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The following presentation is on the basis of Vectors – one part for level 4 Mathematics. This resources is a part of the 2009/2010 Engineering (foundation degree, BEng and HN) courses from University of Wales Newport (course codes H101, H691, H620, HH37 and 001H). This resource is a part of the core modules for the full time 1st year undergraduate programme. The BEng & Foundation Degrees and HNC/D in Engineering are designed to meet the needs of employers by placing the emphasis on the theoretical, practical and vocational aspects of engineering within the workplace and beyond. Engineering is becoming more high profile, and therefore more in demand as a skill set, in today’s high-tech world. This course has been designed to provide you with knowledge, skills and practical experience encountered in everyday engineering environments.
Citation preview
1
Vectors
Mathematics 1Level 4
© University of Wales Newport 2009 This work is licensed under a Creative Commons Attribution 2.0 License.
2Vectors
The following presentation is on the basis of Vectors – one part for level 4 Mathematics. This resources is a part of the 2009/2010 Engineering (foundation degree, BEng and HN) courses from University of Wales Newport (course codes H101, H691, H620, HH37 and 001H). This resource is a part of the core modules for the full time 1 st year undergraduate programme.
The BEng & Foundation Degrees and HNC/D in Engineering are designed to meet the needs of employers by placing the emphasis on the theoretical, practical and vocational aspects of engineering within the workplace and beyond. Engineering is becoming more high profile, and therefore more in demand as a skill set, in today’s high-tech world. This course has been designed to provide you with knowledge, skills and practical experience encountered in everyday engineering environments.
Contents Introduction Vector Addition and Resolution Vector Subtraction The Unit Triad The Scalar Product of Two Vectors The Vector Product of Two Vectors Credits
In addition to the resource below, there are supporting documents which should be used in combination with this resource. Please see:•KA Stroud & DJ Booth, Engineering Mathematics, 8th Editon, Palgrave 2008.•http://www.mathcentre.ac.uk/•Derive 6
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IntroductionDefinitions of Vectors and Scalars
Physical quantities can be classified under two main headings -- Vectors and Scalars.
A vector quantity is any quantity that has both magnitude (size) and direction.E.g., velocity, acceleration, force, momentum.
A scalar quantity is any quantity that has magnitude only, while direction is not taken into account. E.g., speed, pressure, temperature, energy.
Vectors
4
Vectors are represented by lines with arrow. The length of the line indicates the magnitude of the vector, and the direction of the line indicates the vector's direction. An arrow is used to denote the sense of the vector, i.e. for a horizontal vector, say, whether it acts from left to right or vice versa. The arrow is positioned at the end of the vector and its position is called the nose of the vector.
Vector Addition and Resolution
A vector of 20kN acting at an angle of 45º to the horizontal may be depicted by:
oa = 20kN at 45º to the horizontal
45º
a
o
20kN
Vectors
5
To distinguish between vector and scalar quantities, different conventions are used. The one these notes will adopt is to denote vector quantities in bold print. (Note in these presentations they will also be in blue while the scalar will be in plain text and red – the colour will not help with the copied notes).
Thus oa represents the vector quantity but oa is the magnitude of vector oa. Also the convention is that positive angles will be measured in an anticlockwise direction from the horizontal right facing line and negative angles clockwise from this line.
Thus 90º is a line vertically upwards and -90º is a line vertically downwards
Vectors
6
Let us say we want to add two vectors together, say F1 at angle θ1 and F2 at angle θ2 as shown.
θ1
F1
θ2F2
The resultant can be obtained by drawing oa to represent F1 and then drawing ar to represent F2. The resultant of F1 and F2 is given by or. This is called the nose-to-tail method of vector addition.
F1F2
o
a
r
Vectors
7
Alternatively, by drawing lines parallel to F1 and F2 from the noses of F2 and F1 respectively, and letting the intersection of these lines be R, gives OR as the magnitude and direction of the resultant of adding F1 and F2. This is called the parallelogram method of vector addition.
