑈𝑥2 + 𝑈𝑦2

Page 10: Vektor

Manipulating Vectors in Terms of Components

U + V = (Uxi + Uyj) + (Vxi + Vyj)

= (Ux + Vx) i + (Uy + Vy) j

aU = a(Uxi + Uyj)

= aUxi + aUyj

y

x

U+V

U

V

y

x

(Ux+Vx)i

(Uy+Vy)j U+V U+V

Uxi Uyj

Vyj Vxi

Page 11: Vektor

Position Vectors in Terms of Components

y

x

A

B

rAB

(xA, yA)

(xB, yB)

The position vector from A to B is given by

rAB = ( xB – xB)i + (yB – yA)j

Page 12: Vektor

Dot Products Dot products are used to :

1. Evaluate moments of forces about points and lines.

2. Determine the components of a vector parallel and

perpendicular to a given line.

3. Determine the angle between two lines in space.

Etc..

Page 13: Vektor

Dot Products The dot product of two vectors U and V is defined by

U.V = |U||V| cos θ

where θ is the angle between the vectors when they are placed

tail to tail.

If |U| ≠ 0 and |V| ≠ 0, U.V = 0 if and only if U and V are

perpendicular.

θ

U

V

Page 14: Vektor

Dot Products in Terms of Components The dot product of U and V is given in terms of the

components of the vectors by

U.V = UxVx + UyVy

Page 15: Vektor

Vector Components Parallel and Normal to a Line

A vector U can be resolved into

1. A vector component Up that is parallel to a given line L

2. A vector component Un that is normal to L.

L

U

θ

Up Un

If e is a unit vector that is parallel to L, the parallel component of U

is given by

Up = (e.U) e The normal component can be obtained from the relation

Un = U - Up

Page 16: Vektor

Cross Products Cross product of two vector has many applications, such as:

1. Determining moments of forces.

2. Determining the rate of rotation of a fluid particle.

3. Calculating the force exerted on a charged particle by a

magnetic field.

Page 17: Vektor

Cross Products

The cross product of two vectors U and V is defined by

U x V = |U||V| sin ϴ e

The unit vector e is defined to be perpendicular to U and

perpendicular to V and directed so that U, V, e form a right-handed system.

If |U| ≠ 0 and |V| ≠ 0, U x V = 0 if and only U and V are parallel.

Page 18: Vektor

Let’s do the exercises on your sheets!