Vector Algebra

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Unit vector in k coordinate direction

(0,0,1)

Unit vector in j coordinate direction

(0,1,0)

Unit vector in i coordinate direction

(1,0,0)

Area of a triangle using vector product

(1/2) | a*b |

Associative law for vectors

(a + b) + c = a + (b + c)

Anti-commutative law (vector product)

(a*b) = -(b*a)

Equation of line in component form

(x, y, z) = (1-t)(a1, a2, a3) + t(b1, b2, b3) or t = ((x - a1)/(b1 - a1)) = ((y - b2)/(b2 - a2)) = ((z - b3)/(b3 - a3))

k*j =

-i

i*k =

-j

j*i =

-k

If 3 vectors are co-planar, the triple scalar product =

0

If any 2 vectors are parallel, the triple scalar product =

0

i*i =

0

i.j =

0

j*j =

0

j.k =

0

k*k =

0

k.i =

0

i^2 =

1

j^2 =

1

k^2 =

1

The 2 things required to calculate the direction cosines (Cartesian system)

1. Coordinates of the point 2. The length from the origin to the point

Cartesian vector method for solving resultant

1. Express components as Cartesian vectors 2. Sum the vectors

3 Examples of vectors

1. Force 2. Velocity 3. Acceleration

3 Examples of scalars

1. Length 2. Area 3. Volume 4. Mass 5. Time

2 Ways vectors are used

1. Locate points in 3-D 2. Describe points, lines and planes in 3-D

2 Features of a Dyad

1. Magnitude 2. 2 Directions 3. 9 Components

2 Features of a Triad

1. Magnitude 2. 3 Directions 3. 27 Components

2 Other words for vector magnitude

1. Modulus 2. Length

3 Types of vectors

1. Position 2. Line 3. Free

3 Points about a scalar product

1. Produces a number 2. Product of vectors 3. Essential to use dot

Scalar method for solving resultant

1. Resolve components into x, y and z components 2. Sum components algebraically 3. Find resultants across each axis

3 Points about vector product

1. The 3 vectors form an orthogonal right-handed set 2. Creates a vector 3. Order of multiplication matters (b*a opposite to a*b)

The 2 triple product of vectors

1. Triple vector product: (a*b)*c 2. Triple scalar product: (a*b).c

The 2 types of vector multiplication

1. Vector/cross product 2. Scalar/dot/inner product

Determinant method of vector product

1. Write unit vector and 2 vectors as 3 matrix rows 2. Solve as a determinant of the matrix

Anti-parallel vectors definition

2 Vectors with the opposite direction, and different magnitude eg a = -2b

Parallel vectors definition

2 Vectors with the same direction, but different magnitude eg a = 2b

Any free can be represented by ...

3 Coordinates

In printed work vectors are shown as ...

A bold interface

Principle of transmissibility

A force may be applied anywhere along its line of action and still create the same moment about the origin (M = F*r1 = F*r2 = F*r3)

3 Distinct points that do not lie on the same line form ....

A unique plane

A set of numbers or 3-tuple represent ...

A vector in 3D

Scalar multiplication produces ...

A vector parallel/anti-parallel to the original vector

Line vector definition

A vector that can 'slide' along its line of action

Position vector definition

A vector that gives the position of a point relative to a fixed point

Free vector definition

A vector that is completed defined by its magnitude and direction

Unit vector definition

A vector whose modulus is 1

Position coordinates cannot be ...

Added or subtracted

Work done definition

Amount of displacement along the direction of the applied force

In handwritten work vectors are usually shown as ...

An underlined bold interface

Vectors cannot be ... like scalars

Cancelled

Associative law (scalar product)

Cannot have a scalar product of 3 vectors (a.b.c is not defined)

Within the Cartesian system, the position of any point is given by ...

Coordinates (x,y,z) or components (x1,x2,x3)

The sum a + b of vectors is represented by the ....

Diagonal in the parallelogram rule

When 2 distinct points are known you can ...

Draw a unique straight line through them

Triangle law for vectors

If 2 vectors are represented in magnitude and direction by 2 sides of a triangle in order, their sum is represented by the closing 3rd side

Polygon law for vectors

If lines are drawn to represent 5 vectors, the closing side represents the summed vector

Vectors can be represented geometrically by ...