F1
F2
O
R
These two methods are graphical and rely on the accuracy of the drawing of the lines. There is a purely mathematical method for adding these vectors and it is shown on the next slide.
Vectors
8
A vector can be resolved into two component parts such that the two new vectors are equal to the original vector. The two components are normally a horizontal component and a vertical component.
F
θo
a
F cosθ
F sinθ
Consider the vector F.
If we need to sum a number of vectors then if each is resolved into two directions then the resultant vertical and horizontal components can then be conventionally summed as they are in the same direction.
Vectors
9
Vectors F1 and F2 are to be summed.
F1
θ1
F1 cosθ1
F1 sinθ1
The two horizontal vectors sum to give:
H = F1 cosθ1 + F2 cosθ2
The two vertical vectors sum to give:
V = F1 sinθ1 + F2 sinθ2
F2
θ2
F2 sinθ2
F2 cosθ2
Once we have the two resultant vectors V and H we can determine the single resultant by using Pythagoras and trig: Magnitude of the resultant
Angle to the horizontal is given by
22 VH R
HV
tan 1
10
Note Resolving the vectors may result in vertical and horizontal components which are either up or down (for the vertical) or to the left or right (for the horizontal). To the right and up are taken as the positive direction and to the left and down as negative. If the angle is measured anticlockwise from the axis to the right then modern calculators will automatically generate the correct sign.
60º
10N
The angle that would be used is 120º
V = 10 sin 120º = 8.66
H = 10 cos 120º = -5
Vectors
11
It must be remembered that the subtraction F1 – F2 can be thought of as F1 + (-F2).So how do we find the negative of a vector?
Vector Subtraction
In the diagram F is represented by oa.
The vector –oa can be obtained by drawing a vector from o in the opposite sense to have the same magnitude, shown as ob. ob = -oa
Fa
b
o
-F Note-F is the same as F but with an angle increase of 180º
Vectors
12
For two vectors acting at a point the resulting vector addition is os = oa + ob
o a
b s
If we now want ob + (-oa) or ob – oa then we will have od = ob - oa o-a
bd
Comparing od with the first diagram, it is the same as the line ab. Therefore when we complete the parallelogram the two diagonals give us the sum and the difference vectors.
Vectors
13
Example1. Vector F1 has magnitude 8, with direction θ=30°;
vector F2 has magnitude 12, with direction θ=60°.
Use (1) vector diagram, (2) vector resolution
to get the resultant force F=F1+F2
2. Vector F1 has magnitude 6, with direction θ=120°;
vector F2 has magnitude 10, with direction θ=-30°.
Use (1) vector diagram, (2) vector resolution
to get the resultant force F=F1+F2
3. Vector F1 has magnitude 9, with direction θ=240°;
vector F2 has magnitude 18, with direction θ=-60°.
Use (1) vector diagram, (2) vector resolution
to get the resultant force F=F1+F2
14
When a vector x of magnitude x and direction θº is divided by the magnitude of the vector the result is a vector of unit length at an angle θº. The unit vector of a velocity 10 m/s at 50º is
The Unit Triad.
501..m/s10
50m/s10atei
at
In general the unit vector for oa is: oa/|oa|
oa being a vector with both magnitude and direction and
|oa| being the magnitude of the vector only.
Vectors
15
One method of completely specifying the direction of a vector in space relative to some reference point is to use three unit vectors mutually at right angles to each other.
oijk
x
y
z
This is called a unit triad.
The next slide shows how this is used to specify a three dimensional vector.
Vectors
16
In the diagram below one way of getting from o to r is to move x units in the i direction, to a point a, y units in the j direction to get to b and z units in the k direction to get to r.
o
i
jk
x
y
z
a b
r
The vector or is specified as: xi + yj + zk
sin
coscos
sincos
rz
ry
rx
α
β
Vectors
17
Example
1. A spatial vector r has magnitude of 10 at direction α=60° and β=30°.
Re-write the vector in the form of xi + yj + zk.
