SLIDE 1 42
5
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0011 0010 1010 1101 0001 0100 1011
Culminating Review for Vectors
An Introduction to Vectors Applications of Vectors Equations of Lines and Planes Relationships between Points, Lines and Planes
SLIDE 2 An Introduction to Vectors Geometric Vectors
A geometric vector is a representation of a vector using an arrow diagram, or directed line segment, that shows both magnitude and direction.
Referred to as or Magnitude is or
30o A B 5 km
SLIDE 3 Directions may be represented as a bearing; which is a compass measurement where the angle is measured from the north in a clockwise direction.
30o N 50o N
quadrant bearing; which is a measurement between 0o and 90o east or west from the north-south line.
N60oE or 060o S40oW or 220o
SLIDE 4
Cartesian (Algebraic) Vectors We identify as a Cartesian vector because its endpoints can be defined using Cartesian coordinates.
position vector
In 3-space
SLIDE 5
Operations with Vectors
Scalar Multiplication Geometric Vectors Algebraic Vectors If Then If Then
SLIDE 6
Vector Addition Geometric Vectors Algebraic Vectors If and If and
SLIDE 7
Vector Subtraction Geometric Vectors Algebraic Vectors If and If and
SLIDE 8
Applications of Vectors
The Dot Product Geometric Vectors Algebraic Vectors If and We can use the dot product to solve for the angle between any two vectors:
SLIDE 9 The Cross Product Geometric Vectors Algebraic Vectors
Note: Direction is determined using the right-hand rule
If and OR π2 π3 π1 π2 π2 π1 π3 π2 π¦ π§ π¨
down product minus the up product
The magnitude of the cross product is the area of a parallelogram defined by and
SLIDE 10
Scalar and Vector Projections The scalar projection of onto is The vector projection of onto is Recall:
SLIDE 11 Equations of Lines and Planes
Equations of Lines
Vector Equation:
π¦ = π¦π + π’π
If you equate the respective x, y and z components we
- btain the parametric equations:
π§ = π§π + π’π π¨ = π¨π + π’π
SLIDE 12
π¦ = π¦π + π’π
If you isolate each parametric equation for the parameter, π’, we have
π§ = π§π + π’π π¨ = π¨π + π’π
Combining these statements gives the symmetric equation of a line:
SLIDE 13 Equations of Planes
Vector Equation:
x = xo + sa1 + tb1
If you equate the respective π¦, π§ and π¨ components we
- btain the parametric equations:
y = yo + sa2 + tb2 z = zo + sa3 + tb3
[x, y, z] = [xo, yo, zo] + s[a1, a2, a3] + t[b1, b2, b3]
SLIDE 14 Cartesian Equation:
The Cartesian (or scalar) equation of a plane is of the form π΅π¦ + πΆπ§ + π·π¨ + πΈ = 0 with normal π = π΅, πΆ, π· . The normal π is a vector perpendicular to all vectors in the plane. Given two directions vectors the normal to a plane is determined by calculating the cross product of the direction vectors.
SLIDE 15
Relationships between Points, Lines and Planes
The Intersection of Two Lines l1 : [x, y, z] = [β3, 1, 4] + s[β1, 1, 4] l2 : [x, y, z] = [1, 4, 6] + t[β6, β1, 6] x = β3 β s y = 1 + s z = 4 + 4s x = 1 β 6t y = 4 β t z = 6 + 6t Convert to parametric form Select any two of the three equations and equate them l1 l2 β3 β s = 1 β 6t 1 + s = 4 β t Solve for s and t and sub these results into both lines to check your solution
SLIDE 16
The Intersection of a Line and a Plane l : [x, y, z] = [3, 1, 2] + s[1, β4, β8] ο° : 4x + 2y β z β 8 = 0 x = 3 + s y = 1 β 4s z = 2 β 8s Convert to line to parametric form Equate 4(3 + s) + 2(1 β 4s) β (2 β 8s) β 8 = 0 Solve for s sub this result into the line to determine the point of intersection
SLIDE 17
The Intersection of Two Planes ο°1 : x β y + z = 3 ο°2 : 2x + y β 2z = 3 Analyze the normals; what do they tell you? Eliminate one of the variables, for example, z, 2ο°1 + ο°2 gives 4π¦ β π§ = 9 Isolate for a variable π§ = 4π¦ β 9 Introduce a parameter Let π¦ = π’ π§ = 4π’ β 9 Substitute x = t and y = 4t β 9 into one of the planes t β (4t β 9) + z = 3 z = 3t β 6 The line of intersection is x = t y = 4t β 9 z = 3t β 6
SLIDE 18
The Intersection of Three Planes ο°1: 2π¦ + π§ β π¨ = β3 ο°2 : x β y + 2z = 0 ο°3 : 3x + 2y β z = β5 Create two new equations 2ο°1 + ο°3 : 5x + y = β6 ο°1 : 2x + y β z = β3 ο°3 : 3x + 2y β z = β5 2ο°1 : 4x + 2y β 2z = β6 ο°2 : x β y + 2z = 0 ο°1 β ο°3 : βx β y = 2 Solve for x and y, and use these values and one of the planes to determine the value of z. Verify the results using the other planes.