Line segments in space

Vectors are represented by ...

Lines with arrows

Moment of a force

M = r*F = | F | | r | sin(θ) n ̂ F = force magnitude r = perpendicular distance from origin to force line of action θ = angle between line of action and axis n ̂ = unit vector normal to r and F

The length of a vector line represents its ...

Magnitude

Vectors have ...

Magnitude and direction

Scalars have ...

Magnitude only

Cartesian coordinates definition

Numbers that indicate a point location fixed to the origin, in 2-D or 3-D axes at right angles

A normal vector specifies the ... on a plane

Orientation

Moments add by the ....

Parallelogram rule

A line on a plane is ... to the normal of the plane

Perpendicular

A vector must satisfy the ....

Rules of addition and multiplication

Direction cosines (Cartesian system) definition

The cosines of the angles that OP makes with each axis OP = a line from the origin to a point

Parallelogram rule for vectors

The sum/resultant of 2 vectors is found by forming a parallelogram with the 2 vectors as adjacent sides

The subtraction law for vectors shows ...

The vector of a line joining 2 points is the difference of the point position vectors

The unit vector n ̂ changes direction when ...

The vector product is reversed

The triple scalar product can be used to calculate ...

The volume of a parallelogram

If 2 vectors are perpendicular ...

Their scalar product is 0

If 2 vectors are parallel ....

Their vector product is 0

2 Vectors are equal if ...

They have the same magnitude and direction

A normal vector and the coordinates of one point on the plane ....

Uniquely identify a specific plane

(a*b).c = a.(b*c) = b.(c*a) all give the same ... for a parallelogram

Volume

Vector product equation

a * b = | a | | b | sin θ n ̂ θ = angle between vectors n ̂ = unit vector normal to vectors

Commutative law for vectors

a + b = b + a (order not important)

Subtraction law for vectors

a - b = a + (-b)

Distributive law (vector addition, vector product)

a*(b + c) = (a*b) + (a*c)

Non-associative law (vector product)

a*(b*c) ≠ (a*b)*c

Distributive law (vector product)

a*(λb) = (aλ)*b

Vector product equation (component form)

a*b = (a2*b3 - a3*b2)i - (a1*b3 - a3*b1)j + (a1*b2 - a2*b1)k

Distributive law (vector addition, scalar product)

a.(b + c) = a.b + a.c

Distributive law (scalar product)

a.(λb) = (aλ).b = λ(a.b)

Scalar product equation (component form)

a.b = a1b1 + a2b2 + a3b3

Commutative law (scalar product)

a.b = b.a | a | | b | cos θ = | b | | a | cos θ

Scalar product equation (geometrical form)

a.b = | a | | b | cos θ θ = angle between vectors

a.a =

a1^2 + a2^2 + a3^2

Component form of a vector

ai + aj + ak

Cosine rule

a² = b² + c² - 2bcCosA

j*k =

i

k*i =

j

i*j =

k

Distributive law for vectors

k(a + b) = ka + kb k = scalar value

Direction cosines (Cartesian system) equations

l = direction cosine in x axis m = direction cosine in y axis n = direction cosine in z axis x,y,z = coordinates r = length of line from origin to point

Cartesian equation of a plane

n1*x + n2*y + n3*z = p

Equation of line in vector form

r = a + t(b - a) or r = (1 - t)a + tb a = position vector of line b = position vector of line t = multiple of length ab

Any vector can be written in components of the unit vectors as ...

r = xi + yj + zk

Example of a Cartesian vector

r = xi + yj + zk

Vector equation of a plane

r.n = a.n or r.n = p r = line on plane n = normal vector a= position vector of point in plane p = plane

If vector analysis is used, the moment of a force about an axis =

u.(F*r) u = dreciton of axis r = distance to any point on line of action of force F = force

Moment of a force (magnitude)

| M | = | F | | r | sin θ | F | = force magnitude | r | = perpendicular distance from origin to force line of action θ = angle between line of action and axis

Area of a parallelogram using vector product

| a*b |


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