2. A spatial vector r has magnitude of 8 at direction α=120° and β=-30°.
Re-write the vector in the form of xi + yj + zk.
3. A spatial vector r has magnitude of 12 at direction α=240° and β=-60°.
Re-write the vector in the form of xi + yj + zk.
Vectors
18
When a vector oa is multiplied by a scalar quantity k, the magnitude of the resultant vector will be k times the magnitude of oa and its direction will remain the same. Thus 2 x 5N at 20º results in a vector 10N at 20º.
One of the products of two vector quantities is called the scalar or dot product of the two vectors and is defined as the product of their magnitudes multiplied by the cosine of the angle between them The scalar product of oa and ob is shown as oa • ob. For vectors oa = oa at θ1º, and ob = ob at θ2º, where θ2> θ1, the scalar product is:
oa • ob = oa ob cos(θ2 - θ1)
The Scalar Product of Two Vectors
Vectors
19
For the vectors v1 and v2 shown, the scalar product is v1 • v2 = v1 v2 cosθ
The cumulative law of algebra, a x b = b x a, applies to the scalar product.
θ
v1
v2
If v1 is oa and v2 is ob then this is shown below:
θ v1
v2
v2 cosθ
ao
bBy geometry it can be seen that the projection of ob on oa is v2 cosθ. But we know that:
v1 • v2 = v1 v2 cosθ = v1 (v2 cosθ)
v1 • v2 = v1 times the projection of v2 on v1
20
Similarly:
θ v1
v2
v1 cosθ
ao
bBy geometry it can be seen that the projection of oa on ob is v1 cosθ. But we know that:
v1 • v2 = v1 v2 cosθ = v2 (v1 cosθ)
v1 • v2 = v2 times the projection of v1 on v2This shows that the scalar product of two vectors is
the product of the magnitude of one vector and the magnitude of the projection of the other vector on it.
The angle between the two vectors can be expressed in terms of the vector constants as follows:
abba
costhen cosabbaBecause
θ
Vectors
21
Three dimensional space:
Let a = a1i + a2j + a3k and b = b1i + b2j + b3k
a•b = (a1i + a2j + a3k) • (b1i + b2j + b3k)
a•b = a1b1i•i + a1b2i•j + a1b3i•k + a2b1j•i + a2b2j•j + a2b3j•k + a3b1k•i + a3b2k•j + a3b3k•k
The unit vectors i, j and k have length 1 and are at 90º to each other and so any unit vector when scalar product combined with itself will give:
i•i = 1 x 1 x cos 0º = 1
Whilst any unit vector when scalar product combined with a different one will give: i•j = 1 x 1 x cos 90º = 0
Therefore a•b = a1b1 + a2b2 + a3b3
Vectors
22
Three dimensional space:
O
P
AB
a
b
c
From the diagram the length of OP in terms of the side lengths can be determined as follows:
OP2 = OB2 + BP2 and OB2 = OA2 + AB2
Thus OP2 = OA2 + AB2 + BP2
OP2 = a2 + b2 + c2
222 cbaOP
For our two vectors:
Using,
23
22
21
23
22
21 bbbbandaaaa
23
22
21
23
22
21
332211
abba
cosbbbaaa
bababaθ
Vectors
23
Example
1. For a = 2i - 3j + 4k, b = 5i + 2j + 6k, find and .ba cos
2. For a = -5i + 3j -6 k, b = 2i - 2j + 3k, find and .ba cos
3. For a = 7i - j + 3k, b = i + 3j - 4k, find and .ba cos
4. For a = 2i + 3j + 5k, b = 4i + 2j - 3k, find and .ba cos
Vectors
24
The second product of two vectors is called the vector product or cross product and is defined in terms of its modulus and the magnitudes of the two vectors and the sine of the angle between them. The vector product of vectors oa and ob is written as oa x ob and is defined by:|oa x ob| = oa ob sinθ, where θ is the angle between the two vectors. The direction of oa x ob is perpendicular to both oa and ob as shown:
The Vector Product of Two Vectors
θa
b
θa
b
oa x ob
ob x oa
Vectors
25
The direction is obtained by considering that a right handed screw is screwed along oa x ob with its head at the origin and if the direction of oa x ob is correct, the head should rotate from oa to ob (left hand diagram – previous slide). If the vector product is reversed then the direction of ob x oa is reversed (right hand diagram).