SLIDE 19 42
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0011 0010 1010 1101 0001 0100 1011
Culminating Review for Calculus
Limits Derivatives Velocity and Acceleration Extreme Values Optimization Curve Sketching
SLIDE 20 Limits
Tells us that the value of π π¦ approaches π as π¦ approaches the value π. lim
π¦βπ π π¦ = π
(a) lim
π¦β1β π π¦ =
(b) lim
π¦β1+ π π¦ =
(c) lim
π¦β1 π π¦ =
(d) π 1 =
SLIDE 21
lim
π¦β0 3π¦2 β 2π¦ + 7
lim
π¦ββ4
π¦2 + 7π¦ + 12 π¦ + 4 lim
π¦β0
π¦ + 9 β 3 π¦ lim
π¦β0
3 π¦ + 27 β 3
π¦ direct substitution factor and simplify multiply by the conjugate π¦ + 9 + 3
- r use substitution, let π£ =
π¦ + 9 use substitution, let π£ =
3 π¦ + 27
SLIDE 22 Continuity
- A function π is continuous at π¦ = π if
1. lim
π¦βπ π(π¦)
exists 2. lim
π¦βπ π π¦ = π π
SLIDE 23 Derivative of a function using first principles: πβ² π¦ = lim
ββ0
π π¦ + β β π π¦ β
Derivatives
Power Rule π π¦ = π¦π πβ² π¦ = ππ¦πβ1 Power of a Function Rule π π¦ = π π¦
π
πβ² π¦ = π π π¦
πβ1πβ² π¦
SLIDE 24 Product Rule π π¦ = π π¦ π π¦ πβ² π¦ = πβ² π¦ π π¦ + π π¦ πβ² π¦ Quotient Rule π π¦ = π π¦ π π¦ πβ² π¦ = πβ² π¦ π π¦ β π π¦ πβ² π¦ π π¦
2
Chain Rule π π¦ = π β π¦ πβ² π¦ = πβ² β π¦ ββ² π¦
SLIDE 25 Exponential Rules π π¦ = ππ¦ πβ² π¦ = ππ¦ π π¦ = ππ π¦ πβ² π¦ = ππ π¦ πβ² π¦ π π¦ = ππ¦ πβ² π¦ = ππ¦ ln π π π¦ = ππ π¦ πβ² π¦ = ππ π¦ (ln π) πβ² π¦
SLIDE 26 Trigonometric Rules π π¦ = sin π¦ πβ² π¦ = cos π¦ π π¦ = cos π¦ πβ² π¦ = β sin π¦ π π¦ = sin π π¦ πβ² π¦ = cos π π¦ πβ² π¦ π π¦ = cos π π¦ πβ² π¦ = β sin π π¦ πβ² π¦
SLIDE 27 Position, velocity and acceleration
- Given position as π‘ π’ then
β Velocity is π€ π’ = π‘β² π’ β Acceleration is π π’ = π€β² π’ = π‘β²β² π’
Velocity and Acceleration
SLIDE 28 Algorithm for Finding Maximum and Minimum (Extreme) Values: If a function π(π¦) has a derivative at every point in the interval π β€ π¦ β€ π, calculate π(π¦) at:
- all points in the interval π β€ π¦ β€ π, where πβ² π¦ = 0 (critical
values)
- the endpoint π¦ = π and π¦ = π
The maximum value of π(π¦) on the interval π β€ π¦ β€ π, is the largest
- f these values, and the minimum value of π(π¦) on the interval is the
smallest of these values
Extreme Values
SLIDE 29 An Algorithm for Solving Optimization Problems
Optimization
- Identify the variables.
- Determine a function that represents the quantity to be
- ptimized.
- Determine the domain of the function to be optimized.
- Use the algorithm for extreme values to find the absolute
maximum or minimum in the domain.
SLIDE 30 An Algorithm for Curve Sketching Using π π¦
- Determine any intercepts.
- Determine any vertical asymptotes and determine
the behaviour on either side of the asymptote.
- Determine any horizontal or oblique asymptotes.
Identify if the function values approach the asymptote from above or below. Using πβ² π¦
- Determine any critical numbers by finding where
πβ² π¦ = 0 or where πβ² π¦ is undefined.
- Determine the intervals of increase/decrease, and
identify any local or absolute extrema.
Curve Sketching
SLIDE 31 Using πβ²β² π¦
- Determine possible points of inflection by finding
where πβ²β² π¦ = 0 or where πβ²β²(π¦) is undefined.
- Determine the intervals of concavity, and identify
any points of inflection.