This oa x ob ≠ ob x oa. The magnitudes are the same (oa ob sinθ) but their directions are 180º displaced i.e.
oa x ob = - ob x oa
Vectors
26
Three dimensional space:
Once again let a = a1i + a2j + a3k and b = b1i + b2j + b3k
axb = (a1i + a2j + a3k) x (b1i + b2j + b3k)
axb = a1b1ixi + a1b2ixj + a1b3ixk + a2b1jxi + a2b2jxj + a2b3jxk + a3b1kxi + a3b2kxj + a3b3kxk
The unit vectors i, j and k have length 1 and are at 90º to each other and so any unit vector when vector product combined with itself will give:
ixi = 1 x 1 x sin 0º = 0
Whilst any unit vector when vector product combined with a different one will give: ixj = 1 x 1 x sin 90º = 1 Vectors
27
Three dimensional space:The direction will be the same as the thirds unit vector:
i x j = k j x i = -k j x k = i k x j = -ik x i = j i x k = -j
ij
k
Therefore axb = a1b2k - a1b3j - a2b1k + a2b3i + a3b1j - a3b2i
axb = (a2b3 - a3b2)i + (a3b1 - a1b3)j + (a1b2 - a2b1)k
The magnitude of the vector product of two vectors can be found by expressing it in scalar product form and then using the relationship a•b = a1b1 + a2b2 + a3b3
Vectors
28
Express the cross-product of two vectors in a determinant form
ij
k
321
321
bbb
aaa
kji
ba
Vectors
29
Three dimensional space:
Squaring both sides of the vector product equation gives:
|a x b| = a b sinθ so (|a x b|)2 = a2 b2 sin2θ
sin2 θ + cos2 θ = 1 so sin2 θ = 1 - cos2 θ
So (|a x b|)2 = a2 b2 (1 - cos2θ)
(|a x b|)2 = a2 b2 - a2 b2 cos2θ
But we know that
a•b = a b cosθ therefore a•a = a2 cos0 = a2
And square this then multiply by a2b2
abba
θ cos
222
222222 ba
baba
baθcosba
Vectors
30
Three dimensional space:
Using (|a x b|)2 = a2 b2 - a2 b2 cos2θ
And substituting in gives us…
(|a x b|)2 = (a • a)(b • b) – (a • b)2
2b)(ab)a)(b(aba
Example for the vectors:
a = i + 4j – 2k and b = 2i – j + 3k
Determine a x b and |a x b|
Vectors
31
Example
1. For a = 2i - 3j + 4k, b = 5i + 2j + 6k, find and .ba
2. For a = -5i + 3j -6 k, b = 2i - 2j + 3k, find and .ba
3. For a = 7i - j + 3k, b = i + 3j - 4k, find and .ba
4. For a = 2i + 3j + 5k, b = 4i + 2j - 3k, find and .ba
ba
ba
ba
ba
Vectors
32
This resource was created by the University of Wales Newport and released as an open educational resource through the Open Engineering Resources project of the HE Academy Engineering Subject Centre. The Open Engineering Resources project was funded by HEFCE and part of the JISC/HE Academy UKOER programme.
© 2009 University of Wales Newport
This work is licensed under a Creative Commons Attribution 2.0 License.
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Vectors